diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/1_eline_introduction.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/1_eline_introduction.ipynb deleted file mode 100644 index 2404a3b..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/1_eline_introduction.ipynb +++ /dev/null @@ -1,78 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "213a76bd-9423-4331-9d41-42533d04553f", - "metadata": {}, - "source": [ - "# The Impact of Climate Change on the Groundwater Recharge in the Sonoran Desert\n", - "By Eline Mol" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "3959edd1-7f21-481a-9a76-8e99aec081ad", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "4\n" - ] - } - ], - "source": [ - "print(2*2)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "580c0649-7a2a-4142-93e4-1cc3c95be446", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2\n" - ] - } - ], - "source": [ - "print(2)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "84c36b26-86d2-4c72-940a-10daebb054bd", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/1_introduction_emol.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/1_introduction_emol.ipynb deleted file mode 100644 index 89c321a..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/1_introduction_emol.ipynb +++ /dev/null @@ -1,100 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "213a76bd-9423-4331-9d41-42533d04553f", - "metadata": {}, - "source": [ - "# The Impact of Climate Change on the Groundwater Recharge in the Sonoran Desert\n", - "By Eline Mol" - ] - }, - { - "cell_type": "markdown", - "id": "fde7a748-b9e7-4bd0-8256-a52485db06e9", - "metadata": {}, - "source": [ - "## 1 Introduction\n", - "\n", - "Over the last century, the Earth’s climate has warmed more than 1 °C. In some regions more drought will occur, while other regions will be wetter (IPCC, 2021). In times limited of rainfall, groundwater storages will act as a natural buffer. These storages will provide against water scarcity, limiting evaporation in areas with shallow water tables and sustaining river and wetland baseflows which supports ecosystems and biodiversity (de Graaf et al., 2017). The process of water infiltrating into soil layers and replenishing groundwater is called groundwater recharge. Generally, groundwater is recharged through processes that are controlled by: geology, temperature, precipitation, potential evapotranspiration, humidity and land use (Castillo et al., 2021). \n", - "\n", - "Arid regions such as the Sonoran Desert rely on groundwater as a primary water source according to the Arizona Department of Water Resources (ADWR, 2023). However, long-term groundwater over-pumping poses a significant threat to this resource (PPIC, n.d.). In the Sonoran Desert region, groundwater management has been a pressing priority for decades. For instance, Arizona started regulating groundwater in its largest cities under a new law in 1980, the Groundwater Management Code. This law stated a goal of achieving a long-term balance between the amount of groundwater pumping and the amount of replenishing these buffers (James, 2021). In 2014, California adopted a similar law (Sustainable Groundwater Management Act) to manage and regulate its groundwater sources, as attempt to prevent and recover groundwater depleted basins (Mason, 2014). In Mexico, the Law of the Nation’s Water (LAN) is adopted in 1992, stating the management and regulation of water entitlement. It states the appropriation, allocation and concession of groundwater rights (Cruz-Ayala & Megdal, 2020).\n", - "\n", - "Due to growing concerns of the groundwater availability in the future, this report researches what the impact of climate change will be on the groundwater recharge in the Sonoran Desert. The analysis involves determining the threshold for groundwater recharge in the region and projecting future groundwater recharge by simulating three climate scenarios from CMIP6 in the PCR-GlobWB model. \n", - "\n", - "This report consists of five chapters. The first chapter serves as the introduction, outlining the research motivation, the problem analysis and the objectives of this study. Chapter 2 details the methodology of this study, focusing on the eWaterCycle platform and its application of the hydrological model PCR-GlobWB. Chapter 3 contains the results generated by this model. Chapter 4 includes a discussion, evaluating the results and reflecting on possible implications. Finally, chapter 5 concludes the report, gives recommendations for the future and provides the answer to the research question." - ] - }, - { - "cell_type": "markdown", - "id": "c13383fd-cbe8-441f-9b65-5fa4b2a93b1a", - "metadata": {}, - "source": [ - "### 1.1 Problem Analysis\n", - "\n", - "The Sonoran Desert is an arid region with a subtropical climate in the Southwestern of the United States and Northwestern of Mexico. According to the National Park Service (NPS, 2024) the desert covers approximately 260 000 km2 of this region, as shown in Figure 1. In this region, the hydrological system includes many streams and two primary rivers, the Colorado River and the Gila River, Figure 2. A majority of the smaller streams remain dry for most of the year (Kampf et al., 2018). \n", - "\n", - "Groundwater serves as the primary water source in the Sonoran Desert region, supporting both the urban, environmental and agricultural sector. The agricultural sector uses the biggest amount of the available water, about 75% of the available groundwater and surface water (ADWR, 2023; PPIC, n.d.). However, according to the Public Policy Institute of California (n.d.) consistently over pumping is now threatening this resource. \n", - "\t\n", - "The Sonoran Desert receives an average annual precipitation of 76-500 mm. Majority of the rainfall occurs during the summer monsoon thunderstorms. However, it also receives frequent low-intensity winter rains. Precipitation generally increases with elevation, due to orographic effects. A significant amount is occurring as snowfall. Precipitation is an important factor to recharge groundwater. Another critical factor is temperature, which influences the rate of evapotranspiration. High temperatures increase the rate of evapotranspiration, reducing the amount of water available for groundwater recharge (Dimitriadou & Nikolakopoulos, 2021). During the summer, air temperatures exceed 40°C. The temperatures in the winter are mild and mostly free of frost (NPS, 2024). \n", - "\n", - "It is inevitable that climate change will have an impact on the Sonoran Desert region. Changes in precipitation patterns and rising temperatures are likely to influence groundwater recharge processes. Therefore, this research focuses on the impact of climate change on groundwater recharge.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "e2aec37b-6249-4fc5-a96a-d3335128bf1f", - "metadata": {}, - "source": [ - "### 1.2 Research Objective\n", - "\n", - "It is expected that climate change will have an influence on the hydrological system of the Sonoran Desert. Due to developments and collaborations in hydrological models, more insight can be given on what the impact of climate change will be. This study elaborates on the impact of climate change on groundwater recharge in the Sonoran Desert. This will be done by answering the following main research question:\n", - "\n", - "*“How will climate change influence groundwater recharge in the Gila River basin in the Sonoran Desert over the 21st century?”*\n", - "\n", - "The main research question will be answered by simulating the groundwater recharge using the PCR-GlobWB model. Sub-questions to answer the main research question are as follows:\n", - "\n", - "•\tWhat is the groundwater recharge threshold?\n", - "\n", - "•\tWhat forcings are of importance in the Sonoran Desert?\n", - "\n", - "•\tWhich parameters will have an influence on the groundwater recharge?\n", - "\n", - "•\tFor which climate scenarios will groundwater recharge be simulated, and which scenario will have the biggest impact?\n", - "\n", - "When research questions have been answered by using the PCR-GlobWB model, similar steps will be taken with another model. The wflow model can be used to compare its results with the PCR-GlobWB model. This will give insights into the accuracy of the models and their outcomes.\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "89bc9a84-87bf-450d-ba14-e93d435e7b1a", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_20252050_approx.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_20252050_approx.ipynb deleted file mode 100644 index 4637131..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_20252050_approx.ipynb +++ /dev/null @@ -1,660 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Approximation groundwater recharge in 2025 to 2050\n", - "Evaporation in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model: SSP1-2.6\n", - "Location of the groundwater recharge: Gila river near Yuma." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126_100/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")\n", - "#print(pcrglob)" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Years for which PCR-GlobWB needs to simulate the approximation; 2025, 2050, 2075 and 2100." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_202452/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_202452')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " start_time=\"2075-01-31T00:00:00Z\",\n", - " end_time=\"2100-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")\n", - "\n", - "recharge126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " precipitation_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"precipitation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " landsurface_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " evaporation_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"total_evaporation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " recharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = precipitation_at_station126[0] + landsurface_at_station126[0] - evaporation_at_station126[0] \n", - " recharge126[\"PCRGlobWB: Sonoran Desert\"][time126] = recharge_at_station126[0]\n", - "\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp" - ] - }, - { - "cell_type": "markdown", - "id": "d145747f-bd55-4111-8932-c6f962548d04", - "metadata": {}, - "source": [ - "Comparing the approximation with the groundwater recharge that is simulated with PCR-GlobWB." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "64a62425-8a58-455e-a6fd-5c1efef91d90", - "metadata": {}, - "outputs": [], - "source": [ - "plt.plot(recharge126*1000, label=\"PCR-GlobWB Recharge\", color=\"darkblue\")\n", - "plt.plot(timeseries126*1000, label=\"Approximated Recharge\", color=\"orange\")\n", - "plt.title(\"PCR-GlobWB vs approximated groundwater recharge (SSP1-2.6)\")\n", - "plt.ylabel(\"Groundwater recharge [mm/day]\")\n", - "plt.xlabel(\"Time\")\n", - "#plt.xticks(rotation=30, ha='right')\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP4-6.0\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245_75/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250109_075828/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250109_075828')" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " start_time=\"2075-01-31T00:00:00Z\",\n", - " end_time=\"2100-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")\n", - "recharge245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ") " - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [ - { - "ename": "_InactiveRpcError", - "evalue": "<_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.UNAVAILABLE\n\tdetails = \"Socket closed\"\n\tdebug_error_string = \"UNKNOWN:Error received from peer {created_time:\"2025-01-09T11:11:06.413324334+01:00\", grpc_status:14, grpc_message:\"Socket closed\"}\"\n>", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31m_InactiveRpcError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[21], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m pcrglob245\u001b[38;5;241m.\u001b[39mtime \u001b[38;5;241m<\u001b[39m pcrglob245\u001b[38;5;241m.\u001b[39mend_time:\n\u001b[0;32m----> 2\u001b[0m \u001b[43mpcrglob245\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4\u001b[0m precipitation_at_station245 \u001b[38;5;241m=\u001b[39m pcrglob245\u001b[38;5;241m.\u001b[39mget_value_at_coords(\n\u001b[1;32m 5\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprecipitation\u001b[39m\u001b[38;5;124m\"\u001b[39m, lat\u001b[38;5;241m=\u001b[39m[station_latitude], lon\u001b[38;5;241m=\u001b[39m[station_longitude]\n\u001b[1;32m 6\u001b[0m )\n\u001b[1;32m 8\u001b[0m landsurface_at_station245 \u001b[38;5;241m=\u001b[39m pcrglob245\u001b[38;5;241m.\u001b[39mget_value_at_coords(\n\u001b[1;32m 9\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mland_surface_runoff\u001b[39m\u001b[38;5;124m\"\u001b[39m, lat\u001b[38;5;241m=\u001b[39m[station_latitude], lon\u001b[38;5;241m=\u001b[39m[station_longitude]\n\u001b[1;32m 10\u001b[0m )\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/base/model.py:182\u001b[0m, in \u001b[0;36meWaterCycleModel.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 181\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Advance model state by one time step.\"\"\"\u001b[39;00m\n\u001b[0;32m--> 182\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_bmi\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_optionaldest.py:52\u001b[0m, in \u001b[0;36mOptionalDestBmi.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 51\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m---> 52\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_memoized.py:60\u001b[0m, in \u001b[0;36mMemoizedBmi.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 59\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m---> 60\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/container.py:453\u001b[0m, in \u001b[0;36mBmiProxy.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 452\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 453\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_grpc_client.py:107\u001b[0m, in \u001b[0;36mBmiClient.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstub\u001b[38;5;241m.\u001b[39mupdate(bmi_pb2\u001b[38;5;241m.\u001b[39mEmpty())\n\u001b[1;32m 106\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m grpc\u001b[38;5;241m.\u001b[39mRpcError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m--> 107\u001b[0m \u001b[43mhandle_error\u001b[49m\u001b[43m(\u001b[49m\u001b[43me\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_grpc_client.py:105\u001b[0m, in \u001b[0;36mBmiClient.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 103\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 104\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 105\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstub\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbmi_pb2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mEmpty\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 106\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m grpc\u001b[38;5;241m.\u001b[39mRpcError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 107\u001b[0m handle_error(e)\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc/_channel.py:1176\u001b[0m, in \u001b[0;36m_UnaryUnaryMultiCallable.__call__\u001b[0;34m(self, request, timeout, metadata, credentials, wait_for_ready, compression)\u001b[0m\n\u001b[1;32m 1161\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\n\u001b[1;32m 1162\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 1163\u001b[0m request: Any,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1168\u001b[0m compression: Optional[grpc\u001b[38;5;241m.\u001b[39mCompression] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 1169\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[1;32m 1170\u001b[0m (\n\u001b[1;32m 1171\u001b[0m state,\n\u001b[1;32m 1172\u001b[0m call,\n\u001b[1;32m 1173\u001b[0m ) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_blocking(\n\u001b[1;32m 1174\u001b[0m request, timeout, metadata, credentials, wait_for_ready, compression\n\u001b[1;32m 1175\u001b[0m )\n\u001b[0;32m-> 1176\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_end_unary_response_blocking\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstate\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcall\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc/_channel.py:1005\u001b[0m, in \u001b[0;36m_end_unary_response_blocking\u001b[0;34m(state, call, with_call, deadline)\u001b[0m\n\u001b[1;32m 1003\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m state\u001b[38;5;241m.\u001b[39mresponse\n\u001b[1;32m 1004\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1005\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m _InactiveRpcError(state)\n", - "\u001b[0;31m_InactiveRpcError\u001b[0m: <_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.UNAVAILABLE\n\tdetails = \"Socket closed\"\n\tdebug_error_string = \"UNKNOWN:Error received from peer {created_time:\"2025-01-09T11:11:06.413324334+01:00\", grpc_status:14, grpc_message:\"Socket closed\"}\"\n>" - ] - } - ], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - " \n", - " precipitation_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"precipitation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " landsurface_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " evaporation_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"total_evaporation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " recharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = precipitation_at_station245[0] + landsurface_at_station245[0] - evaporation_at_station245[0] \n", - " recharge245[\"PCRGlobWB: Sonoran Desert\"][time245] = recharge_at_station245[0]\n", - " \n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp" - ] - }, - { - "cell_type": "markdown", - "id": "bf0cbc1c-3cb8-43ae-89b7-387e2b76e8a8", - "metadata": {}, - "source": [ - "Comparing the approximation with the groundwater recharge that is simulated with PCR-GlobWB." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f13419b8-1fae-40a1-aa2d-ae2f525c344b", - "metadata": {}, - "outputs": [], - "source": [ - "plt.plot(recharge245*1000, label=\"PCR-GlobWB Recharge\", color=\"darkblue\")\n", - "plt.plot(timeseries245*1000, label=\"Approximated Recharge\", color=\"orange\")\n", - "plt.title(\"PCR-GlobWB vs approximated groundwater recharge (SSP2-4.5)\")\n", - "plt.ylabel(\"Groundwater recharge [mm/day]\")\n", - "plt.xlabel(\"Time\")\n", - "plt.xticks(rotation=30, ha='right')\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585_75/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " end_time=\"2075-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")\n", - "\n", - "recharge585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " precipitation_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"precipitation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " landsurface_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " evaporation_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"total_evaporation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " recharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = precipitation_at_station585[0] + landsurface_at_station585[0] - evaporation_at_station585[0] \n", - " recharge585[\"PCRGlobWB: Sonoran Desert\"][time585] = recharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "6f3a0e25-cc9f-4666-8e84-a37259a9770e", - "metadata": {}, - "source": [ - "Comparing the approximation with the groundwater recharge that is simulated with PCR-GlobWB." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d749568c-d2cb-4251-b635-412d2aa507f8", - "metadata": {}, - "outputs": [], - "source": [ - "plt.plot(recharge585*1000, label=\"PCR-GlobWB Recharge\", color=\"darkblue\")\n", - "plt.plot(timeseries585*1000, label=\"Approximated Recharge\", color=\"orange\")\n", - "plt.title(\"PCR-GlobWB vs approximated groundwater recharge (SSP2-4.5)\")\n", - "plt.ylabel(\"Groundwater recharge [mm/day]\")\n", - "plt.xlabel(\"Time\")\n", - "plt.xticks(rotation=30, ha='right')\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [], - "source": [ - "plt.plot(timeseries126*1000, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245*1000, label=\"SSP2-4.5\", color=\"darkblue\")\n", - "plt.plot(timeseries585*1000, label=\"SSP5-8.5\", color=\"orange\")\n", - "\n", - "plt.title(\"Approximation Groundwater Recharge (2075)\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Groundwater Recharge [mm/day]\")\n", - "plt.xticks(rotation=30, ha='right')\n", - "plt.legend(loc=2);" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "939e4944-a557-43b4-ac18-0d85f234cd52", - "metadata": {}, - "outputs": [], - "source": [ - "total_126 = timeseries126.sum() * 1000 \n", - "total_245 = timeseries245.sum() * 1000 \n", - "total_585 = timeseries585.sum() * 1000 \n", - "\n", - "categories = [\"SSP1-2.6\", \"SSP2-4.5\", \"SSP5-8.5\"]\n", - "totals = [total_126, total_245, total_585]\n", - "colors = [\"green\", \"darkblue\", \"orange\"]\n", - "\n", - "for i in range(len(totals)):\n", - " plt.bar(categories[i], totals[i], color=colors[i])\n", - "\n", - "plt.title(\"Total Groundwater Recharge Approximation (2075)\")\n", - "plt.ylabel(\"Total Groundwater Recharge [mm]\")\n", - "plt.grid()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b88d737e-7911-4bc4-ad57-7e6c4631e2a7", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_approx.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_approx.ipynb index 407dbcc..b1c17c4 100644 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_approx.ipynb +++ b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_approx.ipynb @@ -51,8 +51,8 @@ "metadata": {}, "outputs": [], "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" + "station_latitude = [32.76336494699427, 32.88909499784028, 32.684089485789755, 32.865669088682274, 32.719162360122446, 32.828650757990125, 32.756881878799334, 32.82063561463508, 32.60777730703933, 32.67058677793268, 32.94848416830013]\n", + "station_longitude = [-114.55114003114731, -114.5017866074773, -114.51809096391581, -113.9776363724262, -114.07727215815218, -113.85359656233821, -114.01646418905023, -113.60895076390092, -114.10631164360657, -113.76005959016287, -113.35280271756335]" ] }, { @@ -88,7 +88,7 @@ "outputs": [], "source": [ "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126/work/diagnostic/script\",\n", + " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126_25/work/diagnostic/script\",\n", ")\n", "#print(forcing)" ] @@ -138,6 +138,7 @@ "#end_time = \"2025-12-31T00:00:00Z\"\n", "\n", "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", + " start_time=\"2025-12-31T00:00:00Z\",\n", " end_time=\"2025-12-31T00:00:00Z\",\n", " max_spinups_in_years=0\n", ")\n", @@ -204,6 +205,63 @@ " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "0e88bb4c-114c-4d34-b511-6d61811ef5e2", + "metadata": {}, + "outputs": [], + "source": [ + "while pcrglob126.time < pcrglob126.end_time:\n", + " pcrglob126.update()\n", + "\n", + " # Track discharge for all station locations\n", + " time = pcrglob.time_as_isostr # Current time as ISO string\n", + " for i in range(len(station_latitude)):\n", + " \n", + " discharge_at_station = pcrglob.get_value_at_coords(\n", + " \"discharge\", lat=[station_latitude[i]], lon=[station_longitude[i]]\n", + " )\n", + "\n", + " precipitation_at_station126 = pcrglob126.get_value_at_coords(\n", + " \"precipitation\", lat=[station_latitude], lon=[station_longitude]\n", + " )\n", + "\n", + " landsurface_at_station126 = pcrglob126.get_value_at_coords(\n", + " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", + " )\n", + " \n", + " evaporation_at_station126 = pcrglob126.get_value_at_coords(\n", + " \"total_evaporation\", lat=[station_latitude], lon=[station_longitude]\n", + " )\n", + "\n", + " recharge_at_station126 = pcrglob126.get_value_at_coords(\n", + " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", + " )\n", + "\n", + " abstraction_at_station126 = pcrglob.get_value_at_coords(\n", + " \"total_groundwater_abstraction\", lat=[station_latitude[i]], lon=[station_longitude[i]]\n", + " )\n", + " \n", + " station_key = f\"PCRGlobWB: Station {i+1}\" \n", + " if station_key not in timeseries:\n", + " timeseries[station_key] = {}\n", + "\n", + " if station_key not in recharge:\n", + " recharge[station_key] = {}\n", + " \n", + " if station_key not in discharge:\n", + " discharge[station_key] = {}\n", + " \n", + " # Store the discharge value for the current time\n", + " timeseries126[station_key][time] = precipitation_at_station126[0] + landsurface_at_station126[0] - evaporation_at_station126[0] - abstraction_at_station126[0] \n", + " recharge126[station_key][time] = recharge_at_station126[0]\n", + " discharge126[station_key][time] = discharge_at_station126[0]\n", + "\n", + " # Show progress\n", + " #print(time, end='\\r') " + ] + }, { "cell_type": "markdown", "id": "d145747f-bd55-4111-8932-c6f962548d04", diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_dis.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_dis.ipynb deleted file mode 100644 index e189318..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_dis.ipynb +++ /dev/null @@ -1,659 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Discharge in 2025\n", - "Discharge in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model for SSP1-2.6\n", - "Location of the groundwater recharge: Gila river near Yuma." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126_25/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")\n", - "#print(pcrglob)" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Starting and initializing the model" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250109_094419/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250109_094419')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " start_tine=\"2025-01-01T00:00:00Z\",\n", - " end_time=\"2025-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"discharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = discharge_at_station126[0]\n", - "\n", - " # Show progress\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "607c5fcd-95ed-4d7d-a040-b5948d5c6e64", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "timeseries126.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "b247d9a7-00d8-4d1b-8b2a-62a3f61ccde7", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the Gila River near Yumafor SSP1-2.6." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e32dc1d3-b768-4dd3-8919-67af82b627bd", - "metadata": {}, - "outputs": [], - "source": [ - "da126 = pcrglob126.get_value_as_xarray(\"discharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "916657b4-b345-42fe-9ac5-3762ac86c595", - "metadata": {}, - "outputs": [], - "source": [ - "fig126 = plt.figure(dpi=120)\n", - "ax126 = fig126.add_subplot(111, projection=crs.PlateCarree())\n", - "da126.plot(ax=ax126, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax126.add_feature(cfeature.OCEAN)\n", - "ax126.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax126.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax126.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax126.set_title(\"Sonoran Desert SSP1-2.6\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP2-4.5\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245_25/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250109_100339/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250109_100339')" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " start_time=\"2025-01-01T00:00:00Z\",\n", - " end_time=\"2025-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [ - { - "ename": "_InactiveRpcError", - "evalue": "<_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.UNAVAILABLE\n\tdetails = \"Socket closed\"\n\tdebug_error_string = \"UNKNOWN:Error received from peer {grpc_message:\"Socket closed\", grpc_status:14, created_time:\"2025-01-09T11:11:06.64509563+01:00\"}\"\n>", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31m_InactiveRpcError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[17], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m pcrglob245\u001b[38;5;241m.\u001b[39mtime \u001b[38;5;241m<\u001b[39m pcrglob245\u001b[38;5;241m.\u001b[39mend_time:\n\u001b[0;32m----> 2\u001b[0m \u001b[43mpcrglob245\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[38;5;66;03m# Track discharge at station location\u001b[39;00m\n\u001b[1;32m 5\u001b[0m discharge_at_station245 \u001b[38;5;241m=\u001b[39m pcrglob245\u001b[38;5;241m.\u001b[39mget_value_at_coords(\n\u001b[1;32m 6\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdischarge\u001b[39m\u001b[38;5;124m\"\u001b[39m, lat\u001b[38;5;241m=\u001b[39m[station_latitude], lon\u001b[38;5;241m=\u001b[39m[station_longitude]\n\u001b[1;32m 7\u001b[0m )\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/base/model.py:182\u001b[0m, in \u001b[0;36meWaterCycleModel.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 181\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Advance model state by one time step.\"\"\"\u001b[39;00m\n\u001b[0;32m--> 182\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_bmi\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_optionaldest.py:52\u001b[0m, in \u001b[0;36mOptionalDestBmi.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 51\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m---> 52\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_memoized.py:60\u001b[0m, in \u001b[0;36mMemoizedBmi.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 59\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m---> 60\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/container.py:453\u001b[0m, in \u001b[0;36mBmiProxy.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 452\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 453\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_grpc_client.py:107\u001b[0m, in \u001b[0;36mBmiClient.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstub\u001b[38;5;241m.\u001b[39mupdate(bmi_pb2\u001b[38;5;241m.\u001b[39mEmpty())\n\u001b[1;32m 106\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m grpc\u001b[38;5;241m.\u001b[39mRpcError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m--> 107\u001b[0m \u001b[43mhandle_error\u001b[49m\u001b[43m(\u001b[49m\u001b[43me\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_grpc_client.py:105\u001b[0m, in \u001b[0;36mBmiClient.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 103\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 104\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 105\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstub\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbmi_pb2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mEmpty\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 106\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m grpc\u001b[38;5;241m.\u001b[39mRpcError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 107\u001b[0m handle_error(e)\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc/_channel.py:1176\u001b[0m, in \u001b[0;36m_UnaryUnaryMultiCallable.__call__\u001b[0;34m(self, request, timeout, metadata, credentials, wait_for_ready, compression)\u001b[0m\n\u001b[1;32m 1161\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\n\u001b[1;32m 1162\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 1163\u001b[0m request: Any,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1168\u001b[0m compression: Optional[grpc\u001b[38;5;241m.\u001b[39mCompression] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 1169\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[1;32m 1170\u001b[0m (\n\u001b[1;32m 1171\u001b[0m state,\n\u001b[1;32m 1172\u001b[0m call,\n\u001b[1;32m 1173\u001b[0m ) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_blocking(\n\u001b[1;32m 1174\u001b[0m request, timeout, metadata, credentials, wait_for_ready, compression\n\u001b[1;32m 1175\u001b[0m )\n\u001b[0;32m-> 1176\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_end_unary_response_blocking\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstate\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcall\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc/_channel.py:1005\u001b[0m, in \u001b[0;36m_end_unary_response_blocking\u001b[0;34m(state, call, with_call, deadline)\u001b[0m\n\u001b[1;32m 1003\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m state\u001b[38;5;241m.\u001b[39mresponse\n\u001b[1;32m 1004\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1005\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m _InactiveRpcError(state)\n", - "\u001b[0;31m_InactiveRpcError\u001b[0m: <_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.UNAVAILABLE\n\tdetails = \"Socket closed\"\n\tdebug_error_string = \"UNKNOWN:Error received from peer {grpc_message:\"Socket closed\", grpc_status:14, created_time:\"2025-01-09T11:11:06.64509563+01:00\"}\"\n>" - ] - } - ], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"discharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = discharge_at_station245[0]\n", - "\n", - " # Show progress\n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "37974d63-7177-4681-ac2d-4618b6aae493", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the Gila River near Yuma for SSP4-6.0." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "91e9030b-b052-4d90-864c-091217f78292", - "metadata": {}, - "outputs": [], - "source": [ - "da245 = pcrglob245.get_value_as_xarray(\"discharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dd6408f5-0344-4f53-9c15-be1f7b7dcb67", - "metadata": {}, - "outputs": [], - "source": [ - "fig245 = plt.figure(dpi=120)\n", - "ax245 = fig245.add_subplot(111, projection=crs.PlateCarree())\n", - "da245.plot(ax=ax245, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax245.add_feature(cfeature.OCEAN)\n", - "ax245.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax245.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax245.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax245.set_title(\"Sonoran Desert SSP2-4.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585_25/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " start_time=\"2025-01-01T00:00:00Z\",\n", - " end_time=\"2025-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"discharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = discharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "92793746-27c5-4762-8646-00335146db96", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the Gila River near Yuma for SSP5-8.5." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9b397721-1fb5-4b52-a73e-504d3fec2ed4", - "metadata": {}, - "outputs": [], - "source": [ - "da585 = pcrglob585.get_value_as_xarray(\"discharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cdb73527-fc01-4a0e-a60e-0a3efcadcd87", - "metadata": {}, - "outputs": [], - "source": [ - "fig585 = plt.figure(dpi=120)\n", - "ax585 = fig585.add_subplot(111, projection=crs.PlateCarree())\n", - "da585.plot(ax=ax585, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax585.add_feature(cfeature.OCEAN)\n", - "ax585.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax585.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax585.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax585.set_title(\"Sonoran Desert SSP5-8.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [], - "source": [ - "plt.plot(timeseries126, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245, label=\"SSP2-4.5\", color=\"darkblue\")\n", - "plt.plot(timeseries585, label=\"SSP5-8.5\", color=\"orange\")\n", - "#plt.axhline(y=0.966, color=\"red\", linestyle=\"--\", label=\"Threshold\")\n", - "\n", - "plt.title(\"Discharge CMIP6 (2025\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Discharge [m3/s]\")\n", - "plt.xticks(rotation=45, ha='right')\n", - "plt.legend(loc=1);" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_evap.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_evap.ipynb index b32483a..ed90e2b 100644 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_evap.ipynb +++ b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_evap.ipynb @@ -124,8 +124,8 @@ { "data": { "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_151223/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_151223')" + "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250110_073922/pcrglobwb_ewatercycle.ini',\n", + " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250110_073922')" ] }, "execution_count": 6, diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_rech.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_rech.ipynb deleted file mode 100644 index 8b24b5c..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_rech.ipynb +++ /dev/null @@ -1,790 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Groundwater recharge in 2025\n", - "Groundwater recharge in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model\n", - "Location of the groundwater recharge: Gila river near Yuma & ..." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126_25/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Starting and initializing the model" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_113720/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_113720')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " end_time=\"2025-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "markdown", - "id": "1d5efb10-0814-4b11-9161-3c77d4675bc3", - "metadata": {}, - "source": [ - "Running the model" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = discharge_at_station126[0]\n", - "\n", - " # Show progress\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "e0038bd6-03eb-4ddd-9719-815fe5b005e3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "timeseries126.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "b247d9a7-00d8-4d1b-8b2a-62a3f61ccde7", - "metadata": {}, - "source": [ - "### Results\n", - "Graph of the groundwater recharge in 2025" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "e32dc1d3-b768-4dd3-8919-67af82b627bd", - "metadata": {}, - "outputs": [], - "source": [ - "da126 = pcrglob126.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "916657b4-b345-42fe-9ac5-3762ac86c595", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig126 = plt.figure(dpi=120)\n", - "ax126 = fig126.add_subplot(111, projection=crs.PlateCarree())\n", - "da126.plot(ax=ax126, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax126.add_feature(cfeature.OCEAN)\n", - "ax126.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax126.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax126.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax126.set_title(\"Sonoran Desert SSP1-2.6\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP4-6.0\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245_25/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_121058/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_121058')" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " end_time=\"2025-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = discharge_at_station245[0]\n", - "\n", - " # Show progress\n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "3cc1f096-4d36-4cc0-bd36-a353650f0092", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "timeseries245.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "37974d63-7177-4681-ac2d-4618b6aae493", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP4-6.0." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "91e9030b-b052-4d90-864c-091217f78292", - "metadata": {}, - "outputs": [], - "source": [ - "da245 = pcrglob245.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "dd6408f5-0344-4f53-9c15-be1f7b7dcb67", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig245 = plt.figure(dpi=120)\n", - "ax245 = fig245.add_subplot(111, projection=crs.PlateCarree())\n", - "da245.plot(ax=ax245, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax245.add_feature(cfeature.OCEAN)\n", - "ax245.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax245.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax245.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax245.set_title(\"Sonoran Desert SSP2-4.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585_25/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_123254/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_123254')" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " end_time=\"2025-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = discharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "f821bf3e-42ea-44e4-9f14-1bc512ff770a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "timeseries585.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "92793746-27c5-4762-8646-00335146db96", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP5-8.5." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9b397721-1fb5-4b52-a73e-504d3fec2ed4", - "metadata": {}, - "outputs": [], - "source": [ - "da585 = pcrglob585.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cdb73527-fc01-4a0e-a60e-0a3efcadcd87", - "metadata": {}, - "outputs": [], - "source": [ - "fig585 = plt.figure(dpi=120)\n", - "ax585 = fig585.add_subplot(111, projection=crs.PlateCarree())\n", - "da585.plot(ax=ax585, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax585.add_feature(cfeature.OCEAN)\n", - "ax585.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax585.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax585.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax585.set_title(\"Sonoran Desert SSP5-8.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(timeseries126*1000, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245*1000, label=\"SSP2-4.5\", color=\"darkblue\")\n", - "plt.plot(timeseries585*1000, label=\"SSP5-8.5\", color=\"orange\")\n", - "\n", - "plt.title(\"Groundwater Recharge CMIP6 (2025)\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Recharge [mm/day]\")\n", - "plt.xticks(rotation=30, ha='right')\n", - "plt.legend(loc=2);" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "202e6208-00a1-4520-9852-08e99a93e772", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "total_126 = timeseries126.sum() * 1000 \n", - "total_245 = timeseries245.sum() * 1000 \n", - "total_585 = timeseries585.sum() * 1000 \n", - "\n", - "categories = [\"SSP1-2.6\", \"SSP2-4.5\", \"SSP5-8.5\"]\n", - "totals = [total_126, total_245, total_585]\n", - "colors = [\"green\", \"darkblue\", \"orange\"]\n", - "\n", - "for i in range(len(totals)):\n", - " plt.bar(categories[i], totals[i], color=colors[i])\n", - "\n", - "plt.title(\"Total Groundwater Recharge CMIP6 (2025)\")\n", - "plt.ylabel(\"Total Groundwater Recharge [mm]\")\n", - "plt.grid()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4e8ca028-958c-42b4-9d2f-c01f7f1096b9", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_surf.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_surf.ipynb deleted file mode 100644 index 9160066..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2025_surf.ipynb +++ /dev/null @@ -1,668 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Land surface runoff in 2025\n", - "Land surface runoff in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model: SSP1-2.6\n", - "Location of the groundwater recharge: Gila river near Yuma." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")\n", - "#print(pcrglob)" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Starting and initializing the model" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_120222/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_120222')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = discharge_at_station126[0]\n", - "\n", - " # Show progress\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "b247d9a7-00d8-4d1b-8b2a-62a3f61ccde7", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP1-2.6." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "e32dc1d3-b768-4dd3-8919-67af82b627bd", - "metadata": {}, - "outputs": [], - "source": [ - "da126 = pcrglob126.get_value_as_xarray(\"land_surface_runoff\")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "916657b4-b345-42fe-9ac5-3762ac86c595", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig126 = plt.figure(dpi=120)\n", - "ax126 = fig126.add_subplot(111, projection=crs.PlateCarree())\n", - "da126.plot(ax=ax126, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax126.add_feature(cfeature.OCEAN)\n", - "ax126.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax126.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax126.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax126.set_title(\"Sonoran Desert SSP1-2.6\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP4-6.0\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_120418/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_120418')" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = discharge_at_station245[0]\n", - "\n", - " # Show progress\n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "37974d63-7177-4681-ac2d-4618b6aae493", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP4-6.0." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "91e9030b-b052-4d90-864c-091217f78292", - "metadata": {}, - "outputs": [], - "source": [ - "da245 = pcrglob245.get_value_as_xarray(\"land_surface_runoff\")" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "dd6408f5-0344-4f53-9c15-be1f7b7dcb67", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig245 = plt.figure(dpi=120)\n", - "ax245 = fig245.add_subplot(111, projection=crs.PlateCarree())\n", - "da245.plot(ax=ax245, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax245.add_feature(cfeature.OCEAN)\n", - "ax245.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax245.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax245.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax245.set_title(\"Sonoran Desert SSP2-4.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_120939/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_120939')" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = discharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "92793746-27c5-4762-8646-00335146db96", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP5-8.5." - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "9b397721-1fb5-4b52-a73e-504d3fec2ed4", - "metadata": {}, - "outputs": [], - "source": [ - "da585 = pcrglob585.get_value_as_xarray(\"total_evaporation\")" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "cdb73527-fc01-4a0e-a60e-0a3efcadcd87", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig585 = plt.figure(dpi=120)\n", - "ax585 = fig585.add_subplot(111, projection=crs.PlateCarree())\n", - "da585.plot(ax=ax585, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax585.add_feature(cfeature.OCEAN)\n", - "ax585.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax585.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax585.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax585.set_title(\"Sonoran Desert SSP5-8.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(timeseries126*1000, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245*1000, label=\"SSP2-4.5\", color=\"darkblue\")\n", - "plt.plot(timeseries585*1000, label=\"SSP5-8.5\", color=\"orange\")\n", - "\n", - "plt.title(\"Land surface runoff CMIP6 (aug 2025)\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Runoff [mm/day]\")\n", - "plt.xticks(rotation=45, ha='right')\n", - "plt.legend(loc=1);" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f86520ce-4217-4765-a966-3ad46d71a97f", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2050_dis.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2050_dis.ipynb deleted file mode 100644 index d268ee7..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2050_dis.ipynb +++ /dev/null @@ -1,613 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Discharge in 2050\n", - "Discharge in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [ - { - "ename": "OSError", - "evalue": "[Errno 107] Transport endpoint is not connected: '/data/shared/observation/grdc/dailies'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[2], line 14\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mpandas\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mpd\u001b[39;00m\n\u001b[1;32m 12\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mxarray\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mxr\u001b[39;00m\n\u001b[0;32m---> 14\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mewatercycle\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mforcing\u001b[39;00m\n\u001b[1;32m 15\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mewatercycle\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmodels\u001b[39;00m\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mewatercycle\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mparameter_sets\u001b[39;00m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/__init__.py:3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;124;03m\"\"\"ewatercycle package.\"\"\"\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mconfig\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m CFG \u001b[38;5;28;01mas\u001b[39;00m CFG\n\u001b[1;32m 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mversion\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m __version__ \u001b[38;5;28;01mas\u001b[39;00m __version__\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/config/__init__.py:321\u001b[0m\n\u001b[1;32m 317\u001b[0m _SOURCES \u001b[38;5;241m=\u001b[39m (USER_HOME_CONFIG, SYSTEM_CONFIG)\n\u001b[1;32m 319\u001b[0m USER_CONFIG \u001b[38;5;241m=\u001b[39m _find_user_config(_SOURCES)\n\u001b[0;32m--> 321\u001b[0m CFG \u001b[38;5;241m=\u001b[39m \u001b[43mConfiguration\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_load_user_config\u001b[49m\u001b[43m(\u001b[49m\u001b[43mUSER_CONFIG\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mif\u001b[39;00m USER_CONFIG \u001b[38;5;28;01melse\u001b[39;00m Configuration()\n\u001b[1;32m 322\u001b[0m \u001b[38;5;124;03m\"\"\"eWaterCycle configuration object.\u001b[39;00m\n\u001b[1;32m 323\u001b[0m \n\u001b[1;32m 324\u001b[0m \u001b[38;5;124;03mThe configuration is loaded from:\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 341\u001b[0m \u001b[38;5;124;03m # apptainer pull docker://ewatercycle/wflow-grpc4bmi:2020.1.1\u001b[39;00m\n\u001b[1;32m 342\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/config/__init__.py:197\u001b[0m, in \u001b[0;36mConfiguration._load_user_config\u001b[0;34m(cls, filename)\u001b[0m\n\u001b[1;32m 195\u001b[0m mapping \u001b[38;5;241m=\u001b[39m _read_config_file(filename)\n\u001b[1;32m 196\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 197\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mConfiguration\u001b[49m\u001b[43m(\u001b[49m\u001b[43mewatercycle_config\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mmapping\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 198\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ValidationError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 199\u001b[0m \u001b[38;5;66;03m# Append filename to error locs\u001b[39;00m\n\u001b[1;32m 200\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m error \u001b[38;5;129;01min\u001b[39;00m e\u001b[38;5;241m.\u001b[39merrors():\n", - " \u001b[0;31m[... skipping hidden 1 frame]\u001b[0m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/pydantic/types.py:1236\u001b[0m, in \u001b[0;36mPathType.validate_directory\u001b[0;34m(path, _)\u001b[0m\n\u001b[1;32m 1234\u001b[0m \u001b[38;5;129m@staticmethod\u001b[39m\n\u001b[1;32m 1235\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mvalidate_directory\u001b[39m(path: Path, _: core_schema\u001b[38;5;241m.\u001b[39mValidationInfo) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Path:\n\u001b[0;32m-> 1236\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[43mpath\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mis_dir\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[1;32m 1237\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m path\n\u001b[1;32m 1238\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/pathlib.py:875\u001b[0m, in \u001b[0;36mPath.is_dir\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 871\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 872\u001b[0m \u001b[38;5;124;03mWhether this path is a directory.\u001b[39;00m\n\u001b[1;32m 873\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 874\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 875\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m S_ISDIR(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstat\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mst_mode)\n\u001b[1;32m 876\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 877\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m _ignore_error(e):\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/pathlib.py:840\u001b[0m, in \u001b[0;36mPath.stat\u001b[0;34m(self, follow_symlinks)\u001b[0m\n\u001b[1;32m 835\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mstat\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m, follow_symlinks\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[1;32m 836\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 837\u001b[0m \u001b[38;5;124;03m Return the result of the stat() system call on this path, like\u001b[39;00m\n\u001b[1;32m 838\u001b[0m \u001b[38;5;124;03m os.stat() does.\u001b[39;00m\n\u001b[1;32m 839\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 840\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstat\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfollow_symlinks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfollow_symlinks\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[0;31mOSError\u001b[0m: [Errno 107] Transport endpoint is not connected: '/data/shared/observation/grdc/dailies'" - ] - } - ], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model for SSP1-2.6\n", - "Location of the groundwater recharge: Gila river near Yuma." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")\n", - "#print(pcrglob)" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Starting and initializing the model" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " start_tine=\"2050-01-01T00:00:00Z\",\n", - " end_time=\"2050-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"discharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = discharge_at_station126[0]\n", - "\n", - " # Show progress\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "607c5fcd-95ed-4d7d-a040-b5948d5c6e64", - "metadata": {}, - "outputs": [], - "source": [ - "timeseries126.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "b247d9a7-00d8-4d1b-8b2a-62a3f61ccde7", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the Gila River near Yumafor SSP1-2.6." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e32dc1d3-b768-4dd3-8919-67af82b627bd", - "metadata": {}, - "outputs": [], - "source": [ - "da126 = pcrglob126.get_value_as_xarray(\"discharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "916657b4-b345-42fe-9ac5-3762ac86c595", - "metadata": {}, - "outputs": [], - "source": [ - "fig126 = plt.figure(dpi=120)\n", - "ax126 = fig126.add_subplot(111, projection=crs.PlateCarree())\n", - "da126.plot(ax=ax126, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax126.add_feature(cfeature.OCEAN)\n", - "ax126.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax126.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax126.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax126.set_title(\"Sonoran Desert SSP1-2.6\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP2-4.5\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " start_time=\"2050-01-01T00:00:00Z\",\n", - " end_time=\"2050-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"discharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = discharge_at_station245[0]\n", - "\n", - " # Show progress\n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "37974d63-7177-4681-ac2d-4618b6aae493", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the Gila River near Yuma for SSP4-6.0." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "91e9030b-b052-4d90-864c-091217f78292", - "metadata": {}, - "outputs": [], - "source": [ - "da245 = pcrglob245.get_value_as_xarray(\"discharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dd6408f5-0344-4f53-9c15-be1f7b7dcb67", - "metadata": {}, - "outputs": [], - "source": [ - "fig245 = plt.figure(dpi=120)\n", - "ax245 = fig245.add_subplot(111, projection=crs.PlateCarree())\n", - "da245.plot(ax=ax245, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax245.add_feature(cfeature.OCEAN)\n", - "ax245.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax245.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax245.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax245.set_title(\"Sonoran Desert SSP2-4.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " start_time=\"2050-01-01T00:00:00Z\",\n", - " end_time=\"2050-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"discharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = discharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "92793746-27c5-4762-8646-00335146db96", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the Gila River near Yuma for SSP5-8.5." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9b397721-1fb5-4b52-a73e-504d3fec2ed4", - "metadata": {}, - "outputs": [], - "source": [ - "da585 = pcrglob585.get_value_as_xarray(\"discharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cdb73527-fc01-4a0e-a60e-0a3efcadcd87", - "metadata": {}, - "outputs": [], - "source": [ - "fig585 = plt.figure(dpi=120)\n", - "ax585 = fig585.add_subplot(111, projection=crs.PlateCarree())\n", - "da585.plot(ax=ax585, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax585.add_feature(cfeature.OCEAN)\n", - "ax585.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax585.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax585.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax585.set_title(\"Sonoran Desert SSP5-8.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [], - "source": [ - "plt.plot(timeseries126, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245, label=\"SSP2-4.5\", color=\"darkblue\")\n", - "plt.plot(timeseries585, label=\"SSP5-8.5\", color=\"orange\")\n", - "#plt.axhline(y=0.966, color=\"red\", linestyle=\"--\", label=\"Threshold\")\n", - "\n", - "plt.title(\"Discharge CMIP6 (2050\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Discharge [m3/s]\")\n", - "plt.xticks(rotation=45, ha='right')\n", - "plt.legend(loc=1);" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2050_rech.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2050_rech.ipynb deleted file mode 100644 index 25c5a0a..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2050_rech.ipynb +++ /dev/null @@ -1,788 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Groundwater recharge in 2050\n", - "Groundwater recharge in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model\n", - "Location of the groundwater recharge: Gila river near Yuma & ..." - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Starting and initializing the model" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_191623/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_191623')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " end_time=\"2050-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "markdown", - "id": "1d5efb10-0814-4b11-9161-3c77d4675bc3", - "metadata": {}, - "source": [ - "Running the model" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = discharge_at_station126[0]\n", - "\n", - " # Show progress\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "e0038bd6-03eb-4ddd-9719-815fe5b005e3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "timeseries126.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "b247d9a7-00d8-4d1b-8b2a-62a3f61ccde7", - "metadata": {}, - "source": [ - "### Results\n", - "Graph of the groundwater recharge in 2025" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e32dc1d3-b768-4dd3-8919-67af82b627bd", - "metadata": {}, - "outputs": [], - "source": [ - "da126 = pcrglob126.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "916657b4-b345-42fe-9ac5-3762ac86c595", - "metadata": {}, - "outputs": [], - "source": [ - "fig126 = plt.figure(dpi=120)\n", - "ax126 = fig126.add_subplot(111, projection=crs.PlateCarree())\n", - "da126.plot(ax=ax126, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax126.add_feature(cfeature.OCEAN)\n", - "ax126.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax126.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax126.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax126.set_title(\"Sonoran Desert SSP1-2.6\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP4-6.0\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_194756/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_194756')" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " end_time=\"2050-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = discharge_at_station245[0]\n", - "\n", - " # Show progress\n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "3cc1f096-4d36-4cc0-bd36-a353650f0092", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "timeseries245.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "37974d63-7177-4681-ac2d-4618b6aae493", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP4-6.0." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "91e9030b-b052-4d90-864c-091217f78292", - "metadata": {}, - "outputs": [], - "source": [ - "da245 = pcrglob245.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dd6408f5-0344-4f53-9c15-be1f7b7dcb67", - "metadata": {}, - "outputs": [], - "source": [ - "fig245 = plt.figure(dpi=120)\n", - "ax245 = fig245.add_subplot(111, projection=crs.PlateCarree())\n", - "da245.plot(ax=ax245, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax245.add_feature(cfeature.OCEAN)\n", - "ax245.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax245.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax245.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax245.set_title(\"Sonoran Desert SSP2-4.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_101123/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_101123')" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " end_time=\"2050-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = discharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "id": "f821bf3e-42ea-44e4-9f14-1bc512ff770a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "timeseries585.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "92793746-27c5-4762-8646-00335146db96", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP5-8.5." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9b397721-1fb5-4b52-a73e-504d3fec2ed4", - "metadata": {}, - "outputs": [], - "source": [ - "da585 = pcrglob585.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cdb73527-fc01-4a0e-a60e-0a3efcadcd87", - "metadata": {}, - "outputs": [], - "source": [ - "fig585 = plt.figure(dpi=120)\n", - "ax585 = fig585.add_subplot(111, projection=crs.PlateCarree())\n", - "da585.plot(ax=ax585, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax585.add_feature(cfeature.OCEAN)\n", - "ax585.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax585.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax585.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax585.set_title(\"Sonoran Desert SSP5-8.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(timeseries126*1000, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245*1000, label=\"SSP2-4.5\", color=\"darkblue\")\n", - "plt.plot(timeseries585*1000, label=\"SSP5-8.5\", color=\"orange\")\n", - "\n", - "plt.title(\"Groundwater Recharge CMIP6 (2050)\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Recharge [mm/day]\")\n", - "plt.xticks(rotation=30, ha='right')\n", - "plt.legend(loc=2);" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "id": "202e6208-00a1-4520-9852-08e99a93e772", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "total_126 = timeseries126.sum() * 1000 \n", - "total_245 = timeseries245.sum() * 1000 \n", - "total_585 = timeseries585.sum() * 1000 \n", - "\n", - "categories = [\"SSP1-2.6\", \"SSP2-4.5\", \"SSP5-8.5\"]\n", - "totals = [total_126, total_245, total_585]\n", - "colors = [\"green\", \"darkblue\", \"orange\"]\n", - "\n", - "for i in range(len(totals)):\n", - " plt.bar(categories[i], totals[i], color=colors[i])\n", - "\n", - "plt.title(\"Total Groundwater Recharge CMIP6 (2050)\")\n", - "plt.ylabel(\"Total Groundwater Recharge [mm]\")\n", - "plt.grid()" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [ - { - "ename": "_InactiveRpcError", - "evalue": "<_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.UNAVAILABLE\n\tdetails = \"failed to connect to all addresses; last error: UNKNOWN: ipv4:192.168.0.108:47375: Failed to connect to remote host: Connection refused\"\n\tdebug_error_string = \"UNKNOWN:Error received from peer {grpc_message:\"failed to connect to all addresses; last error: UNKNOWN: ipv4:192.168.0.108:47375: Failed to connect to remote host: Connection refused\", grpc_status:14, created_time:\"2025-01-08T11:31:01.031595807+01:00\"}\"\n>", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31m_InactiveRpcError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[47], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mpcrglob126\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfinalize\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2\u001b[0m pcrglob245\u001b[38;5;241m.\u001b[39mfinalize()\n\u001b[1;32m 3\u001b[0m pcrglob585\u001b[38;5;241m.\u001b[39mfinalize()\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/base/model.py:177\u001b[0m, in \u001b[0;36meWaterCycleModel.finalize\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 172\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfinalize\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 173\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Perform tear-down tasks for the model.\u001b[39;00m\n\u001b[1;32m 174\u001b[0m \n\u001b[1;32m 175\u001b[0m \u001b[38;5;124;03m After finalization, the model should not be used anymore.\u001b[39;00m\n\u001b[1;32m 176\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 177\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_bmi\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfinalize\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 178\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_bmi\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_optionaldest.py:58\u001b[0m, in \u001b[0;36mOptionalDestBmi.finalize\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 57\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfinalize\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m---> 58\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfinalize\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_memoized.py:66\u001b[0m, in \u001b[0;36mMemoizedBmi.finalize\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 65\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfinalize\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m---> 66\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfinalize\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/container.py:330\u001b[0m, in \u001b[0;36mBmiProxy.finalize\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 329\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfinalize\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 330\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfinalize\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_grpc_client.py:119\u001b[0m, in \u001b[0;36mBmiClient.finalize\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 117\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstub\u001b[38;5;241m.\u001b[39mfinalize(bmi_pb2\u001b[38;5;241m.\u001b[39mEmpty())\n\u001b[1;32m 118\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m grpc\u001b[38;5;241m.\u001b[39mRpcError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m--> 119\u001b[0m \u001b[43mhandle_error\u001b[49m\u001b[43m(\u001b[49m\u001b[43me\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_grpc_client.py:117\u001b[0m, in \u001b[0;36mBmiClient.finalize\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 115\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfinalize\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 116\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 117\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstub\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfinalize\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbmi_pb2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mEmpty\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 118\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m grpc\u001b[38;5;241m.\u001b[39mRpcError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 119\u001b[0m handle_error(e)\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc/_channel.py:1176\u001b[0m, in \u001b[0;36m_UnaryUnaryMultiCallable.__call__\u001b[0;34m(self, request, timeout, metadata, credentials, wait_for_ready, compression)\u001b[0m\n\u001b[1;32m 1161\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\n\u001b[1;32m 1162\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 1163\u001b[0m request: Any,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1168\u001b[0m compression: Optional[grpc\u001b[38;5;241m.\u001b[39mCompression] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 1169\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[1;32m 1170\u001b[0m (\n\u001b[1;32m 1171\u001b[0m state,\n\u001b[1;32m 1172\u001b[0m call,\n\u001b[1;32m 1173\u001b[0m ) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_blocking(\n\u001b[1;32m 1174\u001b[0m request, timeout, metadata, credentials, wait_for_ready, compression\n\u001b[1;32m 1175\u001b[0m )\n\u001b[0;32m-> 1176\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_end_unary_response_blocking\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstate\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcall\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc/_channel.py:1005\u001b[0m, in \u001b[0;36m_end_unary_response_blocking\u001b[0;34m(state, call, with_call, deadline)\u001b[0m\n\u001b[1;32m 1003\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m state\u001b[38;5;241m.\u001b[39mresponse\n\u001b[1;32m 1004\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1005\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m _InactiveRpcError(state)\n", - "\u001b[0;31m_InactiveRpcError\u001b[0m: <_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.UNAVAILABLE\n\tdetails = \"failed to connect to all addresses; last error: UNKNOWN: ipv4:192.168.0.108:47375: Failed to connect to remote host: Connection refused\"\n\tdebug_error_string = \"UNKNOWN:Error received from peer {grpc_message:\"failed to connect to all addresses; last error: UNKNOWN: ipv4:192.168.0.108:47375: Failed to connect to remote host: Connection refused\", grpc_status:14, created_time:\"2025-01-08T11:31:01.031595807+01:00\"}\"\n>" - ] - } - ], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4e8ca028-958c-42b4-9d2f-c01f7f1096b9", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_20752100_approx.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_20752100_approx.ipynb deleted file mode 100644 index 53e8952..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_20752100_approx.ipynb +++ /dev/null @@ -1,615 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Approximation groundwater recharge in 2075 to 2100\n", - "Evaporation in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model: SSP1-2.6\n", - "Location of the groundwater recharge: Gila river near Yuma." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126_75/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")\n", - "#print(pcrglob)" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Years for which PCR-GlobWB needs to simulate the approximation; 2025, 2050, 2075 and 2100." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " start_time=\"2075-01-31T00:00:00Z\",\n", - " end_time=\"2100-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ").resample(\"A\").mean()\n", - "\n", - "recharge126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ").resample(\"A\").mean()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " precipitation_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"precipitation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " landsurface_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " evaporation_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"total_evaporation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " recharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = precipitation_at_station126[0] + landsurface_at_station126[0] - evaporation_at_station126[0] \n", - " recharge126[\"PCRGlobWB: Sonoran Desert\"][time126] = recharge_at_station126[0]\n", - "\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp" - ] - }, - { - "cell_type": "markdown", - "id": "d145747f-bd55-4111-8932-c6f962548d04", - "metadata": {}, - "source": [ - "Comparing the approximation with the groundwater recharge that is simulated with PCR-GlobWB." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "64a62425-8a58-455e-a6fd-5c1efef91d90", - "metadata": {}, - "outputs": [], - "source": [ - "plt.plot(recharge126*1000, label=\"PCR-GlobWB Recharge\", color=\"darkblue\")\n", - "plt.plot(timeseries126*1000, label=\"Approximated Recharge\", color=\"orange\")\n", - "plt.title(\"PCR-GlobWB vs approximated groundwater recharge (SSP1-2.6)\")\n", - "plt.ylabel(\"Groundwater recharge [mm/day]\")\n", - "plt.xlabel(\"Time\")\n", - "plt.xticks(rotation=30, ha='right')\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP4-6.0\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245_75/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " end_time=\"2075-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")\n", - "recharge245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ") " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - " \n", - " precipitation_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"precipitation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " landsurface_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " evaporation_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"total_evaporation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " recharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = precipitation_at_station245[0] + landsurface_at_station245[0] - evaporation_at_station245[0] \n", - " recharge245[\"PCRGlobWB: Sonoran Desert\"][time245] = recharge_at_station245[0]\n", - " \n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp" - ] - }, - { - "cell_type": "markdown", - "id": "bf0cbc1c-3cb8-43ae-89b7-387e2b76e8a8", - "metadata": {}, - "source": [ - "Comparing the approximation with the groundwater recharge that is simulated with PCR-GlobWB." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f13419b8-1fae-40a1-aa2d-ae2f525c344b", - "metadata": {}, - "outputs": [], - "source": [ - "plt.plot(recharge245*1000, label=\"PCR-GlobWB Recharge\", color=\"darkblue\")\n", - "plt.plot(timeseries245*1000, label=\"Approximated Recharge\", color=\"orange\")\n", - "plt.title(\"PCR-GlobWB vs approximated groundwater recharge (SSP2-4.5)\")\n", - "plt.ylabel(\"Groundwater recharge [mm/day]\")\n", - "plt.xlabel(\"Time\")\n", - "plt.xticks(rotation=30, ha='right')\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585_75/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " end_time=\"2075-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")\n", - "\n", - "recharge585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " precipitation_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"precipitation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " landsurface_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " evaporation_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"total_evaporation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " recharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = precipitation_at_station585[0] + landsurface_at_station585[0] - evaporation_at_station585[0] \n", - " recharge585[\"PCRGlobWB: Sonoran Desert\"][time585] = recharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "6f3a0e25-cc9f-4666-8e84-a37259a9770e", - "metadata": {}, - "source": [ - "Comparing the approximation with the groundwater recharge that is simulated with PCR-GlobWB." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d749568c-d2cb-4251-b635-412d2aa507f8", - "metadata": {}, - "outputs": [], - "source": [ - "plt.plot(recharge585*1000, label=\"PCR-GlobWB Recharge\", color=\"darkblue\")\n", - "plt.plot(timeseries585*1000, label=\"Approximated Recharge\", color=\"orange\")\n", - "plt.title(\"PCR-GlobWB vs approximated groundwater recharge (SSP2-4.5)\")\n", - "plt.ylabel(\"Groundwater recharge [mm/day]\")\n", - "plt.xlabel(\"Time\")\n", - "plt.xticks(rotation=30, ha='right')\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [], - "source": [ - "plt.plot(timeseries126*1000, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245*1000, label=\"SSP2-4.5\", color=\"darkblue\")\n", - "plt.plot(timeseries585*1000, label=\"SSP5-8.5\", color=\"orange\")\n", - "\n", - "plt.title(\"Approximation Groundwater Recharge (2075)\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Groundwater Recharge [mm/day]\")\n", - "plt.xticks(rotation=30, ha='right')\n", - "plt.legend(loc=2);" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "939e4944-a557-43b4-ac18-0d85f234cd52", - "metadata": {}, - "outputs": [], - "source": [ - "total_126 = timeseries126.sum() * 1000 \n", - "total_245 = timeseries245.sum() * 1000 \n", - "total_585 = timeseries585.sum() * 1000 \n", - "\n", - "categories = [\"SSP1-2.6\", \"SSP2-4.5\", \"SSP5-8.5\"]\n", - "totals = [total_126, total_245, total_585]\n", - "colors = [\"green\", \"darkblue\", \"orange\"]\n", - "\n", - "for i in range(len(totals)):\n", - " plt.bar(categories[i], totals[i], color=colors[i])\n", - "\n", - "plt.title(\"Total Groundwater Recharge Approximation (2075)\")\n", - "plt.ylabel(\"Total Groundwater Recharge [mm]\")\n", - "plt.grid()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b88d737e-7911-4bc4-ad57-7e6c4631e2a7", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2075_rech.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2075_rech.ipynb deleted file mode 100644 index efbbac4..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2075_rech.ipynb +++ /dev/null @@ -1,790 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Groundwater recharge in 2075\n", - "Groundwater recharge in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model\n", - "Location of the groundwater recharge: Gila river near Yuma & ..." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126_75/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Starting and initializing the model" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_110347/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_110347')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " end_time=\"2075-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "markdown", - "id": "1d5efb10-0814-4b11-9161-3c77d4675bc3", - "metadata": {}, - "source": [ - "Running the model" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = discharge_at_station126[0]\n", - "\n", - " # Show progress\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "e0038bd6-03eb-4ddd-9719-815fe5b005e3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "timeseries126.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "b247d9a7-00d8-4d1b-8b2a-62a3f61ccde7", - "metadata": {}, - "source": [ - "### Results\n", - "Graph of the groundwater recharge in 2025" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "e32dc1d3-b768-4dd3-8919-67af82b627bd", - "metadata": {}, - "outputs": [], - "source": [ - "da126 = pcrglob126.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "916657b4-b345-42fe-9ac5-3762ac86c595", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb0AAAHsCAYAAABG/HMWAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAABJ0AAASdAHeZh94AADMGklEQVR4nOydd1xT1xfAv0nYSzYIuBBxAIpb3HvWXVfdu87aoZ0/tVs7ta12uK1FrbvWVcG9cFtBceNABAEVEVnh/f5AUhM2JITA/fq5H8x7d5yXvOS8e88958gkSZIQCAQCgaAcINe3AAKBQCAQlBRC6QkEAoGg3CCUnkAgEAjKDULpCQQCgaDcIJSeQCAQCMoNQukJBAKBoNwglJ5AIBAIyg1C6QkEAoGg3CCUnkAgEAjKDULpCQQCgaDcIJSeQCAQCMoNQukJBAKBoNxQ6pSeUqlkyZIltGnTBnt7e4yNjXF2dqZu3bqMGzeOv/76S98iGjwRERHIZDK1Ym5ujrOzM82aNWPq1KkcPnxY32JqhZUrVyKTyVi5cmWh2xblXnz8+DGzZ8/G398fKysrTE1NcXd3p1mzZrz99tucO3dOrf7cuXNz/Cy8vb2ZMmUK9+7dU6t/7949Pv/8cwYMGICXlxdyuRyZTMb169cLfX0AR48eZdasWTRu3BgnJydMTU2pVq0a48aNK3KfiYmJfPrpp9SrVw8rKyusra3x8fFhwoQJpKWlFalPgUBbGOlbgJdRKpW88sor7N69G1tbW3r06IGHhwfx8fHcuHGDwMBAwsPD6dWrl75FLRNUqFCBGTNmAJCenk58fDwXLlzg559/ZtGiRXTu3JnVq1fj4uKiX0H1QFHuxfv379OiRQsiIiLw9PRk6NCh2NvbExkZSXh4OAsWLMDc3Jz69etnG69Nmza0bdsWgNjYWP755x8WL17Mn3/+yYkTJ6hevToAp0+f5qOPPkImk1GtWjUqVKjA48ePi3yd/fv35+HDhzRv3pyhQ4diZGTE8ePHWbZsGevWrWPv3r0EBAQUuL+IiAg6derE9evXadWqFZMmTUKSJCIiIti4cSPfffcdxsbGRZZXICg2Uini999/lwCpXr160uPHj7Odf/bsmbRv3z49SFa2uHXrlgRIVapUyfH8jRs3pLZt20qA5O/vLz1//rxkBdQiK1askABpxYoVhWpXlHtx7NixEiCNGTNGysjIyNbm/v370pkzZ9SOzZkzRwKkOXPmqB1PTU2VOnToIAHSqFGjVMfv3r0rHTp0SHry5IkkSZLUpk0bCZCuXbtWqOvLYt68eVJkZGS2459//rkESL6+vgXuKzU1VfL395eMjY2lbdu2ZTufnp6e4/siEJQkpUrpTZo0SQKk77//vlDtkpOTpS+//FLy8/OTzM3NJWtra6lly5bS+vXrs9XN+sEfOXKkdOvWLWnQoEGSg4ODZGpqKjVs2FDavn27Vse4cuWKNHDgQMnJyUmSyWTS/v37JUmSpNOnT0vTp0+X6tatK9nZ2UmmpqaSl5eX9NZbb0nx8fHZ+nz5x3vfvn1SmzZtJCsrK8na2lrq3r27dOnSpQK/X/kpPUnK/FGvVatWrp/H3bt3pSlTpkjVqlWTTExMJHt7e6lnz57SyZMns9VNSEiQPvnkE8nHx0eytraWrKysJE9PT2ngwIHS6dOns9U/ceKE1L9/f8nFxUUyNjaWPDw8pAkTJuT445z1o5+SkiJ9/PHHkre3t2RiYiKNHDlSdS6ncuvWrTzfo6Lci7Vr15YA6dy5cwVuk5vSkyRJWr9+vQRIderUybV9cZVebqSnp0vm5uYSIMXGxhaozbJlyyRAeuedd7Qqi0CgTUrV8qaDgwMAV69eLXCb1NRUunTpwsGDB6lVqxZTpkwhKSmJjRs3MmjQIM6fP88XX3yRrd3t27dp0qQJnp6eDB8+nPj4eNavX0/v3r0JCgqiXbt2xR7jxo0bNG3aFG9vb4YOHcrz58+xsbEBYMmSJWzZsoU2bdrQsWNHlEolZ8+e5bvvvmPXrl2EhIRgbW2drc+///6bbdu20a1bN15//XUuXbrEzp07OXXqFJcuXcLR0bHA711eWFhY8M477zBu3Dj++OMP1TIowNmzZ+ncuTPx8fF06dKFfv36ERsby9atW2nZsiVbtmyhe/fuAEiSRNeuXTl27BgBAQGMGzcOIyMj7t69y4EDB2jVqhUNGzZU9b1ixQrGjx+PqakpvXr1olKlSly7do2lS5eyfft2Tpw4QeXKlbPJ279/f06dOkW3bt3o06cPzs7OtG3bFltbW7Zt20bv3r3x9/dX1be1tc3z+otyL77c5uWxior0Ir+zTCYrdl+FRSaTYWSU+fOgUCgK1CYwMBCAUaNGERERwa5du3j8+DGVK1ema9euqvdHINAr+ta6L3P27FnJ2NhYkslk0rBhw6RNmzZJERERebb54osvJEDq1q2blJaWpjoeHR0tValSRQKko0ePqo5nzXIAae7cuWp97d69W9WXtsZ4//33c5Q7IiJCSk9Pz3Z86dKlEiDNmzdP7XjWTE+hUEhBQUFq59577z0JkObPn5/b26RGQWZ6kiRJ169fV42Zdd1paWlS9erVJVNTU+nAgQNq9SMjIyU3NzfJ1dVVSk5OliRJkv79918JkPr06ZOtf6VSqTarvXLlimRsbCxVr15dunfvnlrd4OBgSS6XZ+sna6bj5+cnPXz4MNsYRV3eLMq9+OOPP0qAZG1tLc2cOVPau3dvvrOk3GZ6aWlpUvv27VXLpbmhq5neunXrJEBq1qxZgdvY2NhIZmZm0tdffy0ZGRmpzawtLS2lZcuWaVVGgaAolCqlJ0mZSzqurq5qXxh7e3upT58+0l9//ZWtvpeXlySTyaTLly9nO5elQEaPHq069vIPfk5Kp3LlypKDg4NWxnBxcVH9+BeUjIwMycbGRmrXrp3a8awf76FDh2Zrc/PmTQmQ+vfvX6AxCqr0nj9/rvoMoqOjJUmSpK1bt+a5hLVgwQIJkHbs2CFJ0n9Kb8iQIfnKNWPGDAmQ/v777xzP9+nTR1IoFFJCQoLqWNaP/tatW3NsU1SlJ0mFvxczMjKk999/XzIzM1NrU7VqVWncuHHS+fPns7XJUnpt2rSR5syZI82ZM0eaOnWqVKNGDQmQHB0dpRs3buQqoy6U3s2bNyUnJyfJyMhI7WEuL5KTk1UPSIA0c+ZM6fbt21JcXJy0fPlyycrKSpLJZFJwcLDW5BQIikKpWt4EGDhwIH379mX//v0cOXKEc+fOceTIEbZu3crWrVsZMWKEahv606dPuX79Ou7u7tSqVStbX+3btwfItk0cwN/fP8dlm0qVKnH8+HHV6+KMUa9ePUxNTXO8zrS0NH799VfWrVvHpUuXePLkCRkZGarzkZGRObZr1KhRjjIDPHr0KMc2RUV6sbwG/y2xZb03t2/fZu7cudnaXLt2DYDLly/TvXt36tSpg7+/P2vXruX27dv07t2bli1b0qhRI0xMTNTaZvV98OBBTp06la3vmJgYlEolV69eVVsSBWjSpEnRLzQXCnMvQuZ79MUXXzBr1iz27NnDiRMnOHv2LCEhISxdupQVK1bw888/M378+GxjHTx4kIMHDwJgYmJCpUqVeP311/nggw9Un29RWLlyJREREWrH2rZtq9opqklMTAzdunXj4cOHLFq0iObNmxdoHKVSqfrbv39/vvrqK9W50aNHk5iYyPTp05k/f77qOyMQ6AV9a92CkJ6eLq1fv16ytLSUAGnLli2SJGVupgCkRo0a5dgua6ZStWpV1bGXN5nkRNaTcxbFGWPEiBG5XlPfvn0lQPL09JRGjRolvffee6on/QoVKmSbheU3Y+HFbKEgFGd5c9y4cbluDnm5vLx0HB8fL82YMUPy8PBQnbe2tpamTp0qPX36VFXPy8urQH2/vKya9XnltiuwODO9nMjtXsyLxMRE6aOPPpIAydTUVHrw4IHqXF4bWQpCfjO9nDbz5DZWdHS05OPjIwHSwoULCy2LiYmJBEhr1qzJdi7re2Rra1vofgUCbVLqnNNzQqFQMHDgQN58800A9u3bB2T6mQE8ePAgx3ZRUVFq9YpCccbIbQPC6dOn2bJlCx07diQ8PJwVK1bw5ZdfMnfuXGbPnk1qamqR5dUm+/fvB6Bhw4aqTQ1Z17lt2zakzOXxHMucOXNU/djZ2fH9999z9+5d1aaUWrVq8dNPPzFp0iRVvay+nzx5kmffbdq0ySZrSW32yO1ezAtLS0s+/fRTWrZsSUpKCkePHtW1mCoOHDiQ7f3LaYYeFRVF27ZtuXTpEosWLWL69OmFHqtmzZpAzpuE7OzsAHj+/Hmh+xUItIlBKL0ssnYzSi+W3aytralevTqRkZGqZbWXyfrRbtCgQbHG1PYYWZEuevXqlc1R9+TJk6XihyEpKYlvv/0WgKFDh6qON2vWDKDIEVu8vLwYO3YsBw8exMrKim3btmmt75zIWsLOWn7TFpr3oq7alAT37t2jTZs2hIeH88svvzB58uQi9dOhQwcAQkNDs53LOla1atUiyykQaINSpfTWrl3L3r171WxbWTx48IAlS5YA0Lp1a9XxMWPGIEkSM2fOVPthi42N5dNPP1XVKQ7aHiPri3/gwAG14zExMUyZMqVYsmqDW7du0aNHD8LDw6lfvz4TJ05UnevduzfVq1dn0aJF7Ny5M8f2x48fJykpSdVXWFhYtjqPHj0iJSUFc3Nz1bGpU6dibGzMm2++maOrQGpqaqEVYtY2+Tt37hSqXVHuxa+//jrHawU4cuQI+/fvx8jIqFARTnTNnTt3aNOmDTdu3GDZsmVMmDAh3zZRUVGEh4fz5MkTteMTJ07EyMiI77//Xi18WnJyMh9++CEAgwcP1u4FCASFpFRtZAkJCWHhwoW4urrSsmVLqlWrBmT+cO7YsYPnz5/Tu3dvXn31VVWbd955h127drFt2zbq1atH9+7dSUpKYsOGDcTExDBr1ixatmxZLLm0PUbjxo1p0aIFmzdvpnnz5rRs2ZLo6Gh27dpFzZo1cXNzK5a8BeXx48eqpa709HQePXrEhQsXOH78OBkZGXTt2pVVq1apbcYxNjZm8+bNdOnShR49etC8eXP8/f2xsLDg7t27nDp1ips3bxIVFYWFhQUXLlygb9++NGzYEF9fX9zc3Hj48CHbtm0jLS2Nd999V9V3rVq1WL58OWPGjMHHx4euXbvi7e1NWload+7c4fDhwzg5OREeHl7gawwICMDCwoIFCxYQHx+vCqk2bdq0PJe9i3Iv/vHHH8yaNYtatWrRrFkzKlasyLNnzwgLC2Pfvn1IksS3335b7M931KhRqv9nvRfvvvuuaiY5bty4At+Pbdq0ISIigoYNG+a6OWnUqFFqM7T333+fVatWsWLFCjVZatWqxfz583n77bepV68effr0wdLSkj179nD16lWaNm2q9nkLBHqh5MyH+XPnzh3pp59+kvr06SN5e3tL1tbWkrGxseTq6ip169ZN+v333yWlUpmt3fPnz6XPP/9c8vHxkczMzCQrKyupRYsWUmBgYLa6hd3IoosxJEmS4uLipEmTJklVqlSRTE1NJU9PT+n999+Xnj17JlWpUqVENrK8XExNTSUnJyepadOm0tSpU6XDhw/n2Ud0dLT07rvvSj4+PpK5ublkaWkpeXl5Sf3795d+//131caXu3fvSu+//77UvHlzycXFRTIxMZHc3d2lrl27Sjt37syx73///VcaOXKkVLlyZcnExESys7OTfHx8pAkTJmTb8p7b5/Uyu3btkpo1a6bafAL5R2Qpyr149uxZ6dNPP5XatWsnVa1aVTIzM1N9tq+99lqO72lRNrJofnaapTCbdvLrC1BFEcpi5MiReY7z999/S+3atZNsbGwkU1NTqXbt2tInn3wiJSUlFVgugUBXyCSplBkYBAKBQCDQEaXKpicQCAQCgS4RSk8gEAgE5Qah9AQCgUBQbhBKTyAQCATlBqH0BAKBQFBuEEpPIBAIBOUGofQEAoFAUG4odESW+/fvaz2FjUAgEGgDOzu7EotolIUufxP1cT1lnUIpvfv371PNuwapz5J0JY9AIBAUGWtra8LDw0tMUdy/fx/3yp6gTNFJ/yV9PeWBQim9R48ekfosiQHffIl9JXcANMPxFmW9NL8+sof8LRz5yVSQayioDJH/hrLnq+9RpqXhGdCUJkMHY+3kUMDW+kXb73tB+tT2+vrjZPWsFUmp2W9xR0v1HygjhbpUmjKlZagfiU9ST35754F6BofQrUfUO9BIljt6ev1sMkUlmqm93r1EvY/Rb2ZPHqyGZmYlPcRZ0vb3tLD9PbobycZ33ufRo0clpiQePXoEyhSMfYcgM7fXat/S83iehq4t0espDxQp4LR9JXecqnsCQulpsn3OZyiMjRiy6HsqN/AvYKvSQVlQenINhWSSkoPSs05We21slLfSS1WqH5ESTdVexynS1dtbamSIMFNXaFnfnZdJfmKu9lpupZ7GKqc2LyOTqWs5SSqZ/IIvo2+lp09kFg7ILZ212mdGCeWILG+IjSxaJu72XSpUrEil+vX0LYpAIBAINBBKT8vU6dSehzdusuer70pdslCBQKAjZDKQy7VbxExPJxRpeVMuA0XWcooWllEKu6yh6+XPnPor6BJpp5kzuHLgEGc3bKFB/z44e1UvpnT6oyjvc0kvZ2riYJGq9traND1bnfxsePnVd7LS2LRQSX2585RHZbXXQ0bXVXudlqG+vApQqcJztdd2jf3VXmsusZoo8v40lBrfS4Ws+A9g2l5uFE/cAn1QqpLIlgVOBf5JcsJTbFycqVCxor7FEQgEJYFMpv2ZmZjp6QSh9LRM7K0IAIYtWYSppYV+hREIBCWDUHoGg1hh0DJGpplLXWbWVnqWRCAQCASaFHumZ6ZQ91FK0fBpKsrW6eLa7IqryQvispDbGBa2FQCIuxlBpXp+ubY3BIriSpLfdZb0+6BpjysI+bXQ7NPVRt1G16KHug2vooa9riD357DedmqvNV0SNNH8nmnW17wmTRufpg0Q8pdT1y4GBuXCIJNnFm33KdA64l3VMlWbNgZg+8efi92bAoFAUMoQSk/LVGvSCO92rYm/c0+EaxMIygsyMre1a7MIk55OEEpPyyjT0rhx5DgAJhbm+dQWCAQCQUlSJJtehvSfDSBNqVA7pwstWti1/cL6+WlDhqzzcmNjXGp4cf/SZR7fj8LOw70Io+mH0maP0wba+KzzRcM+FlDjeS4VC46pRmi0woYZ07TZ5Xf/FsSPT5HPebmOQ58VJzygzhG7Nw0G4bKgZdJTUshQZm7uSUvWTeR1gUBQyhAbWQwG8a5qmf2Lf+PBlasvorHkHSRYIBAIBCWLmOlpmUtB+7GvXImus97UtygCgaCkEMubBkPRbHrody29NPjv5DRFliSJp9Ex1GrXBhSK0mNvEBg8+fnhaZLfd0TTL8+4ADa9/PrQ9rJRScdtFZQPxExPizyOvA+ATC6e0ASCckWWm4G2+xRoHfHwpEVO/LEOAO82rfQsiUAgEAhyQsz0tIipVWa8TUfPqvoVRCAQlDAyHey2FDM9XaB1pacNO1Zhb53SYOMDSEvK9M9KT0nNp6ZAV+giB2Bh22uiC9tUTrEyX0bTQleUOKrZ+szHhqfr712ptpGLjSwGg5jpaQFJkji+6g9Ord+Ii7cX7j619S2SQCAQCHJAKD0tcOi35RxesgKn6p4MXvgNciOj0v1UKhAItItwTjcYhNIrJs8TEji26g+cvaozculiTK0s9S2SQCAQCHJB548Sco1SEmiOqUsZji5fjTI1labDh2BsZal3H0ZDI7/PKr/PrrDni3I/KGSSWlFmyNRKYa8xI4eSlKZQK3FJJmolP1LSFWrlcbKxWklKNVIrmuNLkizfkpPcLxdNTOQZakXzfdR8X/IbX7N9QeKFlhjazrBQDBeIxMREZsyYgZubG2ZmZvj7+7Nu3boCtY2JiWHUqFE4OjpiYWFBQEAAwcHBOdYNCgoiICAACwsLHB0dGTVqFDExMTnWDQ0NZcCAATg5OWFqakrVqlWZPHlyka6vuIj5czGICr9CSOCfuPnUxqdrJ32LIxAI9IWM/zazaK0UTZR+/fqxatUq5syZw65du2jcuDFDhgwhMDAwz3YpKSl06NCB4OBgFi5cyLZt23BxcaFr164cPHhQre7Bgwfp1q0bLi4ubNu2jYULFxIUFESHDh1ISVGPObx//36aNGlCQkICv/zyC//88w+ffvopZmZmRbvAYiKWN4tI0uPH/P3JPGQyGT0+ehe5Ir8Y9AKBQKBbdu7cyd69ewkMDGTIkCEAtGvXjtu3bzNz5kwGDRqEIpffqmXLlhEaGsqxY8cICAhQta1Xrx6zZs0iJCREVXfmzJl4e3uzceNGjIwy1Ui1atVo0aIFy5cvZ9KkSQAkJSUxdOhQ2rdvz/bt25G9tCN1+PDhOnkP8kPM9ArIlQOH+Wvu5/z59vusHDOJhd37EX31Gi3GjMClhpe+xRMIBHpF/t9mFm2VIvw8b9myBSsrKwYMGKB2fPTo0dy/f19NceXUtmbNmiqFB2BkZMSwYcM4efIkkZGRAERGRnLq1CmGDx+uUngAzZs3x9vbmy1btqiObdiwgaioKGbOnKmm8PRJqZzpFdavSdt+VZqkp6SwYeYHIEnI5HLMrK2p0sAf/949qN2xfSF7KxqlOpdYCVKUp7T0lBQuBx/gctB+Ym7cxLyCDR51fanRsgWV69fFyNQ0zzE0/dNMFBl5ns/v/s3pGixN0tVeGyvy/nQ1+zA3Uqq9NpKrt09TqrdIS1d/rZm/ryBoyqBpY8sv519+I2rGF83RZvtSHaPS8Zuqda5fv57tmJOTE87OztmOh4aGUrt2bTVlBFC3bl3V+ebNm+c4TmhoKK1aZY8mldU2LCwMd3d3QkND1Y5r1j169Kjq9aFDhwBQKpW0bNmSkydPYmlpSdeuXfn2229xc3PLURZdUiqVXmnDyNSU6gFNuXHsBF3eeYNGA/vrWyRBAblx4iQ7P/+KJ1EPkCsUOFSpTEJ0DKfWbeTUuo3I5HLcfGrT48N3RSooQdHRoXN6nz59sp2aM2cOc+fOzXY8Li4OT8/s97G9vb3qfG7ExcWp6uXVNutvbnVfHiNrdti/f38mTJjAp59+ytWrV/nwww9p06YNFy5cwMLCIleZdIFQegXklf+9x8JufTi26g+h9EopGUolT6IeEH/nLvF37vHw5i3ObvkLEwtz2k99Hf8+r2Bha4skSTy8cZOrh45yP+wyVw8e5q+5nzF29VJkcrHiLyhdbN26FS8vdROKk5NTrvXzWkbMb4mxMG1zq/vy8YyMzPn8oEGDmD9/PpBpJ3R1daVPnz4EBgYybty4PGXSNkLpFZB//94FQPXmzfQsieD5kwSir11/odwyFVzcnbs8jryPMi1Nra55hQoM/G4eler5qY7JZDKcvarj7FUdgL3f/UhI4Ho2vTcbhbERPl064t26ZYlek8DA0WGWBS8vL3x8fArUxMHBIcfZXHx8PJDz7KywbR0cHICcZ43x8fFqY2TV7dKli1q9Ll26IJPJOHv2bJ7XowtKXOkVxDal61iIRSFsTxDmFSrkmhxW13EIy6P9TpNrh49y6s9N3Dp5Bkn5nw1LrlBg6+6GZ7PG2FeqhH3lSthXqYR9JQ9snJ2yzd4038sWY4ZzKXg/4fsOABD2TzC9P/4Iv+5dyIn84l7mR06fZUqa+lfRxkRdeadkqF9Dfve4sVzdHqaQq9v8ktPUd/DlJFN+tkjNNhn5vC+a7TVz+Ck1zhfkns/I5f8ljkwHAaeLsFzq5+fH2rVrSU9PV7PrXbx4EQBfX98822bVexnNtll/L168SPfu3bPVfXmMunXr5ukjKNfDyoqY6RWQ9NQUlGmpPL4fhUOVyvoWp1whSRInfl9L8A+LkRsZUT2gKdWaNMKhSqaCs63oityo6Leyha0to5Yt5saxEFy8vdg46yP2fP091Zs3xcLWVnsXIhDomL59+7JkyRI2bdrEoEGDVMdXrVqFm5sbTZs2zbPt5MmTCQkJUdVLT09nzZo1NG3aVLXpxN3dnSZNmrBmzRreeecdlQvEiRMnuHLlCjNmzFDr88MPP2TXrl307dtXdXzXrl1IkkSzZiW/ciYMGAWk7eQJpKWksnrCVOLvRepbnHLFuS1/EfzDYpyqezJ1258MXvAVTV8biFeLAOwreRRL4WVRwdWVBv164+7rQ8cZU0l+msiBxUu0IL2gXKB1x/SibYzp1q0bnTp1YtKkSSxZsoT9+/czYcIEdu/ezVdffaVSUGPHjsXIyIjbt2+r2o4ZMwYfHx8GDBhAYGAgQUFBDBw4kCtXrqjscVnMnz+f8PBwBgwYQFBQEIGBgQwcOBBfX19Gjx6tqlerVi2mTJnCsmXLePvttwkKCmLx4sWMHTuW+vXrM3DgwCK+4UVHKL0CUqdje/p9PpdncfEcXrJC3+KUK6IuhwMw8NsvsXHJvk1b29Tp1J7KDfw5u3kb/3z7A08ePND5mAKBtti8eTPDhw9n9uzZdO3alZCQENauXcvQoUNVdZRKJUqlEkn6b4nZ1NSU4OBg2rVrx7Rp0+jZsydRUVHs2rWLNm3aqI3Rtm1bdu7cSVRUFD179mTatGm0a9eO4OBgTDVcgBYsWMAXX3zBX3/9Rffu3fnss88YPHgw+/btw8Qk/xB72kYmvXzV+RAWFoavry/j16/GqXrBtnfrQqvqIj9ZQfm5/2tkZGQwZYv6OrWwuRWNgnx2R5av5sDi3xj43TydbDDJ6X56FHmfTe9+xIPwq8gUCmq1bUXlBvWp16s7JubmxRovVZn9qlM0/OYUGjY5C2N1i1d+95subMyl/Qn54Y2b/DpoBKGhoQXe+FFcsn4TTbp/gtzWXat9ZzyOJHXn7BK9nvJAab+PSx3ONarz6F4kqc+f61uUckOdzh0wsTBn5+dfkxibu5+RNrFzd2Ps6qUM+eEbqjVuyOXgA+z5+nt2fvFNiYxfXpAkidSkJJ7GxhIXcYf7YZd5cOWa+H4JdIbYyFJIHKtVBUki/s49XGvW0Lc45QJ7D3e6fzCLrR99zB+TZzB08QKsHB10Pq5MLqd682ZUb96MxNg4Vo2bTOiuPZhaWdDxjSkY6ylgrqHxNDaWG0dPcON4CAnRMaQ8e0bKsyRSnyWRmpSElJHzPNTGxRmHKpVxqFrlxd/KOFatgrWzU6kJaaVCLs8s2u5ToHWE0iskqc+SAETevBLGt2snnj58SPDCxQROe4uxq5eiMDYusfGtHB0Y9stCts3+jDMbtnAr5DRtXh9H7fZtkBsZkZL4jJshp0h++pSqjRpg56HdpS5D5N7FUI6tWMPVQ0cyD8hkWDs6YGJpibWjA6ZVKmNiaYGppSWmlpaZ/7ewID01lbjbd4iLuMO9f0O5dfK0Wr+VG/jzykfvYl+5kh6uKhd0GJFFoF2E0isk8XfvgkxWIhsqBOoEDH+NlMRnHFm2imOr/qDVuFElOn4FV1eG/byQkD/Wc/DXZWz5YA47LMyx83AnNuIOytTUzIoyGfV6dqdy/Xq41qyBi3f5WhFIevyYHZ/N58qBwwB4t25J7U7tqR7QpNAuIFJGBgkxD1VKMDL0EmF79rJ81ARe/epzqjZqoIMrEJRliq309LFRRV/O688ePeLmiVNUrl8PmZGR2LyiB1qNG0XYP8GcXLuBgOFDsgWL1kQbTtcvn5crFASMeI26PbtxdtM2Ik6d4dG9SCr716VW+7ZY2ttxct0GLvy1gwt/7QCgZrvWtJ4wRpWNwyiHYNKaQaw1N7sU916TA4/uRXL10FESoqORMiTkCjnOXtXxbNaE1ORknkbH4FTdEwvbCgXqM6f36faZc2z93yc8jXlIzfZtaT1xjGrTW1G+dzK5nAquLlRwdaFq08Y0HNQfn26d2PL+bNZMegP/Pj1pM3k8lnZ2enZORwczPe12J8hEzPQKQXjwQZRpaTTo11vfopRbFMbGNBrQj73f/UDY3n3Ue6WbXuSwtLOj1bhROc42a7ZrTeTFMOJu3+HqwcNc2X+IK/sPUadTe1qNH42DZzWdyfU48j77f/oVO/eK+Pd+BftKHijT0zm64neOLF1JhlIz7ok6ChMT2k4aR8Dw1wo1bmJcPKcD13P897UYmZrSc+6H+PboqhPbW/XmzRi18jd2f/kN57f8RXjQPlpNHEulBv5aH0tQ9hBKrxA8vn8fADef2nqWxHC5c/a8KrNBUW1ydV/pStDCRVzZd1BvSi8vZDIZHnV98ajrS72e3Ym6HM7BX5dzae8+LgXtx6OeH9WaNqZa08a41alVbOf6jPR0rh85ztnNW7l57L98acdWrsG5RnVSEp/xJOoBTtU9aT91Ik7VPZHJ5WSkp3Pj2Ake3ryFsbk5Vg72nP9rB8ELF2Pt5IRv1075jv3s0SOCvvuRy3v3kZGejot3Dfp98TEOVSvrdOblWK0qQ3/9kctB+9i3YBF7v1mIrUfJp6n5j6wceFruU6B1hNIrBLIX0QyuHT5G49dKPpKAoXP9yHH+nDETALtKHnSYMZWarVsUejZgbmODa80a3L1wEUmSSt9OPg0q1q7F4AVfERkaxrFVf3Ar5BT3zv/L4V+XYWplRZXGDaj+QgnaebgX+HoSomM4v3U7F7b9zdOYh8gUCrzbtcanS0fMLCy4uOsf7pw9j8LYmNYTxtB81DCMNJyBNTOG1OnckaVDR7P1o4+5dfI03d59K9clZEmS2PDmu9wPvUTlhvVpPLA/Ndu01EqEnIIgk8mo06kDNVq14PiqPzi+8vcSGVdg2BTp7nw5p29hnWQL2v/LaNsRt6gyBwwfwpV9Bwla8BPP4uKo07kjDlUqYWRqmu2HStj71ElJfMbh35YhUyho+togzmzcwsa338PGxRkrRwcCRgyldoe2Be7PtaY3UZfCSYiNw9rJUXW8IPebvj4bd18fBnz9Bcr0dCIvhnEz5BS3Qk5x7eARru7PTLZp61YR71bNaT1xDOYVbFRtsxKypiUnE3HqDOe2bOfakWNIGRnYuDjT5vVx+Pd+Re29KEpGEBtnJ4b9/APbP/mCC3/t4M7Z81RpWB8X7xrU6dQeS3s7Vd3bJ09zP/QS9fv2oseHs/Ltu7i/FbkFqzc2M6P1xLF41PNj3dS38pVDJ+gwy4JAu4iZXiEwt7Fh0IKv+GPKmxxb9QfHVv0BgNzICDNrK8ysrXCoUoUmQwZQuXHDUj8DKSke3Ytkw1vvEnszguajh9N2ykSaDB3I0WWruXfhIrG3Itj07kdUbuCv2q1nZGxM7U7taTyoP5Z2dmr9KdPTib0VgcLEBEs7W/1cVDFQGBlRuX49KtevR9vXx/E8IYG7Z85y48Qpbp44xcn1m7gUfIDGg/rj260TCQ9iuHXqLBGnzhB5MSwzfZJMhleLABr270315s2QKxT5D1xAnL08GbPyNw4tWcG5LX9xftvfAOxf/Cud35pOvV49QJI4uuJ3ZAoFLUYP19rYxeFlhV/iCJcFg6FIYcgmvhSGTBczPU1KOuRSfjJnKJXcvXCR64ePkRgXR/LTRFKePSM54SkPb95CysjAt1sXen7yUblRfImxsVzcsYeHN24ik8sxMjXFyMSEtORkLv0TRGrSc9pPm0TT4UPU3hM58PRhLHu+XsD1o8cwMbfA2tmJpMePeRrzECNTE+p06oCzlycWtrY8jnrAlf2HiL56De/WLXn1u3lqchhq+C3FizQ7kiRxfvtOgn/8lWfxj9TqGJuZUblBPao2akjtTu2xrehaApJl2u1uhZwi+IefeRrzEI96fshkMu6e/5e6PbvTa84HObYriV3VL4/x8MZNlugrDFnf+cjtPLTad8aje6RueVeEIdMyYqZXBOQKBVUa+FMlh91ijyLvs3v+d4Tu2oNDtSq0GDOi5AUsYf79exf/fP29ynFfEzsPd/rN+xTPgJzTmlg7OfLqV5+pHctQKgnff5Djq/5QJfDNQv5idtFq/GjKGjKZjPq9euDbrQvXDh/jyoHD2Hm4UaVxQ9x96pSoQ34WlnZ2+HbtTPXmzdj7/U+E7QkCwK9HV7q9+3aJy1MqKSX59AT5o3Olp43g0PnOvIrQZ0H6N3v6lC4LF7Nn+iSSbGxyqaXeh527G/3nfcKKURM59MtS6vfqgZWjQ44ymiUk0PWHn9n9xmSSra2LLbe2Z9059Xfv31BuHs/cIShlZHA/9BK3Qk5h7eLMK7M/oFrTxsjkMtJTU0lPTkFubIylvV2hZ7xyhYI6HdtTu0M7nj6M5XHkfZIePaaCmyv2lSphamlRyKspOtq2Aeb0OWRLTGtkTI12bajRrk2ObYr7vdL0A9T0E8wJcxsbes35gO7vvY0kSYUOw1ZclSDs5AJtIGZ6uWD29Ckjp7yJx6VwKl65yvJF35Ocj+LLwsTCgjqdO3Dwl6U8eRCdY5xIs4QExkx5E/fLV6h49RorFn1fJMVXUmQolexbuJiTgeuznavTpSOd3nlDzfZmYqEdpSSTybBxdsLG2Ukr/QmKT34BAcolwqZnMAillwtdFi7G41JmHjf3y1cYM+XNQim+hOgYAGxcs4cre1nhAXhcCqfrwsVs/ehdLUmvPSRJ4vaZcxxavIR7/16kUv16tH9jskqpWTs7YWZlpWcpBQI9I9PB7k2h9HSCUHq5sGf6JCpeuapSTIVVfPaVM43aD2/cwtrxv11lmgoPILJ2TXZPn6TlKygekiRx/ehxji5fTeS/ocgUChoNepV20yZhbCae9AUCgWFSJKWXQcHX14viN6Xr3XIFsREm2diwfNH3agrqZcWXmo/iq9KgPpAZgcSzaWMgd4VXmBmkppx5Udj3UZIknj6M5faZc4SsWceDK1dRGBvj37cXASOHiswBWqIg8UDza1Pc74jmnu2cZJI07IxZO0wLSnGvqbDXrNf4JTIdRGTReoQXAYiZXp4k56H4VuajqFxr1sDEwpw75y4A2ld42uBpbCzXDh0l5toNYm7cJOb6DZITngKZdpvGQwbSbPgQrIU9TSAQlBGE0suH3BTfqHwUX8qzJJTpSmRyOWYJCYwqZQov4vRZ1r0xk/SUFABMLS1x8vLE2as6rjVrULNda8w1nMIFAkEuiI0sBoNQegWgMIpPkiT+/XsX+376BWVqKvVaNS8VCk/KyODizj3E3b6DMj2ds5u2okxLo/cn/6Nyg3rYuLiIUGoCgaDMo3Wlpws/vNJAqo0NKxd9r6bAclJ8/3yzkFPrN2Jha0vfmTP4YftO3MOvqvqJrF0z36XRnMgt7mB+dSBzGfOfrxdwOfiA6piNqwu9Pn0T7zYtAZBelJKmJHwLi0tJR/zRxZiaaE4ilBnZZxXF3YyYny+grq+xJMmc6Gl3ZiYmerpBzPQKQXI+ii8uXcmp9RvxqOvHyM/+x6R3/4d7+FVSgF+BXdZWPKvnRxMJdLX/MfnpU9JTUrFydODKgUOc3rCFiFNnkDIyqNWuDW1eHwsyGfaVPJDpIbqHQFAWEaubhoNQeoUkL8U3763pAHg3qJep8C5f4RHQETgL8DQR1m3kZthlRiz7GZlcO3Pc9JQUwvcd5Nzmbdy7cBEp479nZrmRETVaNqderx54t2mp9jRqyE/WAoFAUBSE0isEKc+SCPljHc8TEjjVrQtjkp7T9vYdbMhUfC0//ZKfgAZ/78I9No4koCeZCq/1kAEETJnI3u9+5OzmbUScPEO1Zo0LNO7Dm7dwcHfLFgnj+Mo1hASuJ/XZM9JTUjEyNcG7dQsiL14iMS6OKg3r0/eLj7FysNfyOyEQCF5GJpMh07JzenkJVl/SaF3plbTPnS7ISebYWxH8MfUtnr6ItAKw7cXfyi/aRNy5l/k6No6/gY+B00DLgf1p+fYbADQd8Rpnt/xFyB9r8WzaKNcbO+VZEibmZoQE/knQgp+wsLPFr1sXrJ2dcPOtjYm5BaG7/iEp/hGVG/jj3bolvq90w8K2AumpqSQ+jMXWPTOTdNZnUho/C13bywriE1fc/IvaoCSylbyMTMPnzliufYtufvE8y8JvhcDwEDO9AiBJEju//Ian0TF0e+8dPAOaEHvzFjE3bhIffpXUw8cgJQVz4Dkw/UU7BZkzvFZvTVdtErHzcMenS0fCdu/lr7mf03LMCByqVFYb6+jy1Rz4ZSn2ldyJf6FIZTIZITnEvXSoUpnhv/6ITCZT/YgYmZioFJ5AINA9uohCphmDXKAdhNIrANFXr3Pn7HmaDBlIw1f7AJnZFGq0apH5/3uRvNVnEOnAKeAwYAPc+vFbTF6k03n5ObrzzDdJTkjg4o7dXNyxmwpuFXH3rYO7Tx3uXw4nbPderBwceHz/AQAN+vehyztv8CTqAU8eRHPn3AXkCgWSJFG3R1exDCIQCAQFRCi9AnBm42YAarVvk+2cWUICg96fDWS+mQEvCkDk4t9Y6VM7m3uCeQUbBi/8httnznFx5x7u/RvKpX+CufRPMADVmzej7xdzQZK4FLSfak0aoTA2xr5yJewrV6Jak0Y6ulKBQFAUZDKZDlwWxMOsLiiS0pMkmSouX4aGKUChYRsoiD2kNK/lh+7+h3NbtlOpfj0q+ddVO5dTpJWXydrVmZMjuiSTUblRAyo3agBA6tOnRIVfxcTcDDefOqobvkHfXoBu3sfS6CdVGvzy9EFxc0YWPs6q5g9qdpue5pjZ26hT3NichmzjEy4LhoMh3VclTvAPi9n60SdYOTrQa84Hak9euYUW+27reiJr11Qdy4rVaZaQkOdYZtbWVGvcEHdfH/GEJxAIBDpCKL1cuHE8hOOrA/Go68vYNcvUMgzkpvBWLvqeRx7urFz0fZEUn0AgMEyylje1XQTaRyi9XDi2cg1yhYK+X8zNlg8vN4WXtYSZFatTKD6BQCAoXRRJ6WVIMpQZmUUhl9RKkfrTKLpGc7ycxq9Q0ZUMpRJlWrqqXUEUXhaFVXwFkUkTuUYpLtrur7RS0vdbfuMXpGh+NpqlsNeUniFTKzmhOYZMJqmVDAm1Up6RoYOZHmKmpwvK8m9bsbByypzdKVNTgcIpvCzEjE8gEAhKF0Lp5cLNYyGYWVthV8mjSAovC6H4BIJygOy/HZzaKmKipxuE0iMzCsrLQZrD9x/kwZWr1GzbGqvk5CIrvCyE4hMIyjZiI4vhUETndClb7L7cKIjvjlLD/6ck4xCe2bCZo8tX8ywuHjMbG4xMTXgaHYOFnS2t+vbSWgLY3BLRjnnhx5eq0Z82bE2G7PdUVEqj72FJUNjP1sJYWegxHiWZqL22MklXe52hYdMvrB9eebg/BfqnXN9nx1euYc/875DJZNRo1QLHalWwtLPFt3sXJvz4Le99/b1WM56LGZ9AUDaRyXVTBNqn3IYhi75yjQM/L8GpuifDlvyEuYYi6/PZfK0qvCxym/F1+eFntn30brH6FggEAkHelNtniSNLVyJlZNDrk/9lU3gAu9+YzL06tQDtKbwsNGd89+rUYs8bk7XSt0AgKHkyN59o26an76sqm5RLpZeRns71I8eo0rA+LjVr5Fgn2dqaFYu+51SfnlpVeKr+Xyi+U316smLR9yRbW2u1f4FAUHLI0P7uTaHzdEMRlzf/CzhtLFM3T2tuSikIxhqbXe4/NVN77WSVova6uJsTUp4loUxLUwstlhPJ1tZs1eGSY7KNTa79F2RDhtgYUHYpbuBtXQTutrNIVXv9LEX958PYKO9exP0oKA2US5ueMi0NALmRQs+SCASCsoBMJkOu5fVI4bKgG8rlw9floH0AuHjnvLQpEAgEgrJJuZrpSZLEhW07CP7+J6wcHfDp1lnfIgkEgjKASCJrOBRJ6Sklmcp2l6Zhw9OcOmomnszJqb0odsDCIkkSuz7/ivNbt2Pl5MiQRd9jYm6u83GLSnl0LC8KZfV9ye/z18f9oTmGtamGc7rGeXEPC0oj5Wamd2XfQc5v3Y5nQBN6fz43RzcFgUAgKAqqeJla7lOgfcqN0rv370UAOs98Uyg8gUCgVcTypuFQLlYc0lNTCQ8+gHmFCvm6KQgEAoGg7FLsmV66Ul1vmijy9tXRtPHlhKZfXmGRk6no7l+6zPUjx/l3x24SH8bSfvpkZHLD1PM5vavFvZLSGIy5JIONF3WM4r5v2kr4q0108b4mJBurvbYxS9PBKP+hz/tZLG8aDmVqeVOSJK4dOsq5TVuIOH1OlQC2QkVXWr8+jsavDdSzhAKBQCDQJ4Y57cmFYyt+Z+Pb73Ez5DRVGvjTdtJ4RixdxORtf9Jy3CgURmVKxwsEglKCTCZDJtdyKeJULzExkRkzZuDm5oaZmRn+/v6sW7euQG1jYmIYNWoUjo6OWFhYEBAQQHBwcI51g4KCCAgIwMLCAkdHR0aNGkVMTEye/QcFBansn7GxsYW+Nm1QZrRAwoNoji5bhUPVKgxdvAAbZyfVudK4jCcQCAS6oF+/fpw6dYp58+bh7e1NYGAgQ4YMISMjg9deey3XdikpKXTo0IHHjx+zcOFCnJ2dWbRoEV27diUoKIg2bdqo6h48eJBu3brRo0cPtm3bRkxMDO+++y4dOnTg9OnTmJqaZus/MTGR8ePH4+bmxv3793Vy7QWhSErPTKHE3CgzCWVSmnooL83IXtqYSsY/U09eaW+Zmq3Ohb92kJ6SQvs3JmPl7FTqFV1JJDstbGzO0vCelUaZCktpXD4pis9cYe2rmq+LkqjWYNGBTa8oEad37tzJ3r17VYoOoF27dty+fZuZM2cyaNAgFIqcwy8uW7aM0NBQjh07RkBAgKptvXr1mDVrFiEhIaq6M2fOxNvbm40bN2L0YgWtWrVqtGjRguXLlzNp0qRs/b/33nvY2dnRo0cPPvvss8JfnJYojd/PInHrxClMLC3wDGiqb1EEAkE5o7SkFtqyZQtWVlYMGDBA7fjo0aO5f/++muLKqW3NmjVVCg/AyMiIYcOGcfLkSSIjIwGIjIzk1KlTDB8+XKXwAJo3b463tzdbtmzJ1vfhw4f57bffWLp0aa5Kt6QoE0ovPSWFyLBLVGlQX9jtBAJBmeL69euEhYWpldxsZ6GhodSuXVtNGQHUrVtXdT43QkNDVfVyahsWFqbWR251Ncd4/vw5Y8eOZcaMGTRo0CDX8UuKMqEh0lNTkZRKLOzt9C2KQCAoh+jSZaFPnz7Zzs2ZM4e5c+dmOx4XF4enp2e24/b29qrzuREXF6eql1fbrL+51dUc43//+x9KpZKPP/4417FLkmIrPSO5eizNlHT1qaupUf7r+grNeJwavnw52fByIj0lhdPrN/EkKopWE8caVGxNbfRRJqbtGujjmgr7vhbWr08f16SLMfO7LqN8fHYFBWPr1q14eXmpHXNycsqldt6RXPLbEVqYtrnVffn4yZMnWbBgAbt378a8lPwel4mZnomFBeYVKhC2ey9hu/cCcH7Ldur26kH7NyaLJU+BQKBTdBmGzMvLCx8fnwK1cXBwyHE2Fx8fD+Q8OytsWwcHByDnWWN8fLzaGGPGjKFfv340atSIx48fA5CcnAxAQkICpqamWFtbF+TStEaZmBzIFQqajfhvK26zEa9h5ezEqbV/cnJNwfxTBAKBwNDx8/Pj8uXLpKerZ8C4eDEz9rCvr2+ebbPq5dU2629udV8eIywsjA0bNmBnZ6cq8+fPB6B69eq0atWqMJenFcqE0gNoMnQQrV8fx6iVv9F++mT6fpm5fvzs0SM9SyYQCMo6MrS9c1OGrAg+C3379iUxMZFNmzapHV+1ahVubm40bZr77va+ffsSHh6utsMzPT2dNWvW0LRpU9zc3ABwd3enSZMmrFmzBqXyP/PViRMnuHLlCv369VMd279/f7YycuRIIHPZdunSpYW+xuJS7HU/hYZNz0RW+HX8/OJxasbw0yQz3qeCRiPHvjiiJDE2c+p97dBRTK2siIu4TcXaNanVsR0VXF3V2hdE8+eX8y9Dwyyp+b6UBPm984X1uyoJi0xpiGOZH8V9XwtSv7DXURrz7Wn7szQki6BMBvJSEHuzW7dudOrUiUmTJpGQkICXlxdr165l9+7drFmzRuUuMHbsWFatWsWNGzeoUqUKkLkUuWjRIgYMGMC8efNwdnZm8eLFXLlyhaCgILVx5s+fT6dOnRgwYACTJ08mJiaG9957D19fX0aPHq2q17Zt22wyHjhwAIAWLVrg6OhY+IssJmVmpqdJJf96ADy6e4/Dvy7j0p4gghcs4rcBw0l++lTP0gkEAoFu2Lx5M8OHD2f27Nl07dqVkJAQ1q5dy9ChQ1V1lEolSqUSSfrv4dzU1JTg4GDatWvHtGnT6NmzJ1FRUezatUstGgtkKrOdO3cSFRVFz549mTZtGu3atSM4ODjHaCylCZn08lXnQ1hYGL6+vkxcvxqn6pnbYjVnQNl2YhYBzSe8gs30/sPMOPPDPLpsFYmxsXi3bU1acjKb3vkAgOZjRtDm9XGqjAtlZaZXXAzxSVvXGRFKitI40yvp966499/DGzdZMmgEoaGhBd74UVyyfhMrv7EEU5eqWu07JTqCOwvHl+j1lAfK7LZGmUxGy3GjVK8zlErMrK1IfprIseWrObZ8NR71/Kjbszv1enRFYZy3YhUIBAKB4VPs5U2ZTFIr2kCuUWzM0tSKJkZySa1IkkytQOYOz8E/fa/W7t6Fi+z8bD6/vTaam6cvkJYhIy1DhlLKXgSlA817IyOfoosxNYs2+ituH5rXnd/5kqCw15jfNZRmspzTtV0E2qfMzvRyws2nNpO3/UnonmAeXA7n6v6DAMTdiiDw9Sn4dOtCna6d8WzaGLme48MJBALDQZd+egLtUq6UHoCtuxsBo0YAEHf7NltmfUDcrQgAwnbtIWzXHirVr8egH77H2Kx0G2QFAoFAUDhK+6qBTnGoUoWBP3yHV6sWmFhaqo7fPXeBnZ99iZRhKNsgBAKBPpGhg+VNfV9UGaXYMz19xPTTtOsVZwefjYsL/b/9ioToGAInTiEhOhprJ0cu7dnLw+s3cKhaBfvKHtTr3QtbdzdVO037pVzcomWW0hA7Mz+0HR+0IH0U9n1RZmjs9DbAHc4Cw6c0fn/1go2LM90+eg9JqSThQTRuvnV4HHmf8OD9HFvxO0sHDydkzVoK4eEhEAjKCdrPpad9G6Egk3Jn08uLKo0a0uWDd9nzxXzMK1Qg7UVgVLlCQVpyMvsW/kTsrQgaDXoVpAwylEoylEps3d2wtHfQs/QCgUAgyA+h9DTw79OLI78uIfrqNQCG/fYTxuZmbJ71EU+iHvDvX3/z719/Z2vXcGB/Or09Q+XwLhAIyhEyHey2FBM9nVAqlV7MUzO1187WyWqvixu5Ib9Yn07Vq3H33L8AHFuxmgHff8XYtStZP/0dIv8NpUqjBlRt0gi5QoFMJuPqgcOc+XMTyrRUur0/02AVnyFs2ykJGQ3z08uborxvSanqPw+akY80X+c3ZvbvXdkxFegyiaxAu5TF73excaruiTItjdod23Hz+Ek2zfyAR3fv0WXWmwDcPn0Wu0ruBIwcSrMRrzFk8QKqNWvC+S3b+fvjL1CmZXegFwgEAoH+EUovB6o2aQSAlZMTtTq05frhY6wYPo7lw8aq6mz9YC7pqZkZ3Y3NTBnw7ZfUaNWCizt2s27a2zxPSNCL7AKBoOSRyWU6KQLtI5ReDlRv3gzX2jU5tW4DjYcMYOwfK6jbszvudX2xcXXJrCRJqvRFAEampvT/+nMaDuzP7dNnWTZkFPt+WMyTBw90JuezR4/I0EgWKRAIBILcKZU2vbux6iHAnDWyyevarpOBMa988jHLBw/l0K8rGPTTD7wy5wPV+cTYWCQJrJ3Uc0HJjYzoMutNHKtV4eiyVZxYHUjY7r10efdtarRqrlVb3+PI+/z66lBsXJwZvWYZZlZWWutbUPKUtC9gQeziFiZ5P1DlJ7Pma1MjpdprzZi2hvwEnuWcru0+BdrHkO8znSJXKFAYG5OekprtnJWjYzaF9zINB/Rj2s4tdJgxhacxD9n49nusHDWRWydOac3P7+GNmyjT0nh0L5K7Z89rpU+BQCAo65TKmZ6+eXI/inWTp5KemkrTkcOL1IdMLqfpsCF4BjTl/Na/ObNhM2unvkmlBv60GDOCak0aFW/m99Jj5Y3jIRiZmXF57z5SEp/R65OPRKokgaAEkctkyLU81dN2f4JMhNLTICM9nY1vvk1CdAw9Zn+EV8sWxerPqbonnd6eTpPXBnJ02SoubN/Juqlv4ehZjaG//IClvV2R+pXJ/lOYZzds4eyGLWrX0GrCaJxreBVLdoFAUEB0EUFFKD2dIJY3NQjbvYe4iAgCRo3Ep3s3rfVboaIr3T96l0mb11KzfVtib97i93GTeRb/qEj9vZwBwta9Iu2nT2bkil/wDGjClf0HWTpkFIGTZxC66x9unThFekqKti5FIBAIDBadz/SKEsjWv0qS2mtzhboB/LlSd7nuzm3chKmlJQEjB2OUj/NtUbB1d6PfvE/Y9+PPhPy+lt/HT6HT29PxDGhaqCfFSv51Vf938vSk2YjXABj843dEXQon5I91XA7aT8TJ0wC41vKm/YypVGlYX8T00zFFCZ5Q2KfP/DaRFHZjTE7nCztGfvVTlepHMjQCUBsb5f1OFURGfSGc0w0Hsbz5EolxcTy4HE6dzh10uhtSJpfT4Y0p2Lg4E7xgEeunv0OFiq74dO1Ey/GjMTIxybN9cmIiwd/9CECNVi145eMP1c5XrFOLPp/Ppd2017l3/iJRl8I5GbiewNenY1fJg1YTxuDTtZNQfgKBoNwhljdf4sHlcACqNGpQIuM1HjyAyVvX02ToIGRyGcdW/M7qMa/z7/adpCQ+y7GNJElsnvURF/7agYW9HV3ffwdzG5sc61ZwzVSkHd+axsSNgTQdPoTkhAT++t8nrJ/+No8j7+vy8gSCcoNwTjccxEzvJbKSxuY309ImNq4udHxzGu2nTeLgL0sJWbOOvz/+gt3zvsHG1RVTSwsURsaZAW3lcp7FxRN/5y41WrWg9+dzMLGwKNA4DlUr0+GNKQSMHMa+hYv4d/tOlgweyfAlP+Faq6aOr1IgKNvI0P5GFpnw1NMJRVJ6Geh2LV0zuWSKhg2vuAkxNW11Wf0ZKzLH1UcYXLmREe2mvk6z4a8RHryf8H0HSXwYy7P4R2QolUgZEpKUgaTMoGqThvT6rOAK72UsbCvwypwPqN2pPRvffp9Nsz5izJpluc4Wi4s2kpfqs39tyKCL5RRtJ41VyLLf9ZqWc01n8sKOaayZNFbjdWmxzwnKNmKm9xKqJzU9Joo1r2BD/X69qd+vt07Hqd68GW2nTCB4wSKuHz6GX4+uOh1PICjLiI0shoOw6b3Mi7usvGRHt3V307cIAoFAUKIIpfcSqjX0cqL07DzcAXgQfkXPkggEho3sRRJZ7RZ9X1XZpEhKT55HKQoZGqW4fRa2fVqGjLQMGcoXUU7Kic7Dyas6FSq6cvXgkRKb3Wp+1vroL6/7t7Q8BaYq5WpF2++b5jVLkixbKWwfxUUhk9SKQKALSst3vFQQ/WLGY+Vor2dJSgaZTEaN1i15cj+K6CvX9C2OQGC46MJdQbgs6ASh9F4gSRIX/96FhZ0t1Zo10bc4JUL8nbtEnMqM2HI5aJ+epREIDJesjSzaLgLtI5TeC+5fDOPR3bvU6doFhVH52NQa8sd6Ym9GAHD98DEuB+0n+elT/QolEAgEOqRU+unl17e2NbVCLhEfcQuAak1KJhpLaaDF6OHcPXee2JsRPLxxky3v/Q8zG2tGr16q2uRSXEqj75Wu76/HyeppnSyM1WPHmhQgpqumL6lSI05luobNLTff0+KQn19eYWNz5ovGeJp2vfzk0SfCOd1wKB9TmgJgbG4GgDI1Tc+SlBw2ri6MX7eaJ1EPeJ6QwK2QUxz46Vd+7f8aFSq6YuvhjmO1Krj51KaiTx3s3N1yzAGYoVRy8/hJrh06gjItjc6z3sTE3FwPVyQQCAR5I5TeC0xeKL3UpKR8apYtZHI5tu5u2Lq74VqrJqaWltw6cSozI/u5C9w6cVJV18jUFIeqVXD0rIqTZzUcq1XF0bMqV/YfYv+PP6vqufnUocGrffRwNQKBfhBJZA0HofRekBXg2cTSUs+S6A+ZTEbDAf1oOKAfkLm559G9SO6HXiLqUjixtyKIvRVB2K5/8uxn97xv8PCvi7OXZ0mILRAIBAXGIJVeYW0yBbE1PL4fBYCtm2sRpSp7yGQy7Ct5YF/JA99unVXHkxMTiYu4TezNCGJv3uLhzVvcPBai1vafr7+n77xPeBIZRfLTpzhWq4qNq4vOZdaW79/LFNZWZaqRF04zlmxR8uspNV5r2vA0/eqea+Sue5Bgpva6ir16Fo+cbICFjd8p0/St05ApLV29x/AYa7XX5hq2zwyN9jZm2U0PL9tHnzw3zna+pBBhyAwHg1R6uiDhQTQANq5C6eWHmZUV7r4+uPv6qI5JGRk8vBmBiYU5h39bzsW/d7GwU0+1di3Hj6bV+NE52gUFAoNGF6mAhJ+eThC/Pi94fD8KEwtzzCvoJttAWUcml+Ps5YmtW0Vemf0+fed9gkO1qmp1jixZwYnVgfoRUCAQCBAzPSDTdhV78xa2Hu4im7gWkMnl1O7Ynlrt23Lpn2BOBv5Jnc4duPDX3xz4eQlmNtY6zyIhEJQkWfEytd2nQPuUSqWXrmGP0LRfaH28lBQSY+Oo3LC+Tscpb8jkcny6dsKnaycAqrcMYP20t9n1xde41qpJxTq19CxhzhQ2V53m3WlqpGmBy7//85HqKwzVHdV3EZsZ592nJpo+bklp6tnxjoSp279a+uTvqqMpt6adUNMml56h3sJY43tsaape/+lz9R95YyP11ynpmhn+1G2Zqcrs5wUCTcTyJmBsZoappSVJjx7pW5QyjWPVKtTu1B6gSAlwBYLSigwdhCHT90WVUYTSe4F9lUpEXrzEk6gH+halTJP4MA4AaxcnPUsiEAjKI0LpvaDt5ImkPX/Oto8+VvnsCbSPJGUucckVYilKUHYQ+fQMh1Jp09O04SVr2CPys2/kZwHU9GmSySSqNWtM02GDCVmzjt/HT6b353Nx8qxWYJkFORN7K4J/vv4evx7d8OvRlQxl5qdTmt0WSjr2K4C/e4Laa00bX12N89nsiho2PM0fzEq26jbChzH5y6T5PdEcQ9OGp4kM9fqaMUdv3VZ/uHR0tlJ7nZqmYZdMyp5jz69y6n/ymesvhKBMBy4LWneBEABipqdG+zem0HbKRGKu3WD5sLHE3orQt0gGz83jJ4k4eYbtcz4jLTmZ9ORk5EZG5SaThUAgKF0IpfcSMpkMn26ZOw2ljAwUxvqL8FBWcPOto/r/5b37eBobi4mFCEYtKFuIfHqGg1B6GkSHZ2YQbzd1otbS65Rn3P18sK/sAcDfH3/Bg8tXqNGqhZ6lEggE5RWdrzEVRKvmZ0PR9Dkq7piatomXca5RHbmREWc3bcPdzxf3ur7CSbQYyGQyWo4bzV+zPwUy3UPavzGlxMbXxlNdtpiSmmNo2r7ykSGn+13Tfubn9jTP8wmp6nbumER1n7mYuHS110nPUtVeP3n0XO31oyT1OJgAdhbqba5oxMp8EKVuJ6xZTX1lJEJjI7S5hanaa2W6up1SU0ZjY/VrbOSZPQNKTr57ekEHzuliqqcbxExPA1t3Nzq98wZP7kexeuwklg8by7nN28pdyiFtkuWbBzBw4ddY2tvpURqBQPtkJZHVahGeejpBKL0caPhqX8atW0WDV/vw6O5ddn3xNT9278fpPzfpWzSDRGFsjKNnVRyqVqGKiHojEAj0iFB6ueBYrSpd33uHabu20fX9dzCxMOefrxfw5IFwXi8qklS4ZWqBwFCQy3RTBNpH5za9/OwbBUEzP1l+NsDijvlyfXNLCxr174OplRXbPpxLRMhp6vV+pZA9CpITnlKhYvHTNhU2x1tB6uTXp1LS/6+PiVxdapmp+gOEpYm6z1sFMxO112lK9ddnL6r7tNnm4OOm+b7UdFa3Myoz1H0JrUzVTQCSpG5vq+eh3h4Pzfc1Re2VZgzenHg5zqmJonDxSQXlEzHTKyDWTo4ApD5/nk9NgSapz5+TGBtXIklkBQJ9kOWcru1SFBITE5kxYwZubm6YmZnh7+/PunXrCtQ2JiaGUaNG4ejoiIWFBQEBAQQHB+dYNygoiICAACwsLHB0dGTUqFHExKhHPThz5gxTpkzBz88Pa2trXFxc6NixI/v27SvStWkDofQKiLltBQASY+P0LInhEXszAgCn6p76FUQgKAf069ePVatWMWfOHHbt2kXjxo0ZMmQIgYF557JMSUmhQ4cOBAcHs3DhQrZt24aLiwtdu3bl4MGDanUPHjxIt27dcHFxYdu2bSxcuJCgoCA6dOhASsp/M/a1a9dy8uRJxowZw7Zt21i6dCmmpqZ06NCB1atX6+T680OExSggpi+yAmRlWBcUnOirmb6PTl5C6QnKJqUln97OnTvZu3cvgYGBDBkyBIB27dpx+/ZtZs6cyaBBg1DkEvd22bJlhIaGcuzYMQICAlRt69Wrx6xZswgJCVHVnTlzJt7e3mzcuBGjF9GVqlWrRosWLVi+fDmTJk0CYNasWXzzzTdq43Tv3p0GDRrwySefMGLEiEJfY3ERM70CYmxujpGpKTHXbuhbFINCmZ5OyJp1GJma4lHXT9/iCAS6QRfRWIqgQ7ds2YKVlRUDBgxQOz569Gju37+vprhyaluzZk2VwgMwMjJi2LBhnDx5ksjISAAiIyM5deoUw4cPVyk8gObNm+Pt7c2WLVtUx5ydnbONo1AoaNiwIXfv3i38BWqBEp/p5bTRoLiatyDOv4Wpn1N78wo2VGvSiGuHj6JMSxMhygpI5MUw4m/foeGAfnrxz9PGxhZtPxnm1J9mwARNZ/S0fDbTpKSr9+pgmZJLzUycK6o7mstk2f1Qsznla8jg6aC+eeZKtHqOxNiYePX2NQv3nckvKEB54fr169mOOTk55ahQQkNDqV27tpoyAqhbt67qfPPmzXMcJzQ0lFatWmU7ntU2LCwMd3d3QkND1Y5r1j169Gie15Oens7hw4fx8fHJs56uEMubhSAtJQUTC3Oh8AqBSw0vzKytuHniJBlKpUgpJCiTZCaR1fLy5ou/ffr0yXZuzpw5zJ07N9vxuLg4PD2zmxHs7e1V53MjLi5OVS+vtll/c6ub1xgAc+fO5fr162zdujXPerpCKL1CoExPJ0OZQVpyMsZmZvk3EGBqZYl/n16c+D2Q+2GX8ajrq2+RBAKDYuvWrXh5eakdc3LKPQlzXso3P8VcmLa51c2rj6VLl/L555/z9ttv07t37zxl0RXCplcIPPx8SE9JIXTnHn2LYlDUbN8agGsHD+tZEoFAN+jSZcHLywsfHx+1ktPSJoCDg0OOM634+Myl5pxmZ4Vt6+DgAOQ8a4yPj891jBUrVjBx4kQmTJjA119/nascuqZIMz05/2nL4trPcqIgdQpTv7D95cbj+1EA2FXy0FKP5QM3nzpYOthz9dBR2k2bVKy+CvtZ5mg/K5YE+fenDQf6fINca7zWTKyszFB/2lbI1fvzdFEPSG2cw3j52RHTNcaor+F8Xs1R3cYX9UT956Zihbx9XjVl1rymnOqUd/z8/Fi7di3p6elqdr2LFy8C4Oub+0qLn5+fqt7LaLbN+nvx4kW6d++erW5OY6xYsYJx48YxcuRIfvnlF70G8RczvUJw7dBRnL29qNq4ob5FMShkcjk1WrUg7lYE8Xf0s2NLINAlpSWfXt++fUlMTGTTJvU4watWrcLNzY2mTZvm2TY8PFxth2d6ejpr1qyhadOmuLm5AeDu7k6TJk1Ys2YNSuV/D1snTpzgypUr9OvXT63flStXMm7cOIYNG8bSpUv1nrVGKL1C4FHPl9ibESQnJupbFIOjRpuWAFw7dETPkggE2kfrGRaK6PfXrVs3OnXqxKRJk1iyZAn79+9nwoQJ7N69m6+++krlozd27FiMjIy4ffu2qu2YMWPw8fFhwIABBAYGEhQUxMCBA7ly5Qrz589XG2f+/PmEh4czYMAAgoKCCAwMZODAgfj6+jJ69GhVvQ0bNjB27Fj8/f2ZOHEiJ0+e5MSJE6rysiN7SSGUXiGo2qQRGenpRIdf1bcoBkfVxo0wNjfn/LYdKNOyx3kUCATaYfPmzQwfPpzZs2fTtWtXQkJCWLt2LUOHDlXVUSqVKJVKtSDwpqamBAcH065dO6ZNm0bPnj2Jiopi165dtGnTRm2Mtm3bsnPnTqKioujZsyfTpk2jXbt2BAcHY2r6X97EHTt2kJGRwdmzZ2nRogUBAQFqJSoqSvdviAZFsulloH27iDYpih0xr/ZZfTyNfghk5twTFA5jM1OaDR/C4d+WE/LHOpqPGq43WUrC7+5ldPFdyTfxcj62LntL9YStRQmqbWOanud5WzP1h5v4JJNcauZMtve1FNvvSktEFgArKysWLlzIwoULc62zcuVKVq5cme24i4sLq1atKtA4nTp1olOnTnnWyW0cfSJmeoUgIyPzpybp0WP9CmKgBIwahn3lShxZsoJH9yL1LY5AICiHCKVXCBr0z/QrObD4N5EbrggYmZjQ7YOZpKeksuPTeWQoRSoYQdlAhvZz6ek/oVXZRCi9QuDiXYO6Pbtz68RJzm7aqm9xDJIqjRrQYEBf7pw5x4nf8476LhAIBNpG50ovQ6MUpY68kEXbMr8sU8e3p2Pj6sL+Hxbz9GGsFkYrf3R4YyqOnlU59PNS7ode0ulYOX2W+d1vBblnC4M27s/C9qGN70h+fRT2fapil6RW8qMg/Wv7u19UZDJJJ0WgfcRMr5CYWVnRdspEUpOec/XAIX2LY5AYm5nS5/O5yBQKtn30MclPn+bfSCAoxZQWPz1B/gilVwQqN/AH4MHlK/oVxIBxruFF++mTeXQvkpWjJhIbcTv/RgKBQFBMiqT0ji7/ndTneYcQKstYOzvh5FWdS/8EkxgXn38DQY40GtSfjm9Pz1R8I8cLx3WBwSKXSTopAu1TJKV3ac9elg8dw7NHj0pkTb0gdpnC2GyKi0wmo37fXqQlJ3PvQvZYdYKCIZPJaDJkIEN++g6FkTEb3nqPYyt/L3E5NO+X/GxXhbUJFsU2lZ8MJWHH1vZ1K2SSWrkcbaNW8rsmbdgVBYIif1/i79xl++xPtSmLQRF16TIATp7V9CyJ4VO1cUNG/74U5xrVOfDTrxxfuUbfIgkEhUam5SLQDcV6SLx5/CRpycnaksWgSH2eDDIZNq4u+halTGDrVpGhv/yIc43q7P/pF06t26hvkQSCAiOWNw2HYik9l5re5TaZqrtfHZAkIk6e0rcoZQbzCjYMWbQAh6pV2PvtQmKu39C3SAKBoIxRLKUXfeUq/3z/I7F37pa7NXVJmXm1ZjbWepakbGFpb0evT/8HksTRZav1IoM+7ET52cMKa+8qaTt3TjLkJ7OPS4JayY+Suo6iIEMHLgv6vqgySpGVXtUmDbGv7MHJP9bz64Bh7J73Dc8T8r9xywp3zl0AmQwX7xr6FqXMUbF2Ldx8ahNx8rQI9yYQCLRKkbIsVG5Yn9cWL0SSJO6cOcfBxUs4u3ErN4+H0P+rL3CpWfYVQXpKCkgS8hf5qQTapaJPHe6HXeZJ1ANs3SrqWxyBIE904UwunNN1Q5FmelmZw2UyGVUaNWD4ssV0fe8dnsbEsuGtd8lIzzvlSFlAkiRMLMxRmBQuXYqgYFg5OgCQXI5WDwQCge4pktKr2a612muZTEaDV/vQfPRwEqJjuHb4qFaEK61IkkTszVs4elbTeg4tQSZGJsYApKfqP+FsaYjvqG0bXVm5ptJwHZA5K9P2zk3x06IbtHqf+PfthZGpKQd/XlKmZ3v3LvxL0qPHuPv56luUMkt6SmaSUyMxkxYYANr20RO+erpDq0rP2smRJkMHEXszgutHjmuz61JFzPWbAFSsU0vPkpRNJEnizMYtAITvO0DKs/wj8gsEAkFB0PqKQJ3OHQGIvBiq7a5LDVk2zX+379CzJGWT1GdJJL5I23Rs+Wp+7T+EB+EiuLeg9CKc0w2HIu3ezAvHqpUxMjXlQfhVbXddapAyMi0Odh4eepakbGJqZcnQX38k+elTEh/GErzgJwInvcGw337CuYZXicuTn32pNPiLlQYZNFFK6gt0Co0fcc0n7vyuQaSEEWgDrSs9uZERFrYVSH6aqO2uSw1X9mfm0fNu20rPkpRdqjSsr/q/faVK/PnmLP6cMYsxfyzHwtZWf4IJBDkgXBYMB508PClMTFCmpeqia70jSRIha9ZiZGqiyqsn0C3VmjWm86w3SYiO4fT6TfoWRyAQGDBaV3pSRgaJsXGYV6ig7a5LDaaWlshkcp4/fqJvUcoN9Xr1wNLBgasHD+tbFIEgOzIJmZYLwqanE7Su9J48iCbt+XOcvDy13XWpQCaT0fGtaaQlJ/PP1wvIUCr1LVK5QK5QYF7BBmUp9NsrLb5ihaEkYljGJ5molcLKYEjva373RFGLQPto/X1VGGc6FcdcvV5m4yZ6t21NtaaNuXrwMLdPndW3OOUGuUKu2kQkEAgERUHrSs/ayRG/V7px5+x5HpbR1DAymYwW40YBsG32J9w9f0G/ApUT0pJTVA9VAkFpQob2lzdllM1Jg77RyQy6Voe2ANy9cFEX3ZcKKvnXpfmYEaQkPuOfrxeKZU4dk6FU8iTqARXcXPUtikAgMGB0ovSyNrGkluFIGjKZjLaTJ1C/by+ir1zl0C9L9S1SmSYxNo6M9HQqVCz9GRdKg51GH2Nq2ugcLFPUirb7L00L3XKZbopA++jk+/A48j4Atu5uuui+VNH+jcmYWVsRceqMvkUpF2RFahEIBIKioBOlF3/nLgC27qX/qby4GJmY4ORVnahL4dwrw8u5+sba2YlqTRtzZf9Bbh4P0bc4AoE6wmXBYNCJ0rsVcgoTC3OcvarrovtSR7cPZqIwNuLvjz9HWYazS+gTmUxG9/+9i5GpCQcW/6ZvcQQCNcTypuGgdaX37NEjIi+GUa1Z03Kz086xWlWajx5B/J17XNj6d7bz6ampBH3/I7ERt/UgXdmhgqsrlg4OpD57pm9RBAKBgaL12Js3j54ASaJa00Y5ns9Jy5Ymg3RRaTJ0EKfWbeTYitU4Vq9GJf+6qgSzf86YScTJMyQnPOWVOR/oWVLDJeFBNE/uR+H3SrcSHbckAiPn16aw3xHN+truP6c+8+vjfoKZ2ms3m+Q86xfkGq4+tFL9/8kji3wk0B0ytO9iIFwWdIPWZ3pJL0Jz7f7yG+Y3b0/g5BnlIi2Mibk5rcaPJiE6hjXjp/DbwOHcPnMOKSOD6CvXAbgfdknPUho2WS4wIuapQCAoKlqf6fm90o2E6GiSHj3mWfwj7pw9z+qxkxn9+1KcPKtpe7hSRaNB/anSuAHnt2zn3OatBH37A2MDVzBu3Squ7DuIRz0/fYto0CQ8iAYgRSxvCkoZIsuC4aB1pWdhW4FOb7+heh1x+iyBr09n6/tzGLbkJyxtbLQ9ZKnCybMand6ezvMnTwjduYeVI8fj6FmNtlNfx8rBXt/iGTQx1zJnzNcPH+Xq/kPYurvRYuxI7Dzc9SyZoLwjk6H1pK9C6ekGnfutVm3UgHbTJvHwxk0O/by0VDuYapN20ybh1ao5jyKj+Hf7Tv6e+5mIG1lM6vXpiYmlBREnz3Dn7Hn+3b6TFcPH8uhepE7H1XZg5KI4rOdXvzQ4xOeHq02yWnn03FitFOV3IVUpV5U0ZWm5UkFppkTukoCRQ7F0cChXNi1rJ0cGfv8Vbwb9TdUmDbl5/KTYvVlMqjZqwPRdW5m6YzNvBu+k92dzSH6ayNFlq/QtmqCcI+O/JU6tFX1fVBmlxB6NXGt5E3PtBukpxQ9HZGhkhWWztBfLm8XFxMICGxdnzCvY4NO1E661vLmy72C5vK8EAkHhKTGl51HPD2VaGlGXw0tqyFKDU/XM3IInVv+hZ0nKHj5dO5Py7BlXDx3RtyiCcoxcJumkCLRPiSk9CztbAFKTnpfUkKUG8wqZm3dOrA7UsyRlD5+uHTEyNWXfwsUkxsXrW5wSozTa7ArLo+cmaiU/ctoPUNEmWVWcrMRsX5A/JfZ9eXTnHpAZQ7G8UbNdG8xtbTGzthJhyrSMlaMjXd59i4QH0Wx8612UafrPrC4of8h0VATap8SUXsTpM1jY2ZZ5X72csHJ0wL93D5KfJjI/oB2b3/0IZVoaoTv38EWjlnzRqCV/THqDuNt39C2qQVKvVw+ajXiN+2GXORn4p77FEZRDtL6JRQd+f4JMSkzpJSckkKFUEn31WkkNWapoPWk8rV8fh62bK+HBB9g86yP+mv2p6vztU2f4beBwNr/3P9KS8w7PJMhOm0njMbEw5/rR4/oWRSAQlGJKTOm1mTyRtOQUVo+dROiuf0pq2FKDwsiIluNGMWrVEmzd3bh2+CgARqamvL55Lb0++R8A4UH7Obp8tT5FNUgUxsa4+foQFXaJlBJOXpyTrcnQ/FB14duXn++gp/0ztVIU7CxSVcXGTH9L2zIdbGKRiY0sOkHrEVlyw6dLR+zc3dg060P++t8nPLh8hUaD+mPj6oJcoSgpMfSOha0tr29eS/zde0hKJfaVK6EwNsa+ciVqtGnFz30HcWz5apSpqTQbORRLOzt9i2ww1OnckYiTp9n4zvu0njgGj3r/Bf0WCAQCKOGNX26+dRi9eike/nU5Gbiexb0Hsnz4WJ4/SShJMfSOXKHAsWoVnKp7qqVfMrW0YPiSRdhV8iBkzToWdurJrZOn9SipYVG3Zze827Xm9qkz/D5uCqE7dutbJEE5Qdj0DIcS3+1s5ejA0J8X0u3DWfi90o2Yq9cJnDxDFVexvONQpTLj1q7Cr0dXANZOnsHd8//qWSrDQK5Q0OfzufT8+CPkCgXHV/+BJIklIoFA8B96cfFRGBtTv28ves79kFYTxxJz7TorRk4oV4ovL/uJsZkpPT/+iF6f/A8jUxN+HzeZHZ/O4/H9qJIX1MAwMjHBr0dXGg16ldibEdw+c67YfZYGn7j87IQlYVcsbPxPbY9XWmOKAsiRdFIE2kfv902r8aMZ+ssPZKSns3LUBA4s/o0/35zF5nc/4lo5j7Lh270LQxYtwLWWNxe2/c1vA4bx8OYtfYtlEDQY0BeA0+s36lkSQXlALG8aDnpXepCZFHTAd/OpULEix5av5sbRE4TvO8iGt97j8G/Ly/USVSX/uoz+fRndP3qP9JQUdn46r1xFHikq9pU8qN4igKv7DxG8cBEZIiiAQCCglCg9AK+WAYz+fSltJk9gxLLFTN2+EZea3hz+bTkb3npXlZG9PCKTyajXuwc127cl8mIYSweP4PSfm3SeUsfQ6fG/9/Co60fI72tZO/UtnsY81LdIgjJLpouBNgtFXN5MTExkxowZuLm5YWZmhr+/P+vWrStQ25iYGEaNGoWjoyMWFhYEBAQQHBycY92goCACAgKwsLDA0dGRUaNGERMTk61eWloaH3/8MVWrVsXU1JRatWrx448/FunatEGpUXoAJubmtBgzAnc/X2xcXRi+dBG+3btw/fAxlg0dzdUDhw0mzJS2bREymYzen82m+ejhJD1+wj9ffc+SQSO492+o9oR+gSRJZSJrgZWjA0N//YEGA/py+/RZlgwewZ2z5wvdT3HtY/nZ24pig9N2fV3YAYt7zYbo71ga6NevH6tWrWLOnDns2rWLxo0bM2TIEAID8479m5KSQocOHQgODmbhwoVs27YNFxcXunbtysGDB9XqHjx4kG7duuHi4sK2bdtYuHAhQUFBdOjQgRSN347Jkyfz5ZdfMmXKFPbs2UPfvn154403+OKLL7R+7QVBJhVi7TAsLAxfX1/Gr1+tyhygayRJ4uLfu9gz/zvSkpMxtbSkessAarZrTfXmzTCxsCgROQpLYRVbYb7U8Xfucvf8v+ye9y3mFWzoN/8zPOr6FnJEdaSMDA79uozoq9d4EH6VxIex1OvVg5bjR1Ohomux+i4NXD1wmM3v/Y+qTRoy+Idv9S1OvmjeP9r+0S9K/7q8pwtCTuO/PMbDGzdZMmgEoaGh+Pj4aHn0nMn6TRy37net/yY+vHGTpYOHF+p6du7cSY8ePQgMDGTIkCGq4507dyYsLIw7d+6gyMUvevHixUyZMoVjx44REBAAQHp6OvXq1cPKyoqQkBBV3SZNmvDs2TMuXLiAkVGmu/exY8do0aIFixcvZtKkSUDm++Pn58fnn3/O+++/r2o/YcIE1qxZw71797Av4ZRrpWqmlxMymYy6Pbsz/s/faTtlIvZVKnNpTxBb3pvNT6/05+qBw/oWscSxr1yJer168MqcD0h8GMvayTOKHeXmWfwjji5bxfXDx0h8GAvAhb92sKjXAM5v3a4NsfWKd9tWWNrbkfAgWt+iCAQ6Y8uWLVhZWTFgwAC146NHj+b+/ftqiiuntjVr1lQpPAAjIyOGDRvGyZMniYzMNKdERkZy6tQphg8frlJ4AM2bN8fb25stW7aojm3duhVJkhg9enQ2eZ4/f87u3SXvS1vqlV4Wtm4VaT56OKNXL2Hqjs10eucNZDI5G995n73fLjSYZU9t4tOlIwO+n4/cyIi//vcJp9dvKnJflvZ2GJlmpncZsexnxq9fTfeP3sPWzZWdn83n4C9LDX5DkbWTI7E3I9g06yNuiBidAi2ibXvef3Y9uH79OmFhYWolJ9sZQGhoKLVr11ZTRgB169ZVnc+N0NBQVb2c2oaFhan1kVvdl8cIDQ3FyckJV1fXbPXyk0dXGIzSexkbF2caDx7A2MAVeNTz49TaDWx5b3aRf5SLYm/Lr422bTi5UaNVCyZu/AP7KpX55+vvCV7wU5ECVj9PeIoyXUmN1i3xqOeHU3VP/Pu8wohlv1CxTi2OLl3JhW1/F0NS/dN3/qdUadSAK/sO8Odb7/Hwxk2t9FtY/zV9+J9pQ0Zdj1nY8wWtUxIU5TMu6Hvep08ffH191crixYtzlCMuLi7H5cKsY3FxcbleQ0HbZv3Nre7LY+TWp6WlJSYmJnnKoysMUullYePizLBff6R2pw5cPXi43PpkWTk6MOSn73D29iJkzTpWjBjPidWBpCYVPPDy4d+WIymV1O7YLlvfry1eiLmtLfsWLmLvtz8YbE7ACq6uDP3lB7q+9w6SUknsrQh9iyQQ5MvWrVsJDQ1VK5MnT861fl7xZvOLRVuYtrnVLWi9gsijCwxa6QHIjYzo/tG72FXyYN/CxURdDte3SHqhQkVXxq5ZTsvxo3kcGcm+HxazZ/53BZr9pjxL4uzGLbj7+eDTtVO286ZWlvT46F2SnyZyau2fnN24JYdeDIfYiAgAbFxd9CuIoOwg0/4SZ1YWWS8vL3x8fNSKs7NzjmI4ODjkOHuKj8/07c1r00hB2zo4OAA5zxrj4+PVxsitz2fPnpGamlrim1igDCg9yAzU3PfLj5EkiRXDx7Gg0yssHz6WjTM/4MDi34gMDUPKKPubnmVyOa0njuWNf/5GYWzMxR27WT5sLDdPnMxT+cXfuYOUkYFnQFNk8pxvCe+2rZgRtAOAg4t/M1ift8f3ozi3+S9cvGvg5lNH3+IIBFrFz8+Py5cvk66xGnPx4kUAfH1z3+Xt5+enqpdX26y/udV9eQw/Pz8ePnzIgwcPCi2PrigTSg/AtVZNXv3mS+p06Yh95UokxT/i2sEjHFu+mlWjJvJj977s+uJrbhw7QXpqaqH711xrL80+RKaWFgz99Ud8unUm+spV1k19iw1vvpvrdWe5JITtCcoze7uFbQV6fzab1KTnBH2vP+fS4nBg0a8oU1Pp8OZUnS2taMPOVNz7q7TYul6muN+htAxZtlJa0KVNrzD07duXxMRENm1S39S2atUq3NzcaNq0aZ5tw8PD1XZ4pqens2bNGpo2bYqbmxsA7u7uNGnShDVr1qBUKlV1T5w4wZUrV+jXr5/qWO/evZHJZKxatUptrJUrV2Jubk7Xrl2LcJXFo8Ty6ZUEXi0D8Gr533bbjPR0oi6Hc/XAYa4ePMK5zds4t3kbJpYWVG/ejFYTx+JYtYoeJdYdHnV98ajrS/PRwzm6dCWX/glm87sf0f+rz9XSGUFmjr/20yezf9Gv/PH6dMavX425jU2O/fp07cy2jz7h8t59NB02BDef2iVxOVrhSdQDLu/dR7VmTajauKG+xRGUIV7ebanNPgtLt27d6NSpE5MmTSIhIQEvLy/Wrl3L7t27WbNmjcpHb+zYsaxatYobN25QpUrmb+CYMWNYtGgRAwYMYN68eTg7O7N48WKuXLlCUFCQ2jjz58+nU6dODBgwgMmTJxMTE8N7772Hr6+vmnuCj48PY8eOZc6cOSgUCho3bsw///zDb7/9xmeffaaX5c0ypfQ0kRsZ4e7ni7ufL+2mTSI24jbXDhzm6sHDXN67j9unz/Lazz/g6uWpb1F1hpNnNXp/Nke13Lnlgzn0/fITFBpbmpuNeA2AfT8sZv30dxi5/JcclzrjIv6bCRqbmepWeC2Ttcxdq30bfYsiEOiMzZs38+GHHzJ79mzi4+OpVasWa9euZfDgwao6SqUSpVKpZvYwNTUlODiYWbNmMW3aNJKSkvD392fXrl20aaP+nWnbti07d+5k9uzZ9OzZEwsLC1555RW+/vprTE3VfxcWL16Mu7s7P/74Iw8ePKBq1aosXLiQadOm6faNyIVSH5FFV2RF6DC1smL4Lwtx9qquOpfTUovmz39pW9LMjwylku1zPiNs915qdWhLn8/nItdQfJIksX3OZ4Tu3EPL8aNpPXFstn5OrA5k3w+L6f3ZnBw3vZRmnkQ9YFHPV/Hwr0uvT/6HrVtFJEki+so1Up8/Ry6XU6GiK9bOToXqVxfLh8W9v0rLkmZe5HeNmteQ03Kmsfy/n6+HN27yq54iskzZsArn6tW02nfMjVssGjCyRK+nPFCmZ3p54d22Ff2/+oxNsz7i94nTGfzTt1SsXSvX+oam5DSRKxT0nPshGcoMLu8NZpv8E16Z86HabE0mk9H1/Xe4d+EiR5aswNLejoYD+qn1Y14hc9lTU2EaAhUquuLfpyfnt25nca8BVG3SkMTYOGJvRqjqyBUKAkYNo/Xr47Rm89O8dwqikIr7kFVYhVKUPgvbR3G/Qy8ruCyUkizH/wsEuWEID4Q6o0brlrz6zZekJT8n8PU3ynyGcrmREb0+/R8127fl8t59LBs6mgfhV9TqmJibM/TXHzCzsebMhuyuCQ4vbKCHf1tGyJp1XDt0hNSkJGKu3yAhOoboq9dIeBBN7K2IIm0Y0jXdP3qXwT99R60ObYk4eYbYmxFYuzjT8e3pdJgxBafqnpnh2I4c07eoAgNCJpOQa7lo20YoyMTwHte1jFfLAAYu/IYNb77LumlvM+Sn7/Co56dvsXSGwsiIvl9+TMiadRz6ZSlrJkxl9O/LcKhSWVWngqsrlev7c/XgYQInz0BhbEzDAf3wahmAe11fWk0Yw/FVawhe8FOeYzlUq8qIpYtVs8PSgmezJng2a8K5LX+xZ/53NB06mCZDBgJQu1MHFvUawOl1G6nRqoWeJRUIBNqmXM/0sqjaqAFDfvoOgPXT3yH6yjU9S6Rb5AoFASOH0vuzOaQmPefE6uwpR9q/MZmKdWpx5+x5bhw9zp9vzuLev6HIZDJaTRjDtJ1bGbZkEY0Gv0qFiq7U6tgO/769aDVxLP59ewIQdysi20yyNFG/by9mHQmi8ZDM4LzKtDQs7Gyp1b4tt0JOlfn7QKA9ZDoqAu1T7md6WXjU82PA9/NZP+1tNrz1LqNWLcHK0UHfYukUE8vMtEw3j2ePvG5fuRKjVy8F4Nrho2x4811Or9ugSmFkXsGGyvXrUbl+PTq/MyNb++gr13l8P4qqTRrp7gK0QJZtMmz3XrZ99DGutWvS8a3pXN4bzJUDh3CpWUPPEgoMATmZS5La7lOgfYTSe4mqjRrQ/cNZbJ/7OavHTmLgwq/LrB9fYmws2z78GBNLC/rO+zTPuh71/LBydCB830Huh17CzTf/SCa27m5EXbrMo3uR2Ffy0JbYWuNy0D7ObtrGs7g4MpQZxL9wyjcyNkH5whZpZmUF5L+pRBubRkp6o1RRHd5LkoJsnFG8pGgUwgYmKABieVMDv1e60fX9d3jyIJrVoydy8OclnFq3kecJCfoWTas8CL/G8ydPSE16nq/7ibmNDa9+Ow+5Qs4fk97gxOpAnj/J+/1w8fYC4JkeoqhrIkkSJwP/5NcBwzi1biM7PvmSLe/N5v7FMKQM9R9Kl5o1VDkaqzRuoA9xBQaITKabItA+QunlQIP+fRi88BskCY4uW8Xebxbw1//yng0ZGp4BTTA2NwdJ4t/tO/Ot7+ZTm8E/fY+JhQX7fljM7+On5Lk7M+nRYwCiwvQfAPzoslUEffcDcbci2PvNAi78tYNqzZowadufTNz4B69vCmTmkSBkcjnXDh/l9plzAFzcsdtgM0oIBIKcEUovF6o1a8zUvzcxbt1q3HzrcOvESdJTUvQtltaQKxQM/H4+AHu/WcCRpSvzbVO5fj2m/PUnjQa9SuzNW/zcdzAnA//MUTGY21YAoKKew5Q9uhfJ4SUrcK5Rncnb/qTnxx/x6rfzGPzDN1g5/BcCKTnhKVJGBvaVPej63ttYOTpw8o/1HPplqR6lFxgKYiOL4SCUXh6YWlni7OVJzbatyVAqufRPcK51S2OA3/yo0qgBnWe9CcC5zdvUQozlhpGpKR3enEr76ZNRpqUR9N0PrBwxntTnz9XqZc30Kug5fc/FHbuRlEo6vDEVW3c3/Hp0xbtNy2wh1uTGWeZtGZUb+DP4x28BOPnHeh4/iC5W8OfSHJxcIChvGMrvs17x79cLmULBv9t3ErJmLbdOnCKjjCx7NRrYn67vvcPTmIcsGTyCexeypwvRRGFkRLMRrzHhz9+p2a4N0VevsW7qW2qKTybPfE5NjNWvTe/K/kOY29rma58zs7bG3NaWO2fOcT/sMs41vOg3/zOUaWkc/m15CUkrMFSEc7rhIJReATC3scGreTPunD1P8IJFrJ36Jgu79GLHp/NISXymb/GKTYNX+9B33qdkpKdzev1GLgft5/CSFdw+fTbPdha2tvT76jOaDB3EvQsX2fv1AtU5326dQSZj348/61j63HmekMDD6zfwbNYY+Yvo8rmhMDJiwHfzkBsp+HPGTJ5EPcC5RmY81vi790pCXIEBI5Y3DQfhslBAus9+j/XT3qZindpYOToQtieIC9v+xtzGhvZvTNa3eMWmdsd2hPjU5urBw9w9/68qSewHp4/k2U4mk9FhxlTunvuXC3/twLdHV6o0rI9rrZp41PXlzplzPH+SoJeoLA/CrwLkGVP1ZTzq+tL7szlsmvkh+3/6RfVA03TYEJ3JKBAIShYx0ysglnZ2jFmznG4fzKTVhDFM3LAGOw93QnftIS05pUzYbdq/MYX0lFS1ZcqCJOGQyWR0/2gWChMT1k9/h52fz+dJ1ANVGK8fu/dlw1vvEXPtus5kz4lHL2Zojp5VC9ymZrs2VG/ejEt7gkh4EA1AQnS0LsRTwxBswvq+xzXHz6noC20vbWYVgfYprd+vUo9MLqfhgH4kxsZxfut2fYujFZxf+NalPE1UHbuy/1CB2rp412Dwj9/iULUK57dsZ83Eafj17E776ZNJT0nh2qEjeW4E0gVZvoRZO0kLStupEwEwtcl0To+7dVu7ggkEAr0hlF4xqN+/DwC3z+Rt+zIUDvz0C5C5q7NyA3+MzcywKITCqNKwPmP/WE7r18fx5H4UP3Xvy6PI+3i3bQVA/f69dSJ3bmS5mBiZFi7ZrYt3DWp36sC9c/9i5eTI1UNHkDIMdf4uKAmETc9wEDa9YqB4sc09v00ShkL8nczlwA4zpuBaq2aR+2kxZgS2bhU5s2Ez5zZtVR23tLMrroiFwrxCpsJOjI3DybPgCT6ljAzi79zFyNQE79YtObtpKw/Cr1KxTsFsg4JyiAzt77YUWk8niJleMZDJ5Vg5ORIetJ+vW3Zk1xdfF7mv0mDTaTz4VQCOLFlZrH5kcjm+3bvw2s8/qDIYyBSKEn84cKhSCYATK9dke3/zKtGXrxB95Sr+fXpy99wFAEJ37VEtlxb2syoNn60uKIiNrTTY2wSClylL38ESRyaTUbdndwDSkpM5t+Uvnjx4oGepio6TV+YW/WePHgGQmpRE2O69HFj0K7/0G0LkxdBC9WdsZkqnt99g0A/fMODbeSWebb1asyaYWlkRXcgNNM+fPAHAoUplHkXeB+DU2g0s6PQK/3y9oECbewTli8I8VBWmCLSPWN4sJi3HjcLdtw7KdCWbZ33InnnfYevuhsLYCM9mTanWrLG+RSwwWX55WfarFSMnEHcrQnV+1ejXAWgzaTwtxo4scL/VmzfTnpCFIHTnHlISE2k2vHAuB7EvItPYubkxesUvhB/MtOndPB7C6fUbqezvR51OHXQhskAg0DFC6RUTIxMTarRuiTI9HUfPqlw/ckx1LuSP9fT6+CN8u3fRo4QFp1aHdhxdtor423d4npCgUng127Xhyv6DqnoHf15CgwF9MbcpXRnRX+b2mXPs+uJrTK2sVFnRC8qtkFPIFQoq1a+HqaUFTt6ZOfUaDXqVxb1eZcdnXyFJ4NNZKD5BJjIdRFAREVl0g5hBawmFkREjV/xG789mM/7P3xn7xwqsnRz5a/annNvyV77tS4P9w9TSghZjRpD8NJEfu/VVHa/bqzvTd2/Fq1Vz1bGQNev0IWK+PIt/xN8ff8Efr09HJpcz7OcF2Dg7Fbh9xOmz3Dp5Gvd6fhhbWqh9Fha2FejzxcfIjY3Z8sEcjqz8vUCfVVE+W7HMJRDoBvF90iKmlhb4dO2Mk2c1XGrWYOTyX1CYmLDr86/YPvdzg4jXWbdndyrWqa3a7u/mU5tqTRtj5ejIwO+/wu+VbgDcOX1On2LmSMz1myzs3JN/t+/E3bcOo1YtKXA0liwOL12JMi2NpkMH53jeq2Vzhi9dBMCBn37l8Qubn6B8I2x6hoN4X3WIjasL7aa9jo2rCxf/3sU5A3Bil8nljFzxC1O2b+SNf7YzatUSjExMVOfbTZsEQHJiolo7SZL0nnvu5YeK50+eEHP1WqEeNJ48iObuuQuYV6iAe12fXOs5Vq1Cm0njAVg+bAxbP5zLzeMhwpevXCOplji1VUAsb+oCofR0TJMhA+n+0bsApCcn61magiFXKKhQ0RVL++x+dckvMsh71PVVHbt+5DjLXhvF1y06sHLk+BIPN5aFay1v3ti7nVYTxpAYF89fsz/lpz6DCN93sEDK78L2nWQolXSe9Wa+PoUBI4fSYtwo7CpV4tKeINZNe5utH34sFJ9AUMoRG1lKAMdqVZErFAQvWMTDG7fo+v47arMnQ8LM2hqA81u34xnQlPg7dzmw6Fdkcjku3l48uHKN38dPZeqOzZhaWpS4fJZ2drSaMIZGg18lZM06ji1fzcZZH1LBrSIDF3yFjYsLZhbmyGT/ef5mkOnAfnjpSuwre1CjdYt8x5EbGdHm9XG0eX0cj+5FEvTdj1zeG0x6SgodZkwh+WkikpSBm08dFLLCexkL1WlY6GI5UsxIdIN4X0sAGxdnlT/fv9t3cnHHbj1LVHSsHB3w6doJgM3vfsSBRb9iX7kSEzcFMmbNclpPHEtKYiKb3/1Ir3Ka29jQdvIEXv3mSwCe3I9iycDhfNumM0uHjlb532URfeUqklKJb/eumJibF2osOw93+n75MT7dOnPt0BF+6TeElSPHs2rURA4u/k1r1yQQCIqPmOmVEJ1nvUmdLh0JnPQGl/fuw79PT7XZhiHRYcYUKlR0RcrIwMLOFr9XuqtidDYeMpADi37l1omTpCQ+w9TKUq+yerdtxfQ9f/HvXztIjIsjLuIOt0JOsWzYmBcZFZri5udLeloaAId+WUrtju1xqFq5UOMYmZrSeuJYHt+LJPJimOp4yB/rafv6uDITqk6QM8JlwXAQSq+EMDIxoUqjBlRq4E/EydNEXQrHzae2vsUqElaOjrSdMjHHc8ZmpjQeMoBTazdwP/RSqXDOt3Kwp/no4arXF7fv5O9P53Hhrx1c+GsHJhbmpKekqs4/vHGz0EovMTaW3wYMQ5mWhsLEBGVqZn9SRgaICC4CQalBKL0SRCaTUa9nd+6ePc/2OZ/RedabVGvSSN9iaR1Tq8yUPMhLbiabGBvH/h9/JvlpIinPnuHTtRP1+/bKsa5fz+5UadKIU+s2YO3sxMFFv2Hj6kLz0SNwql4VN9/cd27mhomFBdbOjjyOjOLVb74g9mZEphN//z5gZJSvjU7TzqD5Wtj4Sje6yIpgmOtApR+h9EoYx2pVMTYzIy7iNuumvc2ghV9TrWljg13qzAmvls05smQFh39dRtXGDUvk2vb/9IuarfTOmXPUaN0SKwf7HOvbuDjT4Y0pAPh06YSJhQXGZoVLQfQyJhYWvPrtfFaOHM/2OZ8x4Lt5zDwSVKY+V0HuyHSQ9FUsb+oGsZGlhHHzrcPbB3YzfOli5AoF66a+xfY5n+lbLK3i5lObqk0acu/CRR7euFno9hlKZaHbRP6bGQx71tFgqjXNXFJ9ORluXlja2xVL4WXh7OVJny8+JjXpOX+8Pp3LQfuK3adAINAuQunpAbmREZX86zJq5a9AZmDkx/ejuHv+AjdPnCTi1BmULzZWGCrNR48AIHTHnkK1y1Aqmde0DV80asmpdRsKrACrNWsCwIJOr3Dv31CMTE2o4OZaOKG1gHeblgxfsghTK2u2vj+Ho8tXi6wM5QCZTDdFoH2E0tMjLt41VFnFF/cawO/jprBu6lsETnqDNROmkp6amk8PpZcqDetjX9mDs5u2EB58oMDtoi6Hq/6/95uFrBo9kegr1/Jtl2UbTU16jkwuo+Ob0/XmC1mxTi1Gr/oN5xrVObj4N/7++Au1hxgRbkog0B/i+6ZnWo0fQ92e3anWrAntpr5Otw9m4tOtM5EXw7i0J0jf4hUZmVxO1w9moTA2YfO7HxVIcQG4+/pQr/crqtdRl8JZNnR0vr6N3m1b8cHpI7x34gBv799Ng1f7FEf8YmPj6sLwpT9TvUUAF//exdopb5L0+IleZRLoDjmSTopA+wilp2dcatbglTkfMOSn7wgYNYz6/XrTZdabANw4dkLP0hWPqo0a0G5aZg6+hzdvFbhdtw9mMuC7eXgGNFEd2z7nM/b9sDjf5U65kREyeem4rU0tLRjw7Zc0Gvwqd86eZ/WYicTfuatvsQSCck3p+HUQqGFmbY2JpYUqg7chk7WsJzcquHO2XKGgRuuWDPz+K/p99bnq+InVgfzzzQJti6hT5EZGdH5nBp1nvsmje/dZNXoid8//q2+xBFpG2PQMB6H0SiHJiYmkPkvifuglzm/9m8jQsPwb6QBt2J2827ZGplBwcfuuwo9vZESt9m1o+lLm8/TklCJKol8aDerPwO/nk56axrY5n6HMyMiWZ0/f+RQFRUemoyLQPsJPrxSSkZ6OsZkZqUnP2fnZPABajh9N64lj9SxZ4bF2cqRa00bcCjlFWnIyxmZmhe6j/fTJ2Lg4I0kSDV/tm3+DUkr1FgE0Hvwqx1b8zo1jIXi1DNC3SAJBuUPM9EohFra2TNz4B33nfcqr33yJay1vjixZQcSpM/oWrUg4VKlMhlJJYmxckdrLZDIaDx5AkyEDURgba1m6kqVB/z7IFApOBq7XtygCLSKTgfyFg7q2ilje1A1C6ZVSbFxdqN2xHd5tW9Hz48yMBRvffq9Ijtv6JissmbBlZX6udTq1J+Lkae6HXda3OAJBuUMoPQPAqbon7nV9SU16bpBJShv074OppSV/z/2c7XM+437opVyd7/Wdfb0kCBiVGfz61No/9SyJQFsIm57hIJSegeBQJTPq/+/jJhd5tqcvh2grRwfG/LEc+yqVubhjNytHTWDZ0NFEnD5L3O07RJw+y6Ffl7Fy1ATmB7Rj4zvvk2YgWeaLgrOXJx71/AjbE8SD8Ks5RmzR9caWotwL2r5/ypKDvhztLm3KZcJPT1eIjSwGQueZM3gS9YDbp88Sdeky7n6++hapUNh5uDN+/WpuHg/hyJIVRF0KJ/D16Wp1TCwtMLEw5+qBw/zcZxAd35pO7Y7tSo3fnTbx79OTexcusnzYGKwcHajZrg0NB/XHsWoVfYsmEJRphNIzEEwsLDB/kajV1sNdz9IUDYWRETVatcCrZXMeXr/BtcPHSHv+HDMbayr518W1di0e3b3HbwOGkRgbx9YP5mDn4U7FOrX0LbrW8XulG6ZWltw+fY6bx0M4s2EzZzZspkarFjQd8RqV/OuKDA0GhEgtZDgIpWcgJD1+wrVDR6lUvx6Wdnb6FqdYyGQynGt44VzDK9s5h6pVaD99Mvt+WAxg0PFH80Imk1GzXRtqtmuDJEncu3CRkDVruXrwCNcOH8XG1YUarVvi3aYllRvWR2EkvqoCgTYoE9+kjPR0oq9ex6FqZUwsLPQtjk4ID9qPMjU118SoBaGwtiF9bJmRyWQ0HT6EE78HkvToMR71/PQgRckik8mo5F+XSv51iYu4w7nN27h68BBn/tzEmT83YWplhWdAE2xcnHl0N5KGA/up0icVlYJ8tvklsi3s+aLIYDDIJO3nvxP59HSCwSu9+6GX2PL+bJ5EPcDOw51Xv5uHk2c1fYuldS4H70dhYkKNNq30LYrOyZwJVuf26XOkp6RqJdedoeBQtTId35pGhzen8vDGTa4eOMz1I8e4HLQfXmx4sfVwK7bSEwjKKwa/Q2D73M95GvMQ3+5deHQvklOBZW8b+LP4R9w5c47qAU0xtSybM9mXSXgQze0z56napFG5UngvI5PJcPaqTstxoxi18jem796mimZTp1MHPUsn0CSndFHaKALto9f3Nf7uPZ7FPypyypWEB9HERdzGr0dXur73NpYO9twPu6RlKfXPmQ2bkTIyqN25fPzYnd/2N5JSSePBr+pblFKDlYM9JpYWVKjoWiY39hg6MplMJ0WgffSm9GKuXeeXvoNZ2LknCzr2ICE6ptB9RIZmKrjKDfwxs7DAzt2NmGs3uLL/oLbF1RvPnyRwKvBP7Ct7ULtDW632XdinypJ6Co28mBlg2zOgqQ5HMTzqdO7Ik6gH7P3uBzJKwIk/P1/Bwp4XQbUFpQG9KT1jc3PV/80rVChSTMWEBw8AsK3oCkDzkcMACpWpu7RzfNUaUp49o+X4McjLyQ4+uSIzDVHKs2d6lqR00XbKBDzq+nF63UYCp7xJYly8vkUSvKAsRGRJTExkxowZuLm5YWZmhr+/P+vWrStw+5iYGEaNGoWjoyMWFhYEBAQQHBycY92goCACAgKwsLDA0dGRUaNGEROjPvE5c+YMU6ZMwc/PD2tra1xcXOjYsSP79u0r1nXqTenZebgz9e9NDFuyiBl7t2NpX/ht+I7VqgIQc/0mADVat8DF24ubx08aZLguTZIeP+H0+o04VffEp0tHfYtTYthX9gDg/JbtBhlrVFcYm5kx9NcfaDiwP3fOnGPd1DfLxH0uKB3069ePVatWMWfOHHbt2kXjxo0ZMmQIgYGB+bZNSUmhQ4cOBAcHs3DhQrZt24aLiwtdu3bl4EH1lbeDBw/SrVs3XFxc2LZtGwsXLiQoKIgOHTqQkvJf6rC1a9dy8uRJxowZw7Zt21i6dCmmpqZ06NCB1atXF/k69Tp1sHF1wcbVpcjt3fx8MDI15fy27TQa0BeZXI6FrS0xN26Rnppm8Jsgbp04SXpKKg9v3GTZ0NE0HjKQer166FssndN89AhuHD3O/h9/JiUxkbZTJupbpFKDwtiYLrPeRJmWyvkt24m7fUf18CfQH7qwwZWkTW/nzp3s3buXwMBAhgzJzF/Zrl07bt++zcyZMxk0aBAKRe6JoJctW0ZoaCjHjh0jICBA1b5evXrMmjWLkJAQVd2ZM2fi7e3Nxo0bMXqxelWtWjVatGjB8uXLmTRpEgCzZs3im2++URune/fuNGjQgE8++YQRI0YU6VoNeoOQuY0N1VsEEH31OpFhl0hLTibi9Fk8mzUxeIUH4N22FZ7NM+1aMddusPvLb0hOTNRa/4W1sZSUTcbS3o5Rq5Zg6WDPsZVruLhjtw5HM0w8m2XeF4d+XUb0lWt6lkZg6GzZsgUrKysGDBigdnz06NHcv39fTWnl1r5mzZoqhQdgZGTEsGHDOHnyJJGRkQBERkZy6tQphg8frlJ4AM2bN8fb25stW7aojjk7O2cbR6FQ0LBhQ+7evVuk6wQDV3q3Tp7m6oFDOHtVx6VGDQCkjAyUaWk5BvE1NIzNzBi04Gte37KO5qOHo0xL4+r+Q/oWq0Qws7ZmxLKfsXFxZvuczzi6bJW+RSpVeLdthX1lD8KD9rN8xDjuXbiob5HKPbqy512/fp2wsDC1omn/Ki6hoaHUrl1bTREB1K1bV3U+v/ZZdXNqHxYWptZPbnXzGyc9PZ3Dhw/j4+OTZ728MFilF3/nLts+nIuxuRn953+KsZkpxmZmqlxl9y6UjdxtMrkcOw93bhw9AYCplaWeJSo57Dzcee3nhQAc/HkJz+If6Vmi0oNcoWDYb4toN20SklJZpnYsGyKZikrb/zLp06cPvr6+amXx4sValT8uLg57e/tsx7OOxcXlnQC6oO2z/uZWN79x5s6dy/Xr15kzZ06e9fLCIJVeQnQMgZNn8PxJAr0+ma1KuwNQr2d34L/NLWWB60eOEX31GvV6v0LNdm30LU6JYvRiV2+1po2LtNmpLGPl6EDTYYMxMjUl+qpY4iyrbN26ldDQULUyefLkXOsfOHCgwH6A58+fV7XLy4ZYEPtiYdrnVjevPpYuXcrnn3/O22+/Te/evfOVJzcMbg/8s0ePWDvlTRIeRPPK3A/xbtNS7fzT2MwnBZOXXCIMmecJCeyZ/x3GZma0fn2cvsUpcUJ3/wOAfzFijpZl5AoFlfzrcivkFMdW/k7zFwlqywL5xfYsTchkmUXbfQJ4eXkVajmvZs2aLFmypEB1K1fOnDA4ODjkOMuKj890i8lpZvYyBW3v4OAA5DxzjI+Pz3WcFStWMHHiRCZMmMDXX3+dpyz5YVBK796Fi+z8/CviIm7T8e3p1H2lm9r55KdPObD4NwDMbKz1IaLWOfzrchIeRNP1/XewdnLUtzglTuzNCAA8mzXRryClmF6fzmbtlBkc+OlXrJ2c8OvRVd8iCfRIxYoVGTeucA/Ifn5+rF27lvT0dDW73sWLmbZiX9+883f6+fmp6r6MZvusvxcvXqR79+7Z6uY0zooVKxg3bhwjR47kl19+KfauVoNZ3pQkiY0zPyD+zl2aDB2Ek2c1UpOS1OqEBP5JYmwc1VsEUL15Mz1Jql3ibt8BoFL9enqWRD9k+emlp5XNFEPawNLejtd+XoiZjTWHf1teItFaBOrIkemklBR9+/YlMTGRTZs2qR1ftWoVbm5uNG2ad3Skvn37Eh4errbLMz09nTVr1tC0aVPc3NwAcHd3p0mTJqxZswblSz64J06c4MqVK/Tr10+t35UrVzJu3DiGDRvG0qVLteLGYTBK72nMQ5LiH5GRns7p9ZtYO+VNFnbuxaW9/3n83z2fuXml77xPVFE9DBVlWho7P5vPrRMnAYj8N0zPEumHrBneha1/61mS0o2FrS2NhwzkceR9ghcuLhO7lwUlR7du3ejUqROTJk1iyZIl7N+/nwkTJrB7926++uorNR+9sWPHYmRkxO3bt1XHxowZg4+PDwMGDCAwMJCgoCAGDhzIlStXmD9/vtpY8+fPJzw8nAEDBhAUFERgYCADBw7E19eX0aNHq+pt2LCBsWPH4u/vz8SJEzl58iQnTpxQlZcd2QuDwSg9M2sr1SK3Rz0/2kyegKmVJds+/JiYiNuZ6/0vzht6FA9Jkvhr9mec37pddezYitVEXsx7O29ZpMYLm+3hJStE9JF8aDpsMB7+dTm19k/Ob91e5hRfac5CkGXT03YpSTZv3szw4cOZPXs2Xbt2JSQkhLVr1zJ06FC1ekqlEqVSqXZ/mZqaEhwcTLt27Zg2bRo9e/YkKiqKXbt20aaN+ua7tm3bsnPnTqKioujZsyfTpk2jXbt2BAcHY2r6n3/1jh07yMjI4OzZs7Ro0YKAgAC1EhUVVaTrlEmF+GaEhYXh6+vL+PWrcaruWaQBi0NsxG1ib0ZQq33mm3jj6HHWvzGTSvXrUbNta4K+/xGAN/ZuN+js4sdX/cH+H3/G0bOqyqYFme4LDfr3ofno4Vg7O+lPwBIk+so1lg0dTbWmjRmy6Ht9i1PqeZ6QwC/9XuP548fYuDjT43/vU62ZYebeK4hSe/kx6OGNmywZNILQ0NBi+XEVhqzfxJ/2/kYV76pa7fv21QimdppQotdTHihND0v54li1ikrhAVRuWB9LBwfunrugUngAj+5G6kM8rXAr5JRqM87LCs/K0QEpI4MzGzYTunOPnqQreWKuXQegdqf2epbEMDC3sWHoLwtpNOhVUpOS+POtd7kVckrfYgkEpQaD2r2pibGZGWMDV3Bmw2aMTEwws7HmaXQMbgaabyzyYigb3/kAE3Nz7Ct7EHUpXHUuMfa/Lb4125cfX70qjRuiMDFh97xvuXboKJ3eeQNbt4r6FqtUkJGenmPmDWev6nSeOYO6PbsROOkNNr79PsOXLsK1Vs0ijfP8SQLKtDSsHB2KK3KZRYYOXBa0253gBQY108sJKwd72rw+jhZjRtDw1b60nTLRIFPwRF0OZ+3Ut0CSGLTwa+p0zsyqYPGSQ7bC2JhXv52HfeVK+hKzxLFxcabf/E+RK+RcO3SEy//knKqkvLH/x5/5tl23PONuutaqyYDv55OelsbyYWP5pf9rXD9yrMC2PjmQGB3Dop79+aFbH44uXVmiWb7zy8cnLLyComDwSq8s8PDmLba89z/Sk1MY9MM3OHt7UbVJQ+yrVCY9JQW7Sh6ZqZh2bs7mjF8eqNGqBa9vzszrFX+n6IFmyxKXg/aR9vw5y4aOznODTyX/egxa8BV1e3bnceR9/pwxi9VjXuf5kwQSY+P455sFLHttNL/0G8zxlWtI19gRd/f8v6QmPQdJ4siyVQa/SUxXaD8E2cuByATaxPCmRGWMhOgY1oyfSnJiIl1mvUnFOrVZ9tpI4u/cU9VJfZaEd7vWBr05p7jE3crcHm3tkj3yenmkx+wP+GPiNACePIjOc8nXM6ApngFN8e/Tk8DJM4i8GMaCTq9g5+FG/J17WDs7kaHMYP9Pv3Bp7z5e/fYLKrhmJmbOyupRoaIrT6IeEH/nrkhllAO6jMgi0C5C6emZ4yvX8PzJExoM6Mu9Cxc5sfoPHkdm34qbFVO0vPLoXubmpKLapcoaVRrWZ/rurTx9GFtgG6dHPb//t3fncTHnfwDHX9NMTaVTqZQrUlGSM8mRo3UvIuQmt59dezh2Lbt22bXWWuyybrKEdS+bq9xnbgpR5MiRCkm6+/0Rs6UozDRNfZ6/x/dhmu/1/v526j3f7+fzeX/w8BvAwQWLycrM5HH0fby+HEv9nt3ITE/n4IIlnPgrgPkdu/NZcCBSqRan1m8E4On9BwAs9OlLQ18fdA0NMS5vhY1zTcwqV0KiJR4aCZqhRCS9tOQUTqxag7F1eWp6tUQm15y59O6cvwDA2Q3Z80hp6+nReHB/zm3ayounCcgNDGg2Ygh2TRqrM0y1e9WJIjE2Vs2RFB8G5uYYmL9babrGg/rh2MoTqbY2coMy6BkZAdntxakv/qtwlPbiBf6jxub7ODlk7YZcP+saGWLj7IRDS09qdWxLalIS6SmpGJib5aqgoUm1NN+VKh5HisebqlEikt71Q0c4vHg5ADu+m86gv5ZSvkbx7cH57FEsof/uQm5ggE6Z7KmC9Mua0ufPuZhVqYyWVEpmWjon/gogJTGRBr26qzli9Xv15UBHX1/NkWg2iUSSa1aSnOw9m3F241Zkch3++XZarvY79369qeLeECNLC7R1dUlOSCDu1m2iL4URfSmMqFNniDx2gsBpMxT7mFe1xaVjOyrWcSExNg5Hz2ZFOhu4IOSnRCS9ao0b4dDSk/B9BwBY0W8IYwK3YGhRjqQnTzi9fhN3L1zEytGBxoP6oWuonmLUWZmZnP57Mwf/XEzq8+xv1VUa1qfZiCHU6thW0Y4CYFTeEgCHlp7qCLXYeTVVVPWmHmqOpOSq2qghXWf8wKl1G7h95hxWjvYYl7ci5flzWn06KtedmZGlBRbV7ajROnv8ZHJiIiFr1nNkyQrFNomxseyb99+8b30XzqNK/bpFdTlFSoLyewWKrweqUSKSntygDN1mTiNs1162fTMVAIlW9kfm2Iq/CFmzHoCokDOE7txDh8kTMbKy5NnDGO5eDCU1KYmylSqib2qKWZVKmNtWUfo30uRnzwicPpOrQfsxLm9F+28mEDxnPrE3buI7/7dc53sYfp29v87DtGIF2n09TqlxaKoKLs7cPBFCwKixtJ34BeU1dCxmcVejdQtqtG7BwT+XKGard+vds8D9dA0MaDbcj9qdOxBzPZLIYyeIvRHF7TPnFNu8ahcUBHUqEUnvlZptWgNZlK1USdHWUc/Hm1NrN5CVmUn5mo7cv3yV9Z98+dbjOLT0xLGVJ48iItEzNsLSwR7DcuUwtrZCpqPzznHFRNxgy1dTiLsZhUOL5nT6/ht09PS4sO1fokJOk5GWluu4QXP+ICsjgy4/foe+ifE7n68k8vAbwIuEBE6v28iK/kNoO/FL6nbvou6wSqxmw/14En2PtORkmgz3K3T7W3pKKhs+m6D42bSCDSY21lR1b4hT+zYlqh0vp1eTsir7mILylaikJ5FIcGr7Ua73TCvYMGzDahZ1642hRTmajRhC/O07JD1+gp6xMRVq10LP2Ij4W7dJevKUE6sCCN93QPGoNKfyNR1p8ckodPT0KFfNFm1dXcW6rKwsnsfFk5L4nLKVsweP3zl/kYv//Eto4G4yMzNp+eko3Pr6IpFISHryhNtnz1OprmueRJpw/wFmVSrnapc8u2kr+39fyEdffkqt1+YRLA20pFI++nIsphUqsHfWHK4E7RNJT4UkWlp0nvbtO+8XeeyE4nXvP+dSpUE9ZYZVbElQ/uNIkfJUo0QlvTcxq1yJinVqc/3wMZoMGZTvXHumFWwAcGzVgpsnQkhLfkE5u2okPX5CTEQkZzds4f7lqwSM+ATI7u1mVcOBspUq8vTefe5fCSftxQsALOztyEzPIPbGTQBsXJzx+uJTrJ1qKM53duNWMlJTce3SKU8sBhbliL4YyuO70Yq4nsU8IiUxke3fTaeCq4vi/dKmQa/uBM/5g4fXrpOekqJRPXVLg2qNGxH06zwAnt57vyr4gqBKpSLpAXgM7s+6MV9w6/RZrBzt37idtq4ce8+mud6r0qAeDXr5cPfCRe5fCSf1edLL19eIvhiKjr4e1k41KFu5EmRlEbZ7LxKJFg18e+DapWO+M1K8enTx4mlCnnWNB/Rh/djx/P3ZBAb/tQxtXTnO7dso2lj+mfIDVRs15PHdaJoN98PExvpD/q/ROGUrVSD2RhTxd+5iYVdN3eEIOZhVroSVoz0Prl7D2rnmG+uDljTZg9OV/XhTqYcTXir5n8aXLB3t0dbV5dzmrVRv5oG2nh6G5Qo/xkkikVDRtTYVXXPPYP4iIQG5vn6uX2yvLz9FIpEg1dZ+4/Hq9fDmwj87CJ7zBzpl9HFu66U4RjUPdzwG9+foMn9unDiJg2czjK0sKWNmxvO4OKIvhhJ9MXtuvdDA3dTz8cbDr/87j9kqCqoYm9VsxFA2j5/Erp9m0XPer8jLiGEMxYmVowMPrl5jSc/+APScNyvfpyvvKr/ekSW1jVBQnVJTRqGMqSnNRw8j/vZdFnr78nu7LizrM5i7Fy590HH1jIzyfJOV6ei8NeEB6Boa4v3zNGQ6Ouz4bjobv/w6V93DGq1bALB/3gLObfmHP719eR6XPdNCDa9WdP91Bs1GDKFs5Uqc2bCZhd6+3Au9/EHXoikcWzbHrZ8vdy9cwn/QMM5v3UFmerq6wxJeqtOtc66ftfX01BRJ0ZGoaBGUr9QkPYCGvj1w6+eLiU15HFu3IC7qFhvHfU1qUhIhAX+z/bvpRJ06U2TxWDk6MOqfDTi3b0PEkWMs7tGPXTNmcfPkKSyq2+E5ejjxt++yc/pMnj2MAbJrIHb58TvsmzehyZCBDFu/CpdO7UlNesGVoH1FFru6tfxkFHW6dSH2RhSB02YQNOcPdYckvHR40XLF664zvqdSndpv2VoQilapSnoArT4dzahtG/Ce8QPNRw4hKf4xi3v0I2j2PC7t2Mna0Z8RdfpskcWjZ2xEp+8m0eJ/I0h5nsTZjVtZO/oz1n86jvI1HRmwYiHNRw1TbP/0/gPmtO7A3ZePN5MTnxNx5BgSqZSqSniEpCkkEgntvvoS3/m/YWJjzel1GzmydGWhp80RVCfiyDHF61c1U0u8l0MWlLmIRj3VKHVJL6eabbwwtLQg4cFDAOr36p5dNWXdhgL2VC6JlhbuA/sydu92hm8KwKGlJzeOn2Tt6M+IDr1Mo36+VMzxbfnF0wRW+Y1k1eCRrOg/hKTHT+jwzQRsG9Yv0riLA1u3BvScNwtdQwMOLVzK7pmz80yPIxSdawePKF5LtLSoXK/OW7dPT0kh5nqExn9ZEY83NUepTnqG5cwZtXU93Wb9iEOL5pxel11R/tqBw0SHhhX5L+KruojdZk5j5JZ1mNlWIXjOfB5cDcdjcHanAC2plM7Tv6NqowbE3b5DwsMY6vfqrjFj91Qx8ahZ5UoMWLkYmVzO2Q1bmOnRitkt2/HPlB+IvhT61vnmBOXJTE8ncNqM7PqoL+9UokLOkJ6aCuT9b58UF8+mcZNY6juQv/xG8fxR7Fsnqc1vEllVT2QrlDylpvfmm0i1tXHwbIaNsxPh+w8q3vcfOJxqHu50mjoJfROTIo/LxMaa1p/9j/WffIn/oBEAaMlk9Jz7C7ZuDXBqkz2zelZWlqjcQHbi+9+/m7m0I5C7F8NIePCQ0MDdhAbupmylCnT58fu3DlURPlxacgpJj5/g0qk99Xy82f7dtOxyZsv9kUi0MLEuz8fff4O+iTFHV6zm/Lb/OiDdvXiJZf386PjNRO5dvkKZsqbYN29a6B7WmenpnNu6XZWX91ZilgXNUeqT3isG5maM2LKOwGk/o2dsjFRbxuXdQQSMGovf6uVqmS+saqOGGFuXVwzy7frTVGzdGuTaRiS8/+ibGOPW1xe3lz/fvRhK+L4DnFq7gZUDhlK1sRsVXGrh2vVjUd5NBWRyHbSkUp7cu0/5mo4M/msZZzZs4cbxk6SnphJ9KYxlff0U21dwcca1SyecPmpF+IHD7PhhBuvG/ldrdueMX6ng4kxDX5/swtZv+KxnpKWx+etvCd9/SOXXKGg+kfRyKFuxAn0X/a74Wc/YmDN/byLy2EnsmrgXeTwSLS38AlZwcvU6nNp6YV6lcpHHoMkquDhTwcUZp7Ze7Jk5hxvHThJx+BgnV6/Fw28g9Xy6Fji0RCg8qbY2jq08ubwnmJiISCzsquHWtxdufXsBEBN+nWP+q8nKzMS1SyequjVQfGlzfvn5PrryL8pWrIClvR1X9x3i+pFjbP7qW6z812DbqCGxkTdJT03FfVA/gn/7Az1jQ9KSXhAdeplqHo2IPHribSGqjJYke1H2MQXlk2S9Q8NVWFgYzs7ODF2/Kt8qIyVNwoOHLOzmi66hIYNXL1Pq4O+CBm2X5Ak31SU9JYWr+w6y/4+FPHsYQ8U6tfH57Wd0DQzUHVqJcS/0MisHDqP2xx3oMOWrXOve5zP//PFjDi9eTmjgbsV0XDnJ5HLSU1Ko2aY17gP7ssx3IKGhoTg5OX3opRTKq7+J/gdWYOtgq9Rj3wy/yQDPQUV6PaWBaPt9CyMrSzpMnkhibBy7ZvxK8rNn6g5J+AAyuRzndh8xYtNaXLt04s65CxxbvkrdYZUo1s41qeBSi9Cde0hOTPzg45UxNaXthC8Yu3cHQ1Yvp//S+YpiEB0nT+TLQ3v4bF8gXaZ/h5YamiBekajof4LyicebBajZxouLO3Zx7cBhZh9sj32zJtTp1hlbtwZoSaXqDk94D9q6clp/8QkRR45x4q+1lK/pqJgMVfhwTu28uHvxElEnT+PYylMpx5Tp6Cg6In0R9C9aMhnaunIyya6KVByI5nXNIO70CiCRSGj39Tga+PagqntDrh06wvpPvmT+xz4cWLCYmIgbGj/GqDTS0dOj/7I/kZcpw+HFKwreQSi0CrVrARATEamS48sNyqCtK2bXEN6PuNMrBBPr8nh9kT2l0JPoe1zYHsjF7YEcW76KY8tXUbFObfrM/y3XvHgFtcF96Hrhw5nYWFO9mQehgbt5kZBQbO4YNN2reSZfr4dakn8nxJAFzSHu9N6RiY01zUcMYfQ/G+j951wcW3ly59wF1n06jjsfWLxaKHqmFSsA8PTeA6UdM/LocbZN/p7A6TOJv31HacfVFK96xOY3bZYgqJu403tPWlIpVRrUo0LtWjy5d5+oU2eIOnUGl47taDfxC6Q5ZlUXii/py04RibGxgHIGr+/4/ieex8UDcOP4SUZv31iqxlPqGhm9nMZrG2kvkvn4h8nqDknlVFEqsxR9ZIqUuNP7QDIdHQauWMTQgBVUa+zGxR07WTP6M6X0XBNUz6FFcyRaWhxb8ZfSypXZebijX9YUgDJly5aqhAdw9/wF9ExNsKrhQOjO3Tx//FjdIamc6L2pOcSdnhJoyWSUs69Ojzm/EDx3PiFr1nNy9Tqajxii7tCEAphVqUT15k24tv8QcbfvKKUAQIcpX5EYG0dacjJGVpZKiFKzrP80u6pKpTouPLgSztPo+4SsWU9Gahqe/xuuaPt+12/cxblNT9Ac4k5PiSRaWrT8ZBRlzMy4sidI9OrUENZONQC4eeKU0v6bGZibYVrBRvH4tDQyscluL109/H8cX7makID1zO/UnaQnT9UcmfK9eryp7EVQPpH0lExLKsWxlSfxt+8SezNK3eEIhVCna2cMzM3YO2sOx/1XqzscjZaRlqZ47djak8oN6lGmbFmaDB0EwPO4eFKT8lZWEYSiIpKeCrwap/Qw/LqaIxEKQ8/YiAErF6FvasLRpf6E7dqr7pA0Vs7C7CnPEunz51xGb99Is+F+tP5sDABBs+flGc6g6bLnvxMteppAJD0VeNUuVBq7q2sqYysr2k78krTkZLZ9M5UHV6+pOySNlLNK0V9DRhE0Zz7Xj4bwKOouTu0/ouZHrbh24DCbxn9DclJSvnPkvVryHDufRRDelfjcqMCrRzzaYtiCRnFs5UmvP2YDELJmvWiTfU9tJ36peB2yei0bPv2cJd17MderE5f3BANw/dARLv27S10hKp2EN09++76LuNNTDZH0VCDlZZuFvEwZNUcivKvK9epgXrUKoTt3czX4QJ71zx7FlrhHc8pWp1tnuv0ynerNm711O4cWzYsoItWTSCQqWQTlE0lPBTJf3ulJtUtvzz1NJdXWpveCOUh1dNg7a87LQevZrh86wh8dvPEfPIL4O3fVGGXxJpFIcGjRHO9ffmLsvj0M2RDAhJCjfL5/J91+mY551ewpeNaN+ZxHkTfUHK1Q2oikpwKvnopdDT5AwoOH6g1GeGcG5uaUq2ZLYmwcz2Kyk15mejrbv51GVmYm96+Es3rY/3geX/IHXX8IqVYW+kb6WNhWQqqVha6hIQ4tmjN49TKaDB1E7I0oAkaN5cm9+/nuX1AbX/EiUdEiKJtIeipQwbUWeiYmRB47wfzOPdg47mvSkpPVHZZQSImxsYqOLK+ms9GSyTAoVw5tPT3q9+xG4qNYjiwRszO8D5mODs2G+9Hlx6k8j3/M+k++LJFj94TiSSQ9FdA1MKD7rB+zxyZlZXFt/yGu7N3HjRMhZIj2oGJPS6aNgVlZAAKnzyQzIwMAry8/Je3FC+KibgOio9KHcmzlSevPxxAXdYv1n3xBSuJzdYf03sR9nuYQjU4qUtHVhYquLjyJvkdo4G52TP0RgDJmZanduSONB/ZFR19fzVEK+dE3MWbYhtVsnfQdF7btIDXpBa5dO1G+hgMyuZybJ0LQNTTAtWsndYeq8Rr69iA54RlHlqxgld9Imo3ww75501zj/QRBmUTSU7Fa7dty/eARylWrim2jBlz6dxfHlq8ibNdeGvj6EH0xjCfR90h4GIOpjTU127TGtKINlerWERNlqpGuoSE+v85gzfBPuLI3mCt7g3Fs5UnvhXOJu3mLinVqU/bltETCh2k6bDAAx/3XsGncJCyqV6N6sybY1HLCwq4ahpYWxb4noyp6Wxb3a9ZUIumpmG2jBowN/hctqRSJREKTIQM5s2EL+3//k6Bf5wFQxswMYysLHoRf4+7F7Dn59Mua0qCXDw16dRd3hGoi1damz6J53Dp9lnNbtnM1+ADXDh5Bqq2NXZPG2Hs2xdLeDnPbKuoOVaNJJBKaDfejbveunFi1hnOb/+HoMn/Fen1TEyrXr0dFFycquNTCytE+1yD4rKwsYq5H8ChCnT1BVfFAUiQ9VZBkvcMI3LCwMJydnRm6fhXlqlVVZVwlXmzULbZMmIzcoAz9l/0JQPKzZ0RfDCUm4gZnNmwm4cFDypiZ8dG4sdRo3ULNEZdumRkZXAnaT+i/u7hz4SKpz/+rH9l4UD/qeHdGz8QYHT09NUZZMmSkpxNzPYL7YVd5FHmDOxcuEnMtQrFe19CAKvXrYe/ZFIdWnmz5agoRh48p1oeGhuLk5FQksb76m7jhSADVHJX7NzHy6g18mvQu0uspDUTSU7OszMx82y8y0tO5sHUHhxYtJenJUzpO+QqXTu3VEKHwuqysLB5FRPIo8iYnV69V9PSUamvT8/dfqVK/rpojLHleJCTwIOwKt89dICrkNPcuX801/6FUW5uq7g25fuioWpLeRhUlve4i6SmdaC1Wszc12EtlMup278JA/yUYl7dix/c/cXXfwSKOTvlUXTuxKGozSiQSLKrb4dTWi56//4pDS08gu/xcaAkqrVWc6BkZYevuRvNRwxiwcjFj9+7AuX0bxfqMtDSuHzqqxggFTSGSXjFnYl2ePgvnoW9qwvYpP/D4brS6QxJyePbwETeOnQCyv8BYO9VUc0Slg56xER9/P5lhG9cwaNVSXLuouyetKuZYEG16qiCSngYwsS7Px99PJi05mVNrN6g7HOGlrMxMtk76jsyMDPosnMe4I0HU7d5F3WGVKuZVKlO+piPtv5nAoFXL1B2OoAFE0tMQtm4NsLC349zmbVwJ2g9AyvMkok6d4cHVcJ4/fixmBShit8+eJ/7WbRr27kHl+nWR6eioO6RSTSbXVt/JJahg6nT1XU5JJpKehpBIJHz8/WR0jYzY8tUUQtas59fmHxEw8lOW9/Vjrlcn5rXtzI6pPxITEanucIHs3qjpKSm53nu9nuKHTr/yuqKs1/hqkuCqjRup+ExCcVcSKrIkJiYyduxYrK2t0dXVxdXVlXXr1hV6/5iYGAYOHIi5uTn6+vq4u7sTHByc77ZBQUG4u7ujr6+Pubk5AwcOJCYm5q3HDwoKUoyHjM1RCP5diaSnQSzsqtF/2QJMbawJ+u13ILsUVrMRQ3Dt2gl9ExMubg9kWe9BBE7/mWeP3v+D8aEOLVrGb607Mrtle85u3Kq2OFTpxbNnAHkSuyBoIm9vb/z9/fn222/ZuXMnDRo0wNfXl4CAgAL3TUlJoVWrVgQHBzN37ly2bduGpaUlbdu25eDB3B3wDh48SLt27bC0tGTbtm3MnTuXoKAgWrVqRcobfpcSExMZOnQo1tbWH3ydYnC6hjGtYEP/FQs5FfA3esZG1O7SCV0DA8X6+1euEjT7d85v2U7Yzr18/MPkIp+37O6FSxxZsgITG2uysrLYNWMWFVxdsLArWcNcXDq248SqAAKnz6TN+M+xb95E3SEJaqPZg9MDAwPZu3cvAQEB+Pr6AtCiRQtu3brFuHHj6NmzJ9IcBQFet2zZMkJDQzl27Bju7u6K/WvXrs348eM5efKkYttx48Zhb2/Pxo0bkcmyU5CtrS0eHh4sX76ckSNH5jn+xIkTMTU1pUOHDkybNu2DrlXc6WmgMqameI4ejltf31wJD6B8DUf6Lv4Dn9kz0Cmjz7ZvphIdGlak8UUez/6Ad5n+He2+HgdAVMjpIo2hKJhWsKH9pPG8ePKEjV9MJPJlL05B0DRbtmzBwMAAHx+fXO8PGjSIe/fu5Upab9rfwcFBkfAAZDIZffv2JSQkhOjo7F7n0dHRnDp1in79+ikSHkDjxo2xt7dny5YteY59+PBhFi9ezNKlS9+aeAtLJL0SSCKRUL1ZE3r8NhOQsG3SVNKSi+4RXMqzRAAMLS0oY2oKQGpS0tt20Vi1OrSl35IFaOvqsmPqj/n+/5wYG0f87TtqiE4oKsofsPBq2AJEREQQFhaWaymo/etdhYaGUqNGjVyJCMDFxUWxvqD9X22b3/5hYWG5jvOmbV8/z4sXL/Dz82Ps2LHUraucog8i6ZVg5Ws60nzkUJ5E3+PospVFdt7kl21duob/3YWmp6bmu+3rHU/edSmKwegFKV/TkSZDBvI8Lp51Yz7n+uHsQdLJiYkcmL+Ihd18WditN4HTfhY9bEsoVXbe7NKlC87OzrmWBQsWKDX+uLg4ypYtm+f9V+/FxcUpZf9X/75p29fPM3nyZDIyMpg6dWohrqJwRNIr4Rr06o6lgz0nVgUQU0QFeeNv3UbXyBCZXM61Q0cAKFe1SpGcW13qdu9K9WZNuHvhEhs+n8ijGzeJOHSUYyv+IvV5EmXKmnJ+63ZWDR6hmI9PEApj69athIaG5lpGjRr1xu0PHDig6OVY0HL+/HnFfm+b1aEwMz68y/5v2jbn+yEhIcyZM4dFixahp8SatqIjSwmnJZPRftJ4VgwYyr65f9Dr99kqO9ed8xeIvhjG/Svh2DdvyrUDhwhZsx79sqbUaN1SZectDuQGZfCZPYObJ06x9n+fsfHzibQcOxoAC3s7+i2eT/Dc+VzYtoOVA4biM2cmlerUVnPUgvKoriOLnZ3dO9XedHBwYMmSJYXatlKlSgCYmZnlezcXHx8P5H9nllNh9zczMwPyv3OMj4/PdZ7Bgwfj7e1N/fr1efLkCQDJyckAJCQkIJfLMTQ0fGtc+RFJrxQoX9MRpzatCdu1l7sXQ6ng4qz0c5z+exN7Zv4GgKFFOSrVq8PmiVOQ6+vR6btJaMlKx0fNtlED2kz8gr2z5rJt0lSMrCyJuRZBTEQk7SeNp4ZXSzaN+5otEyczZK0/ZcqaqjtkoYQpX748Q4YMead9atWqxdq1a0lPT8/VrnfpUvZUZ87Ob/+bUatWLcW2Ob2+/6t/L126RPv27fNsm/M8r9ovN2zIW4WqWrVq1K5dO9edamGJx5ulRP1e3QEICVhfqHFlSU+ecmrdBtaN+ZxVQ0axvJ8f/oOGEzj9Z85t3sbTBw9ybX940XIAKtapja1bA4Ln/IGWVEr9Xj7E3ogiMTb/NgFlD04vDup170qP334mPSWFzIwMAEJ37gHAtmF92k74gudx8ez6aRYpz0tmB5/SRpUdWYpC165dSUxMZNOmTbne9/f3x9raGjc3twL3v3r1aq5enunp6axevRo3NzfF+DobGxsaNmzI6tWryXj5uwFw4sQJwsPD8fb2Vry3f//+PMuAAQOA7Ee+S5cufa9rLR1fvwWsa9agcv26XA3aT/TFUDwGD6B25w5ItfOWbkpLTmHV4OHE376LVEcHuUEZtOVy0pKTib4Uxvkt25FIpTi1aU3TYYMxLm/Fi6dPAbhz7gJ3zl3AtGIFHt+5y5ElKwC4GXKKXvN+LdJrVqcKrtm907RezqKR84uGU7uPuLw3mPD9B7l/+QqOrVvg4TcAPSMjtcQqCO3atcPLy4uRI0eSkJCAnZ0da9euZdeuXaxevTrXUAE/Pz/8/f2JjIykcuXKQPajyPnz5+Pj48OMGTOwsLBgwYIFhIeHExQUlOtcP//8M15eXvj4+DBq1ChiYmKYOHEizs7ODBo0SLGdp6dnnjgPHDgAgIeHB+bm5u91rSLplRISLS16zPmFc5u2cmzlX+yaMYuLOwLpt3QB0tcePYasWUf87bu4D+yLh9+AXBOjPnsUS/TFUM5s2Exo4G7C9x2k2Qi/XPvLDQzyPM5s4jdQZddW3CTGxjGvbWcA7D2bcSVoP3cv/PfoRyKR4PPrDM5s3MKemb8RsmY9WZmZeH3xqbpCFj6QZg9Nz7Z582YmTZrElClTiI+Px9HRkbVr19KrV69c22VkZJCRkZGrJ7JcLic4OJjx48czZswYkpKScHV1ZefOnTRvnrs4hqenJ4GBgUyZMoVOnTqhr69Px44d+eWXX5DL5Sq/TjGJbCmUmpRE0G9/cH7LPzQfORQPvwGKdVeDD7Dtm6kYWVowbOOaPAkxp6hTZ/j3+594ej/7UWeNj1pxZe8+ePmRkkilZGVkUK5aVfzWLM+3XU/ZjyhVXW+zMP79YQYXtu1ASyZj/NFgNn7xFTeOn2TiybzzISY9ecqy3gN5FvMIu6aN6TD5K9HO954eRd5gSc/+aplEdtuxjdjVqKbUY0dciaRz4+5iElklK67NIoIK6ejr89G4sZjZVuHI0pUc/HMJT+7dJzEuns0TvgHAe+a0tyY8gCoN6jFkrT9Nhw2mnk9X4m/dUSQ8gHo+3jTq58ujyBscWrQs3zFqyi4Qre42v6ysLEIDdwMwYvNatKRStGRSMjMyFLVQc8ZnYGJMn/m/YV61ChGHj/F7+66c3biVjPR0NUQvCCWfSHqllExHh84/TMbA3Iyjy/xZ8LEPf3TIbkQuZ1cVS/vqhTqO3KAMTYYOIvzAYR6GX8u17vS6DUh1dLBytOfYir/YPXN2iR+cLZFIMLPNbuf4Z/L3JMbFY2hhAaBo33yduW0Vhv29moa9e5KZkcGuGbNY3L2P4g5a0Aya2omltBFJrxSzcnRg5Nb19JgzE5dO7ano6kKnqd/Qf+m7VXuQSCS4dGqPVj518Y4u86fJ0EFUrl+Xsxu2cGHbv8oKv9jqNnM6rl0/zh6o/tkEmg4bjJ6xMee37SBw+kxFxZrXtf58DKO3b8DesymP70ZzfNWaIo5cEEo+0ZGllNOSSrFr0hi7Jo0/6Dieo4bRbNhgYiIiuXnyNNcOHCL6Una9vaPL/On1+2yW9R7I3llzsHFxolxVW2WEXyy9KkSto6dHSMB67oVept+yBQT+MIPzW/7h2cOHdJn2bb69NY2trGjUvw/XDhzGyNJCDdEL70MVd2fibk81xJ2eoDRaMhlWjg64D+jDgBWLGLhyMVUbu+HY0hM9YyM+nvYtacnJBP4w443HKMpJYFWtducOQHbHlqfR9+i3dAH2nk2JPHaSpX39eBARme91JsU/BsDgPbtkC4LwZiLpCSpj7VyTXvN+xX1gXwAq1amNnrERKc+fqzmyomFe1Zb6PbuTkviM9WPHc/3QUbx/nkabiV/wLOYRq/xG8igybz1UXaPs0krJTxOKOmRBKPFE0hOKVFampt+/FZ5EIuGjcWMZsm4VesbGBE6bAVlZ1OvelZ5zfyE9OYW/P5uQpwB1RloaAFraovVBUxS2wPO7LoLyiaQnFCkTG2tib0Sx//c/FSW6SrqyFSvQoFd3kh4/Ier0WQBs3bJrdD69d5+dP/2Sa/un9x8CYGJdvshjFYSSTiQ9oUj1mDMTm1pOHPdfw+aJkwtVB/RdFIc2wfzGCtbwyp5lYveMX3kYfp3E2Fgu/bsLAANzs1z7p77Irscp6nJqEomKFkHZxPMToUgZmJvTZ+E8dnz/E5d3B/Fb645o6+nSYvRwanfuqO7wVMasciXafvUle2b+xrK+gxW1TBv26UnLMSNzbWvr1gAtmYxtk77j+Mq/qPlRa/RNTYm9eRPXrh9jXqWymq5CEDSfSHpCkZPJ5Xz8/WSsa9bg+uGj3DpzjuC587Ft1LBEd9Ov260L1k41OLhgCc8fP6aJ30DsPZvm2a5cVVv81iwnZM16rh08zIH5ixTrQgL+ZvT2DRhbWRVl6EIBSkLtzdJCJD1BLbSkUhr26UnDPj3Z/8dCjq9czZ9deuLapRNNhw9G38RE3SGqhJWjAz3nzSpwu3LVqtJhyle0TfuSW6fPEnM9kn3zFkBWFrGRN0XSE4T3JNr0BLXzHD2cnnN/waK6HWc2bGZZ70HcPnseyNtGV9BSFAqq76nMmKTa2lR1d6Nej27oGRtjaV+dah7uH3hUQdk0fT690kQkPUHtJBIJ1TzcGei/mI7fTSL5WSJrRnxCSMDfJb5WZ2Fd3P4vL54+xamtl7pDEfIjkahmEZROJD2h2JBIJLh0bMfgv5ZRtlJFgmbPY/fM2aSnpqo7NLVLTXoBQMW6tdUciSBoNpH0hGLHrEol+i//U1GkeuXAYcRcj1B3WGqlGLCeT1FvQf3EgAXNIZKeUCzpGRnh+8dsmg4bzKPImyzvN4Sg335/4wwFJZ2+cXZx6qt795H1MgEKgvDuRNITii0tmYymwwYzYPlCLKpXI2TNehZ178OVoP3qDq3IObVpjVnlShxfFcDs1h1JePBQ3SEJrxGdWDSDSHpCsWftVINB/kvoMHkimenpbJk4mStB+9QdVpHSMzJiaED2JLQpz59z7eARNUck5CYecGoKkfQEjSDR0qJ25474rVlBGTMztn87nQdXw9UdVpGSyeW0+N9wAILn/EHk0eNqjkgQNI9IeoJGMbKypPuvP5KVlcXKgcP5o4M3v7Vqz+8dvDm35Z8iiUGd9T0bD+iLz6wf0daVEzh9Zqkp2l3ciRELmkMkPUHj2Dg70W3mNGxcnCljZka5alVJTnhG0Ozf2TVjFn926cmd8xfVHaZKSCQSHDybUce7M89iHhFzPVLdIQmCRhFlyASNZNekMXZNGit+Dt9/kC0Tp3B241YATq5eS0VXF8X6jPR0tLS0kGiVjO95N0NOAxAXFYWVo72aoxFE9U3NUTL+AgilnkOL5gz9+y+8Z05HIpVy7cBh9v/+J2nJKZzZsJlfm7dhbtvOnPgrgLTkZHWH+8Ge3nsAgFmVKuoNRBA0jEh6QolhVrkSji2bM3jVUqxqOHDcfw2/t+vM7p9nIzcwQKqtzb65C1jo7Ut0aJi6w30nOdsQM7KykOloI9HSwqyCjfglLgZE7U3NIX5fhBLH0qE6A1csotXY/yGTy7Gp5US/JX8wcvNaWn/xCS+eJrBm+BhunTmn7lDfi0Qiwa1PL7IyM7m4Y6e6wxEQSU+TiKQnlEhaMhlufXvxya5tDFixiLKVKiKTy2no24O+i35HSyZj8/hJxN+5q+5Q34tT29YARIddVnMkgqBZRNITSh1r55p0mT6V5GeJbPhsgqKupSbRNTBASyYj8tgJnj2KVXc4ghibrjFE0hNKJbsm7nj4DSAu6hahO/eoO5x3pq2rS6sxI3nxNIHz23aoOxxB0Bgi6QmlVsM+PZGXKcPxlas1bpB3JmDfqjkAT+5n9+RMfvaMTeMmETDqU148TVBjdKWPaNPTHCLpCaWWroEBdbw7E3/7DvdCNa9tzMjSEgt7O8J27eVR5A3unL9I+P6DRIWc4fZZzeykIwiqJpKeUKrZt2gGwM2Tp9QcybuTSCS0+mQ06SkpLO/rx6V/dynW6ZQpo8bISp/sJjhxn6cJREUWoVSzqF4NgLhbt9UcyfuxbdQAjyEDObp0JVYO9lSuVweDcuZUaVAvz7Z3zl/kxdMEqjfzIGTNeh5F3sDDbwCmFWzUEHkJJLKURhBJTyjVdPT0KFupItcOHObvz8YjNzDAfUBfLOyqqju0XF5/JJOz0LWugQEAWVlZ1PPxzrNv7M0owvcf4uCCxQDoGRsp2vzsPZuJpCeUKuLxplDqdfxuEpDFjeMhhO3cw/I+g7h1+qy6wyqUuFu3ObBgMTK5DrXat8mzPiXxOUt6DVAkPECR8GxqOVG9mUeRxVqyqeLhprh1VAWR9IRSr4KLM2P37mD8kSAGrFiIVEeHbZO/5/HdaHWHVqCY65FkpKbi2uVjjKws86zX1pUj09EB4LPgQL4+fYQWY0YC4Dl6OBIxf41QyoikJwiAjr4+WjIZNrWcaf/NBJ7HxbPKbxTP4x+rO7S3qlTXFYD0lJR812vJZOgZG1HOrhrpKSks9R3A/t//BODA/EVFFWaJJ4YsaA6R9AThNU5tWtN+0niex8URsmadusMB3jxx7ZkNmwHQMzHOd79rB4+Q8OAhWlIp1w8fzTX/XvSlMLKyslQWc2kiCrJoDpH0BCEfLp3aY17VljMbNpOcmKjucPL15N59jixZgZZMRqP+vfOsT3mexL/f/4iukSG12rdh/7w/kRsY0GHKV0D2LPTi8aZQ2oikJwj5kGhpUb9HN1KTXnDj2El1h5MvI4ty6BoaYGFXFT0jozzrQwLW8+JpAu79+3B+23bSUlLoNutHan/cgc8P7GLgysX5HFV4LxKJahZB6UTSE4Q3eNWz8frho2qOJH9aMhl2TT14cPUad85fyLM+fN8BpNrahB84ROyNKJqPHEqV+nWB7GEOBuZmRR2yIKidSHqC8AaGFuWwdLDnxrETRT4Tg9Zry5t4+A0AiYTT6zfnej/1xQvibt0hIy2Ne6GXsW3UMN9HoIJyiI4smkMkPUF4C6c2rXnxNIGQgL/VHUq+jCwtkEgkPAy/luv9+2FXyEhNRVtPD4B6Pt6i/U4QEElPEN6qfs9umFaswJElK0hNSlJ3OHlIJBJ09PSQaOX+VT635R8A0l68AMA4nzF8gvKI3puaQyQ9QXgLmVxOHe+PSUtO5v7lq+oOJw+ZXE45u6rERd1iae+BpCUnA3Dn3H9tfG79fLF0qK6uEEsH0ZFFY4ikJwgFsHaqCUDE0eNFds43jcvLT7MRQwCIuRbBvz/M4ErQfnT09RXrbd0aqCpMQdA4IukJQgFsXJyxqF6NkIC/i+XdXs4ZFWRyOVsmTiYu6hYVXV3QkkoxMDdXY3Slg5haSHOIpCcIBZDKZHSa+g1ZGRmc3bhF3eHky7VLJwDKVvxvxoSPxn3G/wK3FLsZIwRBnUTSE4RCsLSvjrxMGZ7cu6/uUPLVoHcPDMzNODB/MUZWlki1tdHW08XArKy6Qys1RCcWzSCSniAUklF5K26fu0BMxA11h5JHuaq2DPprGeVr1iDhwUMy0tK4fugIWZkFtQgKQukikp4gFJJMR5usjAyW9upPwoOH6g4nD8Ny5gxatUTRsSV4znxCA3fnu23Cwxh+aerFj/WbcHlvcKHPceKvAH7v4M3tHL1DBTE4XZOIpCcIhZTzrik6NEyNkbydx+D+dPlpKgBXgvfnu03S4yeKMXxbv/qWe2FXCjzuw/Dr7Ju7gGcPY/jnm6nKC7gkKAED9RITExk7dizW1tbo6uri6urKunWFn2UkJiaGgQMHYm5ujr6+Pu7u7gQH5/+FKigoCHd3d/T19TE3N2fgwIHExMTku21oaCg+Pj6UK1cOuVxOlSpVGDVq1HtdI4ikJwiFJpPLFa9jb95SYyRvJ9HSokbrlhiXtyLmeiSZGRl5trGwq5pr0tnw/QcLPO6RZf6KsWPaOYZECCWDt7c3/v7+fPvtt+zcuZMGDRrg6+tLQEBAgfumpKTQqlUrgoODmTt3Ltu2bcPS0pK2bdty8GDuz9bBgwdp164dlpaWbNu2jblz5xIUFESrVq1IeW1eyP3799OwYUMSEhJYuHAhe/bs4YcffkBXV/e9r1P23nsKQikjk+soXj+JvqfGSAomkUhwavcRx5avIirkNFXd3XKt15LJcGzpSUjAeiD3sIc3eRJ9DxPr8hiUMyfmegSZ6eloycSfEEAljyOL8vFmYGAge/fuJSAgAF9fXwBatGjBrVu3GDduHD179kQqlb5x/2XLlhEaGsqxY8dwd3dX7F+7dm3Gjx/PyZP/zVQybtw47O3t2bhxI7KXnx9bW1s8PDxYvnw5I0eOBCApKYk+ffrQsmVLtm/fnquMXr9+/d77WsWdniAUkkznvzu94p70ACrXrQOQa+LYnJqPGko9H29afjqqUAPYtfV0SYyNw9TGmtTnSTy5/0Cp8Qrqs2XLFgwMDPDx8cn1/qBBg7h3716upPWm/R0cHBQJD0Amk9G3b19CQkKIjo4GIDo6mlOnTtGvXz9FwgNo3Lgx9vb2bNny35CgDRs2cP/+fcaNG6fUurEi6QlCIUl1/rvTS054psZICqeCqwvaenpc3BFISuLzPOu1dXVpM+FzGvUr3OwLDXp1Jz0lhUv/7gI0I/EXFVV2ZImIiCAsLCzX8qb2r/cVGhpKjRo1ciUiABcXF8X6gvZ/tW1++4eFheU6zpu2zXmeQ4cOAZCRkUGTJk3Q0dHB1NQUX19f7t17/8+eSHqCUEhS2X+Pd7T13r9Noaho68px69uL2BtRbJ303Qcfz7GlJ+Vr1lD8/OJpwgcfUyhYly5dcHZ2zrUsWLBAqeeIi4ujbNm8YzpfvRcXF6eU/V/9+6Ztc57n1d1ht27d8PDwYPfu3cyYMYO9e/fSvHlzkt6zALx4IC8IhfT4brTitVUNBzVGUnhNhw3mftgVIo8eZ+O4r+k2c/p7PyqSaGnRb8kfRF8K4/njxzh4NlNytEJ+tm7dip2dXa73ypUr98btDxw4QIsWLQp17HPnzuHq6grw1s9FYT4z77L/m7bN+X7my97SPXv25Oeffway2wmtrKzo0qULAQEBDBkypMC4XieSniAU0oOr/81ZpyljqCQSCe2+HkfA6M+4tv8Q1w4cwqFFc8Xwi9enJCqITC6n8svZ14X/SCQSpc9X+Op4dnZ2ODk5FXo/BwcHlixZUqhtK1WqBICZmVm+d3Px8fFA/ndmORV2fzMzMyD/O8f4+Phc53m1bZs2bXJt16ZNGyQSCWfPnn1rTG8ikp4gFFLOcXrFtRxZfoysLOk+60eW9/Vj07hJmFawUdy1NurfG4eWzbFxLvwfVaF4K1++/DvfAdWqVYu1a9eSnp6eq13v0qVLADg7Oxe4/6ttc3p9/1f/Xrp0ifbt2+fZNud5XFxc3jpOUOsdv7Ap9nuvvQShlHteQBtHcWNuWwXf+bMpW7lSrse0J1YF4D9wONcPH1VjdJpP0yuydO3alcTERDZt2pTrfX9/f6ytrXFzc3vDnv/tf/Xq1Vy9PNPT01m9ejVubm5YW1sDYGNjQ8OGDVm9ejUZOcaPnjhxgvDwcLy9vXMdUyKRsHPnzlzn2rlzJ1lZWTRq1Oi9rlXc6QlCIVlUr6bo/v/g6jVunTpDlfp13/mxVmGqYb7+bVQZFTQrutZmxKbsgcYPr13n+qGjHFmygsyMDKJCTlO9qYcSziJoonbt2uHl5cXIkSNJSEjAzs6OtWvXsmvXLlavXp1rjJ6fnx/+/v5ERkZSuXJlAAYPHsz8+fPx8fFhxowZWFhYsGDBAsLDwwkKCsp1rp9//hkvLy98fHwYNWoUMTExTJw4EWdnZwYNGqTYztHRkdGjR7NgwQIMDQ1p164d165d45tvvqFOnTr06NHjva5V3OkJQiG9Pt5tzchPuXbwsJqi+TCW9tVpMmQgDXyzx2Xpm5qqOSLNp8EVyADYvHkz/fr1Y8qUKbRt25aTJ0+ydu1a+vTpk2u7jIwMMjIyyMrKUrwnl8sJDg6mRYsWjBkzhk6dOnH//n127txJ8+bNc+3v6elJYGAg9+/fp1OnTowZM4YWLVoQHByMPEfVI4A5c+bw448/8s8//9C+fXumTZtGr1692LdvHzo5hhC9C3GnJwjvybZhfSrXq6PuMD7Iw2vXAajomnfclPAOJChKtCn1mEXIwMCAuXPnMnfu3Ldut3LlSlauXJnnfUtLS/z9/Qt1Li8vL7y8vArcTiqVMmHCBCZMmFCo4xaGuNMThELISEvL9XPToYPos2AOuoaGaopIOWwbZldiuXsxbycEQSiJRNIThEJ4FJl7Dj3zKpXf+1hahViKSt3uXdEzMeHQwmX5Vm0RCkfTO7KUJiLpCUIhxN26o3itrauLYytP9QWjRHKDMtTz6UpmejoxERHqDkcQVE4kPUEohLiol1MJSSSkJScXav45TeHYsjlIJByYvzhX5wSh8ErAdHqlhkh6glAI8bez7/QMy5kDkPq85DwKtKhuh0vHdtw5d4HbZ8+rOxxBUCmR9AShAJnp6dy9kN3R49X8cVra2uoMSemc2mb3pAsY+SkX/vn3nfaNv32HjPR0VYSlMUSbnuYQSU8QChBx6CgJDx4CYGpTHsiewaAksXVrQIcpX5GVmcm/P8wo1GPOawePsLhHPxZ6+3J+6/YiiLI4k2QPWVDmIpKeSoikJwgFeP74seK1eVVbALTlJSvpAdT+uEP2i6wswnbueeu2cbdus3n8JGJv3ATAwq6aqsMTBKUQSU8QCiAvUwaZjg6G5cyRyrIfa2rrFv/59N6HacUKAGTmqIuYn4SHMYpt7Jo2LvWD20VHFs0hkp4gFOD8PztIT01FKpdzL+wyEqkUfVMTdYelEq866hQ0fVDF2rUwsrJE39SEpkMHF0VogqAUogyZIBQgMTZ7RoWE+w94cjca1y6dlF6J5fWC0ur6NlrV3Y3bZ89z6/RZXDq1f+N2MrmcUdv+BkArRzHi0koVHU9ERxbVEHd6gvAWL54mEHsze4xeZkYGFtXtaPPlp2qOSnWc2noh1dFhzy+/5WrLzI+WVCoSnqBxRNIThLe4deYcvOzJKJFI8P5paoltzwMwLm+F1xefkJr0gr2z3l54WMhB2T03FT04BWUTSU8Q3iLq1GnF6+rNm3xQzU1NUb1ZEwDib91WcySaRXRi0Qwi6QnCW5zdsEXxul63LkB2+1vORRnUVXA6v/MbmpqgZ2xE8rNERXumIJQUIukJwhvEvXanU1rGomnJZDTq58uT6HvMa9uZ+5evqjukYi/77kzUY9EEIukJwhtEHD6W6+en9x+oKZKi13hAX+xbNAMgJGB9vtukp6ayuEdfAkZ9mme+QUEorkTSE4Q3iDiSnfR0yugDpWuiVYlEQreZ0ylbqQJhu/Zy+9yFPNvE3rhJ7I0ookLOcHl3kBqiLD5E7U3NIZKeIOQjOTGRW6fPAlC+hgMAQXMX5Lvt6218qljUQSqR4DF4AACrh45m50+zcq1/En1f8frocn8u7wnm0Y2bYnoioVgTg9MFIR/XDhxWvK7TpRO3Tp9D19BAjRGpR+2O7TC2smT1iE84t2krz2JiqNutK3ZN3Hly7x4AFevU5s75i2z9+lsAypiZ4dzOC8/Rw5GWsNko3kgVXS7FjZ5KiDs9QcjH5T3/Pa6LDr2CVFsbfRMTkhMT1RiVelSpX5ePvvgEyG7n/HvsOI4u88fAPLtk2Z1zF7B1a0DnaVNo2LsnkMXJ1etY/+m4UnPXJx5vao73utN7fCda2XEIQrHx/PETbhwPwaaWM9GXQok8epyMtDTib99hQbfe9Jg9o8QNUC/o269tw/p0m/Uj0ZfCOOG/hoN/LqHdpPHU8f6Y81t3cPNECC6d2lO7cwecO7Rh29ffERVymtN/b6ZK/TpFcg3q/LsUGXlDI44pgCTrHb6K3bt3D0dHR549e6bKmARBEN6LoaEhV69exdraukjOp+q/iUV9PaXBOyU9yP6P/LiAmnyCIAjqYGpqWuQJQpV/E9VxPSXdOyc9QRAEQdBUoiOLIAiCUGqIpCcIgiCUGiLpCYIgCKWGSHqCIAhCqSGSniAIglBqiKQnCIIglBoi6QmCIAilhkh6giAIQqkhkp4gCIJQavwfrnKPdUmoaBwAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig126 = plt.figure(dpi=120)\n", - "ax126 = fig126.add_subplot(111, projection=crs.PlateCarree())\n", - "da126.plot(ax=ax126, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax126.add_feature(cfeature.OCEAN)\n", - "ax126.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax126.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax126.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax126.set_title(\"Sonoran Desert SSP1-2.6\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP4-6.0\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245_75/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_113103/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_113103')" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " end_time=\"2075-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = discharge_at_station245[0]\n", - "\n", - " # Show progress\n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "3cc1f096-4d36-4cc0-bd36-a353650f0092", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "timeseries245.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "37974d63-7177-4681-ac2d-4618b6aae493", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP4-6.0." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "91e9030b-b052-4d90-864c-091217f78292", - "metadata": {}, - "outputs": [], - "source": [ - "da245 = pcrglob245.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "dd6408f5-0344-4f53-9c15-be1f7b7dcb67", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdIAAAHsCAYAAABmECzrAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAABJ0AAASdAHeZh94AADXDklEQVR4nOydd1xT1xfAv0nYSzYIKgiIA1Dc4p6to87WWutedY+2ro6fdmhrd62jw733qnXVvffGrYgDRWQogszwfn8gqQkzEAiB+/187gfy3h3nJS85795zzzkySZIkBAKBQCAQ5Au5vgUQCAQCgcCQEYpUIBAIBIICIBSpQCAQCAQFQChSgUAgEAgKgFCkAoFAIBAUAKFIBQKBQCAoAEKRCgQCgUBQAIQiFQgEAoGgAAhFKhAIBAJBARCKVCAQCASCAiAUqUAgEAgEBUAoUoFAIBAICkCxU6RKpZJ58+bRrFkz7O3tMTY2xtnZmerVqzN48GD+/vtvfYto8ISGhiKTydSKubk5zs7ONGjQgFGjRnH48GF9i6kTFi9ejEwmY/HixVq3zc+9+OzZM6ZMmUJgYCBWVlaYmpri7u5OgwYN+Pjjjzl//rxa/S+++CLLz8LX15eRI0fy8OFDtfpHjx5l4sSJ1K1bFycnJ0xNTalYsSKDBw/m9u3bWl+jJklJSfj7+yOTyShXrpxWbTPe6+zKH3/8UWD5BILiiJG+BXgdpVLJW2+9xc6dO7G1taVDhw6UK1eO6Oho7ty5w8qVK7l+/TqdOnXSt6glgjJlyjBu3DgAUlNTiY6O5uLFi/z+++/MmTOHN954g6VLl+Li4qJfQfVAfu7FR48e0ahRI0JDQ/Hy8qJXr17Y29sTFhbG9evX+fXXXzE3N6dmzZqZxmvWrBnNmzcHIDIykn///Ze5c+eydu1aTpw4gbe3NwBvv/02T58+pWHDhvTq1QsjIyOOHz/OggULWL16Nbt37yYoKCjf1/3pp59y7969fLcH6Ny5M4GBgZmO16lTp0D9CgTFFqkYsWzZMgmQatSoIT179izT+fj4eGnfvn16kKxkcffuXQmQPDw8sjx/584dqXnz5hIgBQYGSgkJCUUroA5ZtGiRBEiLFi3Sql1+7sVBgwZJgDRw4EApLS0tU5tHjx5JZ8+eVTs2depUCZCmTp2qdjw5OVlq1aqVBEj9+/dXHZ8xY4YUFhaWqe/p06dLgOTv76/NZaqxf/9+SSaTSb///rsESO7u7lq1z+97LRAYOsVKkQ4fPlwCpF9++UWrdomJidK3334rBQQESObm5pK1tbXUuHFjac2aNZnqZiiRfv36SXfv3pV69OghOTg4SKamplLt2rWlrVu36nSMGzduSO+++67k5OQkyWQyaf/+/ZIkSdKZM2ekMWPGSNWrV5fs7OwkU1NTycfHR/roo4+k6OjoTH2+/iO1b98+qVmzZpKVlZVkbW0ttW/fXrp69Wqe36/cFKkkpSuKKlWqZPt5PHjwQBo5cqRUsWJFycTERLK3t5c6duwonTp1KlPd2NhY6auvvpL8/Pwka2trycrKSvLy8pLeffdd6cyZM5nqnzhxQnr77bclFxcXydjYWCpXrpz0wQcfZKlAmjVrJgFSUlKS9OWXX0q+vr6SiYmJ1K9fP9W5rMrdu3dzfI/ycy9WrVpVAqTz58/nuU12ilSSJGnNmjUSIFWrVi3XflJTUyVzc3MJkCIjI/M8fgbPnz+XPDw8pNatW0uSJAlFKhBoQbFa2nVwcADg5s2beW6TnJzMm2++ycGDB6lSpQojR47k5cuXrF+/nh49enDhwgW++eabTO3u3btHvXr18PLyok+fPkRHR7NmzRo6d+7Mnj17aNGiRYHHuHPnDvXr18fX15devXqRkJCAjY0NAPPmzWPTpk00a9aM1q1bo1QqOXfuHD///DM7duzg5MmTWFtbZ+rzn3/+YcuWLbRr145hw4Zx9epVtm/fzunTp7l69SqOjo55fu9ywsLCgvHjxzN48GBWrFihWgIGOHfuHG+88QbR0dG8+eabdOvWjcjISDZv3kzjxo3ZtGkT7du3B0CSJNq2bcuxY8cICgpi8ODBGBkZ8eDBAw4cOECTJk2oXbu2qu9FixYxZMgQTE1N6dSpE+XLl+fWrVvMnz+frVu3cuLECSpUqJBJ3rfffpvTp0/Trl07unTpgrOzM82bN8fW1pYtW7ZkWm60tbXN8frzcy++3iarpU1tkSQJAJlMlmtdmUyGkVH611mhUGg91pgxY4iJiWHBggVat9XkwoUL/PrrryQmJuLu7k6LFi20trcKBAaFvjX565w7d04yNjaWZDKZ1Lt3b2nDhg1SaGhojm2++eYbCZDatWsnpaSkqI4/efJE8vDwkADp6NGjquMZszFA+uKLL9T62rlzp6ovXY3xySefZCl3aGiolJqamun4/PnzJUCaMWOG2vGMp32FQiHt2bNH7dzkyZMlQPruu++ye5vUyMuMVJIk6fbt26oxM647JSVF8vb2lkxNTaUDBw6o1Q8LC5Pc3NwkV1dXKTExUZIkSbp06ZIESF26dMnUv1KpVJt937hxQzI2Npa8vb2lhw8fqtXdu3evJJfLM/WTMesMCAiQnj59mmmM/M6S8nMvzpo1SwIka2tracKECdLu3btznR1mNyNNSUmRWrZsqVoqzo3Vq1dLgNSgQYNc62qyceNGCZDmz5+vOkYBZqSaRaFQSEOHDjVoE4FAkBPFSpFKUvpylqurq9oX0d7eXurSpYv0999/Z6rv4+MjyWQy6dq1a5nOZSilAQMGqI69rkSyUmQVKlSQHBwcdDKGi4uLSqHklbS0NMnGxkZq0aKF2vGMH6levXplahMSEiIB0ttvv52nMfKqSBMSElSfwZMnTyRJkqTNmzdLgDR+/Pgs2/z6668SIG3btk2SpP8Uac+ePXOVa9y4cRIg/fPPP1me79Kli6RQKKTY2FjVsQxFunnz5izbFGS5Udt7MS0tTfrkk08kMzMztTaenp7S4MGDpQsXLmRqk6FImzVrJk2dOlWaOnWqNGrUKKlSpUoSIDk6Okp37tzJUc6QkBDJyclJMjIyUnugywvh4eGSk5NTpofH/CjSAwcOSLNmzZJu3LghxcfHS48ePZLWrl0reXt75/keEAgMkWK1tAvw7rvv0rVrV/bv38+RI0c4f/48R44cYfPmzWzevJm+ffuqttm/ePGC27dv4+7uTpUqVTL11bJlS4BMLgcAgYGBWS6BlS9fnuPHj6teF2SMGjVqYGpqmuV1pqSk8Oeff7J69WquXr3K8+fPSUtLU50PCwvLsl1WOx/Lly8PQExMTJZt8ov0amkR/ltezHhv7t27xxdffJGpza1btwC4du0a7du3p1q1agQGBrJq1Sru3btH586dady4MXXq1MHExEStbUbfBw8e5PTp05n6joiIQKlUcvPmTbXlYIB69erl/0KzQZt7EdLfo2+++YaJEyeya9cuTpw4wblz5zh58iTz589n0aJF/P777wwZMiTTWAcPHuTgwYMAmJiYUL58eYYNG8ann36q+nyzIiIignbt2vH06VPmzJlDw4YN1c4vXryY0NBQtWPNmzdX7RAeMmQIKSkpzJs3rwDvVDrNmjWjWbNmqtcWFhZ0796dBg0aUKNGDVatWsWkSZOoUaNGgccSCIoV+tbkeSE1NVVas2aNZGlpKQHSpk2bJElK3/ACSHXq1MmyXcaMytPTU3Xs9Y1AWZExw8mgIGP07ds322vq2rWrBEheXl5S//79pcmTJ6tmJGXKlMk0W8xtZsWrWU1eKMjS7uDBg7PdwPN6eX3ZPDo6Who3bpxUrlw51Xlra2tp1KhR0osXL1T1fHx88tT360vKGZ9XVrtk8/K+aUt292JOxMXFSZ9//rkESKamplJ4eLjqXE6bjXLjyZMnkp+fnwRIM2fOzLJOVhuuMsZasmSJBEhLlizJ1I58zEhzolevXhIg/fbbbzrrUyAoLhS7gAxZoVAoePfdd/nwww8B2LdvH5DuBwkQHh6eZbvHjx+r1csPBRkju00iZ86cYdOmTbRu3Zrr16+zaNEivv32W7744gumTJlCcnJyvuXVJfv37wegdu3aqo0sGde5ZcsWpHTTQJZl6tSpqn7s7Oz45ZdfePDggWrjUJUqVZg9ezbDhw9X1cvo+/nz5zn2/fqsJ4O8bMjRBdndizlhaWnJ119/TePGjUlKSuLo0aMFluPx48c0b96cq1evMmfOHMaMGZNlvQMHDmR6/zJWEs6dOwdAv379MgVPgPRVkYzXz549K5C8Tk5OAMTHxxeoH4GgOFLslnZzImMXq/RqydHa2hpvb29CQkK4desWlSpVUqufoQhq1apVoDF1PUZGBJpOnTphbGysdu7UqVMkJCTkW15d8fLlS3766ScAevXqpTreoEEDAA4fPpyvwBg+Pj74+Pjw/vvv4+zszJYtW9T6Pnv2LIcPH6ZDhw4FvIJ0MpbvlUqlTvrLQPNeLKw2WfHw4UNatmzJ7du3+eOPP/jggw/y1U9QUBBxcXFZnluwYAEWFhb07NkTIFsTRV45efIkAF5eXgXqRyAolhTp/DcXVq5cKf3777+SUqnMdO7x48eqpb+1a9eqjmc4onfu3Flt89DTp08lT09PCZAOHz6sOq7t0m5hjHH8+HEJkLp166Z2/MmTJ1KtWrWyXHYtyqXdkJAQVUCGmjVrqm2YSk5Olry9vSVzc3PVhiJNjh07JsXHx6v6Cg4OzlQnLCxMMjY2lpydnVXHrl27JhkbG0uVKlWSbty4kalNUlKSdOjQIbVjWX1er7Nt2zYJkKZMmZJtnazIz734/fffZ3mtkiRJhw8flszMzCQjIyM1f1htl3bv3bsneXl5SXK5XFq4cKFW16QN5LC0++jRI+natWuZAlVofjaSlL4BK2PXu6Ojo/T8+fNCkVcg0CfFakZ68uRJZs6ciaurK40bN6ZixYoA3L17l23btpGQkEDnzp155513VG3Gjx/Pjh072LJlCzVq1KB9+/a8fPmSdevWERERwcSJE2ncuHGB5NL1GHXr1qVRo0Zs3LiRhg0b0rhxY548ecKOHTuoXLkybm5uBZI3rzx79ky1zJeamkpMTAwXL17k+PHjpKWl0bZtW5YsWaI2GzE2Nmbjxo28+eabdOjQgYYNGxIYGIiFhQUPHjzg9OnThISE8PjxYywsLLh48SJdu3aldu3a+Pv74+bmxtOnT9myZQspKSlMmjRJ1XeVKlVYuHAhAwcOxM/Pj7Zt2+Lr60tKSgr379/n8OHDODk5cf369TxfY1BQEBYWFvz6669ER0erwh2OHj06xyX//NyLK1asYOLEiVSpUoUGDRpQtmxZ4uPjuXLlCvv27UOSJH766acCfb7NmjUjNDSU2rVrZ7vhq3///nh6euZ7jNz45JNPWLJkCYsWLaJ///6q402bNsXX15e6devi7u7O8+fPOXr0KMHBwVhYWLBixQqVH7VAUKLQtyZ/nfv370uzZ8+WunTpIvn6+krW1taSsbGx5OrqKrVr105atmxZljOEhIQEafr06ZKfn59kZmYmWVlZSY0aNZJWrlyZqW5+ZqS6HkOSJCkqKkoaPny45OHhIZmamkpeXl7SJ598IsXHx0seHh5FMiN9vZiamkpOTk5S/fr1pVGjRqnNsLPiyZMn0qRJkyQ/Pz/J3NxcsrS0lHx8fKS3335bWrZsmWpz0oMHD6RPPvlEatiwoeTi4iKZmJhI7u7uUtu2baXt27dn2felS5ekfv36SRUqVJBMTEwkOzs7yc/PT/rggw+kvXv3qtXNbUYqSZK0Y8cOqUGDBqoNQpB7ZKP83Ivnzp2Tvv76a6lFixaSp6enZGZmpvps33///SzfU21npJqfW1YlI3pWQSCHGWm/fv2yvBfHjx8vNW3aVCpbtqxkamoqmZubS5UrV5ZGjhyZqwuPQGDIyCSpgAYbgUAgEAhKMQaxa1cgEAgEguKKUKQCgUAgEBQAoUgFAoFAICgAQpEKBAKBQFAAhCIVCAQCgaAACEUqEAgEAkEBEIpUIBAIBIICoHVko0ePHuk8XZdAIBDoAjs7uyKLDJZBYf4m6uN6BNqjlSJ99OgRFX0rkRz/srDkEQgEgnxjbW3N9evXi0z5PHr0CPcKXqBMKpT+i/p6BPlDK0UaExNDcvxLuv/4Lfbl3QFI06iT21qxZv3iSFbXkFe5wy4Fs+v7X1CmpOAVVJ96vd7D2slBl+IJtKAobBea94Ykqad0k8nUg4fJs8j4lqYRXyz6pXrSc3uLnFPrGcvVO1CmqQ9iCN+7ghLzIIz14z8hJiamyBRPTEwMKJMw9u+JzNxep31LCdG8CF5VpNcjyB/5ClpvX94dJ+/0dEhCkaqzdeo0FMZG9JzzCxVqBepQKkF+KI6KVCHLHJVTqdGGOPW0ZU5WOc94TOTqUqSmqV+5IXzvDBmZhQNyS2ed9plWRDl2BQVHbDbSMVH3HlCmbFnK16yhb1EEAoFAUAQIRapjqrVpydM7Iez6/ucCJ3AWCAQGgkwGcrlui5iRGgyFrkjTNEp+kGsUbc8XtH9txmgzYRxmNtacW7eJp3dC8iGNoKjRvEdzu2dzOy+TSWpFE0mSZSqa95eTVZJa0cREnqZWNPszkqeplYJ+RwQCQfYUq8TeJYHTK9eSGPsCGxdnypQtq29xBAJBUSCT6X4GKWakBoNQpDom8m4oAL3nzcHU0kK/wggEgqJBKNJSjVjl0TFGpum7Lc2srfQsiUAgEAiKggLPSDU1cW7uMLrYhq/ZZ1mLBLXXYS/NtWqfFxeevMptYVsGgMiQUMrVCMhjK0FhkdXnpvn55nY/FPSezct3IDeZ6jupB0E5+VR9tUPTpUZzLqN5Pk3T3SYPFMZ3uaC87mqk6XZUpMjk6UXXfQoMAvFJ6RjP+nUB+OfL6WLXrkAgEJQChCLVMRXr1cG3RVOi7z8UoRQFgtKCjPSQVboswkRqMAhFqmOUKSncOXIcABOLnJeYBQKBQGD45MtGqo1PaF7qFTSsoKZNtCjsstnZVeXGxrhU8uHR1Ws8e/QYu3LuOhhdUJQU9P7Jz9Npbnb6U5E5P5RlCjGoQSZ/1nzYEzVltDJKVXsdl1r0TgCvX1dWPrtFKIjYtVuKEe4vOiY1KYk0pRKAlMTCyQghEAiKGWKzUalGfFI6Zv/cvwi/cZOab3fB2cdL3+IIBAKBoJARM1Idc3XPfuwrlOfNiR/qWxSBQFBUiKXdUk2xUKS69kfLzd6UKT+kDnzqACRJ4sWTCKq0aIZcodC6T4HuycuSi6lCqfY6San+2WlrM83t/suPn3KuOU41x9A4n5RW8MUnTZvoSy1tosXRD1Ug0AXFQpGWFJ6FPQJAllXmZoFAUHLJcFnRdZ8Cg0DYSHXIiRWrAfBt1kTPkggEAoGgqBAzUh1iapUeX9fRy1O/gggEgiJGVgi7bMWM1FAoFYo0ky1Gw96kq9s/5WV6zN/UpGQd9SgoCjRtopoUhR+pZizc3OLGap5P0ZRBS7u/tXFqrnUSU3N+n3Lbi6Dp66p5zbn5whZrxGajUk2pUKSFjSRJHF+ygtNr1uPi64O7X1V9iyQQCASCIkIoUh1w6K+FHJ63CCdvL96b+SNyIyOxI1EgKE2IgAylGqFIC0hCbCzHlqzA2cebfvPnYmplqW+RBAKBQFCE6DwfaW4Ux5laQeIBH124FGVyMvX79MTYyrJYXp+gYDiaqtu8I5NM1F5ra9/MitzaaHtfaVv/RYr2PwW5ffc1rym3+sYa76OxXP0qXuZiy9Yrwv2lVCNmpAXg8fUbnFy5Fje/qvi1baNvcQQCgb6QUQibjXTbnaDwEIvw+eTls2f889UMZDIZHT6fJCIZCQQCQSlFzEjzyI0Dh7lx4BCJL+J4GfOMx9dvoExOpsmQAbhU8hFLugJBqaYQNhuJeY7BUCIVqa5jeqYmJbFuwqcgScjkcsysrfGoFUhg5w5Ubd2ygL0LtCGveWEzkMkkUpOSuLr3ANf2HODp7RDMythQrro/lRo3okLN6hiZmuY4ZrSWNtHcZCoKdPEdKOzYuLn1r2kTdTDN7J+d8loM4QQjZabzAkFRUCIVqa4xMjXFO6g+d46d4M3xY6nz7tv6FkmQR+4cP8W26T/w/HE4coUCB88KxD6J4PTq9ZxevR6ZXI6bX1U6fDZJpL0T5B8RkKFUIxRpHnnrf5OZ2a4Lx5asEIq0mJKmVPL8cTjR9x8Qff8hT0Pucm7T35hYmNNy9DBqdu6AhZ0taWnw9E4INw8d5dGVa9w8eJi/v5jGoKXzkcnFcppAINAOoUjzyKV/dgDg3bCBniURJDyP5cmt20Tff0DUK6UZff8Bz8IeoUxRD5ZnXqYMPX75lvI1AlTHZDIZzj7eOPt4A7D751mcXLmGDZOnoDA2wu/N1vg2bVyk1yQwcIT7S6kmX4pUTv7tPnlpV1BbTEFtVFmNf2XXHszLlKGtSNhdqOQUr/XmoaOcWbuRkFNnkZT/2cPkCgW27m54NaiLffny2Fcoj71HeezLl8PG2QmZXI4kkS2NBvbh6t79XN93AIAr/+6l81efUb39m0BmG2huPp/FYU6rC3tmYecJ1nwXc3tfE7KI9auQ//fB5vARFz6yQghaL5Z2DQYxI80jqclJKFOSefboMQ4eFfQtTqlCkiSOL1vF3pm/IzcywieoHhXr18HBowJ25ctjW9YVuVH+b2ULW1v6L5jLnWMncfH1Yf3Ez9n1/a/4BNXHws5WdxciEAhKJMXh4dkgaD7iA1KSkln6wSiiH4bpW5xSxflNW9k783ecvL0Y/fca3pv5PfXffxefRg2wL1+uQEo0gzKurtTq1hl3fz/afDiSxBdx7P99vg6kF5QKMjYb6boIDAKhSPNItdYt6Tb9C+Kjojk8b5G+xSlVPLp6HYAeP3+LjYtzoY9XrU1LKtSqwbkNW/j3p994Hh5e6GMKBALDpVgu7eam3Qs77mh2fVRu3QJ7jwo8vBSsgx4FWaH5WSkAWzdXAJ6G3MWlgqva+QQNX0PdPBnK6Tj1MzZM+pyTK9dxas1GqjRvQoVaNanRqT2mFmZqtfMTW1d7idTJ7Z7WxXdI2z5yq695Xtv8o1nF2pW/5jqalQ216CiMGaSYkRoKYkaqJc6VvIl5GEZyQoK+RSk1VGvTChMLc7ZN+54XkVFFMqaduxuDls6n528/UrFuba7tPcCuH35h+zc/Fsn4pQVJkkh++ZK4yEiiQu/z6Mo1nty4Jb5fAoOiWM5IizOOFT1Bkoi+/xDXypX0LU6pwL68Ox0+m8imz75k8bCP6f/HT1g7OhT6uDK5HO+GDfBu2IC4yCiWDB5B8I5dmFlZ0HrsCIzNzXLvRMCLyEjuHD3BneMniX0SQVJ8PEnxL0mOf0nyy5dIaVnPj21cnLH3qICDpwcOHhVw8Ez/39rZCVlxsx/K5elF130KDAKhSLUkOf4lgMg7WsT4t23Ni4in7Jk5lyUjJjBsxZ8YGRsX2fhWjg70/mMmW6ZM48y6TYScOkPzYYOo2rIZMoUxSXHxhJw8TeKLF3jWqYVdOfcik6248vByMMcWLefmoSPpB2QyrB0dMLG0TP/rUQETSwtMLS0xtbRM/9/CgtTkZKLu3Scq9D5hl4IJPXVGrd/ytQLp8Pkk7CuU18NVZYOIbFSqEYpUS6IfPACZrEg2vQjUCerbk5T4OA7OX8qRxatoPqRvkY5fxtWV3r/P5OTK1Rz8YyEbP/kCEwtz7Mq5Exl6H2Xyq1iwMhk1OranQs0auFauhItv6Vq5ePnsGdumfceNA4cB8G3amKptWuIdVA8LW1tVvbzYaaW0NF5EPFUp1kfBV7myazeL+39At++n41WnVuFchAETFxfH559/ztq1a4mOjqZKlSpMnjyZ9957L9e2ERERTJw4kX/++YeXL19So0YNpk2bRqtWrTLV3bNnD//73/+4ePEiFhYWvPXWW3z//fc4O6v/NqakpPDNN9+waNEiHj9+TMWKFRk5ciSjR49Wq3flyhXmzJnD+fPnuXTpEi9fvmT//v00b94809ienp7cu3cv0/GhQ4fyxx9/5HqduiZfijSN/74Eugh2oG0gcl1vRsor8TEx3D1xmgo1ayAzMhIZX4oAzQ0pzT/oy+Vdezm+cj2N+vYAIwut+5RpmYj79foKIzlBfXpR/a32nNuwhdDTZ4l5GEaFwOpUadkcS3s7Tq1ex8W/t3Hx720AVG7RlKYfDMSlko/WsmZQ0HtNIZOIefiIG4eO8Dw8AklKQyZX4FzJG+8GdUlMSCL2SQRO3l5Y2JbJ95j3zp5n8/++4kXEUyq3bE7ToQNx8v4vhrG2fcrkcmxcXbBxdaFi/brQ42382rVh0ydTWDl8LIFdOtJsxBAs7ez0+30sRvlIu3XrxunTp5kxYwa+vr6sXLmSnj17kpaWxvvvv59tu6SkJFq1asWzZ8+YOXMmzs7OzJkzh7Zt27Jnzx6aNWumqnvw4EHatWtHhw4d2LJlCxEREUyaNIlWrVpx5swZTF9LBDFixAiWLVvG119/Td26ddm1axdjx47lxYsXfPrpp6p6Z86cYfPmzdSsWZNWrVqxdevWHK+zUaNG/Pij+p4FFxcXbd8unSBmpFpwY+9BlCkp1OzWWd+ilFqMjI2p36MrO36cTfCu/VTp0EEvclja2dFkcH+aDO6f6VzlFk0Ju3yFqHv3uXnwMDf2H+LG/kNUa9OSJkMG4ORVsdDkehb2iP2z/8TOvSyBnd/Cvnw5lKmpHFm0lEPzl5CmzDlDisLEhGbDB9OgT/Y/uFkRFxXNmZVrOL5sFUampnT84jP8O7QtFFumd8MG9F/8Fzu//ZELm/7m+p59NBk6iPK1AnU+lqGxfft2du/erVKeAC1atODevXtMmDCBHj16oMgmd/KCBQsIDg7m2LFjBAUFqdrWqFGDiRMncvLkSVXdCRMm4Ovry/r16zF65cddsWJFGjVqxMKFCxk+fDiQPstcsGAB06dPZ8KECQA0b96cqKgopk2bxrBhw7C3twegT58+9OvXD4D169fnqkhtbW1p0KB4hGwVilQLnj16BEBZv6p6lsRwuX/ugirjiiKfNs6aHduy65ffubrvkN4UaU7IZDLKVfenXHV/anRsz+Nr1zn450Ku7t7H1T37KV8jgIr16+JVvy5u1aoUOKBEWmoqt48c59zGzYQc++/H7tji5ThX8iYpLp7nj8Nx9vai1agPcPbxQpLLSUtVcvvYCZ7euYuRuTlWDvZc/Hsb+2bOxdrJCb+2bXIdOz4mhj0/z+La7n2kpabi4luJbt98iYNnhUKdITpW9KTXn7O4tmcf+36dw+4fZ2Jbzq0QR8yN4pGPdNOmTVhZWdG9e3e14wMGDOD999/n5MmTNGzYMNu2lStXVilRACMjI3r37s2nn35KWFgY7u7uhIWFcfr0ab799luVEgVo2LAhvr6+bNq0SaVIN2/ejCRJDBgwIJM88+bNY+fOnapZstyAN1cJRaoF8ldPcrcPH6Pe++/qWRrD4/aR46wdl/5Uale+HK3GjaJS00Zaz1rMbawpW9mH+xeDkSSp+O3g1KBs1Sq89+v3hAVf4diSFdw9eZoHFy5x6M8FmFpZ4Vm3Fl7161Kxfl3syrnn+Xpin0RwYfNWLm75hxcRT5EpFPi2aIrfm60xs7Dg8o5/uX/uAgpjY5oNHUjj/r0wMknPrZqh5Oq+2w34bwm92hutWdBrAFs+/5LQU2d4c9JH2eZrlSSJdR9O4lHwVSrUrkndd9+mcrPGOok0lRdkMhnV2rSiUpNGHF+yguOLlxXJuEXN7du3Mx1zcnLKZIsECA4OpmrVqmoKDqB69eqq89kp0uDgYJo0aZLpeEbbK1eu4O7uTnBwsNpxzbpHjx5V69PJyQlXV9dM9TLO55dDhw5hbW1NYmIilSpVYtCgQYwbNy7bGXdhUuRB6/Pa/+to63xeGDZUORDUpyc39h1k76+zeRkVRbU3WuPgUR4jU9NMP37CfqpOUlw8h/9agEyhoP77PTi7fhPrP56MjYszVo4OBPXtRdVWzXPv55VTvnPlyoRdvUFcZBTWTo6q83kJEqBtAAVdBVxw9/ej+w/foExNJezyFUJOnubuydPcPHiEG/sPAWDrVpZKTRrS9INBmJexUbXNuI6UxERCT5/l/Kat3DpyDCktDRsXZ5oNG0xg57dU70UaUFEjU5EEpEjq/Wn2X8bZid6//8bWr77h4t/buH/uAhVq18TFtxJV27TE0t5O1Sb01BkeBV8lsGsn2n82UXU8u/0T2n6P8/odMjYzo+nQQZSrEcDqUR/lsZWOKcTsL126dMl0aurUqXzxxReZjkdFReHllTmvbsbyaVRU9n7YUVFRqno5tc34m13d18fIrk9LS0tMTExylCcnOnToQJ06dfD29iYmJoZ169Yxfvx4Lly4wLJlRf9AJWakWmBuY0OPX79nxcgPObZkBceWrABAbmSEmbUVZtZWOHh4UK9ndyrUrV3sZ0pFRczDMNZ9NInIkFAaDuhD85FDqdfrXY4uWMrDi5eJvBvKhkmfU6FWIFJaGrERTzEyNqZqm5bU7fE2lnZ2av0pU1OJvBuKwsQESwMMKq8wMqJCzRpUqFmD5sMGkxAby72z57h74jQhJ05zes0Gru09QN0e7+DXtg2xT54QevocoafPEnb5SnqqOJkMn0ZB1H67M94NG6hWS3SBs48XAxf/xcF5i7iw6W8ubvkHgANz/6TNR2Oo3qkDSBLHFi1DplDQcEAfnY1dEF5/oCpyCtH9ZfPmzfj4qG9Uc3JyyqFZ9nLk9pukTdvs6ua1Xl7kyY45c+aove7cuTN2dnbMnj2bjz76iJo1a+ar3/wiFKmW2Jcvx8hNq3lw8TK3Dx8jLiqKxBdxJMXHkxj7gttHj3Pr8FH8271Jx68+LzXKNC4yksvbdvH0TggyuRwjU1OMTExISUzk6r97SH6ZQMsxI6jfJ30DhJWjI29O+gg58OJpJLt++JXbR49hYm6BtbMTL58948j8xZxYtpJqbVrh7OOFha0tzx6Hc2P/IZ7cvIVv06JbRixMzG1sqNqyGVVbNkOSJC5u3c6+WX+yf056ycDYzAzPurXwrFObqm1aYlvWNYdeC4ZMLqfp0EE0HTqI+JgYQk+eZt9vv7Pt6xnpu5FlMh5euET1ju2xdStbaHIIwMfHBz8/vzzVdXBwyHKWFx0dDWQ9i9S2rYNDejCU7Oq+PoaDgwMXLlzIVC8+Pp7k5OQc5dGW3r17M3v2bE6cOCEUqSEgVyjwqBWIRxa7BGPCHrHzu58J3rELh4oeNBpYtL6O+uDSPzv494dfVMEqNLEr5063GV/jFVQ/y/PWTo688/00tWNpSiXX9x/k+JIVqqTqGcgVChoN6EOTIeobGEoCMpmMwE4d8G/XlluHj3LjwGHsyrnjWbcW7n7V8r1BqyBY2tnh1/YNvBo2YO8vs7myaw8AAR3a8uakj4tcnmJJMclHGhAQwKpVq0hNTVWzk16+fBkAf3//HNtm1HsdzbYZfy9fvkz79u0z1X19jICAAFavXk14eLianTQv8miL9CrpsD42LelckRrJ1S0byWnqF1UYib21rZ/Xt9nsxQvenDmXXWOGk2hjk3sD0mO0vj3jKxb1H8qhP+ZTs1MHrBwdspTRLDaWtr/9zs6xI0i0ts6z/IVFXmxUDy8FE3I8fWeolJbGo+Cr3D15GmsXZ96a8ikV69dFJpeRmpxMamIScmNjLO3ttJ6ZyxUKqrVuSdVWLXjxNJJnYY94GfOMMm6u2Jcvj6mlRZYy5tfOpnc07LAyIyN8WzTDt0W6715Brys/Py2abSxtbOg09VPaT/4YSZIwNtNtiESD+ayKMV27dmXevHls2LCBHj16qI4vWbIENzc36tfP+mE2o+2IESM4efKkql5qairLly+nfv36uLml74p2d3enXr16LF++nPHjx6s295w4cYIbN24wbtw4VZ+dO3fm888/Z8mSJUyaNEl1fPHixZibm9O2bVudXfvSpUsB9OISI2ak2WD24gX9Rn5IuavXKXvjJovn/JJnZWpiYUG1N1px8I/5PA9/glUWcWHNYmMZOPJD3K/doOzNWyya80uxUKbZkaZUsm/mXE6tXJPpXLU3W9Nm/Fg1W6aJhfaBErJCJpNh4+yEjXP2NiFB0ZLdLt5STTEJEdiuXTvatGnD8OHDiY2NxcfHh1WrVrFz506WL1+uUnqDBg1iyZIl3LlzBw8PDwAGDhzInDlz6N69OzNmzMDZ2Zm5c+dy48YN9uzZozbOd999R5s2bejevTsjRowgIiKCyZMn4+/vr+bq4ufnx6BBg5g6dSoKhYK6devy77//8tdffzFt2jS1pd2XL1+yfft2IF0pQ3rgh8jISCwtLWnXrh0AK1euZOPGjXTo0AEPDw+ePXvGunXrWL16Nf3796dGjRpav28FRSjSbHhz5lzKvcqD6X7tBv1HfqiVMo19EgGAjWvmLeqvK1GAclev03bmXDZ/PilTXX0jSRL3zp7n0Nx5PLx0mfI1a9By7AiVorR2dsLMykrPUgoEekZWCLt286mYN27cyGeffcaUKVNUIQJXrVqlFiJQqVSiVCpVy6EApqam7N27l4kTJzJ69GhevnxJYGAgO3bsUItqBOlBFbZv386UKVPo2LGjKkTgDz/8oBbVCGDu3Lm4u7sza9YswsPD8fT0ZObMmZlCBEZERGTyf83Ymezh4UFoaCgAXl5ePHv2jE8//ZSoqCiMjY3x8/Nj7ty5DB06NF/vWUGRSa+/k7lw5coV/P39GbpmqVrYr9fRx9KutuRFBrPYWPq/puwAwqpWzrMyPb5sJXtnzuX9Ob/gVb+u6po0lWhGvwu1UNKFxevviyRJ3Dp6nKMLlxJ2KRiZQkHtd7rSYvRwjM10NyMpqDWjxCzt5oI+lnZ1TWF/Fk/vhDCvR1+Cg4PzvDmnoGT8Jpq88yNye90G0U+LfkDy+vFFej2C/FHgGanml6M4Ks78kGhjw+I5v6gpU21mph610neN3T93Aa/6dQH9K9HcPgtJknjxNJJ7Z89zcvlqwm/cRGFsTGDXTgT161UsM5oUBwUhSEczhnEmiiABut6QFUJkI51HShIUFmJpNwcKokxdK1fCxMKc++cvAvpXolnxIjKSW4eOEnHrDhF3Qoi4fYfE2BdAuh2sbs93adCnJ9bCPikQCATZIhRpLuRXmSbFv0SZqkQml2e7TKxPJRp65hyrx04gNSkJAFNLS5x8vHD28ca1ciUqt2iKuUYgBIFAkA3FZLORQD8IRZoHtFGmkiRx6Z8d7Jv9B8rkZGo0aVgslKiUlsal7buIuncfZWoq5zZsRpmSQuev/keFWjWwcXERYQ4FAoEgHxQ4H6km+YlzawgbRPKqTP/9cSan16zHwtaWrhPG8dvW7bhfv6nqR5sNS7mRVwvKi8hI/v3hV67tPaA6ZuPqQqevP8S3WWMgPQ5rnned6RBtNwsJq1HhkJV9s6Axhk01Nh6+VBZ9MPGiIn1CqtsZpJiQGg5iRqoFuSnTqFQlp9esp1z1APpN+x/DJ/0P9+s3SQL+BHZYWxFfI4B6EhSWJ17iixekJiVj5ejAjQOHOLNuE6GnzyKlpVGlRTOaDRsEMhn25csh00OUHIGgJCJWdks3QpFqSU7KdMZHYwDwrVUjXYleu0EM0Bo4B/AiDlavJ+TKNfou+B2ZjkJZpSYlcW3fQc5t3MLDi5eR0v6bCciNjKjUuCE1OnXAt1ljtafm4jjzFwgEAkNDKFItSIp/yckVq0mIjeV0uzcZ+DKB5vfuY0O6Mm389bfMBmr9swP3yCheAh1JV6JNe3YnaORQdv88i3MbtxB66iwVG9TN07hPQ+5i5+6WKaLMscXLOblyDUnx8aQmJWNkaoJv00aEXb5KXFQUHrVr0vWbL7Fy0F1gaIFAkBmZTIZMxwEZSkvCi5KAzhWpQsPWotSwsxiqjSvybigrRn3Ei1cRiwC2vPpbgfTrCr3/MP11ZBT/AF8CZ4BG775N44/HAlC/7/uc2/Q3J1eswqt+nWy/LEnxLzExN+PkyrXs+XU2Fna2BLR7E2tnJ9z8q2Jinp64OT46hgq1AvFt2hj/t9phYVuG1ORk4p5GYuueHhuzOM88DcE+XhzRdc5dXeVcfZ3EEmwTFQheR8xI84AkSWz/9kdePImg3eTxeAXVIzLkLhF3Qoi+fpPkw8cgKQlzIAEY86qdAmjSszuNPxqj6suunDt+b7bmys7d/P3FdBoP7IuDRwW1sY4uXMqBP+ZjX96d6FfKWSaTcTKLOLcOHhXo8+csZDKZ6sfTyMREpUQFAkHhUxgRAkty/IqShlCkeeDJzdvcP3eBej3fpfY7XYD0LC+VmjRK//9hGB916UEqcBo4DNgAd2b9hEkWqcPemPAhibGxXN62k8vbdlLGrSzu/tVw96vGo2vXubJzN1YODjx7FA5Arbe78Ob4sTx/HM7z8CfcP38RuUKBJElU79BWLAEJBAKBHhGKNA+cXb8RgCotm2U6ZxYbS49PpgDpb2bQqwIQNvcvFvpVzeTqYl7Ghvdm/si9s+e5vH0XDy8Fc/XfvVz9dy8A3g0b0PWbL0CSuLpnPxXr1UFhbIx9hfLYVyhPxXp1CulKBQJBfpDJZIXg/iIekA0FnSvSlFxsolnZbow17KppxWhNI3jnv5zftJXyNWtQPrC62rmsIha9jvu1Gwwc+WGWwRckmYwKdWpRoU4tIN1tJfz6TYzNzXDzq6b6EgV27QSUXNthSb2uoqYo3sfcYulq2lk190sUp++1rhHuL6UbQ937UyTs/W0umz//CitHBzpN/VTtCTG7sH8/b15DWNXKqmMZytQsNjbHscysrfGsWxt3fz/xJCoQCAQGhFCk2XDn+EmOL11Juer+DFq+QC3zSU4p1mLKubN4zi/5UqYCgcAwyVja1XURGAZCkWbDscXLkSsUdP3mC6wdHVXH85KnNNHGhoVCmQoEAkGpIF+KVK5FSdMoJvK0TCVFkqmV4kCZsq6kKZUoU1JVx7RJ9i2Uad7I7f7RRPN+EhQdSkmmVlLT5GpFJpPUimb9koyMQpiRUrLfs5KEmJFmg5VT+ixUmZwMaKdEMxDKVCAQCEo+QpFmQ8ixk5hZW2FXvly+lGgGQpkKBKUA2X87d3VVxITUcBCKlPRoQq8Her++/yDhN25SuXlTrBIT861EMxDKVCAo2YjNRqWbAucjzU0T2xinqr12NU/MVOd2rFWm/l9H13FFX69/dt1Gji5cSnxUNGY2NhiZmvDiSQQWdrY06dpJZ0m5M5TpQI2sMdn5mQrSEU96WaPp0ynPxQaZn7yuuX2vNGUo6XZQgSA7SvXv1PHFy9n13c/IZDIqNWmEY0UPLO1s8W//Jh/M+onJP/yiEyWagZiZCgQlE5m8cIrAMCi1IQKf3LjFgd/n4eTtRe95szHXUI5dpn2nUyWaQXYz07a//c7mzycVqG+BQCAQFD2l9pnnyPzFSGlpdPrqf5mUKMDOsSN4WK0KoDslmoHmzPRhtSrsHDtCJ30LBIKiJ32DkK5tpPq+KkFeKZWKNC01ldtHjuFRuyYulStlWSfR2ppFc37hdJeOhWLDzFCmp7t0ZNGcX0i0ttZp/wKBoOiQoftdu0KPGg75WtrNzlk+K1LT1G+HmxobiwAqWsWrvT4Vbq/22skqSRvxciUp/iXKlBS1sH9ZkWhtXajLrYk2NoXaf24JA0RSbcNF20Tcut6wJxAI/qNU2kiVKSkAyI0UepZEIBCUBGQyGXIdr8UK9xfDoVQu7V7bsw8AF9+sl3UFAoFAIMgrpWpGKkkSF7dsY+8vs7FydMCv3Rv6FkkgEJQARGLv0k2hK9JEZe7Lp/fiLLXqMz+2PUmS2DH9ey5s3oqVkyM95/yCibm5VuOWNIqjzTQ/gQME2pMpSbcIpiAQ5JtSMyO9se8gFzZvxSuoHp2nf5Gly4tAIBDkB1V8XB33KTAMSo0ifXjpMgBvTPhQKFGBQKBTxNJu6aZUrJylJidzfe8BzMuUydXlRSAQCAQCbSjyGamtSUqmY7HJxmqvtfUbzcq2l5qczOOr17h95DiXt+0k7mkkLceMQCYvOc8Our6S4uhLmJtMJefTzBld2441/VCzSiYRnWSi9lqhYVdNyGX/Q0qqupTGRsXxDtMNYmm3dFOilnYlSeLWoaOc2bCJe2fOq5JylynrStNhg6n7/rt6llAgEAgEJY0SpUiPLlrGgbl/IVMo8Kxbmwo1a1ChdiDlqgeUqJmoQCAoXshkMmRyYSMtrZQYRfo8/AlHFizBwdOD9+f+irWzk75FEggEAkEpoNATe2uiaQ8FKG/5Uu21ph31ZIR67F0zY6XaaxN5Gpe3/kNqUhJvjBtuEEq0KHw2CztBui4ojr6spZGniaaZjuWWqFvTZqpZvyTbRDNRCDZSEbXecCgxM9I7J05jYmmBT1A9lLlXFwgEAp2RkUZN130KDIMSYThMSUriYfA1PGsHojAuMc8GAoFAIDAASoTWSU1ORlIqsbS307coAoGgFCLcX0o3Olek+fF387czU3u97aGF2mtjhXqvqUr1XlPT0l8nJyZzbNUmnj9+TJOhg4p1LF1t/SOzqm8INlBtEX6jWaPtZ6vt+2RplNkgEpuS88+Dpk3UXKHeR25+pgJBSaFEzEhNLCwwL1OGKzt3c2XnbgAubNpK9U4daDl2BAqjEnGZAoGgmCJCBJZuSsQDvlyhoEHf91WvG/R9HytnJ06vWsup5av1KJlAIBAISjolZqpWr1cPlCkpeDWoh5t/Nfzbv8n89/oRHxOjb9EEAkEJR0YhzEiF/4vBoPMZqVyjmCmUakUhkzKVHQ/lakWzj0pl4tRKFdtYtWKuUGJlKqPN0D5416gMQFxkFAC3Dh3l8LxFbP7sC04uX8Xz8PBcZc6qVLSKVyua16Br0jRKVmjKWBrQfF9yK8WRvNxvmqWg15lb+/hURaaiLQlKhVrRFh/rOLViSMhkINdxya9ejouLY9y4cbi5uWFmZkZgYCCrV+dtZS4iIoL+/fvj6OiIhYUFQUFB7N27N8u6e/bsISgoCAsLCxwdHenfvz8RERGZ6qWkpPDll1/i6emJqakpVapUYdasWZnqXblyhREjRhAUFISlpSUymYwDBw5kK+vq1asJDAzEzMwMNzc3xo0bR1ycfu6bEvv7Wz6wBgAxDx5y+M8FXN21h72/zuGv7n1IfPFCz9IJBAJB4dCtWzeWLFnC1KlT2bFjB3Xr1qVnz56sXLkyx3ZJSUm0atWKvXv3MnPmTLZs2YKLiwtt27bl4MGDanUPHjxIu3btcHFxYcuWLcycOZM9e/bQqlUrkpLUk46MGDGCb7/9lpEjR7Jr1y66du3K2LFj+eabb9TqnTlzhs2bN2Nvb0+rVq1ylHXFihX07NmTunXrsmPHDqZOncrixYvp1q2bFu+U7igxS7uaGJma0HTYYOIiI/Ft3pSUxEQ2jP+UlIQETixbRbNhg0X8XYFAoBNk8kKItZuP/rZv387u3btZuXIlPXv2BKBFixbcu3ePCRMm0KNHDxSKrFcLFixYQHBwMMeOHSMoKEjVtkaNGkycOJGTJ0+q6k6YMAFfX1/Wr1+P0avNnBUrVqRRo0YsXLiQ4cOHA+mzzAULFjB9+nQmTJgAQPPmzYmKimLatGkMGzYMe/v0yHV9+vShX79+AKxfv56tW7dmKadSqWTChAm88cYbzJs3TyWntbU1vXr1YseOHbRr107r964glFhNIpPJaDy4P20nj8erQT0qNWmEmbUVAMcWLuXbek1ZOmg4FzZvRZmSObWbQCAQGBqbNm3CysqK7t27qx0fMGAAjx49UlOGWbWtXLmySokCGBkZ0bt3b06dOkVYWBgAYWFhnD59mj59+qiUKEDDhg3x9fVl06ZNqmObN29GkiQGDBiQSZ6EhAR27typOibP48TmxIkTPH78OFOf3bt3x8rKSm38oqLQZ6RJaepvTlb5SGM08h5qEvrCUu21Zu7EMhp9Wqap+7NFJpkgVyh4b/YvLO43RHX84cXLPLx4mVMr1tDuk/F41ArMVoYyJup9SnFiI0BpQdf+uVnVL+gTbW7tc/NL1sxPmp8xCho3+fYLK7XXbhrf80cJ6v7mxYniEpAhODiYqlWrqik4gOrVq6vON2zYMNu2TZo0yXQ8o+2VK1dwd3cnODhY7bhm3aNHj6r16eTkhKura7byaEt24xsbG1OlSpV89VlQSuzSbla4+VVlxJa1XP13L4+vXufG/vR1/8i7oSz7YBT+7d4koF0bKtavizyb5Q+BQCDQpDD9SG/fvp3pnJOTE87OzpmOR0VF4eXllel4xvJpVFRUtuNFRUWp6uXUNuNvdnVfHyO7Pi0tLTExMclRnpzkzGn80NBQrfssKKVKkQLYurvRcEAfAKJC77N+wqdE3Q0FIHjHLoJ37KJ8zRq8P+tnjM0yZ8QQCASCoqRLly6Zjk2dOpUvvvgiy/o5KfTclL02bbOrm9d6eZEnJ/I6flFQYm2kecHBswI9Z/1EpSaNMLX8b/n4wfmL/DNtBlJacXWgEAgExQkZ/y3v6qy86nvz5s0EBwerlREjRmQph4ODQ5azvOjoaCDrWZy2bR0cHICsZ7fR0dFqY2TXZ3x8PMnJyTnKk5OceR2/qCjwjDTX2KgatpeEfPinaRKei61EG/Vn4+oC7b6gbMOnPPzrI1KfR2Dj7MSVnbuJuHUHB08P7CuUI6ZLR+zc3bIdIy5J/a20Mk3VQgpBXtFHvlJDeJwqqIx59UV9Hc3PIrenck07rCwX/2tThUiICODj44Ofn1+e6gYEBLBq1SpSU1PV7KSXL18GwN/fP8e2GfVeR7Ntxt/Lly/Tvn37THVfHyMgIIDVq1cTHh6uZifNizw5yZnRR7Vq1VTHU1NTuX79umq3clFSqmekr2NcxgmXbh9DWhqx4U9w86/Gs7BHXN+7n2OLlvFXj76cWL4KSdJ98AWBQGDYZNhIdV20pWvXrsTFxbFhwwa140uWLMHNzY369evn2Pb69etqO3tTU1NZvnw59evXx80tfSLh7u5OvXr1WL58OUrlfw87J06c4MaNG2q+nJ07d0Ymk7FkyRK1sRYvXoy5uTlt27bV+hrr169P2bJlWbx4sdrx9evXExcXpxdf0lJnI80JC+9AnLt+SMSmXzAvU4aUxPRdg3KFgpTERPb8Ooend0Op1+MdlGkSaUolaUoltu5uYJXZ8C8QCARFSbt27WjTpg3Dhw8nNjYWHx8fVq1axc6dO1m+fLnKh3TQoEEsWbKEO3fu4OHhAcDAgQOZM2cO3bt3Z8aMGTg7OzN37lxu3LjBnj171Mb57rvvaNOmDd27d2fEiBFEREQwefJk/P391dxS/Pz8GDRoEFOnTkWhUFC3bl3+/fdf/vrrL6ZNm6a2DPvy5Uu2b98OpCtlSA/8EBkZiaWlpco3VKFQ8P3339OnTx+GDh1Kz549uXXrFhMnTqRNmzb5Us4FRShSDcrUbU/8oSU8uXkLgN5/zcbY3IyNEz/n+eNwLm7ZxsUt2zK1q/72OzQb95EI8iAQlEZkhbDJJZ/dbdy4kc8++4wpU6YQHR1NlSpVWLVqFe+9956qjlKpRKlUqq2wmZqasnfvXiZOnMjo0aN5+fIlgYGB7Nixg2bNmqmN0bx5c7Zv386UKVPo2LEjFhYWvPXWW/zwww+Ymqpv0pw7dy7u7u7MmjWL8PBwPD09mTlzJqNHj1arFxERkcn/NWNDlYeHh9pu3N69e6NQKJgxYwaLFy/G3t6evn37Mn369Py9aQVEJmmxVnnlyhX8/f0ZumYpTt6Zt1jnFxsNP9DYZGOd9Z0V1yOs1V7LNWw1p6YO4sH5S+lB8IPq0f2X70lJTGTNmPGEXQrGo04tPOvVQa5QIJPJuHngMA8vXSawa0fafTJBKFOB1hR1Ltm83KEFzXGaW3+5oa0f6dM7Iczr0Zfg4OA82xQLSsZvovf4BZi5VtRp34nhd7nz46AivR5B/hC/+Fng5O2FMiWFqq1bEHL8FBsmfErMg4e8OfFDAO6dOYddeXeC+vWiQd/36Tn3Vyo2qMeFTVv558tvRKQkgUAgKEUIRZoFnvXqAGDl5ESVVs25ffgYi/oMZmHvQao6mz/9gtTkZACMzUzp/tO3VGrSiMvbdrJ69MckxMbqRXaBQFD0ZMTa1XURGAZCkWaBd8MGuFatzOnV66jbszuDViyiesf2uFf3T3eXAZAkVao2ACNTU97+YTq1332be2fOsaBnf/b9NjfLtG26Ij4mhrRU4WYjEAgE+qRYbDZ6kVIsxFBxO8qWGh9+z5Phb7Nr9lKafvMXb02tpDofFxmJJIG1k6NaO7mREW9O/BDHih4cXbCEE0tXcmXnbt6c9DGVmjTUqe30Wdgj/nynFzYuzgxYvgAzK6vcGwmKLYXtq1oYNlhtY+taG6s/9Gl+790tEtRe22nsnSjWsXYphFi7uu1OUIiIGWk2yBRGyI2MUCYnZTpn5eiYSYm+Tu3u3Ri9fROtxo3kRcRT1n88mcX9h3L3xGmd+aE+vROCMiWFmIdhPDh3QSd9CgQCgUB7itdUsJgQ/ySMQ5MHo0xJpnL3gfnqQyaXU793T7yC6nNh8z+cXbeRVaM+pHytQBoN7EvFenUKNkN97fH3zvGTGJmZcW33PpLi4un01ecojAt357NAIPgPuUyGXMdTUl33Jyg8hCLVIE2ZypEpo3gZGU7dj77GrX6z3BvlgJO3F20+HkO999/l6IIlXNy6ndWjPsLRqyK9/vgNS3u7fPUrk/2nhM+t28S5df/l4EtLTaXJBwNwruRTINkFAkEeKYTsLzpfKxYUGmJpV4N7+7bx4kEIVXoMxqNVR531W6asK+0/n8Twjauo3LI5kSF3WTZ4BPHRMfnq7/XMNLbuZWk5ZgT9Fv2BV1A9buw/yPye/Vk5YhzBO/7l7onTpCZlXqIWCAQCQcHR+YxUMxC1Mi8Jg/NQR5ekpqmPZ6L4T+bbW9dgamlJ+2FvY2b1Qudj27q70W3GV+yb9Tsnl61i2ZCRtPl4DF5B9bV6oi0f+F9SWycvLxr0fR+A92b9zOOr1zm5YjXX9uwn9NQZAFyr+NJy3Cg8atfUS5ohQcEo7Cfewuhfs0/NzUWaQezDXpqrvTaRq29XqmgVn2mMu3GWmY7pg+KS2FugH8TS7mskREcSc+sq1d5oVai7YGVyOa3GjsTGxZm9v85hzZjxlCnril/bNjQeMgAjE5Mc2yfGxbH351kAVGrSiLe+/EztfNlqVegy/QtajB7GwwuXeXz1OqdWrmHlsDHYlS9Hkw8G4te2jVCoAoFAoAPE0u5rxNy6CoBHnVpFMl7d97ozYvMa6vXqgUwu49iiZSwdOIxLW7eTFJf56RtAkiQ2Tvyci39vw8LejrafjMfcxibLumVc05Vz649GM3T9Sur36UlibCx//+8r1oz5mGdhjwrz8gSCUoMIyFC6ETPS15Ck9KWk3GaEusTG1YXWH46m5ejhHPxjPieXr+afL79h54wfsXF1xdTSAoWRcXpQbLmc+Khoou8/oFKTRnSePhUTC4s8jePgWYFWY0cS1K83+2bO4dLW7cx7rx995s3GtUrlQr5KgaBkI0P3m41kwpPUYMiXIk0jBwduDbtHcUzEXM1VPXyfSsYy6UGy9ZFxVG5kRItRw2jQ532u793P9X0HiXsaSXx0DGlKJVKahCSlISnT8KxXm07T8q5EX8fCtgxvTf2Uqm1asv7jT9gw8XMGLl+Q7axWUDwo7O+Nq0aAeMhsw3ySaJqpzusoctkfkem3IJfE3pr2TysjEcVLUDwRM9LXUD1R6jF5t3kZG2p260zNbp0LdRzvhg1oPvID9v46h9uHjxHQoehz+AkEJQWx2ah0I2ykr/PqztVV9KHijq27m75FEAgEAoNHKNLXUNkkSokitSvnDkD49Rt6lkQgMGxkrxJ767bo+6oEeSVfS7tystfAmnYSTdKy8BnVNvh1btpf26cD51f2oUiz9CDZpUSP4uTjTZmyrtw8eITWH40R7jClmIgsAsKX1QginxuaNlEjDT/Q5LScv5k//xWm9vqjD9zVXmf12yEQFAfEjPQ1Hl67DYCVo72eJSkaZDIZlZo25vmjxzy5cUvf4ggEhkthuL4I9xeDQSjSV0iSxMnNu7Cyt6Vig3r6FqdIiL7/gNDT6ZGPru3Zp2dpBALDJWOzka6LwDAQivQVoRev8fReGHXeaoXCqHRsZj65Yg2RIaEA3D58jGt79pP4QvdhEQUCgaAkU2CNoWm/1IUdIzefudzOa/t0EJ5gxo1r6VF+nGqWjtkoQKMBfXhw/gKRIaE8vRPCpsn/w8zGmgFL56s2IgmKJ5o+lXGpBfsqZ/Wd0ox962+r7n8d/Ezd91hbm6gmmjZRJzP1RAtPc/Fj1SciIEPppnRMvfKAsXn6ZgtlcoqeJSk6bFxdGLJ6Kc8fh5MQG8vdk6c5MPtP/nz7fcqUdcW2nDuOFT1w86tKWb9q2Lm7ZZlDNU2pJOT4KW4dOoIyJYU3Jn6Iibl5FiMKBAJByUMo0leYvFKkyS9f6lmSokUml2Pr7oatuxuuVSpjamnJ3ROniXkYxoPzF7l74pSqrpGpKQ6eHjh6eeLkVRHHip44enlyY/8h9s/6XVXPza8atd7pooerEQj0g0jsXboRivQVGUHiTSyLR1omfSCTyajdvRu1u3cD0jdgxTwM41HwVR5fvU7k3VAi74ZyZce/Ofazc8aPlAusjrOPV1GILRAIBHpF97F2DYCsZH/26DEAtm6uRStMMUYmk2Ffvhz25cvh3+4N1fHEuDiiQu8RGRJKZMhdnobcJeTYSbW2//7wC11nfMXzsMckvniBY0VPbFxdivoSdIK28aILI760Zp8vc7GJmiuUaq8TlIoc+8uLjJo2Uc34vOFZ+KLmhGYsX81cxrHJxlr1p09EiMDSjZiRviI2/AkANq5CkeaGmZUV7v5+uPv7qY5JaWk8DQnFxMKcw38t5PI/O5jZpqNau8ZDBtBkyIAs7awCgUFTGGnPhB+pwSB+0V7x7NFjTCzMMS8jsqDkB5lcjrOPF7ZuZXlryid0nfEVDhU91eocmbeIE0tX6kdAgUAgKCTEjJR0W2BkyF1sy7mLMHk6QCaXU7V1S6q0bM7Vf/dyauVaqr3Riot//8OB3+dhZmNd6NltBIKiJCM+rq77FBgGOlek+YmTW1AbUkGn1alJScRFRlGhds0C9iR4HZlcjl/bNvi1bQOAd+Mg1oz+mB3f/IBrlcqUrVZFzxJmjbb3cCZf6nyMmZSqacNUtxfamSWrvda0kZpq+HBq2kQTU9Rf34m0UnvtV/Z53oV9RW420dxsoLnVT9S4htzaCwT6QiztAsZmZphaWvIyJkbfopRoHD09qNqmJUC+kpILBMUVGYUQIlDfFyXIM0KRvsLeozxhl6/y/HG4vkUp0cQ9jQLA2sVJz5IIBAKBbhCK9BXNRwwlJSGBLZ9/qfIpFegeSUpfgpQrFLnUFAgMB5GPtHSjcxtpQePk6mLM/DwdVGxQl/q93+Pk8tUsGzKCztO/wMmroi7EK9VE3g3l3x9+IaBDOwI6tCVNmf5pFWcXGH34SJsaqft9ato0NWNYm2n4ib5U5vxgYmqkflUvXqjHsaVs5jYNnNQfKE88VQ9WomnT1JZHseo2VlfrxGxqpiPPYrGzuNhNZYXg/qJzdxpBoVF8f830QMuxI2k+cigRt+6wsPcgIu+G6lskgyfk+ClCT51l69RppCQmkpqYiNzIqNRk2BEIBCUfoUhfQyaT4dcufYeplJaGwthwIqsUV9z8q6n+v7Z7Hy8iIzGxEAHtBSULkY+0dCMUqQZPrt8CoMWooSKVmA5wD/DDvkI5AP758hvCr92gUpNGepZKIBAIdEexXF/TVrvr0qblXMkbuZER5zZsoVyAP+Wq+yOTyQw6trA+kclkNB48gL+nfA2kuxq1HDtSrzLlx9dZm/40yc+9Y2acsw1U029UE2Wa+nRG00/15LH7aq8b+Dpn6uOUhk1Us8+L99VdmGp6qGdOSkpVf2c07bQXLqsnka/ka6f22sFS3XfW3kL9dbGiEAIyiCmp4SBmpBrYurvx5vixPH/0mCWDhrOg9yDObdxS6tKr6ZIM31GAd2f+gKW9XQ61BQLDIyOxt06L8CQ1GIQizYLa73Tlg9VLqP1OF6IfPGD7Nz8wq303zqzdoG/RDBKFsTGOXp44eHrgIaJHCQSCEoZQpNngWNGTdpPHM3bHFtp9Mh4TC3P+/eFXnoeLgA35RZKKh6uCQKBr5LLCKQLDoFjaSDUpqA2rIPZNU0sLar/dBRMrK7Z89gWhJ89Qo/NbBeixdJIY+4IyZYs+RV1+nhS1zTeqCxQa/pCaPpq1HOLUXp+JUo+Vq4nmj7C5hs3Vzc06V5kC7NTj716MKaP2ukYFdXPH+96maq9X3lH3VdX0+ezQWPPn5wUCgSFiEIq0OGDt5AhAckKCniUxPJITEoiLjKJ8zRr6FkUgKBREQIbSjVjazSPmtulP43GRUXqWxPCIDAkFwMnbS7+CCAQCQSEgZqR5xPRVtpLY8Cd6lsTweHIz3TfXyUcoUkHJROQjLd0IRZpHjM3NMTI1JeLWHX2LYlAoU1M5uXw1RqamlKseoG9xBILCoTAiEQk9ajAYpCLVNtGyJvlxoDcvY0PFenW4dfgoypQUET4wj4RdvkL0vfvU7t6t2PqPanv/aHt/5cV+orm5SHOM3DYXaZJbMPc3mthoHEnJVMfRTD2UY037WLXXTmbqARlWajxjagZk0AwyIRCUFISNVAtSkpIwsTAXSlQLXCr5YGZtRciJU6QpxQ+poGSSnthb1wEZ8kdcXBzjxo3Dzc0NMzMzAgMDWb16dZ7aRkRE0L9/fxwdHbGwsCAoKIi9e/dmWXfPnj0EBQVhYWGBo6Mj/fv3JyIiIlO9lJQUvvzySzw9PTE1NaVKlSrMmjUryz5DQkLo1q0btra2WFlZ0aZNG86dO5epnqenZ5bv2bBhw/J0nbpGKFItUKamkqZMIyUx53RPgv8wtbIksEsnYh485NGVa/oWRyAo8XTr1o0lS5YwdepUduzYQd26denZsycrV67MsV1SUhKtWrVi7969zJw5ky1btuDi4kLbtm05ePCgWt2DBw/Srl07XFxc2LJlCzNnzmTPnj20atWKpCR1t6cRI0bw7bffMnLkSHbt2kXXrl0ZO3Ys33zzjVq9p0+f0qRJE27evMnChQtZu3YtiYmJNG/enBs3bmSSt1GjRhw/flytTJo0KZ/vWsEwyKVdfVEuwI8H5y4QvH0XNbt11rc4BkPllk05sWwltw4eplx1f32LIxDonOLi/rJ9+3Z2797NypUr6dmzJwAtWrTg3r17TJgwgR49eqBQZJ27dsGCBQQHB3Ps2DGCgoJUbWvUqMHEiRM5efKkqu6ECRPw9fVl/fr1GL1KiVixYkUaNWrEwoULGT58OABXrlxhwYIFTJ8+nQkTJgDQvHlzoqKimDZtGsOGDcPe3h6AH374gadPn3Ls2DE8PDwAaNy4Md7e3kyZMoU1a9aoyWtra0uDBg20fo8Kg2I5I03TKJrINUpB+89tvAyePXoMgF35cvkYtfTi5lcNSwd7bh46qm9R8oTm/ZVb0QV5vQczsFAo1Yq2lDFPUSutyiZnKnsfm6iV89E2auXfR0ZqRSGT1IqZsVKtCAqfTZs2YWVlRffu3dWODxgwgEePHqkpw6zaVq5cWaVEAYyMjOjduzenTp0iLCwMgLCwME6fPk2fPn1UShSgYcOG+Pr6smnTJtWxzZs3I0kSAwYMyCRPQkICO3fuVBu/ZcuWKiUKYGNjQ7du3di6dSupqalavhtFR7FUpMWVW4eO4uzrg2fd2voWxaCQyeVUatKIqLuhRN9/oG9xBAKdU1zykQYHB1O1alU1BQdQvXp11fmc2mbUy6rtlStX1PrIru7rYwQHB+Pk5ISrq2umeq/3lZCQwJ07d7LtMyEhgZCQELXjhw4dwtraGmNjY6pVq8ZPP/2EUk/7MMTSrhaUq+HP/XMXSYyLw8xKu12UpZ1KzRpzYfNWbh06Qv3ePfUtjkCgUwrTj/T27duZzjk5OeHsnDn1XVRUFF5emf21M5ZPo6KyDygTFRWlqpdT24y/2dV9fYzs+rS0tMTExERVNyYmBkmS8jQ+QIcOHahTpw7e3t7ExMSwbt06xo8fz4ULF1i2bFm211hYCEWqBZ716hB66ixPrt/Eo04tfYtjUHjWrYOxuTkXtmyjTo93xM5ngSCPdOnSJdOxqVOn8sUXX2RZPyeFnpuy16ZtdnXzWq8gdefMmaN2rnPnztjZ2TF79mw++ugjatYs2ixTBqlIc/Mj1dYvMK+8ePIUSM9ZKtAOYzNTGvTpyeG/FnJyxWoa9u+jb5F0RmEk9i5sNIPkH3mi/U9BbtddWN/D4khhzkg3b96Mj4+P2jknJ6cs2zg4OGQ564yOjgaynkVq29bBwQHIenYbHR2tNoaDgwMXLlzIVC8+Pp7k5GRVXTs7O2QyWb5lB+jduzezZ8/mxIkTRa5IhY1UC9LS0n8KXsY8068gBkpQ/97YVyjPkXmLiHkYpm9xBAKDwMfHBz8/P7WS1bIuQEBAANeuXcu0Mefy5csA+Ptnv2s+ICBAVS+nthl/s6v7+hgBAQE8ffqUcI30k5p9mpub4+Pjk22f5ubmWS5Zv05Gmka5vOjVmlCkWlDr7XSXlwNz/xK5NfOBkYkJ7T6dQGpSMtu+niECNAhKDDJ0n4s0P/Pbrl27EhcXx4YNG9SOL1myBDc3N+rXr59j2+vXr6vt7E1NTWX58uXUr18fN7f0lTh3d3fq1avH8uXL1Tb3nDhxghs3btCtWzfVsc6dOyOTyViyZInaWIsXL8bc3Jy2bduqjb9v3z4ePPhvQ+KLFy/YuHEjnTp1yrSBSpOlS5cC6MUlxiCXdvWFi28lqndsz6Wt2zm3YTO13+mqb5EMDo86tajVvSvn1m3ixLKVJWqJVyDQN+3ataNNmzYMHz6c2NhYfHx8WLVqFTt37mT58uUqH9JBgwaxZMkS7ty5o3I3GThwIHPmzKF79+7MmDEDZ2dn5s6dy40bN9izZ4/aON999x1t2rShe/fujBgxgoiICCZPnoy/v7+aq4ufnx+DBg1i6tSpKBQK6taty7///stff/3FtGnT1JZrx48fz7Jly+jQoQNfffUVpqamzJgxg8TERDV78MqVK9m4cSMdOnTAw8ODZ8+esW7dOlavXk3//v2pUaPo0zUahCItaltLVtP0jDFbfzyG0NNn2f/bXHybNVHlKRXknVZjR3H/7HkO/T4fzzq1cfOvpm+RtKIwYu1q2+dLZdZO9RkY5xJrN0Ujtq9SKrh9L7e9C9piIlfvMTmt+C6gyWRSrvGN89Nnfti4cSOfffYZU6ZMITo6mipVqrBq1Sree+89VR2lUolSqVRbWTM1NWXv3r1MnDiR0aNH8/LlSwIDA9mxYwfNmjVTG6N58+Zs376dKVOm0LFjRywsLHjrrbf44YcfMDVVT/A+d+5c3N3dmTVrFuHh4Xh6ejJz5kxGjx6tVs/JyYnDhw8zfvx4+vXrR2pqKkFBQRw4cIAqVaqo6nl5efHs2TM+/fRToqKiMDY2xs/Pj7lz5zJ06NB8vWcFRSZpsUZ55coV/P39GbJmaZHmlsxNkep6s0dOihQgeMe//P2/r3hz0kfU7t4ti9qC3Ii4dZtF/T7AxtmJAcvmY2ZtXSjjFMZPb0GTIuiiz9zqa6tI84O230ttv4faKtKnd0KY16MvwcHB+Pn5aTla/sj4TWw1dyM2Hj65N9CC2Hu32TuiW5FejyB/FN9HvGJMhVqBAIRfyxz/UZA3nCv50HLMCGIehrG4/1AiQ+/pWySBQCDIF/lSpEcXLiM5IUHXshgM1s5OOPl4c/XfvcRFRetbHIOlTo+3af3xmHRl2m8Itw4d0bdIAkG+kMukQikCwyBfivTqrt0s7DWQ+JgYXcuTJbnFIc1v7Ny8jpdG+jJTRjFVSNTs2omUxEQeXsy8XVuQN2QyGfV6vkvP2T+jMDJm3UeTObZYt1FJcrs38nK/aHs/5ed+zC2er7bxp5WSTK2kaBRdUND3LbeYxclpcrUiEBRX8n13Rt9/wNYpX+tSFoPi8dX0lGBOXhX1LInh41m3NgOWzce5kjcHZv/J8cXL9S2SQKA1Mh0XgeFQoMe8kOOnSm1uzuSERJDJsHF10bcoJQJbt7L0+mMWzpW82T/7D06vXq9vkQSCPCOWdks3BVKkLpV9MTYz05UsBoV7QDWQJEJPnda3KCUG8zI29JzzKw6eHuz+aSYRt+/oWySBQCDIlQIp0ic3brLnl1mlIjWWpr1GUqZbfcxsCsdto7RiaW9Hp6//B5LE0QVL9SJDQW3s2vafFzuqtjlRC/saBOrIKIQ0avq+KEGeybci9axXG/sK5Ti1Yg1/du/Nzhk/khAbq0vZijX3z18EmQwX30r6FqXEUbZqFdz8qhJ66owIxSgQCIo9+YpsVKF2Td6fOxNJkrh/9jwH587j3PrNhBw/ydvff4NL5ZKvXFKTkkCSkCtyjjAjyB9l/arx6Mo1nj8Ox9atrL7FEQhyJL+JuHPrU2AY5GtG6lm3NpDuvuBRpxZ9Fsyl7eTxvIiIZN1Hk0jTyDxQEpEkCRMLcxQmJvoWpURi5ZieqimxFK1yCAQCwyRfirRyi6Zqr2UyGbXe6ULDAX2IfRLBrcNHdSJccUWSJCJD7uLoVVHnOQgF6RiZpCf+Tk1O0bMkudsjczufH/Lj/5qTTVQhk9RKYVAY70NxHDMrZDLd79wVPy2Gg07vvcCunTAyNeXg7/NK9Kz04cVLvIx5hntA9rn9BAUjNSkZSE+9JhAUd3TtQyp8SQ0LnSpSaydH6vXqQWRIKLePHNdl18WKiNshAJStViWXmoL8IEkSZ9dvAuD6vgMkxb/Us0QCgUCQPTpfDan2RmsAwi4H67rrYkOGjfjS1m16lqRkkhz/krinkQAcW7iUP9/uSfh1kSBAUHwRARlKNzrPR+roWQEjU1PCr9/UddfFBikt3QplV66cniUpmZhaWdLrz1kkvnhB3NNI9v46m5XDx9L7r9k4V9Jtqqq8UBL8MHWRbzQ3tH2fdPG+pmXzv0BQlOhckcqNjLCwLUPiizhdd11suLH/EAC+zZvoWZKSi0ftmqr/7cuXZ+2HE1k7biIDVyzEwtZWf4IJBFkg3F9KN4Wy0U1hYoIyJbkwutY7kiRxcvkqjExNVHlJBYVLxQZ1eWPih8Q+ieDMmg36FkcgEAjU0LkildLSiIuMwrxMGV13XWwwtbREJpOT8Oy5vkUpNdTo1AFLBwduHjysb1EEgszIJGQ6LggbqcGgc0X6PPwJKQkJOPl46bprvWIskzCWSZjI4c2PRpOSmMi/P/xKmlKpb9FKBXKFAvMyNiiLoV+ppg+ntn6nhbEsVFz8KwuCIV1DbrGQ81sEhoHOPyuFcbojfcTN2yU2TmqVFk2oWL8uNw8e5t7pc/oWp9QgV8hVG70EAoGguKBzRWrt5EjAW+24f+4CT0toGiyZTEajwf0B2DLlKx5cuKhfgUoJKYlJqgc1gaA4IUP3S7sySuZEpCRSKKsHVVo1B+DBxcuF0X2xoHxgdRoO7EtSXDz//jBTLPEWMmlKJc8fh1PGzVXfoggEAoEahaJIMzYaJZegiDSZnxhlNB/xATW7duLJjZsc+mO+vkUs0cRFRpGWmkqZssUvE0xBbaZZ9VHQ+L7a5jctDAo6hiHlVJXLCqcIDINC+Q49C3sEgK27W2F0X6xoOXYEZtZWhJ4+q29RSgUZEY8EAoGguFAoijT6/gMAbN2L3+xB1xiZmODk483jq9d5WIKXsvWNtbMTFevX5cb+g4QcP6lvcQQCdYT7S6mmUBTp3ZOnMbEwx9nHuzC6L3a0+3QCCmMj/vlyOsoSnPVGn8hkMtr/bxJGpiYcmPuXvsURCNQQS7ulG50r0viYGMIuX6Fig/qlZoelY0VPGg7oS/T9h1zc/E+m86nJyez5ZRaRoff0IF3JoYyrK5YODiTHx+tbFIFAIFChc0UacvQESBIV69dRDVDcnI5N5WlqJS8kp8nViib1evXA3NaWY4uWcv/8RTUf2rXjJnBqxRpOLFmhs2sojcSGP+H5o8e4Vw/Qqxy5JdUujPtb2z6L4jtXUJl0UV/fvyUZyJAKpQgMA53fey9fhc3b+e2PfNewJStGjONxKUiBZWJuTpMhA4h9EsHyISP5690+3Dt7HiktjSc3bgPw6MpVPUtp2GS4U4kYxwKBoDih8+wvAW+1I/bJE17GPCM+OoZ75y6wZNAIBi2bj5NXRV0PV6yo0+NtPOrW4sKmrZzfuJk9P/3GoJWLGLx6CTf2HaRcDf3OpAyd2PAnACSJpV1BMUNkfynd6FyRWtiWoc3HY1Wv7585x/JhY9j4yVT6zpuNuY2NrocsVjh5VaTNx2NIeP6c4O27WNxvCI5eFWk+ahhWDvb6Fs+gibiVPrO/ffgoN/cfwtbdjUaD+mFXzl3PkglKOzIZOk/ELRSp4VDoZoUKdWrRYvRwnt4J4cDv87O0KRU1SWlytVIYtBg9HJ8mDYkJe8ylrdv554tpIk5sAanRpSMmlhaEnjrL/XMXuLR1O4v6DCLmYZhe5SoOdrriIIO2GKLMAkFWFMn9G9SvF5YODqXKRmjt5Mi7v3zPh3v+wbNebUKOnxK7dguIZ51ajNmxmVHbNvLh3u10njaVxBdxHF2wRN+iCUo5Mv5b3tVZ0fdFCfJMkT0IulbxJeLWHVKTkopqyGJDRshES3uxtFtQTCwssHFxxryMDX5t2+BaxZcb+w6WyvtKIBAUD4pMkZarEYAyJYXH164X1ZDFBidvLwBOLBXuL7rGr+0bJMXHc/PQEX2LIijFyGVSoRSBYVBkitTCzhaA5JcJRTVkscG8TPoGqxNLV+pZkpKHX9vWGJmasm/mXOKiovUtTqkit70OufnbaiJspgJDpcju15j7D4H0mKmljcotmmFua4uZtZUIIahjrBwdeXPSR8SGP2H9R5NQpqToWyRBKURWSEVgGBSZIg09cxYLO9sS70uaFVaODgR27kDiizi+C2rBxkmfo0xJIXj7Lr6p05hv6jRmxfCxRN27r29RDZIanTrQoO/7PLpyjVMr1+pbHEEpROcbjQrBL1VQeBSZIk2MjSVNqeTJzVtFNWSxounwITQdNhhbN1eu7z3Axomf8/eUr1Xn750+y1/v9mHj5P+RkpioR0kNk2bDh2BiYc7to8f1LYpAIChlFJkibTZiKCmJSSwdNJzgHf/mWLeobSWasXezKgVFYWRE48H96b9kHrbubtw6fBQAI1NThm1cRaev/gfA9T37ObpwaYHHK20ojI1x8/fj8ZWrJBVxQnltbYG6GKM49FfQ5OO6kFHfPukZyApho5FMbDYyGHQe2Sg7/N5sjZ27Gxsmfsbf//uK8Gs3qNPjbWxcXZArFEUlht6xsLVl2MZVRD94iKRUYl+hPApjY+wrlKdSsyb83rUHxxYuRZmcTIN+vbC0s9O3yAZDtTdaE3rqDOvHf0LToQMpV6M6MrE+JhAICpki3Rzn5l+NAUvnUy6wOqdWrmFu53dZ2GcQCc9ji1IMvSNXKHD09MDJ20st1ZyppQV95s3Brnw5Ti5fzcw2Hbl76oweJTUsqndsh2+Lptw7fZZlg0cSvG2nvkUSlBKEjbR0U+S7zK0cHej1+0zafTaRgLfaEXHzNitHjFPFUS3tOHhUYPCqJQR0aAvAqhHjeHDhkp6lMgzkCgVdpn9Bxy8/R65QcHzpCrV0dgKBQFAY6MVdS2FsTM2unej4xWc0GTqIiFu3WdTvA5UyLWy7h6b9UzP2blalKDE2M6Xjl5/T6av/YWRqwrLBI9j29QyePXpcpHIYIkYmJgR0aEudHu8QGRLKvbPn9S1SrjbU/NzjeelT13bbgto8C5qPVCGTMpXighypUIrAMNC733OTIQPo9cdvpKWmsrj/BxyY+xdrP5zIxkmfc6uUR6vxb/8mPef8imsVXy5u+Ye/uvfmachdfYtlENTq3hWAM2vW61kSQWlALO2WbvSuSCE9UXP3n7+jTNmyHFu4lDtHT3B930HWfTSZw38tLNXLc+UDqzNg2QLafz6Z1KQktn89Q0TwyQP25cvh3SiIm/sPsXfmHNJEIAyBQFBIFAtFCuDTOIgBy+bTbMQH9F0wl1Fb1+NS2ZfDfy1k3UeTePnsub5F1BsymYwanTtQuWVzwi5fYf57fTmzdoPe04cVdzr8bzLlqgdwctkqVo36iBcRT/UtkqDEku6uostCPpd24+LiGDduHG5ubpiZmREYGMjq1avz1DYiIoL+/fvj6OiIhYUFQUFB7N27N8u6e/bsISgoCAsLCxwdHenfvz8RERGZ6qWkpPDll1/i6emJqakpVapUYdasWVn2GRISQrdu3bC1tcXKyoo2bdpw7ty5LOuuXr2awMBAzMzMcHNzY9y4ccTFxeXpOnVNsVGkACbm5jQa2Bf3AH9sXF3oM38O/u3f5PbhYyzoNYCbBw7rJARcbvbPwvAjLSgymYzO06bQcEAfXj57zr/f/8K8Hn15eClY52NJklQisqlYOTrQ68/fqNW9K/fOnGPee325f+6CvsXKkuLiD6lLdG23NZGnZSoiPm9munXrxpIlS5g6dSo7duygbt269OzZk5Urc471nZSURKtWrdi7dy8zZ85ky5YtuLi40LZtWw4ePKhW9+DBg7Rr1w4XFxe2bNnCzJkz2bNnD61atSJJ47djxIgRfPvtt4wcOZJdu3bRtWtXxo4dyzfffKNW7+nTpzRp0oSbN2+ycOFC1q5dS2JiIs2bN+fGjRtqdVesWEHPnj2pW7cuO3bsYOrUqSxevJhu3boV4J3LPzJJi3XTK1eu4O/vz5A1S1UZTQobSZK4/M8Odn33MymJiZhaWuLdOIjKLZri3bABJhYWOh8zK8VZ1BuOciL6/gMeXLjEzhk/YV7Ghm7fTaNcdf8C9SmlpXHozwU8uXmL8Os3iXsaSY1OHWg8ZABlyrrqSHL9cfPAYTZO/h+e9Wrz3m8/6VucXNG824qDcs3tG1BQGXPr31ShzHQsSfmfD/rTOyH82aMvwcHB+Pn5FVCavJHxmzh49TKd/yY+vRPC/Pf6aHU927dvp0OHDqxcuZKePXuqjr/xxhtcuXKF+/fvo8jGb3/u3LmMHDmSY8eOERQUBEBqaio1atTAysqKkydPqurWq1eP+Ph4Ll68iJFRejiCY8eO0ahRI+bOncvw4cOB9PcnICCA6dOn88knn6jaf/DBByxfvpyHDx9i/yq95MSJE/n111+5desWHh4eAMTGxuLt7U3Lli1Zs2YNAEqlkvLlyxMQEMCuXbtUfa5cuZJevXqxfft22rVrl6f3S1cUH+2QDTKZjOod2zNk7TKajxyKvUcFru7aw6bJU5j91tvcPHBY3yIWOfYVylOjUwfemvopcU8jWTViXK7RonIjPjqGowuWcPvwMeKeRgJw8e9tzOnUnQubt+pCbL3i27wJlvZ2xIY/0bcoAkGhsWnTJqysrOjevbva8QEDBvDo0SM1ZZhV28qVK6uUKICRkRG9e/fm1KlThIWlm5LCwsI4ffo0ffr0USlRgIYNG+Lr68umTZtUxzZv3owkSQwYMCCTPAkJCezc+Z+v96ZNm2jZsqVKiQLY2NjQrVs3tm7dSuqrfQ4nTpzg8ePHmfrs3r07VlZWauMXFcVekWZg61aWhgP6MGDpPEZt20ib8WORyeSsH/8Ju3+aWSqzfvi92Zruv3yH3MiIv//3FWfWbMh3X5b2dhiZmgDQd8HvDFmzlPafT8bWzZXt077j4B/zDX7Tl7WTI5EhoWyY+Dl3RExegQ7RtX30Pzsp3L59mytXrqiVrGyRAMHBwVStWlVNwQFUr15ddT47goODVfWyanvlyhW1PrKr+/oYwcHBODk54erqmqne630lJCRw586dbPtMSEggJCQkx/GNjY2pUqVKjtdYWBiMIn0dGxdn6r7XnUErF1GuRgCnV61j0+Qpef6hz82ukpImz1S07aOoqNSkEUPXr8DeowL//vALe3+dna+g9wmxL1CmKqnUtDHlagTg5O1FYJe36LvgD8pWq8LR+Yu5uOWfQriCoqPrd1/jUacWN/YdYO1Hk3l6J6RQxtE2Bm1R3D9Zjalt0UTzR1/b9prnc7OZJikVmUpxQRfvb3bvWZcuXfD391crc+fOzVKOqKgo1VLp62Qci4qKyvYa8to24292dV8fI7s+LS0tMTExUdWNiYlBkiSdj19UGKQizcDGxZnef86iaptW3Dx4uNT6DFo5OtBz9s84+/pwcvlqFvUdwomlK0l+mffg7Yf/WoikVFK1dYtMfb8/dybmtrbsmzmH3T/9ZrA5Vcu4utLrj99oO3k8klJJ5N1QfYskEOTK5s2bCQ4OVisjRozItn5O8aVziz2tTdvs6ua1XmHV1Ud8bYNWpAByIyPafz4Ju/Ll2DdzLo+vXde3SHqhTFlXBi1fSOMhA3gWFsa+3+ay67uf8zRLT4p/ybn1m3AP8MOvbZtM502tLOnw+SQSX8RxetVazq0vehuELokMDQXAxtVFv4IISg4y3S/vZmT29vHxwc/PT604OztnKYaDg0OWM7Lo6HTf86xmcdq2dXBwALKe3UZHR6uNkV2f8fHxJCcnq+ra2dkhk8l0Pn5RYfCKFNKDvXf99kskSWJRn8H82uYtFvYZxPoJn3Jg7l+EBV9BSisO+x4LF5lcTtOhgxj77z8ojI25vG0nC3sPIuTEqRwVavT9+0hpaXgF1Ucmz/qW8G3ehHF7tgFwcO5fBuuT+ezRY85v/BsX30q4+VXTtzgCgU4JCAjg2rVrqo05GVy+fBkAf//sd/cHBASo6uXUNuNvdnVfHyMgIICnT58SHh6eY5/m5ub4+Phk26e5uTleXl6qPrMaPzU1levXr+d4jYVFiVCkAK5VKvPOj99S7c3W2Fcoz8voGG4dPMKxhUtZ0n8os9p3Zcc3P3Dn2AmSk5PVbDG52WryUqc4YWppQa8/Z+HX7g2e3LjJ6lEfse7DSaQmJ2dZP8O95cquPUTdu59tvxa2Zeg8bQrJLxPY80vWDtXFnQNz/kSZnEyrD0fpLcWaod9fGSglmVrJTWZDvMa8Upg2Um3o2rUrcXFxbNigvvFwyZIluLm5Ub9+/RzbXr9+XW1nb2pqKsuXL6d+/fq4ubkB4O7uTr169Vi+fDlK5X8uSSdOnODGjRtqvpydO3dGJpOxZMkStbEWL16Mubk5bdu2VRt/3759PHjwQHXsxYsXbNy4kU6dOqk2UNWvX5+yZcuyePFitT7Xr19PXFycXnxJiywfaVHg0zgIn8b/bd1OS03l8bXr3DxwmJsHj3B+4xbOb9yCiaUF3g0b0GToIBw9PXLo0XApV92fctX9aTigD0fnL+bqv3vZOOlz3v5+ulrqNkjPkdpyzAj2z/mTFcPGMGTNUsxtbLLs16/tG2z5/Cuu7d5H/d49cfOrWhSXoxOePw7n2u59VGxQD8+6tfUtjqAE8fouW132qS3t2rWjTZs2DB8+nNjYWHx8fFi1ahU7d+5k+fLlKh/SQYMGsWTJEu7cuaNyNxk4cCBz5syhe/fuzJgxA2dnZ+bOncuNGzfYs2eP2jjfffcdbdq0oXv37owYMYKIiAgmT56Mv7+/mluKn58fgwYNYurUqSgUCurWrcu///7LX3/9xbRp09SWYcePH8+yZcvo0KEDX331FaampsyYMYPExES++OILVT2FQsH3339Pnz59GDp0KD179uTWrVtMnDiRNm3aqCnnoqJEKVJN5EZGuAf44x7gT4vRw4kMvcetA4e5efAw13bv496Zc7z/+2+4+njpW9RCw8mrIp2nTVUt9W76dCpdv/0Khcb2+AZ93wdg329zWTNmPP0W/pHlMm9U6H8zVmMz08IVXsdkLPFXadlM36IIBIXGxo0b+eyzz5gyZQrR0dFUqVKFVatW8d5776nqKJVKlEqlmsnH1NSUvXv3MnHiREaPHs3Lly8JDAxkx44dNGum/p1p3rw527dvZ8qUKXTs2BELCwveeustfvjhB0xN1X8X5s6di7u7O7NmzSI8PBxPT09mzpzJ6NGj1eo5OTlx+PBhxo8fT79+/UhNTSUoKIgDBw5QpUoVtbq9e/dGoVAwY8YMFi9ejL29PX379mX69Om6ehu1othHNiosMiLdmFpZ0eePmTj7eKvOZbcs9TqGthSVplSydeo0ruzcTZVWzeky/QvkGspUkiS2Tp1G8PZdNB4ygKZDB2Xq58TSlez7bS6dp03NcmNSceb543DmdHyHcoHV6fTV/7B1K4skSTy5cYvkhATkcjllyrpi7exUoHHyc68U9v1VGDac3GTMbcyCttdEn5GNRq5bgrN3RZ32HXHnLnO69yvS6xHkjxI9I80J3+ZNePv7aWyY+DnLho7hvdk/UbZqlWzrG5ri1ESuUNDxi89IU6Zxbfdetsi/4q2pn6nNKmUyGW0/Gc/Di5c5Mm8RlvZ21O6ubm8wL5O+5KuphA2BMmVdCezSkQubtzK3U3c869UmLjKKyJBQVR25QkFQ/940HTa40Gyo+tiYoHn/5kVxa6vcNfODKiWRB0xQOigxm43yQ6WmjXnnx29JSUxg5bCxPLhwSd8iFSpyIyM6ff0/KrdszrXd+1jQawDh19WDQZuYm9Prz98ws7Hm7LrMbi4Or2zKh/9awMnlq7l16AjJL18ScfsOsU8ieHLzFrHhT4i8G5rt5iZ90v7zSbw3+2eqtGpO6KmzRIaEYu3iTOuPx9Bq3EicvL3SQyUeOaZvUQUGhEwmIddx0bXNVVB4GN60Qsf4NA7i3Zk/su7DSawe/TE9Z/9MuRoB+har0FAYGdH12y85uXw1h/6Yz/IPRjFg2QIcPCqo6pRxdaVCzUBuHjzMyhHjUBgbU7t7N3waB+Fe3Z8mHwzk+JLl7P11do5jOVT0pO/8uapZbHHBq0E9vBrU4/ymv9n13c/U7/Ue9Xq+C0DVNq2Y06k7Z1avp1KTRnqWVCAQGAKlekaagWedWvSc/TMAa8aM58mNW3qWqHCRKxQE9etF52lTSX6ZwImlmdMrtRw7grLVqnD/3AXuHD3O2g8n8vBSMDKZjCYfDGT09s30njeHOu+9Q5myrlRp3YLArp1oMnQQgV07AhB1NzTTjLc4UbNrJyYe2UPdnukBvpUpKVjY2VKlZXPunjxd4u8Dge6QFVIRGAalfkaaQbkaAXT/5TvWjP6YdR9Nov+SeVg5OuhbrELFxDI9BV3I8cwZIewrlGfA0vkA3Dp8lHUfTuLM6nWqdG3mZWyoULMGFWrW4I3x4zK1f3LjNs8ePcazXp3CuwAdkGHrvbJzN1s+/xLXqpVp/dEYru3ey40Dh3CpXEnPEgoMATnpy7G67lNgGAhF+hqedWrR/rOJbP1iOksHDefdmT/k2c+0OO7qNdHIq5r8WvD9uMhItnz2JSaWFnSd8XWO/ZSrEYCVowPX9x3kUfBV3Pxzjwhk6+7G46vXiHkYhn35cvm7gELk2p59nNuwhfioKNKUaUS/CkRhZGyC8pVt18zKCtD+s81tY09e2hQ2eRlP2+uQNDYXFcfvhEBQGIilXQ0C3mpH20/G8zz8CUsHDOXg7/M4vXo9CbGx+hZNp4Rfv0XC8+ckv0zI1ZXJ3MaGd36agVwhZ8XwsZxYupKE5zm/Hy6+PgDE6yETgyaSJHFq5Vr+7N6b06vXs+2rb9k0eQqPLl9BSlN/6nepXEmV49ajbi19iCswQGSywikCw0Ao0iyo9XYX3pv5I5IERxcsYfePv/L3/3KetRkaXkH1MDY3B0ni0tbtudZ386vKe7N/wcTCgn2/zWXZkJE57sp9GfMMgMdX9J9E4OiCJez5+Tei7oay+8dfufj3Nio2qMfwLWsZun4FwzasZMKRPcjkcm4dPsq9s+cBuLxtp8FmuhEIBEWHUKTZULFBXUb9s4HBq5fi5l+NuydOkZqUpG+xdIZcoeDdX74DYPePv3Jk/uJc21SoWYORf6+lTo93iAy5y+9d3+PUyrVZKhtz2zIAlNVzCMGYh2EcnrcI50rejNiylo5ffs47P83gvd9+xMrhv/BkibEvkNLSsK9QjraTP8bK0YFTK9Zw6I/5epReYCiIzUalG6FIc8DUyhJnHy8qN29KmlLJ1X/36qzvgganzgvJaXK1oolHnVq8MfFDAM5v3KIW/i87jExNafXhKFqOGYEyJYU9P//G4r5DSE5IUKuXMSMto+dUZZe37URSKmk1dhS27m4EdGiLb7PGmcIfyo0ztgvIqFArkPdm/QTAqRVreBb+pEDB1Q01OHtu92hhX1dWwf1zKwKBPhCKNA8EduuETKHg0tbtnFy+irsnTpNWQpb86rz7Nm0nj+dFxFPmvdeXhxczpzHSRGFkRIO+7/PB2mVUbtGMJzdvsXrUR2rKVCZPf56Oi9SvjfTG/kOY29rmau80s7bG3NaW+2fP8+jKNZwr+dDtu2koU1I4/NfCIpJWYKiIgAylG6FI84C5jQ0+DRtw/9wF9v46h1WjPmTmm53Y9vUMkuLi9S1egan1The6zviatNRUzqxZz7U9+zk8bxH3zpzLsZ2FrS3dvp9GvV49eHjxMrt/+FV1zr/dGyCTsW/W74UsffYkxMby9PYdvBrURf4q60V2KIyM6P7zDORGCtaOm8Dzx+E4V0qPvxz94GFRiCswYMTSbulGuL/kkfZTJrNm9MeUrVYVK0cHruzaw8Ut/2BuY0PLsSP0LV6Bqdq6BSf9qnLz4GEeXLikStz96ZkjObaTyWS0GjeKB+cvcfHvbfh3aItH7Zq4VqlMuer+3D97noTnsXqJbhR+/SZAjjGUX6dcdX86T5vKhgmfsX/2H6qHpPq9exaajAKBwPARM9I8Ymlnx8DlC2n36QSafDCQoeuWY1fOneAdu0hJTMo1UbMhJDVuOXYkqUnJaku0eUkOJJPJaP/5RBQmJqwZM57t07/j+eNwVYi9We27su6jyUTcul1osmdFzKuZpKOXZ57bVG7RDO+GDbi6aw+x4U8AiH3ypDDEU6MobOYFJbd7tjje00WFrpd1M4rAMCiu39lij0wup3b3bsRFRnFh81Z9i6MTnF/5fia9iFMdu7H/UJ7auvhW4r1ZP+Hg6cGFTVtZPnQ0AR3b03LMCFKTkrh16IhON2vlhQxf14wdxHml+aihAJjapAdkiLp7T7eCCQSCEoVQpAWg5ttdALh3NmdboqFwYPYfQPpu3gq1AjE2M8NCCyXkUbsmg1YspOmwwTx/9JjZ7bsSE/YI3+ZNAKj5dudCkTs7MtyVjEy1S0Du4luJqm1a8fD8JaycHLl56AhSWmmbYwm0QdhISzfCRloAFK9cJnLbyGIoRN9PXwptNW4krlUq57ufRgP7YutWlrPrNnJ+w2bVcUs7u4KKqBXmZdIfAuIio3DyynvSZSktjej7DzAyNcG3aWPObdhM+PWblK2WN1uroBQiQ/e7bIUmNRjEjLQAyORyrJwcub5nPz80bs2Ob35QncvNXpSbDVUf1H3vHQCOzFtcoH5kcjn+7d/k/d9/U2VWkSkURf7A4eBRHoATi5fn+n6/Xp5cu8GTGzcJ7NKRB+cvAhC8Y1euYRFLGgW1eZZmm6mgdCEUaQGQyWRU79gegJTERM5v+pvn4eF6lir/OPmku3vEx8QAkPzyJVd27ubAnD/5o1tPwi4Ha9WfsZkpbT4eS4/ffqT7TzNUmVaKiooN6mFqZcUTLTc5JTx/DoCDRwViwh4BcHrVOn5t8xb//vBrnjZgCUoX2jyoaVMEhoFY2i0gjQf3x92/GspUJRsnfsauGT9j6+6GwtgIrwb1qdigrr5FzDMZfqMZ9sBF/T4g6m6o6vySAcMAaDZ8CI0G9ctzv94NG+hOSC0I3r6LpLg4GvTRzn0l8lWEJzs3NwYs+oPrB9NtpCHHT3JmzXrKBQZQrU2rwhBZIBAYIEKRFhAjExMqNW2MMjUVRy9Pbh85pjp3csUaOn35Of7t39SjhHmnSqsWHF2whOh790mIjVUp0cotmnFj/0FVvYO/z6NW966Y2xS9b2heuXf2PDu++QFTKyvq9XxXq7Z3T55GrlBQvmYNTC0tcPJNz0lap8c7zO30DjumfQ8SVHtDKFNBOrJCiEQkIhsZDmL1QEcojIzot+gvOk+bwpC1yxi0YhHWTo78PeVrzm/62yBihppaWtBoYF8SX8Qxq11X1fHqndozZudmfJo0VB07uXy1PkTMlfjoGP758htWDBuDTC6n9++/YuPslOf2oWfOcffUGdxrBGBsaaH2WVjYlqHLN18iNzZm86dTObZ4WZ76zM9yXUGX+MQSoUBQdIjvmA4xtbTAr+0bOHlVxKVyJfot/AOFiQk7pn/P1i+mG0R83uod21O2WlWV64ibX1Uq1q+LlaMj7/7yPQFvtQPg/pnz+hQzSyJuhzDzjY5c2rodd/9q9F8yL89RjTI4PH8xypQU6vd6L8vzPo0b0mf+HAAOzP6TZ69sqILSjbCRlm7EZ1WI2Li60GL0MGxcXbj8zw7OG0DgBplcTr9FfzBy63rG/ruV/kvmYWRiojrfYvRwABLj4tTaSZKk99ydrz+oJDx/TsTNW1o9vDwPf8KD8xcxL1MG9+p+2dZz9PSg2fAhACzsPZDNn31ByPGTwte0VCOplnd1VUAs7RoKQpEWMvV6vkv7zycBkJqYqGdp8oZcoaBMWVcs7TP7fSbGpruAlKvurzp2+8hxFrzfnx8atWJxvyFFHgowA9cqvozdvZUmHwwkLiqav6d8zewuPbi+72CeFOrFrdtJUyp5Y+KHufq8BvXrRaPB/bErX56ru/awevTHbP7sS6FMBYJSiNhsVAQ4VvRErlCw99c5PL1zl7afjFeb5RkSZtbWAFzYvBWvoPpE33/AgTl/IpPLcfH1IfzGLZYNGcWobRsxtbQocvks7exo8sFA6rz3DieXr+bYwqWsn/gZZdzK8u6v32Pj4oKZhTky2X/e7mmkB204PH8x9hXKUalpo1zHkRsZ0WzYYJoNG0zMwzD2/DyLa7v3kpqURKtxI0l8EYckpeHmVw1ZHh5XJUnd+76g6lio86KlMJZixSzHcBCfVRFg4+Ks8je9tHU7l7ft1LNE+cfK0QG/tm0A2Djpcw7M+RP7CuUZumElA5cvpOnQQSTFxbFx0ud6ldPcxobmIz7gnR+/BeD5o8fMe7cPPzV7g/m9Bqj8QzN4cuMmklKJf/u2mJibazWWXTl3un77JX7t3uDWoSP80a0ni/sNYUn/oRyc+5fOrkkgEBRPxIy0iHhj4odUe7M1K4eP5drufQR26ag2KzIkWo0bSZmyrkhpaVjY2RLwVntVTN66Pd/lwJw/uXviFElx8ZhaWepVVt/mTRiz628u/b2NuKgookLvc/fkaRb0Hvgq00t93AL8SU1JAeDQH/Op2rolDp4VtBrHyNSUpkMH8exhGGGXr6iOn1yxhhbDB5WYMJKCrBHuL6UboUiLCCMTEzzq1KJ8rUBCT53h8dXruPlV1bdY+cLK0ZHmI4dmec7YzJS6PbtzetU6HgVfLRYBKawc7Gk4oI/q9eWt2/nn6xlc/HsbF//ehomFOalJyarzT++EaK1I4yIj+at7b5QpKShMTFAmp/cnpaWBiIQkEJRohCItQmQyGTU6tufBuQtsnTqNNyZ+SMV6dfQtls4xtUpPP4a86GbccZFR7J/1O4kv4kiKj8evbRtqdu2UZd2Aju3xqFeH06vXYe3sxME5f2Hj6kLDAX1x8vbEzT/7HbvZYWJhgbWzI8/CHvPOj98QGRKaHrji7S5ICmOUJVCX5mYXKk122sLI1mKY61WlE6FIixjHip4Ym5kRFXqP1aM/psfMH6hYv67BLvNmhU/jhhyZt4jDfy7As27tIrm2/bP/ULM93z97nkpNG2PlYJ9lfRsXZ1qNHQmA35ttMLGwwNhMu3Rrr2NiYcE7P33H4n5D2Dp1Gt1/nsGEI3tK1OcqyB5ZISTiFku7hoPYbFTEuPlX4+MDO+kzfy5yhYLVoz5i69Rp+hZLp7j5VcWzXm0eXrzM0zshWrdPUyq1bhN2KT2g/sSje6lYP305+fUE5TlhaW9XICWagbOPF12++ZLklwmsGDaGa3v2FbhPgUBQ/BGKVA/IjYwoH1id/ov/BNKDqz979JgHFy4ScuIUoafPony1+cVQaTigLwDB23Zp1S5NqWRG/WZ8U6cxp1evy7NSrdigHgC/tnmLh5eCMTI1oYybq3ZC6wDfZo3pM28OplbWbP5kKkcXLhXZYkoBMlnhFIFhIBSpHnHxrYRv8yYAzO3UnWWDR7J61EesHD6W5R+MIjU5OZceii8etWtiX6Ec5zZs4vreA3lu9/jaddX/u3+cyZIBQ3ly41au7TJszckvE5DJZbT+cIzefHXLVqvCgCV/4VzJm4Nz/+KfL78x+AcjgUCQPUKR6pkmQwZSvWN7KjaoR4tRw2j36QT82r1B2OUrXN21R9/i5RuZXE7bTyeiMDZh46TP86QMAdz9/ajR+S3V68dXr7Og14BcfW99mzfh0zNHmHziAB/v30mtd7oURPwCY+PqQp/5v+PdKIjL/+xg1cgPefnsuV5lEhQecqRCKQLDQChSPeNSuRJvTf2UnrN/Jqh/b2p268ybEz8E4M6xE3qWrmB41qlFi9HpOUyfhtzNc7t2n06g+88z8Aqqpzq2deo09v02N9elXrmRETJ58bitTS0t6P7Tt9R57x3un7vA0oFDib7/QN9iCQQCHVM8fnEEaphZW2NiaUHCc8OfwWQsacqN8h6QQK5QUKlpY9795Xu6fT9ddfzE0pX8++OvuhaxUJEbGfHG+HG8MeFDYh4+YsmAoTy4cEnfYgl0jLCRlm6EIi2GJMbFkRz/kkfBV7mw+R/Cgq/k3qiY4tu8KTKFgstbd2jdVm5kRJWWzajfp6fqWGpiki7FKzLq9Hibd3/5jtTkFLZOnSaC25cwZIVUBIaB8CMthqSlpmJsZkbyywS2T5sBQOMhA2g6dJCeJdMeaydHKtavw92Tp0lJTMTYzEzrPlqOGYGNizOSJFH7na65NyimeDcKou5773Bs0TLuHDuJT+MgfYskEAh0gJiRFkMsbG0Zun4FXWd8zTs/fotrFV+OzFtE6Omz+hYtXzh4VCBNqSQuMipf7WUyGXXf6069nu+iMDbWsXRFS623uyBTKDi1co2+RRHoEJkM5K+CMuiqiKVdw0Eo0mKKjasLVVu3wLd5Ezp+mZ5JZf3Hk/MVrEDfZIQMFLbB9M+1WpuWhJ46w6Mr1/QtjkAg0AFCkRoATt5euFf3J/llgkHa1mq93QVTS0v++WI6W6dO41Hw1Wz9KpV5SMBt6AT1Tw+gf3rVWj1LItAVwkZauhGK1EBw8EjPRrJs8IhsZ6VyjZLbeW1LfrFydGDgioXYe1Tg8radLO7/AQt6DSD0zDmi7t0n9Mw5Dv25gMX9P+C7oBasH/8JKYmJBRixeOPs40W5GgFc2bWH8Os3DSbykeb9kKZRCtqfru43fSBHt8u6cpnwIzUkxGYjA+GNCeN4/jice2fO8fjqNdwD/PUtklbYlXNnyJqlhBw/yZF5i3h89Torh41Rq2NiaYGJhTk3Dxzm9y49aP3RGKq2blFs/EJ1SWCXjjy8eJmFvQdi5ehA5RbNqN3jbRw9PfQtmkAg0BKhSA0EEwsLzF8lz7Yt565nafKHwsiISk0a4dO4IU9v3+HW4WOkJCRgZmNN+cDquFatQsyDh/zVvTdxkVFs/nQqduXcKVutir5F1zkBb7XD1MqSe2fOE3L8JGfXbeTsuo1UatKI+n3fp3xgdZE5xoAQadRKNyXvUb+E8vLZc24dOkr5mjWwtLPTtzgFQiaT4VzJh0YD+9J85FAa9Hkf9wB/FEZGOHh60HLMCFVdQ443nBMymYzKLZrxxoRxDN2wkj7z5+LbvAm3jhxj+ZCRzOn4Dru+/4W7J0+XCruxQP/ExcUxbtw43NzcMDMzIzAwkNWrV+e5fUREBP3798fR0RELCwuCgoLYu3dvlnX37NlDUFAQFhYWODo60r9/fyIiIjLVS0lJ4csvv8TT0xNTU1OqVKnCrFmzsuwzJCSEbt26YWtri5WVFW3atOHcuXOZ6nl6eiKTyTKVYcOG5flaNSkRM9K01FSe3LyNg2cFTCws9C1OoXB9z36UycnZJquG3O1UhrBNSSaTUb9PT04sW8nLmGeUqxGgb5EKHZlMRvnA6pQPrE5U6H3Ob9zCzYOHOLt2A2fXbsDUygqvoHrYuDgT8yCM2u92U6WKK0w0n7I17x9tz2tiCPdjnpFJus8fWsT5SLt168bp06eZMWMGvr6+rFy5kp49e5KWlsb777+fY9ukpCRatWrFs2fPmDlzJs7OzsyZM4e2bduyZ88emjVrpqp78OBB2rVrR4cOHdiyZQsRERFMmjSJVq1acebMGUxN/0tpOGLECJYtW8bXX39N3bp12bVrF2PHjuXFixd8+umnqnpPnz6lSZMm2NnZsXDhQszMzPj2229p3rw5p0+fpnLlymryNmrUiB9//FHtmIuLS77fO4NXpI+Cr7Lpkyk8fxyOXTl33vl5Bk5eFfUtls65tnc/ChMTKjVrom9RCp30Gas3986cJzUpWSe5Qg0FB88KtP5oNK0+HMXTOyHcPHCY20eOcW3Pfni1Kcm2nFuRKFJB6WH79u3s3r1bpTwBWrRowb1795gwYQI9evRAocg+zOeCBQsIDg7m2LFjBAUFqdrXqFGDiRMncvLkSVXdCRMm4Ovry/r16zEySldBFStWpFGjRixcuJDhw4cDcOXKFRYsWMD06dOZMGECAM2bNycqKopp06YxbNgw7O3tAfjhhx94+vQpx44dw8MjfZ9B48aN8fb2ZsqUKaxZo+63bWtrS4MGDXTx1gElYGl36xfTeRHxFP/2bxLzMIzTK0ueS0F8dAz3z57HO6g+ppYlc8b9OrHhT7h39gKe9eqUKiX6OjKZDGcfbxoP7k//xX8xZucWVVSoam1a6Vk6gSYF3RGv753LmzZtwsrKiu7du6sdHzBgAI8ePVJThNm1r1y5skqJAhgZGdG7d29OnTpFWFgYAGFhYZw+fZo+ffqolChAw4YN8fX1ZdOmTapjmzdvRpIkBgwYkEmmhIQEdu78LyPUpk2baNmypUqJAtjY2NCtWze2bt1KaiGbR/SqSKMfPCQ+Oibf6aViw58QFXqPgA5taTv5Yywd7Hl05aqOpdQ/Z9dtREpLo+obpeMH9MKWf5CUSuq+946+RSk2WDnYY2JpQZmyriVy85Whk5XNTRelqAgODqZq1apqyg2gevXqqvO5tc+om1X7K1euqPWTXd3XxwkODsbJyQlXV9ccZUpISODOnTvZ9pmQkEBISIja8UOHDmFtbY2xsTHVqlXjp59+QlmAYDd6W9qNuHWb+T37q16P/GcTNi7OAHm2NYQFpyvNCrUCMbOwwM7djYeXgrmx/yCVWzTLpbVhkPA8ltMr12JfoRxVWzXXad+52bgKWj+/hF1O/9J5BdUvpBEMk2pvtOb0qrXs/vk3Wo8bhdyocL++2n6+pcomWoTcvn070zEnJyecnZ11NkZUVBReXl6ZjmcsnUZF5RzeMyoqSlU3p/YZf7Or+/o42fVpaWmJiYmJqm5MTAySJOVpfIAOHTpQp04dvL29iYmJYd26dYwfP54LFy6wbNmyHK8zO/Q2IzU2N1f9b16mTL5iqMaGhwNgWzb9iaVhv94AXN97oOACFhOOL1lOUnw8jYcMLPQfzuKC/JUtJik+Xs+SFC+aj/yActUDOLN6PStHfkhcVLS+RRK8ojAjG3Xp0gV/f3+1Mnfu3GxlOXDgQJ5nvBcuXPjvGnKYAedldqxN++zq5rVeQerOmTOHAQMG0LRpUzp37szy5csZNWoUy5cv5/z589n2kRN6+2W2K+fOqH828OxxOOWqV8+X071jRU8AIm6H4FG7JpWaNsLF14eQ46eQ0tIM3pH/5bPnnFmzHidvL/zebK1vcYoM+wrluHMULmzaSv3e76kUa2nH2MyMXn/+xp5fZnN27QZWj/qQQSsWGfx9LsiZzZs34+Pjo3bMyckp2/qVK1dm3rx5eeq7QoX0iGkODg5Zzjqjo9Mf1rKa7b1OXts7ODgAWc9wo6Oj1cZxcHBQU/QZxMfHk5ycrKprZ2eHTCYrkPy9e/dm9uzZnDhxgpo1a+ZYNyv0OsWxcXXBxtUFScqfLcAtwA8jU1MubNlKne5dkcnlWNjaEnHnLqnJKQa/UeXuiVOkJiXz9E4IC3oNoG7Pd6nRqYO+xSp0Gg7oy52jx9k/63eS4uJoPnKovkUqNiiMjXlz4ocoU5K5sGkrUffuqx4oBfqjMGyaGf35+Pjg5+eX53Zly5Zl8ODBWo0VEBDAqlWrSE1NVbOTXr58GQB//5wjqQUEBKjqvo5m+4y/ly9fpn379pnqvj5OQEAAq1evJjw8XM1Oqtmnubk5Pj4+2Y5vbm6e5bL162SE6ZTn86G0WDzKyl75YMm09MUyt7HBu1EQT27eJvXOeVzk0YSeOYdXg3oGr0QBfJs3wathup0w4tYddn77I4lxcTrrX9tYqQWNrZpXLO3t6L9kHpYO9hxbvJzL23bm3qiU4dUg/b449OcCnty4lWv9otgNquv7ozjvci1pdO3albi4ODZs2KB2fMmS/7d353Ex538Ax1/TdF90p1BIRSFLkjNHu+47tK7IOn+WPVi7drG77Fprd+Ve1pElrHvZXOU+c1MIuXOkQtJd8/tjGEahUk3TfJ77+D5MM5/v9/uelnnP9/v5fN6fYOzs7PDyevt4ha5du3Lp0iWl0b1ZWVmsWLECLy8v7OzsALC3t6dBgwasWLFCaXDP0aNHiY6Oplu3bornOnfujEQiITg4WOlcy5Ytw8DAgDZt2iidf/fu3dy+fVvx3NOnT9mwYQOdOnXKNYjqdcuXLwco9JQYtf67dz3iBJf37sfeuQoVXeXfOGQ5OWRnZqpNIfC30dHXp9fMXxm2cTWNBvYjOzOTy3v2qzqsEqFvYkL/xfMxtbFmy6QpHFoc/O6dNIizT1PMK1fkUtgelvQfzJ2zub+NCyVLnVd+adu2Lb6+vgwfPpxFixaxZ88ehgwZwvbt25k+fbrSHNLAwEC0tbW5efOm4rlBgwbh5uaGn58fISEhhIWF0bNnT6Kjo/nll1+UzvXLL79w6dIl/Pz8CAsLIyQkhJ49e+Lu7q401cXNzY3AwEAmTZrEjBkz2LdvHxMmTGDhwoV8++23Srdrv/zySywsLGjfvj2bNm1i27ZtdOjQgbS0NCZPnqxoFxISQo8ePVi6dCm7d+9mw4YN+Pv7M3/+fAICAqhTp06hfn9qm0gTb91m84TJ6BjoM3Tmd+jq66FroE+9Ns25EXGCO2fLxtqXEi0tzCraE3PoKAB6xkYqjqjkmFW05+P5QQDsm7+IZ4mPVBxR6aElldJ34VxajBqOLDub6D37VB2SRpMnv6L+r2Rt2LCBfv36MXHiRNq0acOxY8dYtWoVffr0UWqXnZ1Ndna20sWKnp4e4eHhtGjRglGjRtGxY0fu3bvHtm3blKoagbyoQmhoKPfu3aNjx46MGjWKFi1aEB4erlTVCGDevHmMHz+e2bNn8+GHH7Ju3TqCgoKUqhqBvM/4wIEDVKtWjQEDBtCjRw90dHTYu3cvrq4vp4tVrVqVx48f880339CmTRv69etHTEwM8+bNY/HixYX+3anlMNCkB3GEjBhD6pMkuv/6EzZVKipea9TtQ05u30fc1WtU8ijct4vS5urBwzy4fIU6nTuUmWk9+aX9fDR3FS9PjMzVu8ZwUTO2tMCrb28OLFzCg8vvvr0rCG9jbGxMUFAQQUFBb223bNkyli1blut5GxubXLdh38TX1xdfX993ttPR0WHy5MlKV5VvUq1aNaWCDnlp2LAhYWFh+YqxINTuivTZo0esGvkZSfcf0H7i1zg3b8KdFAPFdiP2KQC6r0yvUWepSUns+OV3dPT1aTasYAMIyoLI7TsB8HhLjWFNpiWVUsmjNjciTnJ42ZvnwJVU/3ZRnvP1sROvH680zUuVSIpnE9SDWiXSO2fPs3LopyTcuEnrLz6ldoe2Sq+nPX3KnrnyYd/6piaqCLHIHfhzCUn3H9Dqs/9hYmWp6nBKXPy1GwBUbdhAtYGUYp1+nIh19WrsnfOnGJglCCqgNolUJpOxbuw3JN66TYM+vbCqWoWMlBSlNsdC1pIcn0C1xt5Ua1R0BYlVKeHmLQAq1S0bt6kLKuf5yL6szLK5nFpRMDI34+P5QeibmnBg4RJyxLJrJU4LSbFsgnpQm0T6NO4hKYmPyMnK4sSa9awa+RlBH3biwq6X693dOn0WgK7TflD7SfzZmZmETvmF60cjAIg9F6XiiFTjxZXo2U1bVRxJ6WZYvjye/j15HHuX8KB5ZWLUuiCoC7VJpPomxopOg4p1atF8xBD0jI3YPOF7Hly/RbZMAhL528l5j+LDpYFMJuPfiVM4s2mL4rnDS5cTe/7thaPLourNmwBwYNFSZDmlqVes9PHq25uKHrU5vuofzmzaovbJVCaTKG2led6o6CPVbKXp7+Jb6RoaMmTtCrpNn0rfP2fTeFB/2n83HllODtumTidi5RpuRJwA5Fdz6uzo8hAu7grHsqqj4rnHsXdZHjiCHb/8ztO4h6oLroQl3XsAQOW6dUQpvHfQNTDA7/dpGJQvz7ap05nboTvXjx5XdVgaojgmv4hMqi7U6pPJ0tEB15Yvp39UrlcXIwsLbp8+S9gfsxXPP7odq4rwisT1Y8fZO28h8HKgDcinOshycji5dgORoTtUFF3Ji7siX/mihm9LFUeiHgxMTemzIIj6vXqQkZLCP59/xfVjIpkKQnFSy3mkL+jo6xMYspSTazegrauLvqkJTx/EYaem6zXGno9k3ZffoGtggHnlity7cEnxWnL8y4LMLi01Zy6pg2c9pLq6bJ/2G1f2H8L3y9GUt6ug6rBKhZysrDxXBLJ2qsaHY8dQu2NbQoaPZt0XX9Pvr7nYuroU6jypT5LIzszE2NLifUMusyQU/a1YcT2qPtTqijQvxhbmNB82mMaD+lOvR1d8Rg5Vy+XG7l28xKr/fQ4yGb2CfqXmh/LVXgxfKUIg1dGhx2/TMK9cSVVhljhTG2u6/fIjWlItruw/yMWd4e/eSQPsmT2f31q0fWudXVtXF/z++IWszEyW9A1kQfePuXrwcL77TrWA5AdxzO3YnVltu3B48TKkEpliK255zRt91yYIqqD2ibQseHjtOhvHf0dWWjq9Zs3A2tkJxwb1MHeoTFZ6OmaVKsqXnQvdgPPzwTeapHrTxgzbsBqQl4YU4GLYbjJTU1ncZ+BbB2FV8qhDr5nTqd2xHY9j7/LPmHEsHzSM1CdJJMcnsHPGTBZ/PJAF3XpzZNkKstLTlfa/feYcGSmpIJNx4K9gtR/IV1yKvodUFUUChcJSv0u3MibpQRwrPvkfacnJfDTuMyrUrMHijweQeOuOok3GsxScWzTDyExzS+QlXJcXyDaxsVZxJKVD+4nfsHLoKACe3H/w1tvdVb29qOrthUeXjoSMGEPs+Shm+nbArKIdibfuYGJtRU52DnvmLODCrt30+O0nyj1fturFakPlKtjy5N59Em7dxkos25ZLcYyyFaN21YdIpCp2ZNkKUp884QO/rtw5e56jy1fyOPZernZ1OrbLY2/N8eiOfABZYfv5yhqHenX5dPsmnj6Mz3efccU6tWgcOIB98xYiy8nhUew9fL8cQ/1e3cnJymLfvEUc/TuEuR168Fl4KFKpFsfXrAPgyb37ACzo0Y8G/n7om5pQztYWe/eaWDhUFiOqBY1WJhJpZlo6R5evpJxdBWr6tkRbT33WIr19Rl5E4tRaebFlHQMDGg3qz+n1m0h9koSesTHNhg3GqUkjVYapci8GuiTHx6s4ktLD2NISY8uClY1sNLAfrq18kOrooGdshIGpKSDvf89IfVkpLDM1leCRY0i8mftWesSqtUo/65uaYO/uhktLH2p1aENGSgpZ6RkYW1ooLXb9er9qtqxgl1yyPNo/TX/5EZacrlOg4xWl4rgVK27tqo8ykUiv7D/IgYVLANg6eSoD//6LCjVK78jdpw/jifxvO3rGxugayZdFMzQ3o8/8ICwcHdCSSsnJzOLo3yGkJyfj2buHiiNWvRdfOHQNDVUciXqTSCRYOFTO8zVnn2acWrcJbT1d/p00BVnWy/5Q7/7+ODb0wtTGGh19fdKSkki4eYvY81HEno/ixvGTxBw+SuiUaYp9LKtWoXaHtlSqW5vk+ARqtGiqlFgFoawoE4m0WqOGuLT0IXr3XgCW9hvMqNCNmFhbkfL4MSfWrOfO2XPYurrQaGA/9E1UU9BelpPDiX82sG/+QjKeyb/9OzaoT7Nhg6nVoY2iXwrAtIINAC4tfVQRaqkTd/UaIB94JBSPqg0b0HXajxxfvZZbJ09j6+pMuQq2pD97RuvRI5SuIE1trLGu7kSN1vL5vWnJyUSsXMPBRUsVbZLj49k9a57i534LgnD0/KDk3lAJklD0IzfFVw71USYSqZ6xEd2nTyFq+y42f/s9ABIt+V/Dw0v/JmLlGgBuRJwkcttO2n83HlNbG54+iOPOuUgyUlIwr1wJQzMzLBwrY1nFsci/Oac9fUro1OlcCttDuQq2tPv2K8JnziX+2nX85/6hdL4H0VfY9dsszCpVpO03Y4s0DnVVsbY7149GEDJiDG3Gf0EFNZ0rXNrVaN2CGq1bsG/+Ig4tlq8t6dWn5zv30zc2ptnQQOp0bk/clRhiDh8l/toNbp08rWjzop9VEMqaMpFIX6j5UWtAhnnlyoq+o3p+3Ti+ai2ynBwq1HTl3oVLrPn0y7cex6WlD66tfHh4NQaDcqbYuDhjYmVFOTtbtHV1CxxX3NVrbPx6IgnXb+DSojkdf/gWXQMDzm7+jxsRJ8jOzFQ6btjMOciys+ny02QMy5cr8PnKosaBA0hNSuLE6nUs7T+YNuO/5IMeXVQdVpnVbGggj2PvkpmWRpMhg/Pdn5mVnsHaz75S/GxW0Z7y9nZU9W5AzXZtCtwv+i6GOi9vP6foqG5qjkQiKfIv3+I2uPooU4lUIpHg1uZDpefMKtozbO0K5nf/GFNrK3yGDSb+1m1SHj3GoFw5KtaphUE5UxJv3iLl8ROOLg8hevdexW3iV1Wo6UqLT0ega2CAVbUq6OjrK16TyWQ8S0gkPfkZ5g7yggm3z5zj3L//ERm6g5ycHFqOHoFXX38kEgkpjx9z69QZKn/gkSs5J927j4Wjg1I/76n1m9gzewEffjmaWq+tw6oJtKRSPvxyDGYVK7Jrxkwuhu0WibQYSbS06DxlUoH3izl8VPH44/lBOHrWK8qwSq3iqIwr0qj6KFOJ9E0sHCpTqW4dLh84TNPBA6mSx1qlZhXtAXBt1YLrRyPITEvFyqkaKY8eE3c1hlNrN3LvwiVChn0KyEc52tZwwbxyJZ7cvce9i9FkpqYCYO3sRE5WNvHXrgNgX9sd3y9GY+dWQ3G+U+s2kZ2RgUeXjrliMba2IvZcJI/uxCriehr3kPTkZLZMnkpFj9qK5zWNZ+8ehM+cw4PLV8hKT1erEdqaoFqjhoT9NguAJ3dzT+MShLJIIxIpQJNB/Vk16gtunDiFtavzG9vp6Ovh7NNU6TlHz3p49vbjztlz3LsYTcazlOePLxN7LhJdQwPs3Gpg7lAZZDKiduxCItHC078nHl06YFWtaq7zvLhtk/okKddrjQb0Yc2Ycfzz2VcM+nsxOvp6uLf7SNFn9e/EH6nasAGP7sTSbGgg5e3t3udXo3bMK1ck/toNEm/fwdqpmqrDEV5h4VAZW1dn7l+6jJ17zTfWAy5r5AUZivrWbpEeTihGZf9vOPIanNauzujo63NqwyacmjVGx8AAE6v8z8GTSCRU8qhDJY86Ss+nJiWhZ2io9GHh++VoJBIJUp03z2ur17MbZ//dSvjMOegaGeLexldxjGqNvWk8qD+HFgdz7egxXHyaUc7WBiMLC54lJBB7LpLYc/K1SSNDd1DPrxuNA/vnmlP4rlGE6lqbtNmwT9gwbgLbf55Br1m/oWckpsSUJrauLty/dJlFvfoD0GvWDKrlcReooCR51PdVTjbqvf6qoL40phyJkZkZzUcOIfHWHRZ082d22y4s7jOIO2fPv9dxDUxNc33j1tbVfWsSBdA3MaHbL1PQ1tVl6+SprPvyG6U6pzVatwBgz6x5nN74L/O7+fMsQb4CTA3fVvT4bRrNhg3G3KEyJ9duYEE3f+5GXniv96IuXFs2x6ufP3fOnid44BDObNpKTlaWqsMSnqvbvbPSzzoGBiqKpORIimkT1IPGJFKABv498ernT3n7Cri2bkHCjZusG/sNGSkpRIT8w5bJU7lx/GSJxWPr6sKIf9fi3u4jrh48zMKe/dg+bQbXjx3HuroTPiOHknjrDtumTufpgzhAXvO0y0+TcW7ehCaDAxiyZjm1O7YjIyWVi2G7Syx2VWv56Qjqdu9C/LUbhE6ZRtjMOaoOSXjuwJ9LFI+7TvuBynXrvKW1IKg/jUqkAK1Gj2TE5rV0m/YjzYcPJiXxEQt79iPs91mc37qNVSM/48aJUyUWj0E5UzpOnkCL/w0j/VkKp9ZtYtXIz1gzeiwVaroyYOkCmo8Yomj/5N59ZrZuz53nt3bTkp9x9eBhJFIpVYvg9pm6kEgktP36S/zn/kF5eztOrF7Hwb+W5XuJMKH4XD14WPH4RY3kMu/59Jei3EQnqfrQuET6qpof+WJiY03S/QcA1O/dQ159aPXad+xZtCRaWngH9GXMri0MXR+CS0sfrh05xqqRnxEbeYGG/fyp9Mq3+tQnSSwPHM7yQcNZ2n8wKY8e0/7br6jSoH6Jxl0aVPHypNesGeibGLN/wV/smP57rqXAhJJzed9BxWOJlhYO9eq+tX1WejpxV66q/RcgcWtXs2l0IjWxsmTEpjV0n/ETLi2ac2K1fKWLy3sPEBsZVeL/uF/UQe0+fQrDN67Goooj4TPncv9SNI0HyQduaEmldJ46maoNPUm4dZukB3HU790jz7mlmrIIsoVDZQYsW4i2nh6n1m5keuNW/N6yLf9O/JHY85FvXa9TKDo5WVmETpkmr4f8/IrqRsRJsjIy8myfnJDI+rET+Ms/gL8DR5AS/1Bp4XALvQylTSaT5Nr0pTmKTU+q3slYUF8aMWr3baQ6Orj4NMPe3Y3oPfsUzwcHDKVaY286fj8Bw/LlSzyu8vZ2tP7sf6z59EuCBw4DQEtbm15Bv1LFyxO3j1oD8kIQogKKPJn+778NnN8ayp1zUSTdf0Bk6A4iQ3dgXrkiXX76Adu3THsS3l9mWjopjx5Tu2M76vl1Y8vkKfJSg0uCkUi0KGdXgU4/fItB+XIcXrqCs5tfDhK7c+48f/UdTIfvvuLuhUsYmZXH07ch5azzN7I+JyuLUxu3FOfbeyux+otm0/hE+oKxpQXDNq4mdMovGJQrh1RHmws7wggZMYbAFUtUst5i1YYNKGdXQTGxvevP31PFy1OpjUiiLxmWL4dXX3+8nv9851wk0bv3cnzVWpYN+ISqjbyoWLsWHl07idKLxUBbTxctqZTHd+9RoaYrg/5ezMm1G7l25BhZGRnEno9iSd9ARXv72u54dOlIzQ9bcXnvAf77cRqrR49TvL5tGjjUqUmzvj2o81HzN543OzOTdV9P5tKe/cX6/gThTUQifYV5pYr0/XO24meDcuU4+c96Yg4fw6mJd4nHI9HSIjBkKcdWrMatjS+Wjg4lHoM6q1jbnYq13XFr48vO6TO5dvgYVw8c5tiKVTQODKCeX9d3TlMS8k+qo4NrKx8u7Awn7moM1k7V8OrbG6++vQH5YgxHgleQk5ODR5eOVPHyVHwRdGvji1WVyhxaugLzyhWxqe7EtX17ubDvCH+P/YE9S6pTqYEXD69dJysjg0YB/QifOQfDciZkpKQSG3kBp8YNuXro6NtCLDZaEvlW1McU1INEVoCOwKioKNzd3flkzfI8q/WUNUn3H7Cguz/6JiYMWrG4wIsov4/Xr39FL9/7y0pP59LufeyZs4CnD+KoVLcOfn/8gr6xsapDKzPuRl5gWcAQ6nRqT/uJXyu9ZmuQpvRzXKq+0s95/R1/9ugRBxYuITJ0h2LpwVdp6+mRlZ5OzY9a4x3Ql8X+AURGRuLm5vbe7yU/XnwmBu9dShWXKkV67OvR1xngM7BE349QOBo92OhdTG1taP/deJLjE9g+7TfSnj5VdUjCe9DW08O97YcMW78Kjy4duX36LIeXLFd1WGWKnXtNKtauReS2naQlJ7/38YzMzGjz1ReM2bWVQSuW0O+vuYoCKO2/G8+X+3fy2e5QukydjJYKul9ekBTTf4J6ELd236HmR76c27qdy3sP8Pu+djg3a0Ld7p2p4uWJllSq6vCEQtDR16P1F59y9eBhjv69igo1XRULVAvvz62tL3fOnefGsRO4tvIpkmNq6+oqBot9FvYfWtra6OjLFywwMDUtknO8LzFcQXOJK9J3kEgktP1mLJ7+Panq3YDL+w+y5tMvmdvJj73zFhJ39Zraz4HTRLoGBvRfPB89IyMOLFyq6nDKlIp1agEQdzWmWI6vZ2ykSKKCUBqIK9J8KG9XAd8v5MunPY69y9ktoZzbEsrhJcs5vGQ5lerWoc/cP5TWFS1on+a7vtHk9broN30/5e3tqN6sMZGhO0hNSio1Vzbq7sU6va/XP77/Wp9oWSKmv2g2cUVaQOXt7Wg+bDAj/13Lx/ODcG3lw+3TZ1k9eiy337MAvlDyzCpVBODJ3ftFdsyYQ0fY/N0PhE6dTuKt20V2XHXxYiR0XksECkJZJK5IC0lLKsXRsx4V69Ti8d173Dh+khvHT1K7Q1vajv8CqX7Z/fZdlkifD1xJjo8HiqZgw9YffuZZQiIA144cY+SWdRo131ff1BQdfX1Ob9hMZmoanX78TtUhFbviKI2rQX9l1J64In1P2rq6BCz9k09CllKtkRfntm5j5cjPimTEolD8XFo0R6KlxeGlfxdZKUGnxt4YmpsBYGRurlFJFODOmbMYmJXHtoYLkdt28OzRI1WHVOzEqF3NJq5Ii4CWtjZWztXpOfNXwoPmErFyDcdWrKb5sMH5PsbrH+HiG07JsHCsTPXmTbi8Zz8Jt24XSdGL9hO/Jjk+gcy0NExtbYogSvWyZvRYACrXrc39i9E8ib1HxMo1ZGdk4vO/oUpjCQShLBCf10VIoqVFy09HYGRhwcWdYWI0r5qwc6sBwPWjx4vs/5mxpQVmFe0Vt441UXl7ef/ziqH/48iyFUSErGFuxx6kPH6i4siK3otbu0W9CepBJNIipiWV4trKh8Rbd4i/fkPV4Qj5ULdrZ4wtLdg1YyZHgleoOhy1lp2ZqXjs2toHB896GJmb0+STgQA8S0gkIyV3hSJBUGcikRaDF/PoHkRfUXEkQn4YlDNlwLI/MTQrz6G/gonavkvVIamtVxd3SH+aTJ/5QYzcso5mQwNp/dkoAMJ+n5Vraoy6k68fKnpINZXm3ncqRi/62R7duq34piLmfJZu5WxtaTP+SzZ89S2bv/0eC0cHsexaIbxa7evvwSOQVmqEllk1JPpmDJ/6IXejLnBhZzjrx31L5ykT5WuX5vfYeTwn/l0JpYG4Ii0GL25v6YgpMGrFtZUPvef8DkDEyjWij7uQ2oz/UvE4+/ZhMs/9TUbELIJ8O3JhZzgAV/Yf5Px/21UVYpGTIP8wLcpNXJGqD5FIi0H68z4gPSMjFUciFJRDvbpYVnUkctsOLoXvzfX604fxZe62ZFGr270z3X+dipal61vbubR48xqj6kYikRTLJqgHkUiLQc7zK1Kpjrhzrm6kOjp8PG8mUl1dds2Y+bxQg9yV/QeZ074bwYOGkXj7jgqjLN0kEgkuLZqj6+6PXpOv0W0wCn2f7/l8zza6/zoVy6ry5cZWj/qchzHXVBytILw/8UlfDF7cEbwYvhdHL89CzSUUfT+qY2xpiVW1Kty/GM3TuHiMLS3Jycpiy6QpyHJyuHcxmhVD/kfgyqUYPS+8IOT2+YxWuZ5zadGcao29Obz0bw4vWU7IiDEMWPon5e0qvPN4+tLsXM+lZJeWFZgkFP3NWHFFqi7EFWkxqOhRC4Py5Yk5fJS5nXuybuw3ZKalvXtHoVRIjo/n/qXLAIoBR1ra2hhbWaFjYED9Xt1JfhjPwUVi1ZjC0NbVpdnQQLr89D3PEh+x5tMvy+TcUnWTnJzMmDFjsLOzQ19fHw8PD1avXp3v/ePi4ggICMDS0hJDQ0O8vb0JDw/Ps21YWBje3t4YGhpiaWlJQEAAcXFxudplZmby/fff4+joiJ6eHq6ursyePTtXu6ioKEaMGIG3tzdGRkZIJBL27t37xlhXr16Nh4cH+vr62NnZMWbMGJLfoxqdSKTFQN/YmB4zfpLPnZPJuLxnPxd37eba0QiyRf9aqaelrYOxhTkAoVOnk5MtvxLy/XI0mampJNy4BYjBZO/LtZUPrT8fRcKNm6z59AvSk5+pOqRCkxTTVpK6detGcHAwkyZNYtu2bXh6euLv709ISMg7901PT6dVq1aEh4cTFBTE5s2bsbGxoU2bNuzbt0+p7b59+2jbti02NjZs3ryZoKAgwsLCaNWqFenp6UptR4wYwc8//8zIkSPZsWMHXbt2ZfTo0fz0009K7U6cOMGmTZswNzenVavcd0JetXLlSvz9/fH09GTbtm1MmjSJZcuW0a1bt3z+pnITt3aLSSWP2lTyqM3j2LtEhu5g6/fy//FGFubU6dyBRgF9CzT0Xyg5huXLMWTtCjZNmMzZzVvJSEnFo2tHKtRwQVtPj+tHI9A3Mcaja0dVh6r2Gvj3JC3pKQcXLWV54HCaDQvEuXlTpfmoQvELDQ1l165dhISE4O/vD0CLFi24efMmY8eOpVevXkilb76NvnjxYiIjIzl8+DDe3t6K/evUqcO4ceM4duyYou3YsWNxdnZm3bp1aD+v/FWlShUaN27MkiVLGD58OCC/yly8eDFTp05l7Fh52UkfHx8SEhKYMmUKw4YNw9xc/oW3X79+DBgwAIB169axZcuWPOPMzs5m7NixfPjhhyxatEgRp4mJCX369GHbtm20bdu2wL8/8be1mNVq1wY9IyMq1q5F0yGD0NHX5/CS5SzqPYCIVf+w8etJLO3/CUEfdWb5oOGcWLOemMNHyUxLf/fBhWKjb2KC32/TqFi7Fhd3hbNqxBi2TfmFvguCaD/xawKW/4V55UqqDrNMaDpkEE0+GUji7TusHzuBxX0Gsm/+Iq4ePEzS/QeKaUjPsrRzbelZUsWWocL+UnUftbtx40aMjY3x8/NTen7gwIHcvXtXKRG+aX8XFxdFEgXQ1tamb9++REREEBsbC0BsbCzHjx+nX79+iiQK0KhRI5ydndm4caPiuU2bNiGTyRg4cGCumFJTU9m+/eX0Ka18fvE6evQo9+7dy3VMPz8/jI2Nlc5fEOKKtJhVaejJmPD/0JJKkUgkNBkcwMm1G9kzez5hv80CwMjCgnK21tyPvsydc/I1TQ3NzfDs7Ydn7x7iylVFpDo69PlzFrdOnOL0xi1cDN9L9L6DSHV0cGrSCGefptg4O2FZxVHVoao1iURCs6GBfNCjK0eXr+T0hn85tDhY8bqhWXkc6tfDvpY79rVrYevqrFT4QSaT8fDqVeJjYlQR/nPqPdgoMjKSGjVqKCU3gNq1ayteb9So0Vv3b9q0aa7nX+wfFRWFvb09kZGRSs+/3vbQoUNKx7SyssLW1vaNMRXUm86vo6ODq6troY4JIpGWiFcLl0u0tKjfqzuOXvXZ+NV36Bkb0X/xfADSnj4l9lwkcVevcXLtBvbNW8iJNev5cOwYarRuoarwNZpUR4dq3l5UaVCfi2F7OPffdm6fPcfFXeFc3CUfSNFoYD/qduuMQfly6BoYqDhi9WVsYU7rz0bRYtRw4q5c5V7UJR7GXMv1+9Y3McGh/gdU92lG1eYt2TrhW6698gFc1ly9ejXXc1ZWVlhbWxfZORISEqhatWqu51/cOk1ISHjn/i/avm3/F3++qe2r53nTMY2MjNDV1X1nTG+K823nv3HjRoGPCSKRqoylowOfrFmutAamvokJ1Rp7U62xNw369OLspq3s//MvNn49kczUr6ndsZ0KI9ZsWlIpbh+1xu2j1mTLZDy8GsPDmOscW7FKPpVj6d9IdXToNfs3HOt/oOpw1ZpUW5sKNVypUONlQYfUpCTuRl7i9pmz3Ig4zuV9B4jesw/4Ub6Pjg4OXl5cO3hQJTEX5/Voly5dcr02adIkJk+enOd+e/fupUWL/H3xPn36NB4eHvLzveVWcn5uMxdk/ze1zW+7/MZU0H0Le0yRSFXsTYMqpNrafNCjC1UbebFy2Kds/eFndI2McG1ZdqrBqCupRIJtdSdsqztR1as+oT//RvTuvWRnZhL533aRSIuBgakp1Ro1oFqjBjDiE1KfJLHrtyAiQ3cA8rKcqkqixW3Tpk04OTkpPWdlZfXG9i4uLoqBNO9SuXJlACwsLPK8wktMTATyvoJ7VX73t7CwAPK+wk1MTFQ6j4WFBWfOnMnV7tmzZ2RkZLwzpjfF+eL8NjbK8/tfP39BiERaypW3q0CfBbNYFjCELRN/xMbZCbOK9qoOS3ju6YOHXDt8FJB/KbJzq6niiDSDQTlTOv3wHY0G9SczJZXTGzZzZlPeIzVLRnGs1yI/npOTE25ubvneq0KFCgwePLhAZ6pVqxarVq0iKytLqZ/0/Hn5mA13d/d37v+i7ate3//Fn+fPn6ddu3a52r56nlq1arF69Wru37+v1E+a35jeFOeLY9Ss+fLfalZWFpcuXVKMWC4oMWpXDZS3q0CnH74jMy2N46vWqjoc4TlZTg4bJ0wmJzubPgtmMfZgGB/06KLqsDSKpaMDFWq60u7brxi4fLGqw1FbXbt2JTk5mfXr1ys9HxwcjJ2dHV5eXu/c/9KlS0qje7OyslixYgVeXl7Y2dkBYG9vT4MGDVixYgXZ2S8rVR09epTo6GiluZydO3dGIpEQHPxy4BnAsmXLMDAwoE2bNgV+n15eXlSoUIFly5YpPb9u3TqSk5MLPZdUXJGqiSpenlg7O3F6w2Yq1a1DjdYtSH+Wwr0LF9E3McbExhrD8uVFoesSdPPUGRJu3sJ7QB8cxO1cldPW01HdySVAUf/bK8F/ym3btsXX15fhw4eTlJSEk5MTq1atYvv27axYsUJpDmlgYCDBwcHExMTg4CBfMnLQoEHMnTsXPz8/pk2bhrW1NfPmzSM6OpqwsDClc/3yyy/4+vri5+fHiBEjiIuLY/z48bi7uytNS3FzcyMwMJBJkyYhlUrx9PRk586dLFy4kClTpijdhk1JSSE0NBSQJ2WQF36Ij4/HyMhIMTdUKpUyffp0+vXrx9ChQ/H39+fKlSuMGzcOX1/fQiVnEIlUbUgkEjr98B2rRn7Oxq8n8vTB/wj7Q7lUlpGFOdUaNaRBn15YO1VTUaQvpT19irauLtp6em9s8/otEYlEeekymUz500T62uuZsuL/tHlT3eP7zxdur9qoYbHHIJRu6j35RW7Dhg1MmDCBiRMnkpiYiKurK6tWraJ3795K7bKzs8nOzlZaZlBPT4/w8HDGjRvHqFGjSElJwcPDg23bttG8ufK4Dh8fH0JDQ5k4cSIdO3bE0NCQDh068Ouvv6L32mfFvHnzsLe3Z/bs2dy/fx9HR0eCgoIYNWqUUru4uLhcc2BfDMZycHBQGo3bt29fpFIp06ZNY9myZZibm9O/f3+mTp1a2F8dElkBFl2MiorC3d2dT9Ysx6pa7qHSQvF7dCeW1f/7nEd35BOcdfT18Q7oS9KDB8Sei+JhzDUkWlrU6dyepkMCMbGyVEmc+/9czKEly5Fqa9P6s1FvvOWpDon0TfYt+ItDfy2j16wZVBPJVOUexlxjUa/+REZGFqhP8X28+Excf2gVTq5F++X16qUYujf2L9H3IxSOuCJVM2YV7em/dAHHQ/7BoJwpdbp0RN/YWPH6vYuXCPt9Nmc2biFq2y46/fhdia/7eOfseQ4uWkp5eztkMhnbp82gokdtrJ3K1pev2h3acnR5CKFTp/PRuM9xbt5E1SEJKlMWrkmFwhKDjdSQkZkZPiOH4tXXXymJAlSo4UrfhXPw+30aukaGbP72e2Ijo0o0vpgj8gEHXaZOpu038hqZNyJOlGgMJcGsoj3tJowj9fFj1n0xnpjno3cFQdAsIpGWQRKJhOrNmtDzj+mAhM0Tvi/R2r3pT+XLEZnYWGNkJl+vMyMlpcTOX5JqtW9Dv0Xz0NHXZ+v3P+X5e06OTyDx1m0VRCeUFEkx/SeoB5FIy7AKNV1pPvwTHsfe5dDiZSV23rSnTwHQN3l5tZyVkZFn25zXtmyZRGl7/fVMmURpKw0q1HSlyeAAniUksnrU51w5IC9Xl5aczN65f7Kguz8Lun9M6JRfKMCQBEGNvBi0W6Sbqt+UkG8ikZZxnr17YOPizNHlIcRdvVYi50y8eQt9UxO09fS4vF9ebcaqqmOJnFtVPujRlerNmnDn7HnWfj6eh9euc3X/IQ4v/ZuMZykYmZtxZtMWlg8apljPVBCEskEk0jJOS1ubdhPGkZOTw+6gOcV6rttnznJ0eQj3LkbjUO8DLu/dT8TKNRiam1GjdctiPbeq6Rkb4ff7NHrP+g1kMtZ9Ph4dQ3kBe2tnJ4atX4VH107cjbrIsgGfcOv0WRVHLBStsrC0t1BYIpFqgAo1XXH7qDXXjkRw51zhlgl6lxP/rOfvwSPZPWsexpYWVK5Xlw3jJyKRQMfJE9DS1owB4lUaevLR+C94cv8Bmyd8j6mtDXGXrxJ3NYZ2E8bRe87vyJCxcfx3PEt8pOpwBUEoAprx6SZQv3cPorbvIiJkDbYu1d9aJAEg5fETorbvJObQETJS08hKT0eqrY2VU1Uq1HClaiMvyr1S//LAn0sAqFS3DmYV7QmfOQctqZT6vf2Iv3YDG+fqGFta5DrP+36Te33eqfZrP6fnlPx3xXo9umJmb8fqUV+Q87wMWuS2nVTyqE2VBvVp89UX/DvxR7b/PIMOkyegZyTWm1V3xTE4SAw2Uh8ikWoIu5o1cKj/AZfC9hB7LpLGgwZQp3N7pDq5y6plpqWzfNBQEm/dQaqri56xETp6emSmpRF7PoozG7cgeb6sWNMhgyhXwZbUJ08AuH36LLdPn8WsUkUe3b7DwUVLAbgecVx+21NDVPSQLxys9Xx1n6z0l6N53dp+yIVd4UTv2ce9Cxdxbd2CxoEDMDA1VUmsgiC8H5FINYRES4ueM3/l9PpNHF72N9unzeDc1lD6/TVPaeFxgIiVq0m8dQfvgL40DhygtFj104fxxJ6L5OTaDUSG7iB69z6aDQtU2l/P2DjXrdwmgQHF9t5Km+T4BGa16QyAs08zLobt4c7ZlytjSCQS/H6bxsl1G9k5/Q8iVq5BlpOD7xejVRWy8J5EOQbNJvpINYiOvh4N+vRixOZ/5ANfIi9wNHilUptL4Xs5+NcyzCra02zYYKUkCmBiZYlrKx/6LJjFx/ODMDQrT/jMuQDU+LAVSCSkJyeTcP0GkueFrq2qVcXOrUbJvMlSYN98+VqQWtratP58FBVquPDk7j2lNhItLer37M6YsP8wsbbi+Kq1/PPZONFvqq6KfO6LpOiL4AvFRiRSDaRraMiHY8dgUcWRg38tY9/8RTy+e4/khEQ2fPUtAN2mT8l1pfo6R896DF4VTNMhg6jn15XEm7fhlXmS9fy60bCfPw9jrrH/z8V5zqF8fZ5oQclkEqUt67WtpMlkMsVi08M2rEJLKkVLW0pOdjZPH8bnam9Yvhz+c//AsqojVw8cZna7rpxat4nsrKySDl0QhEISiVRDaevq0vnH7zC2tODQ4mDmdfJjTnv5WnxWTlWxca6er+PoGRvR5JOBRO89wIPoy0qvnVi9FqmuLrauzhxe+jc7pv9e5gsSSCQSLKrIl5b697sfSE5IxMTaGkDRX/w6yyqODPlnBQ0+7kVOdjbbp81gYY8+PLl3v8TiFt6fqGqkuUQi1WC2ri4M37SGnjOnU7tjOyp51Kbj99/S/695BTqORCKhdsd2aL2yZuELhxYH0+STgTjU/4BTazdydvN/RRV+qdV9+lQ8unaSF2f47CuaDhmEQblynNm8ldCp0xWVn17X+vNRjNyyFmefpjy6E8uR5SvzbCcIQukiBhtpOC2pFKcmjXBq0ui9juMzYgjNhgwi7moM14+d4PLe/cSelxfLP7Q4mN6zf2fxxwHsmjET+9puWFWtUhThl0ovitnrGhgQEbKGu5EX6Ld4HqE/TuPMxn9JevCAzlMm5TlKt5ytLQ379+Hy3gOY2lirIHqhMMT0F80mrkiFIqOlrY2tqwveA/owYOmfBCxbSNVGXri29MGgnCmdpkwiMy2N0B+nvfEY7+ozlUhkStvrXu8zVaU6ndsD8N+P03gSe5d+f83D2acp1w4fY0nfQOKuxuS5X8rzAUfGlqpZS1YQhIIRiVQoNnbuNek96ze8A/oCULluHQzKmZL+7JmKIysZllWrUL9XD9KTn7JmzDiu7D9Et1+m8NH4L3ga95DlgcN5GJO7/rG+qQkAaU+SSjpkQRAKQSRSoUTJcgozNlc9SSQSPhw7hsGrl2NQrhyhU6aBTEa9Hl3pFfQrWWnp/PPZV7mK2GdnZgKgpSN6XtSFRCIplk1QDyKRCiWqvL0d8ddusGf2fEX5vLLOvFJFPHv3IOXRY26cOAVAFa/nNXnv3mPbz78qtX9y7wEA5e0qlHisgiAUnEikQonqOXM69rXcOBK8kg3jv1MqnVcYr/eZvu+81OJSw1e++s2Oab/xIPoKyfHxnP9vO0CuGsQZqfJF0NOflc3F0MsmsfqLJhP3joQSZWxpSZ8Fs9j6w89c2BHGH607oGOgT4uRQ6nTuYOqwys2Fg6VafP1l+yc/geL+w5S1C5u0KcXLUcNV2pbxcsTLW1tNk+YzJFlf1Pzw9YYmpkRf/06Hl07YenooKJ3IQhCXkQiFUqctp4enX74DruaNbhy4BA3T54mPGguVRo2KNNTPj7o3gU7txrsm7eIZ48e0SQwAGefprnaWVWtQuDKJUSsXMPlfQfYO/dPxWsRIf8wcstapZV3BNUTtXY1m0ikgkpoSaU06NOLBn16sWfOAo4sW8H8Lr3w6NKRpkMHYVi+vKpDLBa2ri70mjXjne2sqlWl/cSvaZP5JTdPnCLuSgy7Z80DmYz4mOsikQpCKSL6SAWV8xk5lF5Bv2Jd3YmTazew+OOB3Dp1Bsg9rzRbJnnrVtZIdXSo6u1FvZ7dMShXDhvn6lRr7K3qsITXFHV5QFEmUL2IRCqonEQioVpjbwKCF9Jh8gTSniazctinRIT8U+Zr8+bXuS3/kfrkCW5tfFUdipAXsfqLRhOJVCg1JBIJtTu0ZdDfizGvXImw32exY/rvZGVkqDo0lctISQWg0gd1VByJIAivE4lUKHUsHCvTf8l8RaH7ZQFDiLtyVdVhqZSiSEMeCwMIqicmv2g2kUiFUsnA1BT/Ob/TdMggHsZcZ0m/wYT9MfuNK6eUdQbl5AXuL+7arUiqgiCUDiKRCqWWlrY2TYcMYsCSBVhXr0bEyjX82aMPF8P2qDq0Elfzo9aYO1Tm6PIQZrbuQNL9B6oOSXiNGGikuUQiFUo9O7caDAxeRPvvxpOTlcXG8d9xMWy3qsMqUQampgwOkS8Mnv7sGZf3HVRxRIIycXNXk4lEKqgFiZYWdTp3IHDlUowsLNgyaSr3L0WrOqwSpa2nh8//hgIQPnMOMYeOqDgiQRBAJFJBzZja2tDjt5+QyWQsCxjKnPbd+KNVO2a378bpjf+qOrxiI5XIkEpkNAnog9+Mqejo6xE6dbrGFP4v7cTsF80mEqmgduzd3eg+fQr2td0xsrDAqlpV0pKeEvb7bLZPm8H8Lr24feacqsMsFhKJBNcWzajbrTNP4x4SdyXvxcEFQSg5okSgoJacmjTCqUkjxc/Re/axcfxETq3bBMCxFauo5FFb8Xp2VhZaWlpItMrGd8frEScASLhxA1tXZxVHI4hqu5qtbHyqCBrPpUVzPvnnb7pNn4pEKuXy3gPsmT2fzLR0Tq7dwG/NPyKoTWeO/h1CZlqaqsN9b0/u3gfAwtFRtYEIgiASqVB2WDhUxrVlcwYt/wvbGi4cCV7J7Lad2fHL7+gZGyPV0WF30DwWdPMnNjJK1eEWyKv1hLNyQKqrg0RLC7OK9qoOTUDU2tV0IpEKZY6NS3UClv5JqzH/Q1tPD/tabvRbNIfhG1bR+otPSX2SxMqho7h58rSqQy0UiUSCV5/eyHJyOLd1m6rDERCJVNOJRCqUSVra2nj17c2n2zczYOmfmFeuhLaeHg38e9L3z9loaWuzYdwEEm/fUXWoheLWpjUAd6MuqDgSQRBEIhU0jp17TbpM/Z60p8ms/ewrtSy5p2dsjJa2NtcOH+Xpw3hVhyOIegwaTSRSQSM5NfGmceAAEm7cJHLbTlWHU2A6+vq0HDWc1CdJnN28VdXhCIJGE4lU0FgN+vRCz8iII8tWlPrCBlqvbQAurZoD8OSefARv2tOnrB87gZARo0l9kqSKMDWW6CPVbCKRChpL39iYut06k3jrNncj1a+v0dTGBmtnJ6K27+JhzDVunzlH9J593Ig4ya1T6jmQShDUkUikgkZzbtEMgOvHjqs4koKTSCS0+nQkWenpLOkbyPn/tite0zUyUmFkmkfepSmuRzWVqGwkaDTr6tUASLh5S8WRFE6Vhp40HhzAob+WYevijEO9uhhbWeLoWS9X29tnzpH6JInqzRoTsXIND2Ou0ThwgJiLWlRE5tNYIpEKGk3XwADzypW4vPcA/3w2Dj1jY7wH9MXaqaqqQ8s3fWNjAGQyGfX8uuV6Pf76DaL37GffvIWAfJHwF32ozj7NRCIVhPckbu0KGq/D5AmAjGtHIojatpMlfQZy88QpVYeVLwk3b7F33kK09XSp1e6jXK+nJz9jUe8BiiQKKJKofS03qjdrXGKxlm3FcWNXXOKqC5FIBY1XsbY7Y3ZtZdzBMAYsXYBUV5fN3/3Aozuxqg7tneKuxJCdkYFHl06Y2trkel1HXw9tXV0APgsP5ZsTB2kxajgAPiOHIhFrdQnPJScnM2bMGOzs7NDX18fDw4PVq1fne/+4uDgCAgKwtLTE0NAQb29vwsPD82wbFhaGt7c3hoaGWFpaEhAQQFxcXK52mZmZfP/99zg6OqKnp4erqyuzZ8/O1S4qKooRI0bg7e2NkZEREomEvXv35nluR0dHJBJJrm3YsGH5fq+vE4lUEABdQ0O0tLWxr+VOu2+/4llCIssDR/As8ZGqQ3uryh94AJCVnp7n61ra2hiUM8XKqRpZ6en85T+APbPnA7B37p8lFWaZVxamv3Tr1o3g4GAmTZrEtm3b8PT0xN/fn5CQkHfum56eTqtWrQgPDycoKIjNmzdjY2NDmzZt2Ldvn1Lbffv20bZtW2xsbNi8eTNBQUGEhYXRqlUr0l/7ezxixAh+/vlnRo4cyY4dO+jatSujR4/mp59+Ump34sQJNm3ahLm5Oa1atXpnvI0bN+bIkSNK21dffZWP31LeRB+pILzG7aPWZKWl8d+P04hYuVpxBadKOW94/uTaDQAYlC+X5+uX9x0k6f4DbFzKceXAIaX1S2PPRyGTycRVaRFQ90XUQkND2bVrFyEhIfj7+wPQokULbt68ydixY+nVqxdSqfSN+y9evJjIyEgOHz6Mt7e3Yv86deowbtw4jh07pmg7duxYnJ2dWbduHdra8hRUpUoVGjduzJIlSxg+XP7vLSoqisWLFzN16lTGjh0LgI+PDwkJCUyZMoVhw4Zhbm4OQL9+/RgwYAAA69atY8uWLW99v+XLl6dhw4aF+VXlSVyRCkIeandsh2XVKpxcu4G05GRVh5Onx3fvcXDRUrS0tWnY/+Ncr6c/S+G/H35C39SEWu0+Ys+s+egZG9N+4tcAmNraiCQqALBx40aMjY3x8/NTen7gwIHcvXtXKRG+aX8XFxdFEgXQ1tamb9++REREEBsr7yaJjY3l+PHj9OvXT5FEARo1aoSzszMbN25UPLdp0yZkMhkDBw7MFVNqairbt7+c7qWl4nWGRSIVhDxItLSo37M7GSmpXDv89g8RVTG1tkLfxBhrp6oYmJrmej0iZA2pT5Lw7t+HM5u3kJmeTvcZP1GnU3s+37udgGUL8ziqUCgSSfFswNWrV4mKilLa8upPfB+RkZHUqFFDKbkB1K5dW/H6u/Z/0Tav/aOiopSO86a2r54nMjISKysrbG1tCxXT2+zfvx8TExN0dHSoWbMmv/32G9nvUd1MJFJBeIMXI1qvHDik4kjypqWtjVPTxty/dJnbZ87mej16916kOjpE791P/LUbNB/+CY71PwDkU2aMLS1KOmShELp06YK7u7vSNm/evCI9R0JCguI26atePJeQkFAk+7/4801tXz3Pm45pZGSErq7uO2N6k/bt2xMUFMR///3HunXr+OCDD/jyyy8JCAgo1PFA9JEKwhuZWFth4+LMtcNHyc7MRKqjUyTHzevb6+t9oK+3eVMfaePAAURu28mJNRuo5FFH8XxGaioJN2+TnZnJ3cgLVGnYIM/bv0LRKI7BQS+Ot2nTJpycnJRes7KyeuN+e/fupUWLFvk6x+nTp/Hw8JCf7y23+fPTBVCQ/d/UNr/t8htTXubOnav0c+fOnTEzM2POnDl8/vnn1K1bt8DHFIlUEN7C7aPW7J41j4iQf/Ae0EfV4eRiamONRCLhQfRlpefvRV0kOyMDHQMDMlNTqefXTfSHqiknJyfc3Nzy3d7FxYVFixblq23lypUBsLCwyPMKLzExEcj7CvJV+d3fwkJ+F+RNbV89j4WFBWfOnMnV7tmzZ2RkZLwzpoLo27cvc+bM4ejRoyKRCkJRq9+rO6c3/svBRUup59cVXUNDVYekRCKRoGtggOS1wRanN/4LQGZqKgDl8phjKhSd0jRqt0KFCgwePLhA+9SqVYtVq1aRlZWl1E96/vx5ANzd3d+5/4u2r3p9/xd/nj9/nnbt2uVq++p5atWqxerVq7l//75SP2l+YyoImUwGFH7QkugjFYS30NbTo263TmSmpXHvwiVVh5OLtp4eVk5VSbhxk78+DiAzLQ2A26df9pl69fPHxqW6qkLUDMU42KgkdO3aleTkZNavX6/0fHBwMHZ2dnh5eb1z/0uXLimN7s3KymLFihV4eXlhZ2cHgL29PQ0aNGDFihVKg3uOHj1KdHQ03bq9LHHZuXNnJBIJwcHBSudatmwZBgYGtGnTptDv93XLly8HKPSUGHFFKgjvYOdWE4Crh47g8Hywzvt4U39nQdu80GzYYEKGjybu8lX++3EaLi2aK105V/HyLHCMgmZp27Ytvr6+DB8+nKSkJJycnFi1ahXbt29nxYoVSnNIAwMDCQ4OJiYmBgcHBwAGDRrE3Llz8fPzY9q0aVhbWzNv3jyio6MJCwtTOtcvv/yCr68vfn5+jBgxgri4OMaPH4+7u7vSVBc3NzcCAwOZNGkSUqkUT09Pdu7cycKFC5kyZYrSrd2UlBRCQ0MBeVIGeeGH+Ph4jIyMaNu2LQAhISFs2LCB9u3b4+DgwOPHj1m7di2rV68mICCAOnXqUBgikQrCO9jXdse6ejUiQv6hpm8rKtR0VXVISl5d6UVbT4+N478DoJJHbWLPR2Fsaamq0DTGi2XUivqYJWnDhg1MmDCBiRMnkpiYiKurK6tWraJ3795K7bKzs8nOzlbcDgXQ09MjPDyccePGMWrUKFJSUvDw8GDbtm00b95caX8fHx9CQ0OZOHEiHTt2xNDQkA4dOvDrr7+ip6en1HbevHnY29sze/Zs7t+/j6OjI0FBQYwaNUqpXVxcXK45sJMnTwbAwcGBGzduAFC1alUeP37MN998Q0JCAjo6Ori5uTFv3jyGDh1a6N+dRPbqb+MdoqKicHd355M1y7Gqpj6rYwjC+3pw+QqLPx5InU7tFQUNSpPQKb9wZtMWfEYOYe9c+fzQwJVLMbK0wNii6AZllGYPY66xqFd/IiMjCzQ45328+Ezce2IXLjVdivTY0Rei8anvW6LvRygc0UcqCPlg41wdPSMjHt+9p+pQ8uT5cU+MLS3YO3chprY2SHV00DHQ15gkWhpIingT1IdIpIKQT6YVbLl1+ixxV6+pOpRcrKpWYeDfi6lQswZJ9x+QnZnJlf0HkeUUpLdVEITCEIlUEPJJW1cHWXY2f/XuT9L9B6oOJxcTK0sGLl9Es2HyqQ/hM+cSGbojz7ZJD+L4takvP9VvwoVdeS91lZejf4cwu303br0yKlgoG6u/CIUnEqkg5NOrV3exkVEqjOTtGg/qT5efvwfgYviePNukPHqsmGO66etJ3I26+M7jPoi+wu6geTx9EMe/335fdAGXBUV9X1fc31UrIpEKQj5pvzKiMP76TRVG8nYSLS1qtG5JuQq2xF2JISePYtzWTlWVFgKP3rMvV5vXHVwcrJjbqFPKClMIgiqJRCoI+aStp6t4/Dj2rgojeTeJRIJb2w9Juv+AGxEncr2upa2Na0sfxc+vTqF5k8exdylvV4GKHrV5GhdHTlZWUYas1sStXc0mEqkg5JO27ssr0tKeSAEcPpDXDH11Me9XNR/xCfX8utFy9Ih8FW3QMdAnOT4BM3s7Mp6l8Pje/SKNVxDUlUikgpBPUt2XV6RpSU9VGEn+VPSojY6BAee2hpKe/CzX6zr6+nz01ec07Je/VWE8e/cgKz2d8//JF1RWhy8TJUVckWo2kUgFIZ+k2i/LpOkY6KswkvzR0dfDq29v4q/dYNOEye99PNeWPlSoWUPxc+qTpPc+piCUBaJEoCDk06M7sYrHFWq4KL6FluaZmk2HDOJe1EViDh1h3dhv6D59aqGXU5NoadFv0Rxiz0fx7NEjXHyaFXG0gqCexBWpIOTT/Usv1/xUl9tuEomEtt+MxdyhMpf37Ofy3v2AfCpPYYo1aOvp4VD/A2r6tiqyhc7LAolEUiyboB7EFakg5NOriae0lgrMi6mtDT1m/MSSvoGsHzsBs4r2iqvrhv0/xqVlc+zdRS1XQSgscUUqCIWQnJCg6hAKxLKKI/5zf8fcobLSLeqjy0MIDhjKlQOHVBid+hODjTSbSKSCkE/W1aspHt+/dJnrx08ik8kwlGYrbQavbVqgtKlKJY86DFsfwjcnDhIYspRmwwaj9XydybzmmgqCkD8ikQpCPr0+H3Pl8NFc3ndARdG8Hxvn6jQZHICnv3wNR0MzMxVHpP5EdUDNJfpIBaGQqjSoj0O9uqoO4708uHwFkC8CLrwHCYryiUV6TEEtiCtSQciH7MxMpZ+bfjKQPvNmom9ioqKIikaVBvKKRnfOnVdxJIKgvkQiFYR8eBijvAappaOD4nFKtlRpS39tM9PLUNrK62bm2nS1cpQ2qUSmtBWXD3p0xaB8efYvWJxn9SMhf8RgI80mEqkg5EPCzduKxzr6+ri28lFdMEVIz9iIen5dycnKIu7qVVWHIwhqSSRSQciHhBvPl02TSMhMS8vX+p3qwrVlc5BI2Dt3ITJZ8V39lmViOVLNJhKpIORD4i35FamJlSUAGc/Kzm1Q6+pO1O7Qltunz3Lr1BlVhyMIakckUkF4h5ysLO6clQ/G0dKWD3TXKmPl8dza+AIQMnw0Z//9r0D7Jt66TbaGr00q+kg1m0ikgvAOV/cfIun+AwDM7CsA8pVVXnhXwYVH6bpKW1KGTq4tK0dLacuWSZS2ovZ6zFW8PGk/8WtkOTn89+O0fN3ivbzvIAt79mNBN3/ObNpS5DGqF4l8+ktRbiKRqg2RSAXhHZ49eqR4bFm1CgA6enpvaq626nRqL38gkxG1bedb2ybcvMWGcROIv3YdAGunam9tLwhlmUikgvAOekZGaOvqYmJliVRbfktXR7/0r0daGGaVKgKQk5391nZJD+IUbZyaNtL4gg5isJFmE4lUEN7hzL9bycrIQKqnx92oC0ikUgzNyqs6rGLxYjCVQ/0P3tquUp1amNraYGhWnqafDCqJ0ASh1BIlAgXhHZLj5Su9JN27z+M7sXh06ahU0ej1VT0L8+30Xcco6sXD33S8qt5e3Dp1hpsnTlG7Y7s37q+tp8eIzf8AKArfa7LiGBwkBhupD3FFKghvkfokifjr8jmkOdnZWFd34qMvR6s4quLj1sYXqa4uO3/9Q6lvOC9aUqlIooKASKSC8FY3T56G5yNYJRIJ3X7+vsz2jwKUq2CL7xefkpGSyq4ZQaoOR30U9YhdxchdQR2IRCoIb3Hj+Mt1Oqs3b6JUY7esqt6sCQCJN2+pOBL1IgYaaS6RSAXhLU6t3ah4XK97F0Dev/jqVhQLd79+jNfPUdxePbeJWXkMypmS9jRZ0T8sCMKbiUQqCG+Q8NoVmabMldTS1qZhP38ex95lVpvO3LtwSdUhlXryq0hR10hTiUQqCG9w9cBhpZ+f3LuvokhKXqMBfXFu0QyAiJA1ebbJyshgYc++hIwYnWu9VkHQJCKRCsIbXD0oT6S6RoaAZi1+LZFI6D59KuaVKxK1fRe3Tp/N1Sb+2nXir93gRsRJLuwIU0GUpYeotavZRCIVhDykJSdz88QpACrUcAEgLGhenm1f788siv7Nouh3fV9SiYTGgwYAsOKTkWz7eYbS649j7ykeH1oSzIWd4Ty8dl0sxSZoHFGQQRDycHnvAcXjul06cvPEafRNjFUYkWrU6dCWcrY2rBj2KafXb+JpXBwfdO+KUxNvHt+9C0ClunW4feYcm76ZBICRhQXubX3xGTkUaRlbJeeNimOorbggVRviilQQ8nBh58tblbGRF5Hq6GBYvjxpyckqjEo1HOt/wIdffArI+43/GTOWQ4uDMbaUlxO8ffosVbw86TxlIg0+7gXIOLZiNWtGj9WYq1Nxa1ezFeqK9NHt2KKOQxBKjWePHnPtSAT2tdyJPR9JzKEjZGdmknjrNvO6f0zP36cVqChDUXxbLe4pMO+KsUqD+nSf8ROx56M4GrySffMX0XbCOOp268SZTVu5fjSC2h3bUadze9zbf8TmbyZzI+IEJ/7ZgGP9usUcvZwqP5diYq6pxTGF4iGRFeAr4927d3F1deXp06fFGZMgCEKhmJiYcOnSJezs7ErkfMX9mVjS70conAIlUpD/xXn0jhqcgiAIqmBmZlbiSac4PxNV8X6EgitwIhUEQRAE4SUx2EgQBEEQ3oNIpIIgCILwHkQiFQRBEIT3IBKpIAiCILwHkUgFQRAE4T2IRCoIgiAI70EkUkEQBEF4DyKRCoIgCMJ7EIlUEARBEN7D/wHVnAn+q+3vjgAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig245 = plt.figure(dpi=120)\n", - "ax245 = fig245.add_subplot(111, projection=crs.PlateCarree())\n", - "da245.plot(ax=ax245, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax245.add_feature(cfeature.OCEAN)\n", - "ax245.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax245.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax245.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax245.set_title(\"Sonoran Desert SSP2-4.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585_75/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_120239/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_120239')" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " end_time=\"2075-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = discharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "f821bf3e-42ea-44e4-9f14-1bc512ff770a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "timeseries585.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "92793746-27c5-4762-8646-00335146db96", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP5-8.5." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9b397721-1fb5-4b52-a73e-504d3fec2ed4", - "metadata": {}, - "outputs": [], - "source": [ - "da585 = pcrglob585.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cdb73527-fc01-4a0e-a60e-0a3efcadcd87", - "metadata": {}, - "outputs": [], - "source": [ - "fig585 = plt.figure(dpi=120)\n", - "ax585 = fig585.add_subplot(111, projection=crs.PlateCarree())\n", - "da585.plot(ax=ax585, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax585.add_feature(cfeature.OCEAN)\n", - "ax585.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax585.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax585.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax585.set_title(\"Sonoran Desert SSP5-8.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(timeseries126*1000, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245*1000, label=\"SSP2-4.5\", color=\"darkblue\")\n", - "plt.plot(timeseries585*1000, label=\"SSP5-8.5\", color=\"orange\")\n", - "\n", - "plt.title(\"Groundwater Recharge CMIP6 (2075)\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Recharge [mm/day]\")\n", - "plt.xticks(rotation=30, ha='right')\n", - "plt.legend(loc=2);" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "202e6208-00a1-4520-9852-08e99a93e772", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "total_126 = timeseries126.sum() * 1000 \n", - "total_245 = timeseries245.sum() * 1000 \n", - "total_585 = timeseries585.sum() * 1000 \n", - "\n", - "categories = [\"SSP1-2.6\", \"SSP2-4.5\", \"SSP5-8.5\"]\n", - "totals = [total_126, total_245, total_585]\n", - "colors = [\"green\", \"darkblue\", \"orange\"]\n", - "\n", - "for i in range(len(totals)):\n", - " plt.bar(categories[i], totals[i], color=colors[i])\n", - "\n", - "plt.title(\"Total Groundwater Recharge CMIP6 (2075)\")\n", - "plt.ylabel(\"Total Groundwater Recharge [mm]\")\n", - "plt.grid()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4e8ca028-958c-42b4-9d2f-c01f7f1096b9", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2100_rech.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2100_rech.ipynb deleted file mode 100644 index 714a9c0..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_CMIP_2100_rech.ipynb +++ /dev/null @@ -1,771 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Groundwater recharge in 2100\n", - "Groundwater recharge in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model\n", - "Location of the groundwater recharge: Gila river near Yuma & ..." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126_100/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Starting and initializing the model" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_174609/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_174609')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " start_time=\"2100-01-31T00:00:00Z\",\n", - " end_time=\"2100-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "markdown", - "id": "1d5efb10-0814-4b11-9161-3c77d4675bc3", - "metadata": {}, - "source": [ - "Running the model" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = discharge_at_station126[0]\n", - "\n", - " # Show progress\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "e0038bd6-03eb-4ddd-9719-815fe5b005e3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "timeseries126.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "b247d9a7-00d8-4d1b-8b2a-62a3f61ccde7", - "metadata": {}, - "source": [ - "### Results\n", - "Graph of the groundwater recharge in 2025" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "e32dc1d3-b768-4dd3-8919-67af82b627bd", - "metadata": {}, - "outputs": [], - "source": [ - "da126 = pcrglob126.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "916657b4-b345-42fe-9ac5-3762ac86c595", - "metadata": {}, - "outputs": [], - "source": [ - "fig126 = plt.figure(dpi=120)\n", - "ax126 = fig126.add_subplot(111, projection=crs.PlateCarree())\n", - "da126.plot(ax=ax126, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax126.add_feature(cfeature.OCEAN)\n", - "ax126.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax126.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax126.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax126.set_title(\"Sonoran Desert SSP1-2.6\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP4-6.0\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245_75/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_175929/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_175929')" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " start_time=\"2100-01-31T00:00:00Z\",\n", - " end_time=\"2100-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = discharge_at_station245[0]\n", - "\n", - " # Show progress\n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "3cc1f096-4d36-4cc0-bd36-a353650f0092", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "timeseries245.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "37974d63-7177-4681-ac2d-4618b6aae493", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP4-6.0." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "91e9030b-b052-4d90-864c-091217f78292", - "metadata": {}, - "outputs": [], - "source": [ - "da245 = pcrglob245.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dd6408f5-0344-4f53-9c15-be1f7b7dcb67", - "metadata": {}, - "outputs": [], - "source": [ - "fig245 = plt.figure(dpi=120)\n", - "ax245 = fig245.add_subplot(111, projection=crs.PlateCarree())\n", - "da245.plot(ax=ax245, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax245.add_feature(cfeature.OCEAN)\n", - "ax245.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax245.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax245.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax245.set_title(\"Sonoran Desert SSP2-4.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585_75/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_181406/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250108_181406')" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " start_time=\"2100-01-31T00:00:00Z\",\n", - " end_time=\"2100-12-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = discharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "f821bf3e-42ea-44e4-9f14-1bc512ff770a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "timeseries585.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "92793746-27c5-4762-8646-00335146db96", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP5-8.5." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9b397721-1fb5-4b52-a73e-504d3fec2ed4", - "metadata": {}, - "outputs": [], - "source": [ - "da585 = pcrglob585.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cdb73527-fc01-4a0e-a60e-0a3efcadcd87", - "metadata": {}, - "outputs": [], - "source": [ - "fig585 = plt.figure(dpi=120)\n", - "ax585 = fig585.add_subplot(111, projection=crs.PlateCarree())\n", - "da585.plot(ax=ax585, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax585.add_feature(cfeature.OCEAN)\n", - "ax585.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax585.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax585.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax585.set_title(\"Sonoran Desert SSP5-8.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(timeseries126*1000, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245*1000, label=\"SSP2-4.5\", color=\"darkblue\")\n", - "plt.plot(timeseries585*1000, label=\"SSP5-8.5\", color=\"orange\")\n", - "\n", - "plt.title(\"Groundwater Recharge CMIP6 (2100)\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Recharge [mm/day]\")\n", - "plt.xticks(rotation=30, ha='right')\n", - "plt.legend(loc=2);" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "202e6208-00a1-4520-9852-08e99a93e772", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "total_126 = timeseries126.sum() * 1000 \n", - "total_245 = timeseries245.sum() * 1000 \n", - "total_585 = timeseries585.sum() * 1000 \n", - "\n", - "categories = [\"SSP1-2.6\", \"SSP2-4.5\", \"SSP5-8.5\"]\n", - "totals = [total_126, total_245, total_585]\n", - "colors = [\"green\", \"darkblue\", \"orange\"]\n", - "\n", - "for i in range(len(totals)):\n", - " plt.bar(categories[i], totals[i], color=colors[i])\n", - "\n", - "plt.title(\"Total Groundwater Recharge CMIP6 (2100)\")\n", - "plt.ylabel(\"Total Groundwater Recharge [mm]\")\n", - "plt.grid()" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4e8ca028-958c-42b4-9d2f-c01f7f1096b9", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_ERA5.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_ERA5.ipynb deleted file mode 100644 index 72c58d8..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sd_ERA5.ipynb +++ /dev/null @@ -1,314 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "b1e20075-aa66-4499-87af-f7146360c28f", - "metadata": {}, - "source": [ - "# Sonoran Desert: ERA5\n", - "#### Discharge in 2024\n", - "Simulation of the discharge of the Gila River in 2024, using the historical data of ERA5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "3ca52461-f9ec-47fc-9d67-950e48e3b7b2", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "57399c47-4d03-42bb-9eaf-dede6eeb7490", - "metadata": {}, - "source": [ - "### Setting up the model: SSP1-2.6\n", - "Creating the parameter dataset and the forcing dataset at the Gila River, near Yuma. Next, these datasets are used to set up the pcrglobwb model." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "1ce74ebe-dd3e-4642-93c3-dbd2768f2660", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "545a4407-2ce0-45d5-b146-ab3b50ac736c", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "a63ab0cc-6ac5-4fee-bdd8-2894b19247b6", - "metadata": {}, - "outputs": [], - "source": [ - "forcing = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "47939a11-2250-42be-81cf-26f3af0bc6bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "2cd9e137-69ed-4570-8c9f-c9e1e1492a9a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_185031/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_185031')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg_file, cfg_dir = pcrglob.setup(\n", - " end_time=\"1997-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file, cfg_dir" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "9dcf2905-02a4-4237-ac10-ada0fe5f92b2", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob.initialize(cfg_file)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "4503aa9d-d696-434b-8618-e4b78216e7c8", - "metadata": {}, - "outputs": [], - "source": [ - "time = pd.date_range(pcrglob.start_time_as_isostr, pcrglob.end_time_as_isostr)\n", - "timeseries = pd.DataFrame(\n", - " index=pd.Index(time, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "fa1fbb53-f4df-420c-9e0c-4500c1c6a3dd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob.time < pcrglob.end_time:\n", - " pcrglob.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station = pcrglob.get_value_at_coords(\n", - " \"discharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time = pcrglob.time_as_isostr\n", - " timeseries[\"PCRGlobWB: Sonoran Desert\"][time] = discharge_at_station[0]\n", - " # Show progress\n", - " #print(time,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "9c87b055-7a8a-4a2e-ab91-638497017122", - "metadata": {}, - "source": [ - "Now, the data can simulate a map that shows the discharge in the Sonoran Desert. This is also creates a graph for the year ..." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "65b4c259-01d5-45a0-b6df-a29271f1b09b", - "metadata": {}, - "outputs": [], - "source": [ - "da = pcrglob.get_value_as_xarray(\"discharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "0d9859dc-e819-49c2-b973-8ceee7da7f32", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZ8AAAHcCAYAAAAJLqdWAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAABJ0AAASdAHeZh94AACv4ElEQVR4nOzddVxT3xvA8c9GKyCCKCYo2IrdBSomKGJ3d37t7pav3a1fuwO7u1uxULFbVFSa/f5A+bmBwmDjsnHevs7r5bZ7756Lsmf3nnOeI1MoFAoEQRAEIQnJpQ5AEARBSHlE8hEEQRCSnEg+giAIQpITyUcQBEFIciL5CIIgCElOJB9BEAQhyYnkIwiCICQ5kXwEQRCEJCeSjyAIgpDkDNXd4dWrVwQEBGgjFkEQhERJmzYtmTJlStL31OZnohTnk1TUSj6vXr0iT548BAYGaiseQRCEBLOwsODevXtJ9oH96tUrMmfLAREhWjl+Up9PUlIr+QQEBBAYGMimbWtxdMyhrZh02oVzl/in9wBCQkJwq16VXn26kSlTRqnDSrEUxCxdqFrOUC5T7+6z6jFlyNQPTNC4R48e08irOQEBAUn2YR0QEAARIRgVaIrMzFqjx1YEfSLw9vokPZ+kpPZtNwBHxxzky59X07HohQ5tu2BkZITPvm2Ur1hO6nBSPJF8hKQgS2WDPHV6jR4zUqbf/6/EgAMNe3DfD3uHbJSrUFbqUARBEJItkXw0rEGjety57cs/vQbE+IYtCIKekslALtdsE1c+gjr+nTmFtGmtWLRgKXdu+0odTooni+WPXCZXahGKCKWm7jEVKn8SIlIRqdQEQd8lqM9H+LO5sxYQEPCZLFmzYO+QTepwBEFICjKZ5q9U9PzKRyQfDbt79z4Ah4/twcLCQuJoBEFIEiL5qE3cdtMwMzNTANJYpZE4EkEQhORLJB8Ns7GxAeCu732JIxG0RbWPR7UPSEiBZHLtND2m32cngSpVXQHo1L6bGO0mCILwByL5aJhrlUrU8XTH7+EjUYZIEFIKGSCXabbp+UW0SD4aFhoayv69BwEwNzeXOBpBEITkSSQfDTM2NqagcwEAnvo/kzgaITaqfTZijo2QaL9Gu2m66TEx1FrDgoODiYgIB+DHjx8SRyMIQpLQxgABMeBAUMeo4eO4fu0mHTu3I3+BfFKHIwiCkCyJKx8N27plBzlzOTFj9jSpQxEEIamISaZqE1c+GqRQKHj54iX58ufFwMBA6nCEP4hrXo5qn5AmarcJgqBMXPlokP+TpwDI5SKnC0KK8mt4tKaPqcfEp6QGzZoxFwCPOrUkjkQQBCF5E1c+GmRpaQlAnry5JY5EEISkJdPC6DT9vvIRyUeDvn3/BkBwcIjEkQjqUO3Fias+mzb6fURfko4TAw7UJpKPBigUCv6dNosFcxfjXKgAJUoWkzokQRCEZE0kHw0YP2YSE8dPJX+BfGzfvRlDQ/FjFYQURUwyVZv4lEykgIDP/DttFgUK5uPIif3R/T6CIAjCn4nkk0hTJnoTEhLCP/16icSjI1SXuojrznqMpTFUdvgRHvTX48lUvsEaxPKN1khuFEcUQrImhlqrTSSfRLh29TpzZs2neIliNG7aUOpwBEGQigwtDDjQ7OGSG/2+qahFHz58pGunnsjlcuYvmiUqGgiCIKhBXPnE0+5de9i1w4fPn7/w4f1Hrl29TkhICEOHD4xeQkEQhJRKG8te6/e1gUg+8RAcHEzj+i1QKBTI5XLSprWiQsVytG7XkvoNPKUOT/iNav9LeGQ4wcHB+Gzfy65tPtzzvU+atGkoVqooVWq6UqJsCWQq3S1ZUmVSeixTuZ0SpPIeZoamf41Jtc9IHsuHlOo8n7jmGiVH6s5V0sVzFDRHJJ94MDU1pVr1qhzYf4h/Z06hS7eOUockxNPxwyfo32Mwz5+9wNDQEMdcOXj94jUrrq5ixYJVyOVynIsVZPzsMeTKl1PqcAVdJSaZqk0kn3iav3g2jtny8u+0WSL5JFMRERH4P37KI79HPPJ7wn3f+6xatobU5qkZPm4IzVo3wSadNUERwdy/84DD+45w48pNDvocZlCXoWw9vlEUhRWEJCKSTzytXb0egOo1qkocifDpUwC3btzCz+8xDx/48cjvEQ8fPuLJY39CQ0OVtrW2ScvqzcspUbp49HMymYw8BXKTp0BUDb5Rg8ayct5qerfui5GxEa2bt6C2e80kPSdBxyWjodaBgYGMGzeO69evc+3aNT58+MCoUaMYPXr0H/dRKBRUqlSJU6dO0b17d+bOnRtjmzlz5jBv3jyePHlCpkyZaNOmDUOHDsXIKGHTBETyiadNG7dgY2PN9FlTpQ4lxdrrs5+F85dw9MhxIiIiop83NDTEIbs9rlUrkStnTpxyOZIzpxNOOXOQOXPmGFczllgoPR47fCSHdh7mwK5DAOzZuo8pCydQt7EHALZmtkrbm8bRx6Pal6HaZxRj3lDUTsrb6EAfkLox6nX9OpkWCosm8Lbbx48fWbx4MYUKFcLT05OlS5fGuc+8efPw8/P74+sTJkxgxIgRDB48mGrVqnHp0iWGDx/Oy5cvWbx4cYLiFMknnoKDQwgJCeWp/zNy5nKSOpwURaFQMOPfOQwbPBIjIyOqVa+Ka5VK5MqVk2w5spLNIWt0SSNjA2OlfePzoZ0unQ1HT+zn4IEjFHQuQONGzRk/cBIVqpbH2iatVs5JELTF3t6egIAAZDIZHz58iDP5+Pv7M2TIEFavXo2Xl1eM1z9+/Mj48ePp2LEjEydOBMDFxYWwsDCGDx9Onz59yJcvn9pxihvc8TR63AiCgoJwc63F40dPpA4nRVm+dBXDBo8kf4F8+D68zrZdG+nZuxvVa7qRwym7RmrpZc2WlfYd21CyVHEGjx/A1y+BzBw/RwPRCynCrwEHmm4JCkUW42r7bzp16oSbmxv16tWL9fX9+/cTHBxM27ZtlZ5v27YtCoWCHTt2JChOceUTT/UbeCKTyWjeuDUTx09h6YqFUoeUYly9cg2AzdvWkSVLZq2/X8161Vm3dAMbV2zG1NSEfn37kCVbFq2/ryDEJrbbYba2tqRPnz7Rx166dCkXL17E19f3j9vcvn0bgIIFCyo9nzFjRtKlSxf9urpE8lGDV/265Mqdk/PnLkodSopib58NAN87d8nioJx8TAxM/rpvbP0McfXJZDPPyqqVy2jWuDWrFqxhzeL1VPNwo1T5EjRsUR8DU+VqFllSq8wLUjm+6rye2L6V6kIfj6q4YoxQRPz1dQOZPlUF0cJQ658/X09PzxivxDWAID5evnxJ//79mTp1KpkyZfrjdh8/fsTExITUqVPHeM3a2pqPHz8m6P1F8lFTgYL52b51J9+/f4/1H0PQvAaNvJg2ZQY9uvbh1MUjZLDLoPX3dMhuz+nzRzl86Cj/zpjFvh372bdjP9cv32Dywglaf/+UQqFQ8P37dwIDvxH4NZCvXwMxMjLEKaej+P36aceOHTg5Kfcz29ra/mHr+OvSpQuFChWiY8e4p4787TaeOrf4fieSj5ry5MmFQqHA7+EjChV2ljqcFCGHY3bmLpxJmxYdqFOjAbv2b0mSBCSXy6lWvSqFKhXi/dv3NKzWlB0bdpHK3IwBY/thlspM6zHogzev33Bw/xEOHTzCy+cv+RoYSODXQL4FfiMw8BuRkZGx7pclaxZy5XIiV56c5MqVk9y5c5ErT04yZ86U4A88rZHLo5qmjwk4OTmRP39+jR56y5Yt7N+/n9OnT/Plyxel10JDQ/n8+TOpU6fGyMgIGxsbgoOD+fHjB6lSpVLa9tOnTxQrlrDFM0XyUVNgYNRS2WnSiOUTklLjJg149fI1QweNoF7txhw/dxBjY+O4d9QQ2wy2rPVZTb9OA1m3dCNnj1+g19DuVKsTNe/r69evHD18nM8BX3BxrUj2HA5JFltydfH8Jf6dOpM9u/cDUd+Q7TJmwMLSgowZ7bDMbYm5hTmWlhZYWFpgaRH1OCQ4mAcP/Hhw/wHnz13k6JHjSsctX6EsCxbPwSmnowRn9Qc6VuHg9u3bhIeHU7p06RivLVmyhCVLlrB9+3Y8PT2j+3pu3bpFqVKlord78+YNHz58oECBhNW2FMlHTY/8HiGTycicBB3fgrJ/+vUk4HMA0yZNZ6b3HAYO7Zek7585aybW+qxi0ewlzJk0n77tBpDKPBWOOXLw4P5DQkJCgKgP2Zatm1G2fBkKFXamcAq7Qv7w4SPdOvdi9849ANT2qIFXA0+qVKtMunQ20dvFp88nMjKSly9f8fC+H/fvP+DSxctsXL+FimWrsH7Taiq5VtTaeeizNm3a4OLiEuN5V1dXPD096d27d3RSqVGjBqampqxcuVIp+axcuRKZTBZrn1R8iOSjhvfvP3D40DHKVyib4Fm9QuIMGT6AbZt3MH/OYvr064mR2d//HRLSca96S8fOTHlU0ZihI+jRsStLF63gxLGTPPDzo2iZwrh5VMXG1pp1izeyeuVaVq9cC0B1Dzf6DO1F3gJ5ADCM5UPXxtRa7Tj/JjDsW4zn/J885YDPIV6+eEVkZAQGBgbkK5gXlyoV+fb9O69eviFPvtzRc5usjNW7uo9QRHDq5Bnat+rMq5evqevlwbCRg8mXP+q8EzLAQC6XkzVrFrJmzULlqi507d6JJk0b0aJpW2pWq0u7Dq0ZNXY4trbp1D62RiWz9Xz27dv3sy8tEABfX1+2bNkCQK1atXBwcMDBwSHWfTNnzqyUmKytrRk+fDgjRozA2to6epLp6NGj6dChQ4Lm+IBIPmrZsW0XoaGhtO/UNu6NBa0wNjamU5f2DOo/jK2bttOqdQtJ4rC1TceQ4QMYMnwA/oFPlV7z8HTn2sXrPH74hEN7DnNg9yEO7D5Eba9a9BnSg7x582gtLv8n/owYNpZM2TLSrE0TcjhmJywsjFnT5jJ90izCw8P/ur+JiQmDRvWna5/Oar3v27fvmD1zLjP/nYuZmRmLls2lWcsmWumbqVajKifPHqZX974sW7KSrZu3M3zUECpULKfx99JVXbt25enT//+/3Lx5M5s3bwbgyZMnf0w8fzJs2DAsLCyYN28e3t7e2NnZMXjwYIYNG5bgGGWKWGt9xO7OnTsUKFCAKzfOkS9/3gS/qa4aNngU071ncfveVRydckgdjk46ffIMcgMDipcomqA+mwhFBAEBn3HImIsatdzYsn2DFqL8O9Vh0arJx8xQuVP29rU7zJgwi6MHjiOTyShRuhgVKpenYuXyFCrmjKGhYaKufMLDw9m39wBLF63g4IHDSq/lK5iXwC+BPH/2grz5czNs7BDy5M+NXC4nLDyMoweOcf/uA8xSpSJ9BlvWr97Ig7sPmb9yDm1btIzzvd+//8DAfkPZunk7YWFhOBcqyMq1S8iVO2aFcE0PrVYoFGzdsoMhA0fw4vkLcuTIzuPHT7h9+7bGO+j/5NdnonGdScjTanYuWGTAC0J3DUnS80lK4spHDb9WK927Zz89e3eTOBrds3/vQerVaQSAo1MOJk8bT233mmp/O06b1opChQty7uxFFApF8hv5pKJgkQIs37KEa5eus3DGYk4fO8vFc5f5d8JMLNNYULZiGWpWr06Vqq7kcMwe7/N58eIlK5etZsXy/3j18hUGBgbU8XSnUZMGGJoZsHn9Ns6fvoCRsREDhvelV//umJhEzYv6lUDbdWkDQOTP76B1G9TBrWxNurXpyYUTF5g5xxtT09hr2SkUCurXbcKli5epWKk8nbq1x71OLY1UnIgPmUxGg4b1qFW7Ov9OnYn31JlJ8r6CZogrHzUEBHzGpbwbfg8f8U+/XjRs7EXOXE6YmZkl+w9AqX39+pWa1epy49pNevXpxuKFy/n+/TtZsmbGzi4D//TvhadXnRhXFTEmaP68Ed6jax+WLVnJo2d3yZQpY5KdB0BAqPLQ1LTGaf66veo5hYeFc+H8JY4ePsaRw8e5fOlK9HDjrPZZcKtVlQHD+pLW2ip6n19XDT9+BHH6+Gn+W7GOg3sPExkZSeYsmWjZrhnNWzfFLpMdAOZGCZ8jc+e2L506dOfq5Ws45LCnTIXS5HfOR7MmjUmf/v/zS44dOY5Hjfq07dCaOQumSz5p9PDBI3jUqi/NlY/nZO1c+ewYrLdXPiL5qOmR32Nq1/Dkqf+z6OeMjIywskpDGqs05M6dk+49u+JSuaJISD89fvSEBvWactf3Hv0H/cPYCSN5/foNUyf9y7kzF3j86Anfvn2jQsVyhEdE8OrlK4xNjPFq4Em3Hp2VOpNlyAgLC6NG1TpcuXyVD19eJtk37V8Sm3xUB0EEBHxm76H9nDx6mhNHTvL0yTMy2KWnfdc21GvsyasXrzh74jynjp/h8oUrhIaGIpPJqFqjMm06tKRK9crRV+W/JCb5QNQosxGjx7B2+XrevnkHgIWFOVP+nUjLNs1QKBS4V6/HmVPnuHnvMvYO2SRPPr537lKsUBlpkk+9KdpJPtsHieQDIvn8EhERwbkz59m75wBv377ly+cvfPnylc+fP+N75x6RkZE0bd6IZSsXpZgE9Pr1G9at2YjvHV/kcjlmZmaYmJgQFBTEpg1b+fbtG+MnjaFPvx5KPxOFQsHrV6/p/89g9u89RGrz1GTOnIkPHz7w6uVrTE1NadCoHvkL5COdbTqe+T9j104fbly/hbtHTTZvX5/k56rp5PP7MRUKBRv/28zEkVP48O6D0japUplRunxpKlQqR936HmS1//OHXWKTD8CnkM8AfHz/kZNHTzNxxGRevXxNmbKlQCbj3JnztGjVlIXLotZ+EclHJB91iD6fBDAwMKB8xXKUj2V0jf8Tf/r0HMD6tZvIkyc3A4ck7VwUKaxZvY6+vQdFD+tUlcMxO2s3rMStepVYa61lzJSRtRtXAf//oI6IiGDndh9meM9mzWrlBGNoaMjAwf0YOmKghs9EejKZjCatGtGwqReH9h5hn88BHLLbU9GlAkVLFE7SibW/2NjaUK9xXeq6uzOk/3A2b9wGQLMWjZkxd1qSx5MsJaP1fHSFuPL5m8+fMRw0kvDJYyGtVbx3+/btG5XKuXHv7n0ePbuL3Z9KwQR8xnDwSMKnjAWr+B9fSufPXeTwwSMoFAoiIyO5dPEKRw4fI3OWzEybPpEqVV2Ry+UEB4cQFBSEsbEx6dPbJvgKMDwynNevXvPkyVM+vP+Ag70DTjlzYGERtSBccriyfBv0XulxBrPE191KjgJ+XgkFBwcTGakgc9qk7WuLi6RXPl5TkafNqtFjRwY8J3TbQHHlk+J8/oxxjXrIL19Dfv0moft3xDsBmZub07CRF2NGTeD5sxexJ5+AzxjX8ER+5TryG7cI3b89WSegiIgIhgwcwZxZ82O81qhJA7xnTFbqmzE3N9fI+8pkMjJlzkSmzFFVd+ViCSrJ/Wn0W4qmY+V1kgORfP7AcNBI5Jej1pGRX7mOcQ1PtRLQixcvAciSNZYyPL8lHgD55WtRV1iLZmsgcs1SKBScPH6K0SMncP7cBcqVL8PEKeOwsIhKLpkyZyRNmr/3eQiC3pPJQC6SjzpE8vmD8MljkV+/+f8EoWYCcnSKKnp49849Mma0+/8LKokHILJY4ahbe8mIQqFg/96DTJn0LxfOX8TAwICuPToxYdIYzMxENWdBEBJHJJ8/SWtF6P4dylcoaiSgX6U+Tp08TeWqLlFP/iHxqHNFpU0KhYJXr15z8sRpZs+Yy/VrNzE2NqZ9xzb0G9BHkkrNqiOoYhuwILUIxd9L1uiLtCZWSo8/Bn9Seqzp+nQ6RSbXwoAD/b7FLJLP3yQiARUu4oy5uTlnTp+LeiIZJp7Xr9+w12c/t27d4c6tO9y57UtAwGcAzMzM6NGrK3369SRz5j+vcigIgpAQIvnEJYEJ6OvXQMLCwpDL5cky8Zw8fgpPj0YEBQUBYGlpSf4C+ShQMB+FCjtTx9Nd+krBgqArxIADtYnkEx9qJCCFQsGa1esYMXQMISEhNHCvkSwST2RkJOvXbuTBfT9CQ0NZungFISEhLF+1iHIVypI1a5ZkMWxZEISUQSSf+IpnAur3zyAWzF1MunQ2LJw5lQ6r1yK/eiP6MFIkntev39CvzyC2b90Z/VzWbFlY8d9i3D1qJVkcmqBaHSA+1QO0LVMq5fkuL76/VHqcJXXSLzwYV9+YJn5OEYrYl79OiaIufDT7f0/fvwvqd4+Wpv1MQJHFCkc/9SsBEfCZd+/es2DuYkqXKcWt80fp+N86DK7eIASYDdSzSsOAsqX4FP95vWr7/Pkzb968BWDXTh/ca9TDyT4f27fupG49D67cOMfVm+e5fe+qziUeQUiuft1103TTZ+LKR11/uQJ6++8kANwqliV949bIr1wnAKgKXAX4/AXmLOL0xascO3Ugqj9IA4KDg9m+bRfLFq/g3NkL0RWSIaroaa3a1WnVtgXuHrXErTVBEJIFceWjhsDAQCaMnUy/sZNY2LwxZ3Ln5OvP1+RXrvO5Yw8ADP9bj/zKdX4AHkQlnv69uvLx6ys6dGrLxQuXOHbkRLzf967vPYKDg2M87z11JvaZcpIxnQPtWnXiyuVr1PaoGV1RoWKl8jz0v8Pm7evxqFNbJB5B0BKZTIZMruGm57+v4sonnu7dvY97TS9evngZ47VsRGVx/4ePAEj76g0+wBjgMtCneyfGTY+6KurbvzfLlqxk1oy5VK7q8sf/YIGBgaROnZo5s+YzeEDUGvVNmjUic5ZMFC9RDHPz1GxYt4l3795ToWI5anvUpEWrZtjYWBMSEsLrV69xyO6gjR9FtPjMudF2H4wUfTxxUe3jefPjndLj2P7N46oHp+78pqT4uaQ3Ux4NqXqedqnSaz0GQXeJ5BMPCoWCXt378vLFS2bPm45btcr43rnHnTt38b12A989+wkLCsYMCAJ6/dzPgKgrnrH/Tow+VvYcDjRq0oCN6zfTsV1XBg3pT85cTkrvNXXSv4wZNQFHpxz4/UxoMpks1rpquXLn5MARH6UPNBMTE60nHkEQ/k8b1XUUye97lUaJ5BMPN2/c4tTJM/To1ZWOndsB4JDdgVruNQCQPfbHJFdhwoFLwCnAEiizdxu5q1WOcbzps6YS8CmAtf9tYO1/G7B3yEbJUiUoXqIoV69cZ+P6zdjZZYhesK5j53Z4z5jMs6fPef7sBadPncHQ0BCFQkHzlk30/vJcEAT9I5JPPCxeuAyAuvU8Yr4Y8Bmjpm2AqB9mmZ8NIHLEWEJLFI0xrNraOi07fDZz8vgp1q/bxPlzF9m8cSubN24FoHoNN1atXYpCoWDblp1UrlIJY2NjnHI64pTTEdcqlbRynoIgJIxMpvk+Gn3/UimSTxw2rN/M8qWrKFe+DOXKl1F+MZbKBb/7WyUEmUxGJdeKVHKtCEQNkb5+9QapUqemRMli0f/x2nVoreEz0pz49Cskh3k4UotP38erH2+UHitU5tBkTp38Sxwlx7p7SUUUOFCfGO32F8MGj6Jty47YZbRjyfIFyt9E/lAyJ+TB9T/OA/obKysrXCpXomSp4nr/jUcQBEEknz84dOAI071nUap0Sc5ePK5c0fkvtdoUORz+OhFVEAT98+u2m6abPhPJ5w+8p87A0NCQ1euWxWs9HqVba3FUQhAEQUjpRJ/PH2Szz8rJE6cJCw37/5PqVKdO5HpA+iIl9vGoik+/V6ZUdjGe+51qvTjVY6jbJxSfmOLsw1F5OWMq5eXiU9K8HxlaGHCg57874srnDzJmjCoWGRISEvVEQpZFEFdAgiAIsRLJ5w8OHTyMlVUaHJ1yJG49HpGABEH/aaOoqH5f+IjkA1FVBX4vxrlzx26uX7tJHU93TH4EJX49HpGABEGviQEH6kvxfT6LFixlyqR/efvmLdbWaTExNeXli5fY2qajT4c2mlsITvQBCYkQ15pAL7+/UnpsJDdWeqxah021PyEylrV5VD/8YqylJPt7n5BqH8/rH2+VHqv2EQkpS4q+8vGeOpM+Pfsjk8mo5V6D3HlykT59Opq1aMyJvdso1HuAZlcgFVdAgqCXZHLtNH2WYq98bly/yegR48hfIB+Hju0lrUpCMezcSztLX//hCshw8EjCF81O3LEFQRB0hJ7n1j+bNGEakZGRLFu5MEbiAQifMpbI4kUALSx9rXIFFFm8COFTxmrm2IIgJLlfy2hrtkl9VtqVIpNPeHg4+/YcoGKl8hQq7Bz7RlZWhO7fTnj7Vtrpk/mZgKKOvx2sNHx8QRCSjAwtLKMt9UlpWZLfdguLDIvxnJHcKElj+Po1kNDQUHI4Zv/7hlZW2r0VllbLxxeShRgd9bFM3kzshELVSaaqv2fvgj8oPbYxSav0WB5LB4OmJzkqiDmoQUi5UmSfT2hoKABGRkmb9ARB0E8ymQy5WFJBLSnyttvWzdsBcC5UUOJIBEEQUqYUdeWjUChYteI/Bg8Yjl1GO5o0ayh1SIIg6AGxmJz6UkzyUSgUdO/SmxXLVpMxU0b27N9O6tSppQ5L74nF5GKKTxFPdX9Oqn08qv2o6U2VJ5l+DAlQemxlbBlnnDEey/7el6W6faZUGZUev/rx+q+vC/otxdx227F9FyuWrcatWhWu3DhH3nx5pA5JEAQ9ofGRblpYGTW5STFXPufPXgRg+qypsc7rEQRBSChx2019KeLKJyQkhO3bdmJjYx338GpBEARB65L8yie2OT1x3a9OiJCQEC5fusr+vQdZu2YDr1+9ZsLkscjlKSLfJhvxmePyt+1TisSet7r7q87zCQj5HGObVIZmf30P1d/TOP9tZX/vA1ItjqruAnlS0sZtMj2/8NGv224KhYI9PvtYsnA5J46fil4ILpt9VkaNGUbP3l0ljlAQBEEAPUs+0yZPZ9SIcRgYGOBauRLlK5SlfMVylClbSlzxCIKgNTKZDJlc9PmoQ28+kZ8/f8Hkid7kzpOL+49vsXvfNgYN7U+58mVE4hEEIcUIDAxk4MCBVKtWDVtbW2QyGaNHj1baJiIigunTp1OjRg2yZMlCqlSpyJs3L4MHD+bz58+xHnfOnDnkyZMHExMTsmfPzpgxYwgLi1kuLb6SxaeyocxQqSkUCqUWH6tXrCEoKIiJk8eSObPu3CtOaWRx/FGo/BHiKZFjdA1kBjGaiYGJUjM2MFZqEYoIpSaXyZUav5aCjueS0Dq9imcyWkb748ePLF68mJCQEDw9PWPdJigoiNGjR2Nvb8/MmTPZu3cvHTt2ZPHixZQrV46goCCl7SdMmEDv3r3x8vLiwIEDdOvWjYkTJ9K9e/eEBYke3XY7fOgYFhYWuFWvInUogiCkML+WVND0MRPC3t6egIAAZDIZHz58YOnSpTG2MTMz48mTJ9jY2EQ/5+LiQrZs2WjYsCFbt26lRYsWQFQyGz9+PB07dmTixInR24aFhTF8+HD69OlDvnz51I4zWVz5JFZwcDCXLl6mYqVyolioIAgpWnyuHA0MDJQSzy8lS5YE4Pnz59HP7d+/n+DgYNq2bau0bdu2bVEoFOzYsSNBcerFlU9wcDARERHYpreVOhRBEFIgbQ619vPzi/Gara0t6dOn1+wbAkePHgUgf/780c/dvn0bgIIFlQsxZ8yYkXTp0kW/rq5kkXzCFeFKjxM6zycoKJgF8xbz1P8ZI0YPEbXbdFBKneejKq46aRGKCKXHhjKDRL1fZAL61wzlyh8fqv2z6t+GEv/2sYmt32bUqFExBhEk1suXLxk8eDDFixfH3d09+vmPHz9iYmIS6+eptbU1Hz9+TND7JYvkk1gWFhbY2Fizcf1mNq7fDMCKZatp1aY5E6eMFbfiBEHQKm2W19mxYwdOTk5Kr9naavYuz6dPn6hVqxYKhYKNGzfGGCH8t3NL6HnrRZ+PgYEB//TvHf24b//eZMqckbmzFzBrxjwJIxMEQUgcJycn8ufPr9Q0ecstICAANzc3Xr58yaFDh8iRI4fS6zY2NgQHB/Pjx48Y+3769Alra+sEva9eXPkA9OrTjbDQUKq4VaZEyWI0bd6IEkXK8f7de6lDEwRBz8nQwpVPEtyGDAgIoGrVqjx58oQjR47g7OwcY5tffT23bt2iVKlS0c+/efOGDx8+UKBAgQS9d5InH9U6bqCZWm5GRkYMHjYg+vGb128B2OOzjzRpLLl//yFFihbCq4En2bJlTfT7CfGjC7XcIhWRSo/lMs3eEEjIfKW4auJp+uemiaMl9sPXUKa734VlMtBwgQOt13b7lXgeP37MoUOHKFKkSKzb1ahRA1NTU1auXKmUfFauXIlMJvvjXKK46O6/dhzKVSgDwCO/x4wbMwmATRu2MH7MZPye3sHKykrC6ARBELRn3759fP/+ncDAQAB8fX3ZsmULALVq1UImk1G9enWuXbvGzJkzCQ8P5/z589H729ra4ujoCEQNKhg+fDgjRozA2tqaatWqcenSJUaPHk2HDh0SNMcH9Dj5mJqaMmrMMF6/foNHndoEBf2gUf0WfP/+nZn/zmXkmKGi7I4gCBohk2uhtlsijte1a1eePn0a/Xjz5s1s3hw1GOvJkycAXLp0CYDevXvH2L9169asXLky+vGwYcOwsLBg3rx5eHt7Y2dnx+DBgxk2bFiCY9Tb5COTyZRuw0VERGBllYbPn78wZZI3UyZ5U6ZsaVq2bkbzlk0wNjaWMFpBEATN8ff3j3Ob+JYu+6VXr1706tUrgRHFpJNf/cMjw5VafBgYGLB733al586dPU+3zr0oVawCp0+e0UaoKY5qbTZ1a7nF9UcjMarUDlStSRauiPhrU61pltifQWx/VMXYQsN10OITg7alN0un1D4Ef1JqyZlYRlt9Opl8Eqp4iaLcfXidseNHUreeR/Tz9+7ex61ybdq17sTB/YeJiIj5gSIIgvAnql8GNNX0WYpKPgAO2R0YMLgvGzb/x407l8iTN3f0a+vXbqKuewOqV3GPUdVVEARB0JwUl3x+lyt3Tnbt3Upt9xpYWlpGP3/m9Dm6dupFZGTkX/YWBEGIIkMLt92kPiktS/IBB7HN6VGd+xPXvJ/PoV+VHqczTdgMW4CsWbOwZccGXrx4iZtrLZ4/e0GmzBnZuH4zt2/eJnfeXDg6OtKuQyscsjsk+H30UWx9MOr2Fai7vbbnu4D6ddJU+30M4tg/Pj83bZ/nt7DvSo8tjS00enxN0PR8KyF5Ef+6P2XJkpmFi+cQERHB82cvKFGyGE/8n7Jty06mTZlOscJlmTl9jtojRARB0H+iz0d9ejvUOiEquVZk3sJZdO/SGxsba358j6plZGhoyI/vPxgycAT37j6gW49OREZGEh4eQXh4ONlzOJAhg+bLmwuCIOgrceWjol2H1mTIkJ6bN6LWqDh0dA8nzhzG3iEbAKtW/EepYhUoU6ISFcpUxrVCNRwy5+Kf3gNEH5EgpFQyzV/96HunT7K48lHt41Gdu6O6boi2/03y5c/L2TNRpSamTp7O1p0buHDlFJ7ujTh/7gKVXCpQuYoLBoaGyGQydu/cw8J5SwgNCWXO/BmicoIWxegbScBtUE3fzlDtm9BEPTtt9wGp/k4lB6rnmNg1ipKSNheT01fiUzIW+QrkJSQkBK8Gnhw6eIQmDVrwyO8J02dNAeDE8VPkcMpBvwG96du/F3sP7qCqW2WWL11Fp/bdCA0NlfgMBEEQkjeRfGJRubILAJkyZaRe/brs3XOAcqVcKFvSJXqbVs3aERISAoCZmRmbt6+jtnsN1v63gTq16hMQ8DnpAxcEQRK/artpuukzkXxiUb2mG0WLFWbenIV079mF85dP0rJ1M0qVLknWbFmAqNs9b16/id7H1NSUDVvW0KV7R04cP0XJouUZNngUz54911qc799/IDw8fuWFBEEQkpNkmXxUa2N9DQ1UapbGFkpN0wwMDFj531IMDAyYMHYyhQo7s3jZfI6fPsiDx7d5/Pwej57dxd7BXmk/Q0NDZsyaxsw53oSHhzPdexauFarjs3uvxgcj+D/xx8k+H4Xyl+DLly8aPbYukWL4amJrtyXoPDVcd02OTKlJIUbdPgVKzVBuqNSSMzHJVH3JMvkkB4aGhhgbGxMcHBLjtYwZ7ciUKeMf9+3ctQOPnvoyaeo4Xr18RcN6zahYtipHDh3T2DyhO7fvEhoayuNHTzh98qxGjikIgpBURPKJxVP/p1Sv6k5wcDD9B/ZJ0DHkcjl9+vbkyo1z9OjVlZs3buFesx7VKtfm8MGjib4S+v0b/KGDRzh25AQ9uvahZbN2YsCDICQxuUymlabPRPJRER4ejqdHI148f8mS5fOp5V4jUcfLlz8v06ZP4ta9K7Rt34pzZy/gUcuLEkXK8e7d+wQf9/fh3IsWLKVW9bosW7KSLZu20ap5e27dvJ2ouAVBUIM2qhuI5JOyrF+7kXt37zNoSD+atWiisePa22dj/qLZ3L53BU+vOvjeuUtVl5oJTkCpUplF/90huz0TJo/l+OlDuFWrws7tuylZtDy1q3uyft0mjhw6RnBwsKZORRAEIdGSZfIxkBkoNXOj1EpNJpMrNU1auGAplpaW9OnXU6PH/cUhuwNrN6ykT9+ePHzgh5trLQ7uP6x2X1DZ8mWi/54/f1769u9FqdIl2LV3K6fPH6NRkwacOH6Kdq064V6zHpUrVufEsZOiNl0CaGNBO6klhxpiMYZiqMSUytBMqQVHhMRoyYXGBxvo/4VP8kw+Unnz5i1XL1+jek030qRJo7X3kcvlTJo6Du8Zk3ny2J+67g3I4+TMqOHjoucO/c2XL1/o0bUPALXda7BkxUKl14sVL8KqNUvxfXidlWuW0rN3N65dvUENtzoUzFuM9es2iSQkCIKkRPL5zdXL1wCo5FIhSd6ve88u3HlwjV59uiOXy5k6+V9cK1Tjv1Vr+fr1a6z7KBQKmjVqzaoVa0if3pZZ86aTNq1VrNtmy5aVxk0aMPXfidy4c4k+fXsS8CmAdq06Ubd2A/yf+Gvv5AQhBRGTTNUnks9vIhVRI9BMTU2S7D2zZs3CFO8J3Lp7hf4D/+H2LV86te+OfaZcFMpfgnKlXXGtUJ3KFWtQ1aUmhfKX4OiR49R2r8GdB9fInDlTvN4nV+6cTJo6jpt3r9CydTMOHTxC8cLluHb1unZPUBBSgNhuGya66flMn2SZfOQy+V+bocxAqWnKr39sKW5JGRoaMm7iKPxfPmDugpmUr1AWIyMj3r97z9Onz3jy+AkPH/jx6eMnXCtXYsV/SzA3N1f7fWxsrFm8bD47fbYQFhZG00atEl4KSBFL0wPqTiLVRUZyI6UWFhkWowmCNiXvacNJ7FfHq5T9IdbWaWnfsQ3tO7bR6vtUq1GVMeNHMGTgCPbt2a/RkX2CkNJoY4CAGHCQgiSH5JOUsudwkDoEQRBSKJF8fpPSkk+OHNkBuCr6fQQhUWRaWExOXPlIQKp5Fb+qBqSU5FOgYH6y2WfFZ9feFHPO8aEPfTrqUu0Diq0fSBA0KVkmH6lcv3YDgAwZMkgcSdKQyWTU9qjJU/9n3Lh+U+pwBEF3aWOYtRhqnTIoFAr+W70OW9t0VK1WWepwkoTfw0ccP3oSgK2bd0gbjCDoMFHhQH0i+fx04fwl/B4+okmzRhgZGUkdTpKYPXMed33vAbBv7wG2bd3J58+fpQ1KEIQUIXkmH5W5IwqFQqlpw727UR/CLq4VtXL85GjA4L7kzZcHgDu3fWneuDX5chbmyWN/aQMTkgXVPqDQyDClpm2hEaFKzURuHKMlF2KSqfrEPJ+fUqVODUBIaPIpVqhtWbNm4fL1szx7+oxPnz5z5PAxRg4bg3O+4mSzz0qOHNnJnTcXxUsUo0SJYmTP4aC0lMMvERERHDp4hD279xEaGsqM2dNI/fPnKQiCEBuRfH5KnSoVAN8Cv0kcSdKSy+U4ZHfAITsUKVoIS0sLDh86ypPH/pw5fY7Dh45Gb2tmZkbuPDnJkzcP+fLlIXfe3OTNm5tdO30YPmR09HYlShanY+d2EpyNIEhDG4u/6fticiL5/PSrkKeFpYXEkUhHJpPRuWsHOnftAETd7nz86AkXL17m6uVr3Lt7n7t373P92qa/HqdX976ULVea/AXyJUXYgiDooGSZfFTXF1Ht51Gd+6PuvdFfBUR/kcvkPPV/BkQt+iZEkclkODrlwNEpB02bNYp+/suXL9y/95B7d+/he+ced33vcfDAYaV9+/YeyJoNK/F/8pTPAZ/Jky83WbNmSepTSDFU+2CMZCq/2gn5Eq3SvapaRzFcEaH0WK7yJnKVtbZUf29Vfw9Ve3MjVZ9JxhcCoryO+pJl8pHCs2fPAcgmkk+c0qRJQ8lSxSlZqnj0c5GRkdz1vYe5eWrGj53MmtXryZbRSWm/ocMHMmzk4Fj7jQRBp2ljCQQxzydleOr/DHNzc6yt00odik6Sy+XkL5APewd7Fi2dx5oNK8mTN7fSNhPHT2W692yJIhQEITkRyYeo23q+vvfI4egg2ZLC+kQul1O/gSdXbpxj5ZqlFCtelMnTxpM3Xx5GjxjHsiUrpQ5REDRK83XdZHr/WaQTt93i6gNS916wah9RUFAQb16/oWKl8gkJT/gDuVxO4yYNaNykAQA1alajTu369Ojah8JFClGseBGJI4xdYvsU1T1+Qt4jOEJ5SoCJgfKcl4hI5f4YgzjWvQqPDI/xnGqfjepjwzi+u8Y4T5WHqsdTfd1AZR5PbD+j398jKetACoknrnyAVKlSYWlpyft376UORa/lzpOLBg29ALCwUH8hPEFIrmRoobyO1CelZSL5/OSUy5GLFy7z9OkzqUPRa69fvwYgc5b4Lf8tCIJ+Esnnp7HjRvL9+3fatuwUPedH0LzIyKhbI4aGOnHHVxDiRaznoz6dTD7a6JSr4uZK7396cO7seaq61IwuuCkkzr2796lVrS7r1mwAokrxAMlquLXq+lGq6/kktrZgXMdPSJ+SXCZXaqrHM5AbKLW4ziG29XyCI0KUmrrnGeM9ZSg3VSqvx+f3PLmsvaTp5RRk2hi6ncwkn0+AZGDS1HGMHT+SWzfvUKZEJe7dvS91SDrv0MEjHDt6gvZtuvDjxw+CfvzAyMgoxVQOFwQhdiL5/EYmk9G4WUMgatKksXHyqZqrq0qU/P9E1K2bt/P69RvMzUXRUUG/iPV81CeSj4pfK3qOnTCSHI7ZJY5G95UqXQKnnI4AdGrfnatXrlPLvYbEUQmCILUUmXz+di+5YMH8GBkZsXTxCs6dvaC19YNSCplMxtDhA6Mfp0qViolTxkkYUdSclt9bhCJSqcXVV6Hat6FKdX9N9EvEeE+FSotDbGvFxBWTuucRERmh1OLT1/W3P3H9nJMVbUwwTeClT2BgIAMHDqRatWrY2toik8kYPXp0rNtevXqVqlWrYm5ujpWVFV5eXjx+/DjWbefMmUOePHkwMTEhe/bsjBkzhrCwhK/rlCKTz984ZHfAe8Zknvo/o3LF6pQtWYllS1by7VvKWmpBk+o3rBf99x27N5E+va2E0QiC5smS0WJyHz9+ZPHixYSEhODp6fnH7e7du4eLiwuhoaFs2rSJ5cuX8+DBAypUqMD798pzHidMmEDv3r3x8vLiwIEDdOvWjYkTJ9K9e/cExQgi+cSqU5f2XLp2hk5d2uP38DE9uvbByT4fC+cvkTo0nWRsbEzefHnInScXFUQVCUHQKnt7ewICAjhx4gSTJk3643YjR47ExMQEHx8fatWqhZeXF3v27OH9+/d4e3tHb/fx40fGjx9Px44dmThxIi4uLgwYMIBRo0axdOlSfH19ExSnSD5/kCdvbmbN/ZfHz+8yZ/4MUpub07f3wOjq14L6xC1MQV/JZdppCRGfKSjh4eH4+PhQv359LC0to5+3t7fH1dWV7du3Rz+3f/9+goODadu2rdIx2rZti0KhYMeOHQmKU8z0i4OFhQUdOrXFMo0lrZu359iR47Ru21LqsHROQMBnsmXLmuTvq7rmDIChXL3/9lL0N8RWa+13xgZ/H4kZobJWjoFqHTUNUP25hCmUYzaTmybq+Kq3nTRRE08X+fn5xXjO1taW9OnTJ/iYjx49IigoCGdn5xivOTs7c+jQIYKDgzE1NeX27dsAFCxYUGm7jBkzki5duujX1SWufOIpU0Y7AL59+y5xJLrn+/fvvHn9hqzZxGJygn7S5iRTT09PChQooNTmz5+fqHg/fvwIgLW1dYzXrK2tUSgUBAQERG9rYmJC6tQxp0hYW1tHH0td4sonnmzS2QDw5vVbiSPRPXd9oybrFhDLaguC2nbs2IGTk/LCjLa2mhm087fbc7+/Ft/t1CGSTzyZ/6zC/Pz5C4kj0T03b9wCIF+BvBJHIgjaoY31d34dz8nJifz582v02DY2UV+mY7tq+fTpEzKZDCsrq+htg4OD+fHjB6lSpYqxbbFixRIUg7jtFk+pU6fGzMyM27fuSB2KTgkLC2PWjLmYmZlRukwpqcMRBO3QRnUDLXZnOTo6YmZmxq1bt2K8duvWLZycnDA1jeqz+9XXo7rtmzdv+PDhAwUKFEhQDOLKJ56srdNSuUol9vjsJzQ0VJTeiacL5y/x4P5DOnfrqJH5PS++v1R6/D1Mef7VD5UCmEVsYnaoqkvdTu24FqP7HBqzarq5kfL9dHUHRagOrDCMY/G4CEXci819UYkzksgY2/zO0sjir6+rUnfRvtheF4vJJYyhoSEeHh5s27aNqVOnYmER9W/37Nkzjh07xj///BO9bY0aNTA1NWXlypWUKvX/L5ArV65EJpP9dS7RX2NI1BmkMEFBwZibm4vEowbnQgWwskrD4YNHiIiIwMDg7x+KgqCLZCS87+Nvx0yoffv28f37dwIDAwHw9fVly5YtANSqVYtUqVIxZswYSpQogbu7O4MHDyY4OJiRI0eSLl06+vXrF30sa2trhg8fzogRI7C2tqZatWpcunSJ0aNH06FDB/LlS1hfrkg+aggNDSUiIiLWe59C7CwtLWnbvjUz/p3NpYtXKF2mpNQhCYLe69q1K0+fPo1+vHnzZjZv3gzAkydPcHBwIE+ePBw/fpxBgwbRoEEDDA0NqVy5Mt7e3jEGNAwbNgwLCwvmzZuHt7c3dnZ2DB48mGHDhiU4RtHno4ZSpUsSFBTE+rWbpA5Fp9St5wGAz669EkciCNqR3Nbz8ff3j1Gb71dzcHCI3q5YsWIcPnyY79+/8+XLF7Zv346jo2Osx+zVqxf3798nJCSEp0+fMnr06EQtjSKufNTg7x/1TcJRVLtWS4mSxciQIT17fPYxftJotfZ9F/xB6XGW1JnV2n/5g0sxnmuXq8Rf98k38YLS4zevlfuVPs2polYMb4OU62RlMEt831dYpHJBRyO5eh8Cqn08z1X60gCypFZe6jyuSZ9x9bmo7h/jeCoVMDR9G0tIXsSVjxr2+uzHuVABXCpXkjoUnSKXy6nlXoN7d+/j9/CR1OEIgsaJ9XzUJ5KPGkqXKcld3/t8+fJF6lB0jrtHLQB8dotbb4L+0XhFay3MG0puRPJRg2sVF8LCwrhx7abUoegc1yqVSJ06NatWrCE0NFTqcARBkJjo81HDy5evALDPbi9xJLrHzMyMf/r1ZPzYycyaMY8Bg6LmEXwNDVTaLkJlLkl603SJel//rzHrUQ04f1/p8euvygUwfYf+fTJs2hrzlJ8IVy6o6buridLjjKkyxBWm2hJbIdzvq3KxSkNZzD4jtec3qfbZqO4f1+FUXo9PH9Dv7yFlkVFtVjjQV+LKRw2REVET8z68T1ghvZSu/6B/yJnLiYnjpvDksb/U4QiCICGRfNTQoVPUehajR4wTa9MkgImJCXPnzyA4OJguHXsQERFzuQNB0EUyNL+Wj35f94jkoxbnQgVp2boZhw8dZcmi5VKHo5MqulSgc9cOnDxxmunes6UORxAEiYg+HzVNmz6J48dOMmzwKNzr1CJTpoxSh6RzJk0dx8kTpxk7agKlKpSgaIki0a+pWx8sLmOLx136Q92aYAH7/75ufdpuB5SfCApSepg1b8y5SjcH/n3uUWiE8iCNuBaTU3X/ywOlx7nT5FJr/9hERP79ytVArjyXKK5abqrHU93eKJZ+qeRCJlMgk2n2boimj5fciCsfNaVJk4Yx40fy7ds3du/cI3U4OsnMzIxVa5ZiYGBA5zY9+PJZDF0XdJuY56M+kXwSoELFcgBcu3pd2kB0WEHnAkycMhb/x/7UqOTBw/sxlwoWBEF/JSj5TJnkzffvKXc56cyZM1GgYD42b9zG27fvpA5HZ3Xt3onx08bw5JE/1SrU5sCeg1KHJAgJIpcptNL0WYL6fDZt2Mq1qzc4cmI/traJm4ehi2QyGe06tKFv74GcO3sez3p1pA5JJ8lkMvr905tihQrTomlbWjRoy+MJ/tFzgJIsDg3XGAuYX13tGOpue6z0uIiDcj/R6KLqrWR5/7PyXKbcVrnVjikuoSr15UwNTJQeRyqU52zJZcrfdcMjledHxbWGkerxYjumoDsS/C/38IEf7Vt31mQsOuXK5asA5MsnloZOLJfKlThz4RgFnfMzctgYvKfOlDokQVCbTMNN3yXqa8Ohg0f48eOHpmLRKd+//0Amk5E1WxapQ9EL9g727D/sQ0Hn/IwYOpr5cxdJHZIgxJu47aa+RCWfwkWcU+yiaiVLlUChUHD08HGpQ9Eb1tZp8dm/g9x5ctH/n8HcvnVH6pAEQdCSRM3zuX7tJoP6D6Nj53Y45Yx9ASJ99Wt2vlVaK2kD0TPp09uyfNViypVyYcqkf/lvXdJP5lXt44mr70ITdnrlUHqsul7PnufnlB5bGinP8zEzUP5VLm5bSIPRxe5TyCelx1bGVn/d3txIuc6e6ppCcfW1qTsfKylFLaOt+WPqswT/FrlWroRTTkdmz5xH4QIl6d2jHwEBnzUYWvJ25tRZZDIZhQoXlDoUvVO0WGGKlyjGsSPHRRkjQdBTCUo+lVzKs/fgTm76XubA4d2UKFmcxQuXUbZkJW5cTxnLDQQFBaFQKDA0FEUitKF4yaJ8/PiJZ0+fSR2KIMRJTDJVX4KSj4tr1EqeMpmMii4VOHpyP7PnTefVy9c0qNeMcJUS8/pIoVBgbm6OiYlJ3BsLastoZwfAp08BEkciCII2JOhrex1Pd6XHMpmMjp3b8e7tO8aPncwen33U9fTQSIDJkUKh4K7vPfLmy6P3a25Ixdgkqk8jJET6hedU+3iSog9I9XZjrayllR7HmJskQX+Iar9UaiPlwUdx1WpTpfq7pDqPyCiOeUBSksnQ+Og0ff9o0ehvTdsOrTEzM2PMyAl6ffVz9sx53r//QKnSfy8GKSRcSHAIAKam4spSSP40PccnJcz10WjyyZQpI736dOeu7z327T0Q9w466s5tXwCKFi8Sx5ZCQigUChYtXAbAjm27CQwMjGMPQRB0jcbvFzRs7AXAhXOXNH3oZMO1clSf138r10ociX4KDAzk9avXQFQdQed8JUQRVyFZE5NM1afxm6i58+TCzMyM69duaPrQycavOT6OTjni2FJICEtLSw4e8SHg82dev3rD4AHDqVWtLgeP7qGgcwGpw4vRx6NuLbjYapSp9uFEqtmHo7p/UlDt81GNQXU9H1Ux5vGo/BxVj28sj7mez+/9SMl5HpAQk8aTj6GhITbpbPisx2u07NrhA4BHndoSR6K/KlQqH/13JydHvOo2xqtuE85dOkG6dDYSRiYIMWljaLQYcJAAJibGhIaGaOPQklMoFMycPgdTU1PKVywrdTgpQhU3V2bMnsaL5y9YOG+x1OEIgqABGk8+kZGRvHn9Fmtra00fOtmwsLRALpfz8eOnuDcWNKJ12xbY2WVg9y6xeqyQDP1cRluTDT3v89F48nn+7Dnfv38nf8F8mj50siCTyZj670R+/PhB394Do/t/BO0yMDDA2sY6Wcz7USWTyZRapCJSqUUoIpSa6vYymYxIlT8mcmOlJlP5kxyonldc4joH1Z9JRGSEUkvIMZOKXEtNn2n8/IyMoyYH3rpxW2/rctWp606Vqq747NrL8aMnpQ4nxTAwkBMZGbOzXhAE3aPx5JMpU0ZatGrKqZNn9LYkvkwmY/CwAQC0a92JM6fPxbGHoAk/fgRhbGwc94aCkMRkaP62m0zPR+9p5cqunlddAM6dvaCNwycL5cqXYdCQ/nz58pX+/wwSt9+0LCIigmdPn2Nvn1XqUARB0ACtJB9rm6jBBoGB37Rx+GRBJpMxetxw2nVszfVrNxkzcoLUIem116/fEBYWRjaHbFKHEie5TK7cVP7EJkbfhQ7UWQmLDFdqqn1dqhRx/FEVEhmq1JIzuUw7TZ9pJfk8eeIPQPYcDto4fLIyaco4rKzScPyY6PtJCq9fvZE6BEEQNEAryefRw0cAODjYa+PwyYqJiQn5C+TjyuWren2bUWqZM2eiSlVXdm7fzaEDR6QORxCUiaHWatNK8jl86Bjm5uYU0NPh1qrmLpiJsbExndp3IywsLO4dBLXJZDLmL56Nqakpo0eOkzocQVAibrupT+PJ5/37D1y8cImq1SqnmJFJefLmZtCQfvg9fMTK5f/FeD0kJIRB/Ydx/94DCaLTH9myZSWDXXq+fhVVrgVB12m8ttvB/YdQKBRUqeqq6UMnaz37dGPenIVMnTydvPnyUK58mejCifU8GnHs6AkCAgJYvGy+xJHqrufPX/DU/xktWjWVOhS1JGTBwbgWi0sOE00LWudXenz6zVWlx+UzFP3r/uoWFo3N75NbI2IZ5JBUZGh+aLQYaq2mDx8+AtCz2z9Ypc5A7eqeKaIcfurUqRk6YhAvnr/AzbUWRZ1Lc+rEaSIjI7l54xYAly9djeMowt/86lOrULGcxJEIgpBYGr/yadGqGc+fv+DD+4+8f/eeUyfPUKVSTc5cOEbefHk0/XbJStfunXBxrcjypatYungFA/oN4fzlU1y8doad23dTpmwpqUPUac+fvQAQt92EZEdUtVafxpOPjY013tMnRz8+cewkNdzq0LJZOw4d20vatFaafstkJW++PEybPolPnz6xbs1GKpSpQr78eRg7YRQZMqSXOjydduvmbQD2+uxn1w4fsudwYNCQ/uRwzC5xZEJKJ5Oh8cXf9D35aL12XSXXioyfNIY7t30ZMyrlTMQcN3E0tWpXx/+JP6tXrqVj266iLlkitW3XEgsLC44dPcGpk2dYvXIt5Uq58PjRE6lDU4tCoYjRVItq6qLAsFClFqYIV2qqE2dVJ5mq/gyCI4KUmqBfkqRwar8BvbGzy8Cli5eT4u2ShUyZMrJ150aev3mEa+VKHDp4RIx2S6RKrhV5/PwuD/3v8PLdE1auWcrnz1+YMslb6tCEFE7G/2+9aaxJfVJalmRVuwsXKcTtm3cIDg5OqrdMNn6VG0ovbrslmrm5OVmyZMbaOi2NmzSgSNFC7Ni2O0X+vxIEXZZkyadM2VKEhoZy5fK1pHrLZCN//rwATJ82S+JI9E/jpg35+vUrPrv3SR2KkILJZQqtNH2WZMknnW06AL5/+55Ub5ls/Lryme4tko+mNWrSADMzM4YOGsHbt++kDideYltMTrUPKMYCdMlk0bTfqcZUK2sZpbbh0TWlFuMcFCg11T6gsMgwpab6M4lQRKiUbE0ePxepXbt2DU9PTzJlykSqVKnIkycPY8eO5cePH0rbXb16lapVq2Jubo6VlRVeXl48fvw4yeJMsuTj97PeW6bMGZPqLZONuvU8SJfOBiurNKL8joZlzGjHzDnTeP7sBQ08mxIamryrHwv6SbUIuaaaunx9fSlbtiz+/v7MnDkTHx8fmjRpwtixY2na9P+Ts+/du4eLiwuhoaFs2rSJ5cuX8+DBAypUqMD79+8T9DNQV5IlnxPHT2Jrm458P29BpSR2dhlo3bYlnz9/IU2q9DRr3JrQ0FDWr92ImaEVZoZW1HSrw8MHflKHqpNatWlB3/69uXzpCnNmLZA6HCEF0vhggwTOG1q3bh3BwcFs3bqVRo0aUblyZUaPHk379u3ZtWsXAQEBAIwcORITExN8fHyoVasWXl5e7Nmzh/fv3+PtnTQDeJIs+Xz6FEB4eDg3rt9MqrdMVkaNHcaoMcOwd8jG9q07adaoFe1ad45+/fixkxQpWIrmTdrEuDwW4jZq7DDMzc3Zv/eA1KEIgmSMjIwASJMmjdLzVlZWyOVyjI2NCQ8Px8fHh/r162NpaRm9jb29Pa6urmzfvj1JYk2y5DNm/Eh+/AiicsUarF+3KaneNtkwMjJi8LABnDp3lOw5HNjjsx8AMzMzbt29wvJViwDYtmUHUydNlzJUnWRsbEzJUsW5fOkqgYG6VwFBH+b5qPoWbqjU1J3bFKmIUGrJeX6UTAuDDWQ/Bxz4+flx584dpfbuXez9m61bt8bKyoquXbvy+PFjAgMD8fHxYdGiRXTv3p3UqVPz6NEjgoKCcHZ2jrG/s7Mzfn5+STJ6NMmST6PG9Tl0bC/WNta0a9WJgf2G4v/EP8UtP50unQ237l7h+u2LXLlxjjcfn+KU05GmzRvz+oM/6dPbMmWSN4MHDOf9+w9Sh6tTGjb2Ijg4mEZezTlz+lyMQpWCoIs8PT0pUKCAUps/P/YCxQ4ODpw7d47bt2/j6OiIpaUlHh4etG7dmlmzogY8ffwYVX/T2to6xv7W1tYoFIro23PalGTJB6BEyWKcuXCMsuXKMGfWfPLmLEzZkpX49En7J5qcGBgYkDtPLvLlz6u07ISFhQWHj+/D0SkHs2bMJVtGJ44dOSFhpLqlZevm1PF05/ixk1R1qcm6NRukDklIIbTZ57Njxw5u376t1Lp16xZrHP7+/nh4eGBjY8OWLVs4ceIEU6dOZeXKlXTo0EEl5j9fKSbFVWSSJh+I6nzfd2gn8xbOokWrpty8cZva1etG1+1K6XLmcuLStTM0b9kEgFrV63L2zHmJo9INBgYGrF67jGUrF2JoaMi/02aJqx9B5zk5OZE/f36llj597BPWBw8ezNevXzlw4AD169enYsWKDBgwgJkzZ7J8+XJOnDiBjY0N8P8roN99+vQJmUyGlZWVNk8JkCD5QNT9+XYdWrNk+QJGjBrCzRu3qVCmikhAP5mZmbF0xUKWr1qEqakpVSrVoGunnjz1fyp1aMmeiYkJzVo0oWv3Ttz1vcfJ46ekDinFilDIlFpc/TOq84DyWuVVapc/3IrRkgs5Cq00dV2/fp18+fKROnVqpedLlCgBEH07zszMjFu3Yv78bt26hZOTE6ampgn7QahBkuTzu6EjBnHg8G7CwsKoWLYqo0eMp37dxjRr3Jo9KXzWetPmjdlzYAdFihZi5fL/KFKwNHd970kdlk7o3DXqFsP8eYsljkRICZLLUOtMmTJx584dvn37pvT8uXPnAMiSJQuGhoZ4eHiwbds2pcE5z54949ixY3h5eSXqZxFfkicfgPIVy7F1xwbsHbIxZZI3+/cdYse2XTSo15QJYyen6FsnZcuV5syF4yxYPJugoCC6dOypMzP5peTolIMaNauxa4cPQwaOIDw8XOqQBEHr+vTpw4cPH3Bzc2PTpk0cPXqUiRMn0rdvX/Lly0fNmjUBGDNmDD9+/MDd3Z19+/axfft2ateuTbp06ejXr1+SxJoskg9AjVrVOHPhGGPGjeDoyQPcf3yLwkWcGT92Mg08m/Dx4yepQ5SMTCajdduWeHrV4eKFS5QoXJaF85fw5LG/1KElawuWzKF0mVLMnD4H9xr1ePnyldQhCXorami0JhsJuO1Wp04djhw5gqWlJb1798bd3Z1Vq1bRuXNnTp48GT3AKU+ePBw/fhwjIyMaNGhAmzZtcHJy4uTJk9ja2mr4ZxM7jS8mlxipU6dm4JD/Z93Dx/fRq3tf1q3ZSKliFZgxeyrVa7gpjRBLKWQyGSv/W8KEnE54T53BP70GYGZmxt6DOyldpqRG30uhUBASEpIk9321yc4uAweO7GZgv6EsWrCUEoXLsmnrWsrrwDLcyaV+mzq8b91Qety/YBGNHj8oQly9xoerqyuurq5xblesWDEOHz6cBBHFLtlc+cQmderULF2xkMXL5hHwKYBGXs3JaudE6xYd2LplR4z7mvrOxMSEsRNGctP3MouWziUyMpJmjVtz/tzFRB87MjKSMSOj+tsc7fOR1tyOLh178PTpMw1ELh1jY2NmzvFm07a1fPv2nWlTZkgdkqCH5DLtNH2WrJMPRH3jb9m6OVdvnmPs+JHkzOXEpg1baNGkDbmyF2D3rj1Sh5jknHI60qpNCxYvn8/rV6+pXd0z0VUj3r17z+SJ3uzdc4DXr14DsGrFGvI6FWLFstWaCFtSHnVqY5velufPX0gdiiAI6EDy+cXewZ4Bg/ty+vxRHvrfwXvGZORyOY28mtO/7+AUWc24UeP6bN2xASMjQ9q16sSCRIzsSp/eNvo229GTB7hy4xwLFs/G3iEb3Tr3YuyoCTo/8CNTpozc9b1H00atOLDvkNThCHpE0/09/+/30V/Jqs8nvrJkyUz3nl2oW8+DVs3aM2/2Qp76P2PT1rV6Uxcrvmq51+D6nUtUr+JO394Deer/jJFjhpIqVSq1jhMQ8JmwsDDcPWpSpmwpAPLlz0uNWtWp79mESROmkTVbVtq2b6WN00gSazeupFO7buzYtovdO/dw8erpFFllPb4UKh3eqv1Q/8bo4ymk1vF3PT3z19flKr/L7tnKqnX8pCRH89/kdebKIIF0+vyyZMnMwaM+NGjkhc+uvcyfu0jqkCRhZ5eBXXu34lyoALNmzKVCmSpM956tVp/Y+LGTiIiIwKuBZ4xj7zu4k3TpbBg6aAQD+g7R2TWJsmXLyv7Du5k9bzoRERHcvXtf6pAEIcXS6eQDYGhoyPxFs3B0ysHQQSO5euW61CFJwt4+G+cunWTYiEE8fvSEYYNH0qdn/3jdKgsMDGTxgmWULFWCxk0bxnjd0tKS+Ytn8/nzF+bOXsDihcu0cQpJ5t69qKSTNWsWiSMR9IZM87fedHDAo1p0PvlAVEHO/9YtR6FQUK6UC9kyOlGulAuNG7Rg9IjxXLxwmcjISKnD1Dq5XM7wUUN49vohxsbGrP1vA2VLVuLwwaN/TUIPHzwiMjKSatWrIJfH/l/Co05tXryNWmJ39IjxOjtn5qn/U5YtXkmhwgUpUbKY1OEIQoqlk30+sSlStDCbtq5l/bpNPH/2gufPX3D92k127fBhyiRv7DLa4e5RE486tankWgETExOpQ9YaCwsLDhzxYdGCpWxYtwmPWl7UrFWd9ZtXx3re2eyzArBp41YaNWlAzlxOsR7XxsaaFf8toW3LjgzqP4w161do9Ty0YeTwcYSEhDB56vhk1T+o+uVALkt+3wtn3bmu9LhfwcJq7b/ywSWlx21yJf/5VvEl+nzUp1fnV6NWNVatWcrRk/t5+OQ2X3684/jpQ/Qb0Ic0aSxZungFdd0bkNXOiRZN23L/3gOpQ9aa0mVKsmL1Yq7ePE/DxvXZt/cAzRq1inVUYLp0NkyYPJZHfo+pXtWDgIDPfzxuk5+35bZu3s7lS1e1Fb5WPH36jC2btlHVrTIulStJHY6gR8RoN/XpVfJRZWhoSKnSJRg/aTTXb1/k+u2LjJs4mrz58rB183bcXGtx57av1GFqVd58eVj53xKat2zC3j0HaNmsXawDBvr278XYCaN4/eo1dWs3+ONtygf3H0b/PVUqM63FrQ2XLl4hMjIST686UociCCmeXicfVbnz5KL/wD6cOHOITdvW8vnzF2pU9eD2rTtSh6ZVcrmcRUvn0bhpQ3bt8KF1iw6xFtr8p19PmrVozKWLl5kwdnKsx/L5WWl85ZqlOjdM+Vcfz7o1G6OXp1AoFFy/doPTp85y7uwFne3LEqQl01LTZ3rT56Mujzq1Wb9pNU0btaJGVQ927d1G0WKFpQ5LawwMDFi6YgERERFs2bSNNnI5S5bPx8zs/1cvMpmM2fOmc+7sBSaOn0r6DOmjlyb4xcYmLQBGRkZJGr8m2Ntno237VqxYtpo8ToVwrVyJN2/eKi1TYWhoSP+BfRg5Zliy6hNKDnrnL6z0eNCFvy/vUdDmi9LjNrlKaTokQYelqCsfVbU9arJp61q+f/9BTbc6er9iqKGhIctXLcLTqw5bN2+ndPGKXLt6XWmb1KlTs//wbtKmtYp1SHWu3LkAGD9mErNmzGXP7n18+/aN27fu8OLFS27euMXz5y+4d/c+ISEhSXFaapm/aDa7926jXv26HDt6gru+98icJTPTpk9i0tRx5C+Ql8kTvdm354DUoQo6RCZTINdwE30+eq5GrWrs2L2JiIgI6tSqz7mzF6QOSauMjIxYs34F4yeNwf/JU6pVdufhAz+lbbJly0q5CmXxvXOX2tU9qefRiP17DwJRAxmGjxzMk8f+DB4wnAb1mmJrlYUSRcqR0yE/pYpVIFf2AhQpWIrSxSvy6VOAFKf5V1WrVWbdxlXMWzgLIyMjev/TnR69utKnb0+27NiAgYFBip2wLAhJJcUnH4BKrhXZvW8bAJ7uDblx/abEEWmXgYEB/Qb0ZuWaJXz79o3p3rNibDNpyjiKFi/CqZNn2L/vIF51G3P+3EVkMhnDRg7m0bO7HDq2l249O5PNPiteDTxp37ENI0YNoV2H1gDcu3uf61dvxDh2ctGuQ2s+Bb6mR6+uAISGhmJrm4569ety5PAxvf9/IGiO6PNRn0g+P5UpW4qtO9YTHBxMg3rNePPmrdQhaZ2FuQUABw8cifGaU05Hzpw/xteg92zdsQGFQqF0NWBtnZbyFcry74wp3H90i7UbVjJ3wUyGjhjEvIWzKFa8KOnS2eBaJXkPaTY0NEQmk7FxwxbSpEpP5YrVo/u5du9MeRXThYSRo/nbbvIELCanS1LsgIPYVHKtyPxFs+jQtiuVK1Zn+65N5M6TS+qwtOL16ze0adkBCwsL1m5Y+ddty5QrjV1GO3Zs28Wli1fiVRkgew4Hrly+yuNHT3B0yqGhqDVn65YdLF20nLdv3xERERE9hNzY2ITQkKi5UJZpLLXy3qoFO4FkObghsQvatXASAwyEPxNXPiqat2zKnPkzePb0OS7l3Rgzcjzz5y7668RLXXTj2k0+fvzEt2/fyF/g70Om06a1YvO2dRgYGFDTrQ7TvWfH2Zfj7FwAIFlcQSoUCubMmk+RgqWYP3cRXTr2oEWTNrGWXSpUxJldP9eIcnGtKEW4gg6SybTT9JlIPrHo0KktO322oFAomDzRm359BtGuVSepw9Iot+pVSJ06NQqFgv9WrYtz++IlirJ73zYsLMwZNngkbq61/jqa7f37DwBcuSx9FYQpE70Z2G8o9+7ep1+fQaxasYaqbpXxfXid67cvcuPOJT5+fYVcLmevzz5OnTgNwNr/NuhsBW9BSO5E8vmDKm6uPHhym8vXz1KiZHEOHzpKcHCw1GFpjIGBAdt2bgCgX59BTJ4wLc59ylcoy12/G3Tt0QnfO3fJn7soc2bNj/UDOl06GwCKl5C2eOeTx/6MHzuZgs75ufvwOstWLmTz9nXs3LOFDBnSR28XEPCZyMhInJwcmTUnqhbg7JnzGDtqooTRC7pCDDhQn+jz+QtLS0vyF8hHHU93Ll28zOaNW2nZurnUYWlMRZcKzJg9jX96DWDJ4hV4NfAkV+6cf93H1NSUKdMmkCVLFmZNn8PAfkNZ+996jpzYT+rUqaO3+3XlkzWbtMsWrFm9joiICCZNGY9DdgccsjvEup2xsTEQ1fdSvmI5du3ZQsmi5Zk9cx6durbX++UXvFUWhovN+adWSo+3uOfRUjRCSiCufOKhfcc2GBgY8N+qdcycPocjh47FWp5GF3Xp1pHZ86bz6uUrihcuG695TkZGRvTt34srN89Tt54HN67fwqNmfb5//x69za+lGd68lrbPZ9dOH9Kls8Gl8t/7b6ys0pAunQ0nT5zm8qWrFHQuwLpNqwgNDf1jqSFB+EVMMlWfSD7xkDatFTVqunHq5BmGDByBe8162GfKSddOPfn69avU4SVax87tWLtxFWFhYSyYt5htW3cycdwUTh4/9df90qWzYf2m1fTq051zZ8/Tr8+g6NeaNGuITCZj+JBR2g7/jwICPnP7li9V3CpjYGDw122NjIzYvH09hoaGeNVpxNOnzyhYMGrQhN/DR0kRrqDDxG039YnbbvG0YMlc6tauT7HiRbGzy8CmjVtZufw/0qZNy8QpY6UOL9G86teleIli7N65h7Onz0UX2AwK//zX/WQyGZOnjefM6XOsWrGG5i2aUKFSeYoULUzpMqU4eeI0nz4FYG2dNgnOQtmvCa7xrdlXukxJVq5ZQpMGLRk5bCxfv0R9sejTr6e2QhSEFEskn3iytU3H2Ysnoh8PGT6QgnmLsX7dJkaMHqJUoFNXTZoyFrfKtZVunykUijjnoMhkMuYvmkXFslWp696Qps0bMXBIP2q51+Dc2fM42eejSlUXRo4ZRsGfQ7CTwqNHUSuv5s0b/76Jup4eVK/hxqYNW8hfIB8AL56/TFQcqvN6Ejt/RhP2PD+n8kyqOPfZ4m6vnWD0wK9bZZo+pj4Tt90SSC6X07lrB968fsOKZaulDkcjChaKSgyfP/+/GvHOHbvjta9zoYLs3ruV3HlysnzpKqpXcadl62ZMmDyWoKAgfHbvY8um7VqJ+08+ffwEgM3PkXfxNXbCSCCqHwjgnh4vOigIUhHJJxE6dm4HwIk4+kZ0xchhUbcPK7lUoELFcqRKlYp0NvH/4K5QqTznLp1k1JhhPPV/hpN9Pvyf+ONRtzYA7Tu10UbYfxQUFASAmZmpWvs5FypIg0ZenDl9jkyZMuKza+8fF9cTBBB9Pgkhbrslwq/huYaG+vFj/NWxPmnqOIoULZzg4wwc0g97h2wsnL+UJYuWRz+fPr1tYkNUi7WNNRA14i5vvvjfeouMjMTvoR+mpqbU9qjJkkXLuXb1BsWKF9FWqIKuk6H50Wl6nn3041NTInK5nIyZMrJtyw5sLDPRrEVj5syfIXVYCdatR2eOHjnOxPFT2bwt7qoHfyKXy2navDGeXnUYMWwM82YvxMDAIMmTdK5cUXOWvKfOUKvA6dUr17l+7SZde3TixLGoq9r16zaSPYdDvAZOJIc+nmOvLyk9/qEyNaB21jIqj7UekiAoEbfdEkEmk9Hq56TTHz9+sGzJSp49ey5xVAlXoGBUB/v7d1ETRL99+8bGDVsYOWwszvmKc+H8pb/tHoOZmRne0yez02cLW34OY05KVatVJk0aS27dvK3Wfr/6inLlysmTx/4AzJu9kKx2jvTtMxCFQr87ggX1ybXU9Jm48kmkIcMHUKJkMcLCw2jasBV9evTHIYc9xkbGuFWrQhU3V6lDjLdffVe/+jcqlKnCvbv3o193Ke8GwOixwxk0tH+8j1utRlUNRhl/69Zs4MuXr/Tpq95Q6fv3owYYODjYc/z0QXx27SUiIoJDB4+yYO5iypYrQ4OG9bQRsiCkGCL5JJKJiQm1PWoSFhZG3nx52Lf3/8svz545j2UrF9K0eWMJI4y/evXrMnmiNw8fPCQg4HN04qlbz4Od2/8/6m30yPF06tqBtGmtJIo0bqdOnKZH139Ik8aSHr27qrXv0cPHMTQ0pFyFMlhYWOBcqCAA3Xp2IY+jM90790ahUNCwkZc2Qhd0kEwLFQn0vcKBSD4aYmRkxIkzh9jjs59ChQoSGhqKV90mtGvdmaCg4OjVPZMzcwtzBg7pR9eOPXHM9v9lFlq1bs6M2dPo0aU3e/dEJddZ0+cyetxwqUL9o3fv3jNi6Gj+W7UOU1NT9h7cRebMmeK9/8njpzh65Dily5TEwsJC6TUbG2tWr11Gp/bdaNWsHf5PnjJg0D8a6eO58emW0uPA0FClx5Eqt/osfg52+dPrrhlLqB2DICQlfb+tmKQsLCxo0rQhefPloVBhZ46fPoiJiQndu/SmY7uuOlEPrmXrZhQrXjR6mHLxEsWo4uZKxox2bN25kRatmgLJc3j5ndu+2GfKyeqVaylRsjinzh2Jd3WDXyaOn0poaCi9+/aI9fWatatz+Pg+AEYOG4P/E/9ERi3oA9Hnoz59Pz9JZc2ahfGTRpM1WxbWrF7P8qWrpA4pTnK5nONnDnLv0Q2evnrIqXNHMDExiX59/KQxADFq2ikUCsnXvvn9/T99+sTNG7fUSvjPn7/gzOlz2NhYU6p0yT9ulztPLkaPjbrqK1OiEm1adODQgSNiLlCKpoi+9aaphp4voy2Sj5b16NWV+QtnA1Ej4nSBgYEB2eyzxTovJ+DnCqalSv//ts7+vQcpVaw81hYZqVCmitqjyzSlcJFCPHvtx/CRg3n75h3tWncmX67C7Ni+K15J6L+VawkPD2f67GnY2qb767b9BvZhyLABODo5smnDVurWbkCbFh1EAhKEeBJ9PkkgT77cGBoaMmTgCO763mP2vOlKVxO6xOrnIIMVy1bjVr0Kfg8eMXL4WORyOYUKF+TG9Zu4udbiof+dGH0mScHWNh3DRg6mW88uzJo+lymTvGnasBX2DtnYvmsTWbJmxtzcPEa9ujdv3jJx/FSccjpS271GnO9jaGjIyDHDGDlmGI8fPWFQ/6Fs2bSd4KBg+o3ty9cvX4mMjKRw8UKEK5SvCIPCg2Icr5B1wcSduCApbdwm0/crA30/v2QhS5bMtGzdDIDVK9ey9r8NEkeUcHZ2GWjctCEAzRq1ZuTwseTM5cRN38ucvXiCEaOG8OXLV5o1knaARdq0VoweN5xN29YC8NT/GUWdS5M+bVZKF68Qo6/mxrWbRERE0Kx5Y6VF8eIjh2N2/lu/gibNGuGzex+uRdyo61KfepUb4j1WdycdC4I2ieSTRGbMnsa+gzsB2Lp5u05PVJw0dRwDB/ej34A+TJo6jmOnDuLolAMgeljz4UNHk8VaRx51auP/8gFjx4+kW8/OVHWrzK2bdyhTohJdOvZg65YdvHjxkpDQEADGjp7Ig/sP1X4fU1NTRo4eSslSyqPMlsxZRkREhEbORUi+NN3fo42h28mNuO2WRExMTKjkWpHyFcpy9Mhxrly+RvESRaUOK0EyZrRjzPgRsb5mZmZG915dmDd7IZcuXEkWk2wzZEjPgMF9ox//t2otXTr2ZNWKNaxasQZzc3OCg4OjX79zxzfO5cRVvX79hsIFShIaGoqxiTGhIVFDpRWRCp3+oiEI2iKufJKQTCajVZuocjwd2nbh2JETcezxd4o4/qgdn8qfhEpjaQn8fyntpPDmzVs6tO1Cw3pNqV7F/a8jC1u2bs79x7fo07cn06ZPIjIykqzZsrBg8WyOnz6EZ706ar+/hYU5mTJnBGDz1nVMnjYeMzMzunTriEMae7KkzhzdcqZxitEE3SaqWqtPXPkksTx585AqVSru33uARy0vduzeTBU31zgXbNMlNWvXYOL4qYwbMwmXyhWT5NxGDB2t1Jd28sRpanvUJEOG9LFunyVLZiZNHQdAoyYNsLAwT9SCgObm5mzZvp4KZarQoW0XNm9fz8evr/Tq31X4M5kWFpPT99tu4soniZUoWYy3n55x5MR+DA0N8ajlRYe2XaQOS6OKlyiKa+VKnDt7nju3fdXePyF9JL+KngZ8e0OVqlG3+r78tije36RPb6uRlWjzF8jH6nXL+PbtOzWqerB1y45EH1MQ9JVIPhIwNDSkbLnSnDx7GIB1azby1P8pZ06f4/DBoxw/eoJQlfIqumbgzz6WdWs2qrVfREQE5iY2mBlaMW/Owngnol99S1ntnDh/7iKmpqbYO2RTL2gNcPeoxaFje7GySkPLpm2ZOulf0eeTAshk2mn6TCQfCTkXKhi9ymcep0JUdamJRy0valari5trbUJCQv66v2ofjbp9NontI/qbii4VcMrpyJJFy9m+bWe897ty+Vr03/v/M5iK5apy4/rNOPerXMUFiFoGQi6XM/XfiZLNpSpWvAgnzx2hoHN+Ro0YR6f23XT+y4QgaJpIPhIbNmIQrdo0p6pbZcZNHM3cBTNp0qwRFy9cYtOGLVKHl2ByuZy582dgYmJMs0at45VAAEqWKk6bdi2jH1+9fI3SxSuybs3f50Z51KlNUPhnAoM/8Obj0+glzqWSNWsWjpzYT42a1Vizej3uNerx8ec6QYL+kaPQSkuo06dPU6tWLdKmTYuZmRk5c+Zk3LhxSttcvXqVqlWrYm5ujpWVFV5eXjx+/DixP4p4E8lHYoUKO7No6Tx279tG/4F9aN+xDTNmTwXgwP7DEkeXOJVcKzJu4mgAfH3vxXu/uQtmsmX7etyqVYl+rn2bLgwbPCrO23CGhoZJOsrubywsLNi8fR3denbm1MkzuJR3i16qXBC0Zd26dVSqVIk0adKwevVq9u7dy6BBg5Ru/967dw8XFxdCQ0PZtGkTy5cv58GDB1SoUIH3798nSZxitFsyZGVlhYWFRfSKmrrs1+0mIyOjeO9jYGBAbY+aVK/phs/uvTRt2AqA6d6z+P79OzPneGslVm0wNDTk3xlTcHJypP8/g6lUriqbt6+nbLnSUocmaJA2+mgScryXL1/SqVMnOnfuzPz586Ofd3VVnm83cuRITExM8PHxwfLn1IhixYqRM2dOvL29mTJlSqJij4/k8RVRUPLlyxcCAwO5dPEKK5ev5uKFy9p5I4VK0wKPurUxMDBgzap1au9raGiIZ706SiuR/lrqQdd07d6JbTs3EhISSoe2XUQBUj2TXOb5LF26lO/fvzNo0KA/bhMeHo6Pjw/169ePTjwA9vb2uLq6sn379gS8s/pE8kmGwsLCSZUqFd++faNrp15UKleV8WMmSR1WgmTKlJEqVV05cvhYgqt6T5wyFu8Zk5k2fRJz5uturbTqNd3o3rMLTx77c1DHb6kKydPJkyextrbm3r17FC5cGENDQ9KnT0+XLl2iy109evSIoKAgnJ2dY+zv7OyMn5+fUsUPbRHJJxlKl86G63cusnbjKjZtW0uRooWYMG4Kx48mriKCVHLmdiI8PJy3b94laH+ZTEb3nl3o0asrxioreOqaDp3bYmBgwJxZ8+PeWNAZMhnIf0401VT7ddvNz8+PO3fuKLV372L/XXr58iU/fvygYcOGNG7cmMOHDzNgwABWr15NrVq1UCgUfPz4EQBra+sY+1tbW6NQKAgICNDaz+oX0eeTTGXNmoWsWbMA4OiYg2KFytDQqzlvPj7FwMBA4ujU86vczpnTZ8mew0HaYCSWNWsWGjTyYuP6zVy+dFVn6/sJScfT0zPGc6NGjWL06NExno+MjCQ4OJhRo0YxePBgAFxcXDA2NqZPnz4cOXKEVKlSAfy1+kZSVOYQVz46IF/+vJQqXZJv377pZIXkjl3aY2lpScd23ejQtguXLl7547wXqVdDTQoDBv0DwNzZCySORNAUbfb57Nixg9u3byu1bt26xRqHjY0NANWrV1d6vmbNmkDU8Opf2/y6Avrdp0+fkMlkWFlZqf0zUJdIPjoiV+6o4pNVKtVMcAJSnVQqk8mUmrbY2WXg/OWT5Mqdk7X/baBi2SqULl6RE8dO8vCBHyeOnWTc6IlULFuVNKnS06h+c51Z9TUh8hfIR5mypdm0YQvXr90QFRD0gBzN3nKTy/4/z8fJyYn8+fMrtfTpY69ZGFs/DhD9f0wul+Po6IiZmRm3bt2Ksd2tW7dwcnLC1NRUQz+ZPxPJR0dMnzWVSi4VuHzpCpcvXZU6HLVlz+HA5etn2bpjA0WLF+Gu7z1quNXBOV9xarjVYeL4qdy7ex9zc3N279xD/txF2bxpm96OCmvbviUKhYIyJSqRI1te+vQawP17D6QOS9Bx9evXB2Dfvn1Kz+/duxeA0qVLR9WU9PBg27ZtBAYGRm/z7Nkzjh07hpeXV5LEKvp8dIS5uTk26aIul3M4Zpc4moQxMjKilnsNatauzu1bd9i35wDfvn0nrXVaypYrTdFihXnk95giBUvx5vUbWjVrR44c2SlWvIjUoWtci1bNsExjyYnjpzh88CiL5i9h0fwl1HavQZ9+vShXvoyoiK1DtLEEQkKOV61aNTw8PBg7diyRkZGULl2ay5cvM2bMGNzd3SlfvjwAY8aMoUSJEri7uzN48GCCg4MZOXIk6dKlo1+/fpo9kT8QyUdHfPz4iT2791GufBlsbdNJHU6iyGQyCjoXoKBzgRiv5c6TiwmTxzJs8EiAOOvb6SqZTEZdTw/qenqgUCg4d/YCM6fPwWfXXvb47CdrtizU9qiJh0dtKlQqp9YkXSFl27hxI2PGjGHx4sWMGTOGTJky8c8//zBq1KjobfLkycPx48cZNGgQDRo0wNDQkMqVK+Pt7Y2trW2SxKkXySc8PJwb12+RO09OzM3NpQ5HK7Zt2UFISAjtO7aJ9z6qxUITs0BcUpHJZPzTrycz/53N+/cfKFO2lNQhaZ1MJqNsudKULVeaB/cfsnTxCnbv2sPCeUtYOG8JadJYUrVaFbJkycyjR4/p2q0Tlau6SB228DttLHudwOOZmZkxefJkJk+e/NftihUrxuHD0s030/k+n0sXr5A/dxHKl3alVLEK3FWjhpgu2bZlByYmJrjXqSV1KFonk8koUDA/crk8SSa7JSe5cudk6r8T8X1wnUvXzjBqzDBy5c7Fti07mDVjLj679nJg/yGpwxSERNP55NOxXVdevXxNsxaNefzoiV5O3nv37j0nT5zGrXoVLCwspA5H654/f8HJE6epXMVFI4u86aJfCXjwsAGcPHuYJy/uR8/PaNAoaTqEhfiTa6npM0nP75HfY969e5/gUvPPn7/g/r0HNG/ZhFlz/yVDhvRcvnRFw1FKb/GCpURGRtKwcX2pQ0kSK5etJiIigm49OksdSrKRIUN6LCzMyWafVS8HYOg61WkLmmr6TLLkc+vmbQrkKYp9ppxkyZCDFy9eqn2MSxejEk35CmUxNzfHIbsDt27eYeeO3ZoOVzKfPgUwZ9YCnHI6Us+rDgqF4s9NdR6PmovLJRe/CqlWq1FV4kiSl4aN6/Ps6XMG9BtCeHi41OEIQqJIlnx+HxhgY2OdoJpdz54+A8DePmq55P6D+gCwfeuuxAeYTPw7dSZfv35l6PCBGBrqxfiQOP06z69fA+PYMmUZM34EpcuUYv6cRdSu7snbtwmrlSdoXnKpaq1LJEs+2XM48ODJbQ4d28uz136kT6/+8L68efMAcPu2LwC13WviXKgAhw8e0YvJiR8/fmL+3EXkL5CPRk0aSB1OknHMmQOA5UtX6WQ5IW1JlSoVB47spkv3jpw8cRqPmvX04v+5kDJJ2ueTNWsWylcom+CVJ0uWLoGZmRkrl68mMjISmUxGunTp+Pz5i17MDzl86CjBwcHcue1LmeIVWb1yrdQhJYmBg/vhlNOR4UNGMWbkBKnDSVaMjY2ZMWsa7Tq05tbNOzy4/1DqkAREn09C6PSAirRprahe042bN25z6eIVfvz4wfFjJ3GrVkUvRkl51KlFtepR/R63bt2hV/e+fP369c//WXW0j0dV+vS2nDp3hAwZ0uM9dQbr1myQOqRkp2q1ygCMGzOJG9dvShyNIKhPp5PPsSMn2LXDhwIF8+FcKGq2fGRkJKGhoXpRrDFVqlRs372J2/euMmBQX0JDQ9m1w0fqsJKElZUVx04dJEvWzLRv04UpE3Vn6eykUKeuO045Hdm2ZQflSrly7uwFqUNK8UR/j3p0Nvn4PXxE6xbtSZ06Nes2rsbMzIxUqVJRv2E9jh45ztkz56UOUSPkcjk5HLNz8EDUxELLNJZx7KE/sudwYN/BqMEjo0eO59279xJHlHwYGBhw6Nhexk8aQ0REBDu3688IT10UlTA0/Ue/6WTyefHiJbWq1+Xjx08sX72InLmcol9r1bo5AHd+DkLQB/v2HODG9Vu0adeSup4eUoeTpIxNokZBVqnqmqBBKfrMzi4Dffr2wMzMjJs3YpbHF4TkTOeSz/v3H3CvUY/nz16waOlc3D2Uy828efMGAHPz1FKEp3EBAZ/p06s/qVKlYsTooVKHk+Q2rNsMQDs1atqlJAYGBpQtV5pjR08wbcoMqcNJsWQy7TR9plPJ59zZC9So6sH9ew+YNn0SLVo1U3r98+fPjBoxHiBJVuJLCuPGTOT5sxdM8Z5ApkwZpQ4nyd27G1Wrr6qbq8SRJF/LVy+moHN+Rg4bIwZnCDpDZ5KPQqGgSYMWPHzgR68+3cmXLy/fvn1T2mburAW8ef2GGjWrUb2mm0SRatbD+34AlCtfRuJIpBEeHjXPJyQk9mW3hajRgXsP7iJtWivGj50sqh9IQI5MK02f6UzyefnyFe/evScsLIwF8xZTu4Yn9plysWXz9uhtzpw+B8CaDSswMDCQKlSNCA0NpVvnXhw+dBSAC+cvShyRNH5d8axctlriSJK3dOls6NGrK08e+zNk4Ai9GO0p6DedST5WVmmiJ12VKVuKMeNGYJnGktbN20cvP/xrsqquf/NTKBS0b9OFFb994E6dPJ0L5y9JGJU03OvUBmDCuCliNn8cevftQdlyZZg7ewErlq3W+QQUqYhUamGRYX9t4ZHS/d6LPh/16UzyMTc359qtC6zfvJoDR3wYOKQfCxfPITIyku5dejN75jyOHjkOQGhomLTBJtJ079ls2bSNvPnyRD/35LE/lStWp0+vAbx8+UrC6JLWr/p9iamEkVKkTp2aLTvWky6dDd279CZXjoIcOXRM6rBSCG0MtNbv7KNTv8258+TCs16d6McVKpXDzi4DZ06fY1D/YdHPP/J7LEV4GnH08HFGDR8LoLQwnl1GOyIjI1k0fwnr126SKrwkd/vWHQDqN6wncSS6IW1aK/Yd2kXXHp34FhhIfc8mHD18XOqwBCEGnS6TnCpVKs5fOcWi+UswNTXFKq0VL56/pHiJolKHliAXzl+iUf3mmJunxjGnI1cvX4t+7c3rN9F/96yXcub6VHKtiImJCb179GOvzz68Z0zG3sFe6rCShfDw8FgrnRcomJ/pM6fSslUzalWrS0OvZhw+vpciRQsn6H0+fQogNDQUO7sMiYxYf8nQ/G0y/b7u0bErn9hkyJCekWOGMXBIPzp1ac/YCSN1cumBq1eu41HTC4VCwfbdm2n0c+G43ydWGhsbs3n7OpxyOkoVZpLLkiUz6zauwsDAAJ/d+9i8aXvcO6UAw4eMxs7G/q913YoULcyWHRsICQmhbEkXCuUvwb49B9TqC3rx4iW5cxQkR9Y8TJowLcaaUb//UVe4IkKpqfbxqNYuNJQbxmyy/zcDmW4PMkppdD756IO7vvdo3qQ1QUFB7PTZjHOhArhWrkSu3DkJCgrG0SkHORyz4/fUN8ak2pSglnsNbt2LWjjQ76GfxNEkD1u3bOf79++ULl7xrwMxypUvw/Zdm2jVpjlPHvvjVbcxLuWr8elTAG/evKXfP4MoXbwCBfMWw3vqTIKDg5X2P3vmPN++fUOhUDB5wjSxxMUfaL7HR/8L7IjkI7EXL17i5lqL589eMGP2NIqVKErp4hUpVawCD+4/JDAwkEd+jylQMD+2tumkDlcy9+9GjWjMkiWzxJEkD4uXzov++/Nnz/+6rVv1KixaOo8DR3wwMzPj4oVLZLVzxM21FvPnLOL9+498C/zGiKGjca1QjWe/He/rl68AZLPPSmhoKA8fiOQfGzHaTX0i+UjMe+pMPn78RIdObTl39jxFnUvj9/BRjO1+1axLqR4/fgJA4aKFJI4keahQqTyPn9/jzIXj8e4DK1O2FIOH9geiqr8/eezPvzOn4Od/h/uPb/FPv15cv3aT3DkK8ulTAF++fGH+3EUAPHsalZCKFizNgL5DmDB2Cv+tWse9u/fFEHghQXSvcyQWQUFBTJ82C3uHbDRo5IWpqanUIcXb2dNnAVi0YCkQNVx20JD+LFm0jE+fAkiTxpKRY4ZRs3Z1KcOUnF3GqM7uN6/fShxJ8pExox0ZM9qptc+AwX2pV78uxsZGWKZJQ9q0VkBUf+L379+jt/v+/Tu1q3vGeqUzb/ZCpcdp01pRslQJPL08aN6yKd++fScoKAjr9GmVFkRTvY1kbGCs9DhcoXxLz0ChvH1si6spZL/1NUl4paCN22T6fttNL5KPz+59jB87GYCO7bpx5sJxihYrLG1Qf/Hq1WvWrdlImjSWWFhELZGQPr0t+w7tIneeXBgYGBAaGsqMf2fz5ctXuvXoLHHE0jtzKqp6RWo9KRgrFZlMplQF/ncedWqzeOEyTE1N6dCmi9Jk7X/69cKtWhWyZM2MWSozAj4F8OCBHxfPX+LC+UscO3qCA/sP0bVTr+h98ubLTdMWjSlTvhRv3rzDo04tvV+dU4g/vUg+1WtUxdOrDju2Ra39Uq6UC35PfcmcORMfPnxkwdxFnDt7gSJFCzNg8D+SFR2NjIxk4fwljB4xnsDAQAAqV3Fh1JhhNGvZhGzZskZvm80+6u+eXnViPVZK82uJjNruNSSORH9VrVaZtRtXMW/2Qk6eOE2RooXIZp+VwK+BTJwyVmnbLFkyU9C5APUbeALw5csXZs+Yx8TxU6O3ef36LSOH/n+/3Qe2UdGlfJKcS1KTofk+DH1P03rR52Npacn6TatZuWZp9HO/ZsNPmzydieOncuzoCaZ7z6KocxkO7j/MXd97HDpwhHGjJzKo/zCWLl7Bju27uOt7TytlST5//kzLZu3o12cQaa2t+G/9CjJnyYyv7z0GDe2vlHhuXL9J/38G4+iUg7kLZmo8Fl1UukxJAGpV8+TKb/OfBM3yql+XIyf2MXhof65dvcGzp89jVI+PTZo0aRgxeij3H99i644NdO7agQLO+ZS2ef7shbbCFnSQXlz5/NKocX0UCgU5czpF3wvv3LUDc2cvIDIykqLFi3D18jXqujf463E8vepQr35d7tzyJa21FYULO5MpcybsHbJhYmKidlx3bvvSomlb7t29T916HixbuZDUqVOzavl/HD1ynNDQUKXjDh4wnIiICFavXY6NjbXa76ePBg8bwKeAAObPWUT50q7Mnjedjp3bSR2W3hoxeihPnjzlx48fjBg9JN77hQSHUN+zSfTjHI7ZyZ7dgarVKtOqVfO/FvyNq4pzpCLmwAa57P/fn6XsI/k1F0nTx9RnepV8ZDIZTZo2VHouh2N2rt++iHO+4mTOnIlRo4fx8KEfH95/wNrGmjJlS2NtnZaHD/z4+PEj071ns2PbruhbeL8rWrwIEyeNIbW5Ofny5yFVqlTRrykUCt6+fcfXL1+j76mfOX2O1SvXsH7tJiIiIpg4ZRx9+vZAJpPx4cNHTp08Q4WK5WIktGfPnpM7Ty6lfquli1cwfMgo/p05heYtm2rwp6YbDAwM+HfGFBwdc9CvzyC2bt4uko8WyeVyVv63RO39Duw/FP33fQd34lK5kibDSra0UYlNv1OPniWfP8mZy4ly5cuw12c/Q4cPpFqNqjG2yeGYHYB69ety+NBRvn//QYEC+fjw/gO3b/uyeOEyrl6+Rg23qD4YY2NjihQtTM5cjjz1f8bVK9ejRws5FypAeHgEvnfuAlCqdEm8Z0xWKvuzZOEyQkJCaNuhdYxYMmXKyIXzl3jy2J/sORwAePniJV++fKVD266ULVcm+vmUpluPzgweMJybN24RHBysUyMbU4LqNdwY0DfqSunpz6KwghCbFJF8AAYN6U+d2vU5cfwUhYv8ea6ImZkZHj/L+P/iUrkS3Xt24eyZ81y7ep1vgd+i/37h/EXMzc0pXqIouXLnRKFQsHH9FuRyGT16daVt+1bky583xvv86pP69PFTjNf6D/yHenUa4VW3MWcvHsfMzIxmLZoweaI3AG1bdcKtWmUeP37CiFFDcMjukIifjO5xyunIXd97+D18RIGC+aUOR/hNzlxOFClaiGtXb1CiZPE/1p/TN1GTQjV9202jh0t29P9/xU+FixYiVapULF28gtruNUmVOpVay1LLZDLKlS8TY0XRgIDPWFiYK/2Cec+YjEwmw9jYWPUw0Tp368DKFf8xeMBwLCzMadKsUfQxqtd0Y9CQfkye6M2hg0eoU9edrNmyYGeXgTdv3nLh/MXoxeXWrdlI524dGTSkn9pzPnTVyDFDadqwFb2692Pnns1YWFhIHZLwm8JFopJPsUJRvys7fbbEerdBtQ/n9/4bIMbAn8hY6sfpxYipFCrF/NvZ2qZjzPgR+D18RMG8xXDMlpcyJSpy7uyFRB03bVqrGN/sTExM/pp4AKysrFi3cRWmpqZ0bNeNRl7Nlepqef0cwjps8CiWL11FgTzFePMmaoJlg0ZebN6+jlFjhpErd04WzV+Cc97iXLp4JVHnois869WhT9+enDt7nkrl3Fi5fLXOLyCoTzp0Uu6LS5U61R+21B8yLTV9lmKSD0CPXl3p07cnDtnt8Wrgyf17D2nSoAXfvn1jzqz5dGzXleNHTyRZPEWKFuau3w2atWjMvr0HKOpcmt49+nH08HEKOhdg7PiR+D18RPcuvXn54iUQNf9n9dpluHvUYvCwAVy5cY5WbZrz7ds3tm5OORWfJ04ZS8fO7bjre4+unXoxaMCwuHcSksT4MZOi/75mw0rKVygrYTRCcpWikg/ApKnjuPvwBms3rGTkmKG8e/eeos6lGdhvKGtWr6d2jXqcOHYyyeKxtk7LkuULGDdxNIFfA1m8cBm1a3hSz6MRxYoX5fjpQ4wZNyJ6+2dPn5MlQw7On4u67fbly1f27TmAgYEB1Wu4JVncUpPJZMyeN509+3eQPYcD8+csYvKEaTq/dLQ+2Lf3QPTfHz96ImEkSUhl+QdNNH3v9Elxyed3jZo0IHOWzNGT37r17ExkZCTzfhZTTCpyuZz+A/vw7LUfN30v4+lVh4MHDlO7hieXLl6mT7+eSn1Nnz4FULlidVwrVKdcKRfev//AgsWzca2SMoa1/q5yVRd2+mzByioNY0ZN4J9eA2IsCyAkHZ/de6P/bmBgQMVKf69oEBwczK2bd3T+S4O47aa+FJ18MmXKiO+Da2zcuoa69TyYPycq6ezeuYeLFy4n+S/Er7pb6zet5vb9q+TJm5vBA4Zz7ep1Bg2JqkZsaGjIqrXLqOpWGb+Hfrx4/pJuPTvHOgtdoVAotdDIMKWmL3LmcuLk2SOYmZmxaMFS0prbkcnWgfZtOnPh/CVRdTmJBIeF0LVTL8wtzKO/vR85cpRvQd8IiwyL0V69eU2Thi0pXawCVSrV4PmL54RHhv+/KZSbocwgRhN0V4pOPhA1X6dOXXdmzvFWer5Suap41WnMhw8fJYnLIbs9k6eNJyIiApfy1ahTuz5GRkbs9NlCo8b12bV3K8/fPCIw+AP/zpii97Oh45IzlxMP/e8waeo4PL3qkMMxB+vWbMSlvBuF8pfg+rUbUoeo9378+MGH9x+oW8+D42cP4ZTTkXGjJpHV1gk7K3tKFa7A9Ws3eP7sBf/0GEC+HIU5tP8IABfOXaJimaoc2HeISeOmsnTRcl6/ehPHO/5feHg4K5at1tapxUksJqe+FDPUOi52dhm4fe8q3Tr3wtrGGmNjYzZt2ELt6nU5d+lk9LycpFS1WmXsHbLx1D9qst5/65dTuaqL0jYpPen8zsbGmj59e0Y/Pn/uIju27WLenIVUKFOFatWrULpMKdp1bCPKFmmBqakphoaGPHv6nKLFi3DywmGWLlzBoYNHCQkO5tKFK1Qs9f8h1yVLl6B1+xZ4NfRk76799OjchwZ1/1+945+eAylZugTdenaiXoO6f3zf0NBQWjZrx64dPlo9P0GzZAo17i3duXOHAgUKcOXGuVgnTuqbf3oPYOG8JWzftYkataol6Xsrfs5p+PLlC7Omz6NJ04bkzpNLvWOo/NOGKZSHIxvLjRIXpI64dvU6fXsP4vKlK4SHh2NtnZbBwwbQuWuHOIfEC/EXroigbYuObNm4jfNXT5GvQB6l129ev8UM7zlERkTQql0LXKu6KH15unXtFv9OnYWjUw4KOudn5w4fDuw9yPfvPyhcxJmqblW463uX4OAQBgz6h8EDh5M2bVq+ffvOpYuXqV7TjQP7DnH79m3y50+ayce/PhNXHV9B9tzZNXrsJ/ef0NqlbZKeT1ISyecvnj9/gXPe4lilteLsxeNJOokzrgl4CREUodwRb2aQskrTBAcHs33bLkYMHcPLFy8pV74MW3duIE2aNFKHpjcuXbxCxbJVaN22BQuXzE308d6//8CEsZNZt2Zj9DIkvzMzMyMoKIhGTRrQf9A/lCxSTiQfHZHi+3z+JmvWLCxYMoc3r9/Qu0c/Pn/+LHVIQiKYmprStFkjbt29TNv2rThz+hxTJ02XOiy9UqJkMUqXKcX6tZv48uVLoo9na5uOmXO8ef7Gj3OXTnD4+D6MjKKu2BcumcP7zy949d6fVWuWYiDBrfFfRJ+P+kTyiUPjJg2o6laZ3Tv3kMk2Ow29mnFw/2EiIiLi3llIlszMzJg2fRJ2Ge2Y8e9stm7ZIXVIeqVJs4aEhoZy9MhxjR3TxMSEwkUKUa58GV68fcSnwNe0btsSAwOD6KXApfZrao6mmr4TyScOMpmMuQtm0KNXV9yqVWHP7n3UdW9AbkdnRo8Yz53bvjo/RyElSp06NcdO7sfS0oKJ46ZIHY5eKVO2FAB3bvlq5fiWlpaYmZlp5dhC0hHJJx7sHeyZNn0SO/dswffBNYYMGwDAlEneFC9cFjfXWoSEhGj0PeUyuVILiQiJ0dRlZmCq1BJ7vIRQqPyRkkN2B2p71MT3zl0CAj5LGos++bXOVWio/swli4u47aY+kXzU5JDdgZFjhnH/0U32HdxJvfp1OXP6HJ7uDRNdpFRIeo6OOQB46v9UY8c8sO8QbVt1okfXPvg9fKSx4+oKI+OoPpmAgACJIxEAli5dikwmw9zcPMZrV69epWrVqpibm2NlZYWXlxePHz9OkrhE8kkgAwMDXCpXYsXqxRQtVpjjx05SuWJ1Orbryo8fP6QOT4inX53X6kxojEvnDt3ZsG4Ty5aspFb1uinutqy1ddro5Uvate4kdThJQtP9PZrq93n58iX9+/cnU6ZMMV67d+8eLi4uhIaGsmnTJpYvX86DBw+oUKEC79+/T/ybx0Ekn0QyMTHhxJnDXLhyimrVq7Jm9Xrca3hpZKSPoH1163kgl8uZNmWGxsrw1KhVjfTpbQFInz59ipsIfPb0edLZ2lCkaGHWr93E+/cfpA5J65LrbbcuXbpQsWJF3NxiFh0eOXIkJiYm+Pj4UKtWLby8vNizZw/v37/H29s7lqNplkg+GmBoaIhzoYJs372JXn26c+7seWZNT/wch9+ZGJjEaKq1suISrohQaqrHi0t8+muSU59OfOTKnRP3OrU4d/Y8Dx/4aeSYC5fM5cLV09y5f41jpw7EvYOe8fRoyLOnz8mTNzcA/k+eMmLoGAb2G6rxvlHhz9asWcOJEyeYP39+jNfCw8Px8fGhfv36WFpaRj9vb2+Pq6sr27drf3kWkXw0SC6XM3HKWOzsMrB507YUd7tFVxUvUQyAI4ePaezfzM4uAzkcs0ff1kuJcjhGTbqsVrk23lNnMGfWfHLnKMjHWJaO13XJ7bbbu3fv6NOnD5MnTyZLliwxXn/06BFBQUE4OzvHeM3Z2Rk/Pz+tV4cXyUfDDAwM8KxfB7+Hj7h3977U4Qjx0L5jG+wy2tGvzyC8p86UOhydFhoaGv33evXr4uJakfQZbBk6fCAAb9++41sslQqEP/Pz8+POnTtK7d27d3/dp1u3buTOnZuuXbvG+vrHj1EFk62tY9Y4tLa2RqFQaH3AiEg+WlCmbGkArl+/KXEkQnxYW6flxJlD2NqmY/KEaWzcsEXqkHSWgcH/lzn48vkL+w7t4v6jW4wYPZQp3hMAGNBvqN4tex61/o52enw8PT0pUKCAUovtVtovW7duZffu3SxZsiTO/sa/va7tvkpR1VoLcufOCcAjLQ+zNZQr//Op3jJS/c+juv5JYuvHhStiVnmIa40V1U5U1WNIsUbLt7DvWGe0ZsqsibRr1ok2LTqQO3dOChcplOSx6Lrfk0+VSjXo07cnrlVcyJHDgabNG3P50lU2b9xK04YtWfHfkliH/wrKduzYgZOTk9Jztra2sW777ds3unfvTs+ePcmUKVN0SbBfV6SfP3/GyMgIGxsb4P9XQL/79OkTMpkMKysrzZ1ELMSVjxb8mlxn9nOynaAbPOrVZtPudQDMnjlP9Nkl0Ox5/6+XN3P6HOrWrk/BvMXIltGJzRu3AuCzex9r/9sgVYgaJyPqw1ST7dfXNCcnJ/Lnz6/U0qdPH2scHz584O3bt/z777+kTZs2uq1fv57v37+TNm1amjdvjqOjI2ZmZty6dSvGMW7duoWTkxOmptotPCySjxZ8C/wGgKWlhcSRCOoqV7EMefPlYf3aTWzftivG669evda7W0aa1qFTWzZs+Q+PurX/ul3deh5JFJH2/Vq5VdNNXXZ2dhw7dixGq169Oqamphw7dozx48djaGiIh4cH27ZtU6oW/uzZM44dO4aXl5cmfzyxEslHC35d4hobp9yRTrrK2NiYPQd2YGJiQr8+g3j9+v+TT/fs3kdOh/xUKu/GI7+kmQWui2QyGXU9Pdi0dS1vPz3jxp1LBIV/5vUHfzZs+S96OZY6tbzwvXNX4mj1i6mpKS4uLjGanZ1d1MR4FxcKFCgAwJgxY/jx4wfu7u7s27eP7du3U7t2bdKlS0e/fv20HqtIPlrw63bN9q27eP78hdbeJ0b3ZFSvZ3SLa86Nut+yYusQVW1xUSgUSk3T9eVUz1l1blO4IoIf4UFKzdwotVLLmNGO/AXy8ub1G169fA1EzYvo0LYLkZGRXLtyHbfKtXn3TvuzwHWdpaUluX72gVpZWVHX04OzF48zdPhA7vrep1a1uhotbSSd2H4bNNG0J0+ePBw/fhwjIyMaNGhAmzZtcHJy4uTJk3/sU9IkkXy0oEy5UqRLZ8OB/YfI61SIxg1aiJI7OuT16zdcu3oDgCJFowYdGBoakilzJlKnTk3XHp14/eo1E8dPlTJMnWViYsKI0UNZvW4Z7969p657Q72c+5OcrFy5km/fvsV4vlixYhw+fJjv37/z5csXtm/fjqOjY5LEJJKPFqRJk4aNW9cydPhAFAoFu3b4sHXzdg4fPEpYWMqp9KurjI2NyWCXAYDuXXpHr93kPX0y379/58G9hwCkEmX9E6WeV12m/juR+/ceUKd2fb5+/Sp1SAmme9c90hPJR0vKlivNiNFDadKsIQCd2nfHo5YXOR3yM3rE+Fi/hQjJg42NNddunada9aqsXP4fbVp25NiRExQtXhgzMzMOHzqKlVUa2nVoLXWoOq9Hr64MHT6Qq5evUbliDXbu2K2xGntC8ibm+WhZs+ZN8Nm1j3z581LVzZW1azYwZZI3G9Zvokevrlw4f4knj/15+eIlDtkdaNSkPo6OOahQqZzaC2Yl9fofBrHMyYlr7lBwhHLJjtSGmh2OrvozkMfyMzExMFZ6HKEy18hAZoCVlRWbt6+jehUPtmzaxpZN26jlWYO1u1fx3v8d5cqXxdEph0ZjT6mGjxqCTCbDe+pMmjRoSUHn/NR2r0nJUiUo4JyfLFkyJ/virAkdnRbXMfWZTKHGZIY7d+5QoEABrtw4Fz1iRYhbWFgYhoaGyGQyIiMjWbRgKcOHjI7uB7Kzy0CWrFm4c9uXoKAgANKnt6V7zy5069lZaxPxVAchaCJ5xZV8gsKDlB6bGWr31pVqPBDzvFX9nlRDQ0PZccCHDSs3sm/nAYyMjDA2NqZm7ep41K2Ns3OB6AKaQuK8ffuO6dNmsWzJSr5//x79vK1tOiq5VqRU6RKULlOKIkULKU1mVSgU3Lp5m9u3fWnfujO3b98mf/78SRLzr8/EzafX4ZhHs19GHt17TMPyzZL0fJKSSD4SuX/vAc2btMHS0pKjJ/cDUbOPL5y7xO3bvixasITnz15gZ5eBf2dNxat+XY3HIJJP7FSv6N4GvSciIoI92/exbf0Orpy7qjQ3YuDgfrTr2Jp06WxInTq1ZgJPwcLCwrh18w5XLl/lzp27nDtzjps3bke/bmWVhkquFalTtzaeXnVo2bQte/f8v3q4SD66QSQfiUVGRiKXx+x6CwsLY+Xy/xg3eiIfPnxk0dK5tGzdXKPvLZJP7GJLPr9Lb5qO27fu4Ot7j1nT50SPjDM2NmbXni1Ucq2YyKgFVQEBn7l88QpnTp/j6JHjXLl8ValvyNjYGLfqVdize58kyWeLlpJPAz1OPmLAgcRiSzwQtcJmx87tOHXuCNnss9K5Qw92bI854z4xNL1wFcScO6S65pCZoZlS0zTVeUSx/YlQRCq1kIhQpRYQ8lmpxZjfJJNR0LkAjZs0YOeerXh61QGibtGtW7tR4+ckQNq0VrhVr8LoccM5efYwz988olmLxtGvh4aGsmf3PgkjFNQlkk8yZ+9gz4HDu7G1TUf71l14/OiJ1CEJv3n54iUH9x8Gor5I/FobSNAua+u0LFu5iOu3L3L6/FHatm8lcUTaqGmt3wMORPLRAfYO9ixbuYgfP34wd84CqcMRfoqMjKR1iw6Eh4dz4PBuPgW+puP/2rvvsKauN4Dj30CAgMhQceCqioqCOBD3HlVr1bqq1q1111FHq+LeW3Gg/hx17y0iLsS6Z92g4h51IqgVZeX3B5UagkAQEsb74TnPk+Se3PuGSt7ee895T48uhg4rQynqWATXsmXwXDyX42f8DB2O0IEknzSidt2auJR0Ztn/VrBt604A3r59i5/vEf66cJEXL15KFWY9O/bncW7euEXf/r2pVqMqZmYJL0UuUo7KkL9/BSmwlKnhPo4+yDyfNEKhULBsxWIaNWhGu9admDJ9Ar8PdtfokyNHdr6tX4d+A/rgXEL7BmVCN9q1NitiP03EX8Nn+wgODiFSGalRmj32zfyE9hl7rkPsz/A+9gAGY80y8HGtURQ7BlMjzQKwFom8F/VpscB69eskqr9Iv1LiIlk6zz1y5pOWOJdwwvfPfRQo+E1M4rGwsGD0WHe6/NyRbHbZWL1yHeVdq9KnZ3+ePPnbYLGOHzuZvDkLUcTeiRVLVhksjpQU/DoYgNDQlF3rXoj0SJJPGlOg4Df4HTvAb0MHMXnaeO489Geo+xAWLPLg3MUTHD/tR8VK5Vm+dCUlHF3ZuWO33mM8deI0kydMI1/+vNhlt2NIv2H4XwvQexwprX3HtpiZmdG7Z3+8dnsbOhxhUFLdTVeSfNIgO7tsjJ0wkgED+2Jtba2xrYxrKQ4c9mbL9vVkzmxJp3bdOHP6nF7j27//EAArVi9lxvypABzxParXGPShQMFv8FzswauXr2jZ9KeYUW9CiIRJ8kmHFAoFDRs1YOvOjSgUCjq1/zmmbI8+hASHAJA7jz3Z7KLXiv+8XEp68lO71hz024uFhQXdu/aO8/f89OkzAm/dNkB0Ql+Sf6B18s29S60k+aRjrmVLM3qcO3fv3GPyhOna/7DVaLSwqDCN9iHig0ZLDIVCQUhIdPKxtbWJuXmvDlNjaZJJ52WEY08QDfrwWqOpjM00mtZiclERWu1D5EeNpqsodZRGK+1akqEjhvDs2XMaNWiGt1d0uaSQkBBGjxiPS7GyuBQvS+8e/WREYjolg910J8knnevTtyelSrswe+Zcrl29rpdj3rwRiK2tDebm5jGzzh2Lp+/im916dKZhowacPHGaFk3b4H89AG8vH6ZNmcnbt2/Jnt2OP5atokaVb7l545ahwxXC4CT5pHNKpZL5Cz2IjIxk2G8jU/RYx4+dZNaMuVw4/xfValRl104v5s5ZQPbsdrRo2TRFj21oVlZWbNq2lh17NqNWq2nRtA2ZLKOLjLqUdOay/zm6duvEubPnqVqxNseOnjBwxCJ5yYADXUnyyQBcy5bmx9YtOLD/EKdOnkmRYyzyXEKdGg1wHzqKnLlyUq16Fdq26oRCoWDJ8oUolRljSlntOjXxmD+Thw8e0aldN/Lmy8PlS1e5euU68xfOwWvvdtRqNe1ad+L58xcJ71CIdCpjfCMIev/Sg43rNzPPw5NSpV1QqVRaEzjNjP+bIf7qVRAb1m1i394D/PPPez58CEWpNMG5RHHKuJambr3a5MuXN6b/hLGTAahcpSIFCxVg6JARKJVK+vTtib9/AC6lSpAzZw6db6LeeaNZy66QlWbl4IhYC8HF3ntcC959baXt2J8h9u+xe8+uFCjwDY0bNiciIjq+Des2UalyBWrWro7H/Bl06diDfn0GsmS5J5kzZ473eCL1S4kBAul9wIEknwyirFsZqteoyrYtOzh18gxDhw+mY+d2mJqaavUNDQ2lRpW6BN66jZmZGdbWVqjMVYS+D+XM6bMsX7oSY2NjWrVpgfvIoeT/Jh+vXgUB0Zfejh87SSGHgtwOvMPE8dFDrX0P+rFzzxa9fmZDqlSlAkDMomefj4Jr/dOPbNm0jZ3bd3P+3F80a96Eoe5DsLW1MUSoQhiEXHbLIIyMjNi+exNTZ0wkPCyMfn0GUqfGd4SHh2v1nTt7AYG3bjP4t195/PwO95/c4sbtKzz4O5DbD/xZt2klVapWYt2ajbiVrsw8D0+N91tbW2FiolmyZqj7kBT9fKnJ06fPyGadG4BGTb4jZ84cnDxxOma7QqFg8/b1zJ47nUcPHzF3zgImjp9iqHBFMpA7PrqT5JOBmJub029AH67fukjXbp04e+Ycs6Z7aPTZvm0nkyZMo2ChAowaO1xrZU57+1w0bdYEn4O72bt/J9nsssYMZGjZqvm/Q63fEOB/I+b/+p2ci+NWLuMsNTB21AQgek2m6TMnU7pMKe7fe6DRx8jIiJ69u/Ho2R3sc9uzYO4imjdpJfeB0qpkH2f9b0vH5LJbBmRpacnMOVM5fuwkkyZM48OHD3Tq0h6VuTk//dgRU1NT1m9apXX2EluNWtU5+9dx5s3x5MWLl5w6dSZmHotCoaBn726Ympoye+Zcxo2exNgJI7Xuj8TmH6xZhqeYjWO8/ZVx3NNJSHiU5tleZByrncYnvmKnarWadWuiF5S74n8OY2NjlCZKIiIiePLkb+ztc2m8N2vWLOzx2c5PrTrivWcfDvmLM3POVDp1aZ/g71+ItEzOfDIoMzMzlq9cTM5cOZgyaQaODiUp/E10JWznEsVxKVkiUfuxsrJi+Mjf2bVzD5f+uhzzulqtZsG8RZipzChdpiTTp87i135D0v0kS4VCgWOxIgB07tCDZ8+ekzuPPQCTJ0yL8z2OxYpy4fIp+vbvTUREBP36DKSUcznu338QZ3+ROkl1A91I8snASpcpxfWbF9m2cyMdOrWlUuUKLFuxiENHfHTaj0KhoEPHtnEOp54ycTrDR/xO9RpVWbxwKSv/WJ1c4ada6zetpmu3Tpw8cYrmTVozYtQwsmbNwh/LVvFLrwEEBwfH+b5pMycRcPsyjZo05M7tu8yeMVe/gQuhR5J8MjhjY2MaNKzH4qUL8Dm4m5/atdZYfyexxowfwet3Tzlxxo8Jk8dSrrxbzLbJk6azbtMq8uTNw6ABQ/G/nv4qXH+uYKECzF84h779e3P+3AXOnj7HoSM+lCvvxrIlK+jY9mde/7scQ2z58uVl4OD+AOTOk1uPUYuvIbXddCfJRyQbpVJJ6TKlGDSkP0eOH+DPE4f4tl4dmjZrQpYstvyx6n+8f/+edp27cPr5RU4/v8jZF5otSh2p0b7Wiw+vtFpoxAeNZmmSSaPpKlIdpdE+6dSlPQC9uvfl3t37HDqyl0ZNGrJ/30EqulXj6pVrccf8InrQQa5cOZLwiYVIGyT5iBTjVs6VnXu2MPi3AQBUqVoJK1sr3r99b9jA9KRYcUd6/dKd4OAQmjb+kT1ee1m/aRUe82fy5PHf1KpWn+vX/LXeZ2tjA0BQ0Gs9RyyE/kjyEXoVFaXbyLK0TKFQMGvONM5dPEHWrFno3T26qnX3nl3ZsXszoaGhNGvSSqvQaFhY9Gi8uCYAi9RJ12rtiW3pmSQfoVf2+ey5d/MeiycuJjLy6y+rpQWFHArS+5cevHjxEj/fPwGoVacGHvNncv/eA/r2/lWj/4MH0aPc8ufPp/dYhdAXmecj9MrHexetW7Rn/YL1/PP4LSvXLE3SAIfEimtot5Vp8tZSi73WkUqp/Xl+aNmEcWMm0b/vINZtXEn2HNlZu3oDADlz5dTo++5d9MJ7b9+9S9Y4RUpKiZoEcuYjRLLJlSsn+w7t5sfWLdi1w4s8OQqR375wuh+CXbiIAx4LZvLg/kMqulXHuWgZThw/Sb8BfVi2YpFG39p1amJiYkLHtl0pV6Yy06fMYsXyVfw+2J0bATcN9AmESF6SfITeqVQqlq9czNQZEynrVoYXL14y7LeRPHr02NChpagu3Ttx+Ph+vq1XB8diRdi0bS1TZ0zUmh9VrLgjp879ScfO7Xj86AmjRoyjV/d+zJ2zgNIlyvPgwUMDfQLxJVLbTXeSfIRBGBsb029AH3wO7mbQkAG8fh2MU5HSDOg3hJcvXxk6vBRTqkxJdnht5vhpPxo1bvjFfsWdirFoyXzuPrrBrj1bmThlHBB9GdH/WvqeJyUyBrnnIwxu3MRRVKlaifFjJ7PYcwm7d+5h5eolVKlWWed9PQvVLMyZw9wuucKM8TZc815MZhPLZD/GJ6amptStV5sq1Soxa/oc8uTNTb0GdVPseCJpZD0f3cmZjzA4hUJBvQZ1OXryEEuWexISHEK9Oo2Y5+GZ7mvBJdaqFWt59SqIH1u3NHQoIi5S1VpnknxEqqFQKGjX4SdOnPGjcBEHfhs0nF/7DeHjx4+GDs3gPo2Aq1K1koEjESJ5SPIRqU6RooU5fHR/TDHSapVqc+XyVUOHZVDhYWEAcRZvFYYnAw50J8lHpEq2tjZ4+WxnxKihXLvqT+XyNfl9sPsXK0J/YqQw0mgpIbOJpUZ7HRai0dRqtWaL9ZMUtllsAdi6eTth/yYiIdIyST4i1VIqlbiPGorfsQOUcHFi7pwFlHIqx7atOw0dmt792LoFRYoWZtYMD/LmdODhw0eGDknEIhWtdSPJR6R6Zd3KcPSkL4uWzCM8PJy2rTqydcsOQ4elV7a2Npw+fxSAN2/e4LXL28ARCU1y4U1XknxEmmBkZETHzu05df4oOXPmoFvnXvx14aKhw9IrlUrFuImjARg6ZAT79h4wcERCJJ0kH5Gm5M2bh41b1xIVFUX1ynUpXMCZ3NkL4PCNE8uXrjTIpYvwyHCNplWdONaP9l2ghO8Dfeo36Lf+bNi6BgsLc3r37J9hirOmdjLSWneSfESaU658WdZvWkX5Cm7kyJEdJ+fiBL8O5rdBwxk+YCRVXGpy9uQ5Q4eZIhQKBY2bNKRrt848efwkw48CFGmXJB+RJjVoWI8Dh705dsqX/b57WLZyER8/fmT10rXcv3OfxR5LNfqHh4enq7WEDvv6ARAghUZTidRzz8fX15cuXbrg6OhIpkyZyJ07N02aNOH8+fNafS9cuECdOnWwtLTExsaGZs2acefOnSQdV1eSfES60OSHRly4fIr/rfXE2NiYfV77mTxqKqGhoSxeuJQcWfJRIE9RZs+cx/v3aX8l1fv3otf8cXQsYuBIRGqzcOFC7t27R//+/fH29sbDw4Pnz59ToUIFfH19Y/oFBARQo0YNwsLC2LRpE8uXL+fmzZtUrVo1Zin3lCQz1kS6UbiIA4WLOOBS1JnePfrhOWsx65ZvIDg4hJw5c2CsVDL895HMn7uQ9ZtWUa582SQd52vrxyXlXtTnZYbUajWmZqYYGRmRr2A+ItSRKBXGOu9TJJ/UVNttwYIFZM+eXeO1+vXr4+DgwKRJk6hVqxYAo0aNwszMDC8vL6ysrABwdXWlcOHCzJgxg6lTp37dB0iAnPmIdKdkKReOHD/IlOkTUJmbU668GwcOe3M14DzTZ03mddBr6tX+nqNHjhk61CRRKBT0HdCHqKgo1q3aYOhwBMk/x+drklnsxANgaWlJ8eLFefgwejmOiIgIvLy8aN68eUziAcifPz81a9Zk+/btSftF6ECSj0iXlEol/X/9hbsPAzhy/AAOhQuhUqn4pV8v9h3ywsTEhNYt23M7UD/Xt5Nby9bNADh3Rvs6vhCxhYSEcOHCBZycnAC4ffs2oaGhuLi4aPV1cXEhMDCQDx8+aG1LTpJ8RIbjVs6VVWuXERwcQvMfWqfJcjVW1laYmJiwf98h/n7yt6HDESk43iAwMJBr165ptOfPn+sUXp8+ffjnn39wd3cH4NWr6DWzsmTJotU3S5YsqNVqXr9+rdMxdCXJR2RI9b/7lmHuQ7gRcJMN6zYZOhydWVhYMG7SaF4HvWbVH2sNHY5IQT/88APOzs4azdPTM9HvHzlyJGvXrmX27Nm4urpqbFPEM5kovm3JQQYciAyr74DezPNYyOQpM6jatArGxnHftFcaaf6Z2Fvk0kd4GmJ/ERirFTRr1phhQ0bw8H50nbfg4GB6duvLm5A3rNmwgiz/FiMVKS8lBxzs2LEDBwcHjW12dokb5DJ27FgmTJjAxIkT+eWXX2Jez5o1K/DfGdDngoKCUCgU2NjYJDHyxJEzH5FhWVtb07VbJ+4F3uPSuSuGDkdnefLmoYSLM5s2bOH6NX9OHDvFzu27Oex7hKN/ps3BFEKbg4MDTk5OGi2uQQWxjR07ljFjxjBmzBiGDx+usa1QoUKYm5tz5Yr2v/srV67g4OCASqVKts8QF0k+IkNr/MP3AJw4fNLAkehOoVAwaeo4QkNDqehWnbVr/hv5ZpXZKp53iuQWfYsmNYx1izZ+/HjGjBnDiBEjGD16tNZ2pVJJo0aN2LZtG2/fvo15/cGDBxw+fJhmzZp9xdETR5KPyNBKuESP/rkbeNfAkSRN7To1Geo+hLCwMEqVdmHOvBls3LqGGrWqafU9cfwUXru9UavVeMyeT4+f+3D3zj39B51eGb64AQAzZ85k1KhR1K9fn4YNG3Lq1CmN9snYsWN5//4933//PXv37mX79u00bNiQbNmyMWjQoKQHkEhyz0dkaJkyZaJwEQcO7fHj17aDsbK2ZvBvA3ByLp5ix/x8wmgMReynmi9Eqb9cGsjaOvosRx2lpkevn7W2B/jfYNcOL0aPHA9Aliy2BAVFj2Rq1KQhBQp+o0P0IrXbvXs3AD4+Pvj4+Ght//Tvz9HRET8/P37//XdatGiBUqmkVq1azJgxI9H3lL6GJB+R4f1vmScN6jbmwH5fwsPD2bJpG3t8tlOtRlVDh5agWzcDGTNyAiqVijbtWmltf/PmDWVLVdKofv0p8ZQr70bD7xvoLdb0LSWqqCdtf35+fonu6+rqysGDB5N0nK8ll91EhlehYjkePg0k6O3f+B07gJmZGZ06dE8Tl6SuXrnOx48f6fxzB/LmzaO13cLCIubG8ePndwmNCGbC5LEAjJ84KsWH0wrxJZJ8hCC6/IhSqaR8BTc8/zeXZ0+fUataPZ4/T/kCi1+jctWKAHwIjXs2ulKpJEtWW5xLFCc0NJRyZSozYlj0DeiR7uP0Fmd6l5rK66QVknyEiOXHVs3xXOzB06fPmDt7QYL9o9RR8Ta1Wq3RtBabi2PBudiMFcYa7ZMli5YD/83biM1rtzcPHzxCqVSyd88+rly+FrPtzOmzcd9/EjpLPQsqpB2SfISIQ/uObSnuVIzFC5cSEhJi6HDidP/eAyaPn4aJiQkDh/TX2v727Vt6dO2Dra0Nbdq2wn3oaKytrVi8dD4AefPlkctuwmAk+QgRByMjI3r27sa7d+/Yv++QocOJU+489tjYWOPkXBxbWxut7fPmeBIU9JqBQwawYvlqQkND2bhlDR06tePpq/v8eSJ1fq40SdbR1pkkHyG+4Lvv6wPg7aU9XDU1UCqVNGhYj4t/XeL4Me1Jsju278LU1JRdO7zwvx7A6HEjqF4zev6PtbU1OXPm0HfIQsSQ5CPEF+TObU+p0i7s9zmgUfk69j0cI4VRvC32/Z3EUMf+iXXMT/d+hrn/hkKhYJHnEo33//PPP9y8EUhYWBhnz5yjTt1aDBzcL1l/P+I/MuBAd5J8hIhHy1YtCAp6zTyPhYYOJU6589ijUCi4dPGyxuvnz17g48ePZMqUCYAevX+W+zsiVZHkI0Q8ev/SnUIOBZk0firv3r0zdDhajIyMsLS0xMhI80952dKVQPQZEBDnHCCRfGS0m+4k+QgRD5VKRddunXn//j0Xzv1l6HC0qFQqnJyLcyPgJuVdq/D+/XsAjh09EdNnwMC+lCylvWKlSEYy4EBnknyESICbWxkA9nrv19sxteYKxfMzcswwAC5fukqv7n3ZtnUnmTNbxuyrdp2aeotbiMSS5CNEAspXLEcJFyfmeXhyPhWe/XxewdpcZU7bVh25EXCTylUqolQqyWWf04DRZQypbUmFtECSjxAJMDExYekfi4iMjGTJ4mWGDidOnbt2AKCQQ8GY12bOmUbg/espWqFbiKSS5CNEIriULIGVlRX37t43dChx6tu/Nzlz5WTUiHHkzZcHU1NTMmWyIEeOhFe8FMlDBhvoRpKPEImUL38ejh09wbVr11P8WyIsMkyjxZ47FFux4o4cP30Y17JlePjgEWFhYXjt9iYq6svrAAlhSJJ8hEgkUzMzIiMjcStVmUcPHxk6HC329rk4dsqXUWOGAzDst5GsX7sxzr6PHj0mm3VuzJU2bNm8PdHHmD1zHg7fOGmMphMyyTQpJPkIkUjqz84izpw+Z8BI4vf78MGsXv8HANu27Iizz8sXL2PmALVv05lzZy8kuN9LFy8z/PeRPH70mM4duidbvOmCTPTRmSQfIRJJpTKPeRzgf9OAkcTPyMiI5i1+IF/+vFy5ck1jFdNPnEs4kTfffxNPd27fneB+p0yaEVMlwdIyU/IFLDIkST5CJJJKZRbz+N7de0m+NPIm/K1Wex8RqtHMleYaLfa8n9jiWjOozU+tePjgEb4H/bT6K5VKfmjaOOZ5zVrVE4z73t17fFMgP5UqV+TxoydERETo/NnTK7nspjtJPkIk0qflqIE0scR21WqVAbhy5Vqc28eMH0GP3t2YNHU8terUSHB/FhaZePr3MwoUzM/bt2+5f+9BcoYrMhhJPkIkktlnZz7BwalzgbnPVapSgUyZMrFm1TrevHmjtd3CwoI5c6fz66C+idpf7749CA0NZe3qDUDaSMD6Imc+upPkI0QimZiYxDy2sLAwYCSJY25uzoCBv+B/PYCObX/+6v01bdYY17JlYp4HvX791fsUGZfS0AEIkVbcvn0n5nEZ11KJft+b8Lcaz61MMut87Nhze9RqtWaHL/xPsvuooZw7ewGfvftp1aIdGzavTvLSCkZGRhz08+bMqbM8f/GSxk0aJmk/QoCc+QiRaBcvXPrvSRqpOKxQKJi3cDZFihZm1w4vdu30AiAqKipJE1BVKhXValSlRcummJqaJne4aVbsBQOTq6VnknyESKTPv6zvp9IyO3HJmzcPG7eswdzcnNYt2uNUtDSZTLOQyTQL7kNHp+o5SyL9kuQjRBI8e/bM0CHoxLFYUXbv3UaRooW5c/tuzOuzZnhQvXIdvL18DBhd2icDDnQn93yESCTnEk5c/XfY8l8XLrFy12rcqrqiNNL8M8psYq3xPJdFDp2PpUYd+wVNithPE/6iqlylIpeunQXg8qUreHv5MHH8VCIiIvD19eO77+vrHKcQSSVnPkIk0tVY82V6NuuL394/DRTN13EpWYKh7kPo07cnANnt7AwcUdonlXV0I2c+QiRR+epulK1cJuGOqdjlS1cAqFS5goEjSeMUJP8glHSegeTMR4hECAsL03jebXAXFm6dS2Zr3YdNpya1/l1i++TJMwaORGQ0cuYjRCJcu3pd43mV0pUpZlMsUe8NjQjVeB7XejyKOF77nIlC8081oXs8secBfWnYbveeXfCYNY/xYybRo1dXrKys4t2viFtKDBBI7wMO5MxHiES4det2zGMLCwuaNmscT++0w8rKiu49uxIeHs6Vy3HXgBMiJUjyESIRbvjfAKLPIN6/f5+o9W/Sih+aNUahUDB6xDjtygkiUWQ5H91J8hEiEQIDo0vr5LLPCcDbN2/j656mlHBxpn3Hnzh+7CTH/jxu6HBEBiHJR4gEREREcPLEKQBMTKJLypiamsT3ljSnVeuWANSv25hVK9bo9N7AW7cJDw9PibDSDJlkqjtJPkIkwGu3Nw8fPAKgQIH8AJjrUNU69sJwZsZmWs3UyCTellDNr0h1pEbTtUZYjdrVWLhkHlFRUfTs1pfIKO3VT+P6vbiWrEiJYq78sWxVon8f6ZMieqh1cjZJPkJkbC9fvIp5XKy4IwDm5qovdU+zOnRqC0SPlNuwbnO8fW/dDKRNyw5cv+YPRFd/EEIXknyESEBmK0tUKhX29rliLrulhfV8kqKQQ0GABJfIfvTwcUyf7xrWy/CTVGXAge4k+QiRgJXL1/DhwwdU5irOnT2PsbEx2eyyGjqsFGFvnwuA6jWqxtuvYuXy5M2XBzu7bAwfOVQfoYl0RiaZCpGAp0+jK1g/uP+QO7fv0rlrB2xsbAwaU0SU5plJ7OKmSVX721oc/fM4R/yO8k2n/F/sp1Kp8L8Vvb6RsbFxshw7LZNJprqTMx8h4hEU9JqAf+f4REREUMLFmRmzpxg4qpTTqnULzMzMGDxgKC9evIy3r7GxsSQekWSSfISIx59HjsZMvDQyMmL1uuXp9n4PQL78eZk+azLv3r1j8K9yOS3RknukW8yIt/RLko8Q8fDz/W/JhIaNGlDUsYgBo9GP776vB8Ctm7cMHEnaIoMNdCP3fISIx+KFS2Med+veJUn7iF2yJpKoOPpovpZQkRtTo5Sb5GqX3Y4sWWwJDg7h6dNn5Myp+2J4QiREznyE+IJbNwM1njuVKG6gSPRLqVTSf1Bf7t65R4E8RTl/7i9Dh5TqRZ+tSH0DXUjyEeILvPf4aDx/cP+hgSLRv0FD+tP4h+8BmOfhGWefjx8/UsalAt9920RrvSMhEiLJR4gv2LtnHwBWVtELxp06edqQ4eiVQqFgw+bVOBQuxMb1mzl29IRWn+vX/PG/HsBh3yNs3rjVAFGmHqmpttu7d+8YMGAA9vb2qFQqSpUqxYYNG5L5E389ST5CxCEkJIQjfkcBKF2mFADDfx+VpH3FrrOmVBhrNRMjE42WUK235BaFWqupUTNk6EAA6tb8jn59Bmq85969+zGPp0yaweZN2/C/HiDLMhhYs2bNWLlyJaNHj2bv3r24ubnRpk0b1q1bZ+jQNEjyESIOu3fuiXncqWsHAGxsrA0VjsG069CGvQd3AbBk8XKaN2mFj/d+AO7dfQBA5SoVuR14hw4/daGMSwUK5nVk6JARGetSXCqpr+Pt7c2BAwfw9PSkR48e1KxZkyVLllC3bl2GDBlCZGTCBWP1RZKPEHHYvHFbzONzZ85jampKNrtshISEGDAqw6hWvQrTZk4CwHvPPpo2/pGpk2bErG10/NhJatepyR+rl9C3f2/UajUes+fTtNGPGeYsKLVcdtu+fTuWlpa0bNlS4/XOnTvz5MkTTp9OPZeOkzTU+vbtO8kdhxCpxvPnLziw/xDlK5Tj9Kkz7Nu7n7CwMG7dDMSluBtbd6xPdxNNI9Xaw78//+qrWbs6m7au5fTps8ycNocxoyYwf9EcunbrxIrlqzl4wJcOndrSqUt72rZvTce2XfE95McizyUJ1olLLob8XkqJY3/aZ2BgoNY2Ozs7smfPrvX61atXKVasGEql5le7i4tLzPZKlSole6xJotbB48eP1ZkzZ1YTPQ1BmjRp0lJVy5w5s/rx48e6fK19lZT+TjQ1NY3z9dGjR8cZT+HChdX16tXTev3JkydqQD1p0qQU/o0knk5nPvb29gQEBPD69Wtd3iaEEHpha2uLvb293o6X0t+JkZGRcdbPs7Oz++J74ls8MDELC+qLzpfd7O3t9fofVwghUrPU9J2YNWtWXr16pfV6UFAQAFmyZNF3SF8kAw6EECKdKFGiBP7+/lqLAV65cgUAZ2dnQ4QVJ0k+QgiRTjRt2pR3796xdavmpN+VK1dib29P+fLlDRSZNiksKoQQ6USDBg2oW7cuvXr14s2bNzg4OLB+/Xp8fHxYs2ZNqlp/SaFWZ5CB+EIIkQG8e/cOd3d3Nm3aRFBQEI6OjgwbNozWrVsbOjQNknyEEELondzzEUIIoXeSfIQQQuidJB8hhBB6J8lHCCGE3knyEUIIoXeSfIQQQuidJB8hhBB6J8lHCCGE3knyEUIIoXeSfIQQQuidJB8hhBB6J8lHCCGE3knyEUIIoXf/B/p0+JUpIl9mAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(dpi=120)\n", - "ax = fig.add_subplot(111, projection=crs.PlateCarree())\n", - "da.plot(ax=ax, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax.add_feature(cfeature.OCEAN)\n", - "ax.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax.coastlines()\n", - "\n", - "# Add a red cross marker at the location of the Leven River at Newby Bridge\n", - "ax.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "bf70a067-9541-4ef5-b336-f952e2403e13", - "metadata": {}, - "outputs": [], - "source": [ - "prepared_forcing_path_caravan_central = \"/home/emol/forcing/caravan/hysets_09488650\"\n", - "caravan_forcing = ewatercycle.forcing.sources['CaravanForcing'].load(directory=\"/home/emol/forcing/caravan/hysets_09488650\")\n", - "xr_caravan_forcing = xr.open_dataset(caravan_forcing['Q'])" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "786ba6e4-344e-400f-91e4-f6ef566a7362", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "timeseries.plot()\n", - "xr_caravan_forcing[\"Q\"].plot(label=\"Observed discharge\", color = \"orange\")\n", - "plt.axhline(y=0.0567, color=\"red\", linestyle=\"--\", label=\"Threshold\")\n", - "plt.title(\"Gila River ERA5 (2024)\")\n", - "plt.legend()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "f80716d9-1b40-4d5f-9ab0-352fdb03951f", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dd64f7ed-5bdd-4820-b4f9-4adff3d3e480", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025.ipynb deleted file mode 100644 index d719ce2..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025.ipynb +++ /dev/null @@ -1,677 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Groundwater recharge in 2025\n", - "Groundwater recharge in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model\n", - "Location of the groundwater recharge: Gila river near Yuma & ..." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")\n", - "#print(pcrglob)" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Starting and initializing the model" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_191427/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_191427')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "markdown", - "id": "1d5efb10-0814-4b11-9161-3c77d4675bc3", - "metadata": {}, - "source": [ - "Running the model" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = discharge_at_station126[0]\n", - "\n", - " # Show progress\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "b247d9a7-00d8-4d1b-8b2a-62a3f61ccde7", - "metadata": {}, - "source": [ - "### Results\n", - "Graph of the groundwater recharge in 2025" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "e32dc1d3-b768-4dd3-8919-67af82b627bd", - "metadata": {}, - "outputs": [], - "source": [ - "da126 = pcrglob126.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "916657b4-b345-42fe-9ac5-3762ac86c595", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig126 = plt.figure(dpi=120)\n", - "ax126 = fig126.add_subplot(111, projection=crs.PlateCarree())\n", - "da126.plot(ax=ax126, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax126.add_feature(cfeature.OCEAN)\n", - "ax126.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax126.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax126.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax126.set_title(\"Sonoran Desert SSP1-2.6\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP4-6.0\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_191619/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_191619')" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = discharge_at_station245[0]\n", - "\n", - " # Show progress\n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "37974d63-7177-4681-ac2d-4618b6aae493", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP4-6.0." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "91e9030b-b052-4d90-864c-091217f78292", - "metadata": {}, - "outputs": [], - "source": [ - "da245 = pcrglob245.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "dd6408f5-0344-4f53-9c15-be1f7b7dcb67", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig245 = plt.figure(dpi=120)\n", - "ax245 = fig245.add_subplot(111, projection=crs.PlateCarree())\n", - "da245.plot(ax=ax245, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax245.add_feature(cfeature.OCEAN)\n", - "ax245.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax245.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax245.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax245.set_title(\"Sonoran Desert SSP2-4.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_191807/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_191807')" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = discharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "92793746-27c5-4762-8646-00335146db96", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP5-8.5." - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "9b397721-1fb5-4b52-a73e-504d3fec2ed4", - "metadata": {}, - "outputs": [], - "source": [ - "da585 = pcrglob585.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "cdb73527-fc01-4a0e-a60e-0a3efcadcd87", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig585 = plt.figure(dpi=120)\n", - "ax585 = fig585.add_subplot(111, projection=crs.PlateCarree())\n", - "da585.plot(ax=ax585, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax585.add_feature(cfeature.OCEAN)\n", - "ax585.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax585.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax585.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax585.set_title(\"Sonoran Desert SSP5-8.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(timeseries126, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245, label=\"SSP2-4.5\", color=\"blue\")\n", - "plt.plot(timeseries585, label=\"SSP5-8.5\", color=\"orange\")\n", - "\n", - "plt.title(\"Comparison SSPs for 2025\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Recharge [m/day]\")\n", - "plt.xticks(rotation=45, ha='right')\n", - "plt.legend(loc=4);" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4e8ca028-958c-42b4-9d2f-c01f7f1096b9", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_approx.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_approx.ipynb deleted file mode 100644 index 975b38a..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_approx.ipynb +++ /dev/null @@ -1,705 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Evaporation in 2025\n", - "Evaporation in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model: SSP1-2.6\n", - "Location of the groundwater recharge: Gila river near Yuma." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")\n", - "#print(pcrglob)" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Years for which PCR-GlobWB needs to simulate the approximation; 2025, 2050, 2075 and 2100." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_113004/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_113004')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " end_time=\"2025-09-30T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")\n", - "\n", - "recharge126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " precipitation_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"precipitation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " landsurface_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " evaporation_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"total_evaporation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " recharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = precipitation_at_station126[0] + landsurface_at_station126[0] - evaporation_at_station126[0] \n", - " recharge126[\"PCRGlobWB: Sonoran Desert\"][time126] = recharge_at_station126[0]\n", - "\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp" - ] - }, - { - "cell_type": "markdown", - "id": "d145747f-bd55-4111-8932-c6f962548d04", - "metadata": {}, - "source": [ - "Comparing the approximation with the groundwater recharge that is simulated with PCR-GlobWB." - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "64a62425-8a58-455e-a6fd-5c1efef91d90", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlYAAAH6CAYAAADFkwIXAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAADBGUlEQVR4nOzdd1hT1xsH8G9YIQxBQEAREffeewF1b20dVWsdnfqzWq21tdU6qrVaR2utWltnW1drta3bWsG9xb1FcSGCsndyfn8c7iUhAXLDDQnwfp6HJyG5uTlAgDfvec97FIwxBkIIIYQQUmg2lh4AIYQQQkhJQYEVIYQQQohMKLAihBBCCJEJBVaEEEIIITKhwIoQQgghRCYUWBFCCCGEyIQCK0IIIYQQmVBgRQghhBAiEwqsCCGEEEJkUqIDq3Xr1kGhUIgfdnZ2qFixIkaNGoXHjx/rHX/v3j2MGzcONWrUgEqlgpOTE+rWrYtp06bpHD9y5Eid8zo4OKBq1aqYPHkyEhISJI0xPT0dP/zwA4KCguDp6Ql7e3t4enoiODgYP/74IxITE3WOVygUmDlzpuTvRWhoKBQKBf744498j1u4cCEUCgVOnTqlc7tGo4GHhwcUCgVu3rypc19GRgacnJzw6quv6oxT+8PZ2Rm1a9fGrFmzkJycLHn8xDSmvl7ksHz5cqxbt84s57bk12Vp9+/fh0KhMNv31pCNGzfi22+/LbLnK0qVK1dGr169LD0Ms5g9ezbq1KkDjUYj3hYbG4upU6eiTp06cHZ2hpubG2rVqoXhw4fj0qVLOo8/deoU+vfvj0qVKkGpVMLHxwetW7fGRx99pHNccHCwzt97lUqFhg0b4ttvv9V57qtXr2Ls2LFo3bo1nJ2doVAoEBoaavTXk5CQgLlz5yI4OBi+vr5wcXFB/fr1MX/+fKSlpRl9npiYGEyYMAGVK1cWv67u3bvjxYsX4jGrV6+Gn5+fSf+v7CQ/ohhau3YtatWqhdTUVBw+fBjz5s1DWFgYLl++DGdnZwDAzp078frrr8PLywvjxo1D48aNoVAocPnyZaxZswa7du3ChQsXxHOqVCr8999/AIC4uDj88ccfWLRoES5duoT9+/cbNa7nz5+jW7duuHLlCkaMGIHx48fD29sbsbGx+O+//zBlyhQcPXoUv/zyi/zflDyEhIQAAA4dOoSWLVuKt1+8eBEvX76Es7MzDh06hJo1a4r3nTp1CqmpqeJjBQMGDBB/AZOSkhAWFobZs2fj0qVL2LZtWxF8NeTEiROoWLGiRZ57+fLl8PLywsiRIy3y/EQ+GzduxJUrV/Dhhx9aeijESE+ePMGCBQuwbt062NjwHEpSUhJatWqFpKQkfPzxx2jYsCFSU1Nx69Yt/PnnnwgPD0eDBg0AALt27UKfPn0QHByMBQsWoHz58nj69CnOnj2LzZs3Y9GiRTrPV6VKFfz2228AgOjoaKxcuRITJ07E06dPMX/+fADA2bNnsWPHDjRu3BgdO3bEP//8I+lrioyMxLfffovhw4dj0qRJcHFxwZEjRzBz5kwcOHAABw4cgEKhKPD70r59e9jZ2WH69OmoXr06YmJicOjQIWRkZIjHjRgxAvPnz8eCBQswa9YsSeMEK8HWrl3LALAzZ87o3D59+nQGgP3666+MMcbu3bvHnJ2dWePGjVlcXJzeeTQaDdu2bZv4+YgRI5izs7PecSEhIQwAu3fvnlHj69KlC7O3t2dhYWEG74+JiWG//PKLzm0A2IwZM4w6v7ZDhw4xAOz333/P9zi1Ws3c3d1Z165ddW5fvHgxq1ChAhsyZAgbNGiQzn2zZ89mANjly5d1xvm///1P7/zDhw9nNjY2LDU1VfLXUJJlZWWxtLQ0Sw9DVnXr1mVBQUFmObepvwdSJCcnm/X8poqIiGAA2Nq1a4vsOXv27MkCAgJkP29KSoqk483xMwkICGA9e/aU/bzaLPH7PWXKFObn58fUarV425o1axgA9t9//xl8jPaxHTp0YFWrVmWZmZn5HscYY0FBQaxu3bo6t2VkZLAqVaowJycnlpGRofe433//nQFghw4dMvprSkpKYklJSXq3f/PNNwwAO3LkSIHn6Nu3L/Pz82MvXrwo8NiFCxcyNzc3ya+7Ej0VmJdWrVoBAB48eAAAWLx4MZKTk7F8+XK4ubnpHa9QKHSmufLSrFkzAMCzZ88KPPbMmTPYv38/3n33XXTo0MHgMZ6ennjjjTcKPNeVK1fQt29flC1bFo6OjmjUqBHWr19v8Ni0tDRMmjQJvr6+UKlUCAoK0snE2djYoEOHDjh27BiysrLE20NDQxEcHIygoCC91G1oaCjKlSuHunXrFjhWNzc3KBQK2Nra5nnMjh07oFAocPDgQb37VqxYAYVCIaas7927h9dffx0VKlQQU7odO3ZEeHh4vuM4e/YsXn/9dVSuXBkqlQqVK1fGkCFDxNeEQJhOPnDgAEaNGgUPDw84Ozujd+/euHfvns6xwcHBqFevHo4cOYJWrVpBpVLBz88P06dPh1qtFo8TpnIWLFiAOXPmIDAwEEqlEocOHQIA/P3332jdujWcnJzg6uqKzp0748SJE+LjN2/eDIVCgWXLluk8/4wZM2Bra4sDBw6It+WeMhO+nv/++w/vvPMOPD09UaZMGbz55ptITk5GVFQUBg0aBHd3d5QvXx6TJ09GZmamzvPMmjULLVu2hIeHB8qUKYMmTZpg9erVYFr7uVeuXBlXr15FWFiYOD1QuXJl8f6EhARMnjwZgYGBcHBwgJ+fHz788EO9tHtCQoI4ThcXF3Tr1g23bt3K70er4+rVq+jSpQucnJxQrlw5/O9//8OuXbv0piCEn93hw4fRpk0bODk5YfTo0QD4u+Q33ngD3t7eUCqVqF27NhYtWqQzxSFMtef+3TA0bTdy5Ei4uLjgzp076NGjB1xcXODv74+PPvoI6enpOo9/8uQJBg0aBFdXV7i5uWHw4MGIiorSOUb4es6cOSPetm3bNigUCvTs2VPn2AYNGuC1114TP//hhx/QoUMHeHt7w9nZGfXr18eCBQt0fubBwcHYtWsXHjx4oDPdI8jIyMCcOXNQq1YtKJVKlCtXDqNGjcLz5891nluYcvvzzz/RuHFjODo65psJyO9nYuzrR6PR4Pvvv0ejRo2gUqng7u6OVq1a4e+//9Z7vr1796JJkyZQqVSoVasW1qxZo3P/8+fPMXbsWNSpUwcuLi7w9vbGK6+8giNHjugcV9Dv919//YUGDRpAqVSiSpUq+O677zBz5ky9TAtjDMuXLxfHXrZsWQwYMEDv744hGRkZWL16NYYOHSpmqwA+DQgA5cuXN/i43Md6eXnBzk5/Ykv7uLzY29ujadOmSElJEV8LxjwuP87OzuIsk7YWLVoAAB4+fJjv4+/fv4+///4b77zzDsqWLVvg8w0bNgwJCQnYvHmztIFKCsOKmbwyVt999x0DwFatWsUYY6xGjRrMx8fH6PPmlbEaMGAAs7OzY8+ePSvwHHPnzmUA2L59+4x+Xsb036nfuHGDubq6sqpVq7INGzawXbt2sSFDhjAAbP78+eJxQsbK39+f9e3bl/3zzz/s119/ZdWqVWNlypRhd+/eFY9dsmQJA8COHz/OGMvJYv3444/s+vXrDAC7evUqY4yx9PR0plKp2MCBA/XGOXbsWJaZmckyMzPZy5cv2Y4dO5irqysbNmxYvl9jZmYm8/b2NnhcixYtWJMmTcTPa9asyapVq8Z++eUXFhYWxrZt28Y++uijAt8F/f777+yLL75g27dvZ2FhYWzz5s0sKCiIlStXjj1//lw8TngN+fv7s9GjR7M9e/awVatWMW9vb+bv789evnwpHhsUFMQ8PT1ZhQoV2NKlS9m+ffvY+PHj9bJ3QsbBz8+PhYSEsD/++IPt37+fRUREsN9++40BYF26dGE7duxgW7ZsYU2bNmUODg4678bef/995uDgIL62Dx48yGxsbNi0adP0fg7arxfh6wkMDGQfffQR279/P5s/fz6ztbVlQ4YMYU2aNGFz5sxhBw4cYJ988gkDwBYtWqRzzpEjR7LVq1ezAwcOsAMHDrAvv/ySqVQqNmvWLPGY8+fPsypVqrDGjRuzEydOsBMnTrDz588zxnjWoVGjRszLy4stXryY/fvvv+y7775jbm5u7JVXXmEajYYxxjPFISEhTKlUsrlz57L9+/ezGTNmsCpVqhiVsXry5Anz9PRklSpVYuvWrWO7d+9mw4cPZ5UrV9Z7pxwUFMQ8PDyYv78/+/7779mhQ4dYWFgYi46OZn5+fqxcuXJs5cqVbO/evWzcuHEMABszZoz4eOH3K/frzlB2acSIEczBwYHVrl2bLVy4kP3777/siy++YAqFQud7mJKSwmrXrs3c3NzY999/L76eKlWqpHPOxMREZm9vz7766iud14dKpWLOzs5ituDZs2dMoVCw5cuXi8dNnDiRrVixgu3du5f9999/bMmSJczLy4uNGjVKPObq1ausbdu2zNfXV/xZnjhxgjHG/zZ069aNOTs7s1mzZrEDBw6wn3/+mfn5+bE6deroZKQCAgJY+fLlWZUqVdiaNWvYoUOH2OnTp/P8+eX1MzH29cMYz5ArFAr29ttvs7/++ovt2bOHzZ07l3333Xc646pYsSKrU6cO27BhA9u3bx8bOHAgA6Azm3Djxg02ZswYtnnzZhYaGsp27tzJ3nrrLWZjY6Pzc8/v93vPnj3MxsaGBQcHs+3bt7Pff/+dtWzZUnxNanvnnXeYvb09++ijj9jevXvZxo0bWa1atZiPjw+LiorK8/vGGGOHDx9mANju3bt1bj969CgDwJo3b862b9/OYmJi8jzH22+/zQCwDz74gJ08eVJ8HeX1s8qdsWKMsSZNmjA7OzuDmUlTMlZ5mTFjBgPALl68mO9xGzZsEP/3v/7668zZ2ZkplUoWFBQk/r/LrXbt2uzVV1+VNJ5SEVidPHmSZWZmssTERLZz505Wrlw55urqKr44HR0dWatWrYw+rxBYCUFDTEwMW7FiBbOxsWGfffaZUed4//33GQB248YNnds1Go143szMTJaVlaVzf+5/KK+//jpTKpUsMjJS57ju3bszJycncWpT+MPfpEkTnT889+/fZ/b29uztt98WbwsPD2cAxD/U586d0xmrj48PW7ZsGWOMsbCwMAZA54+1ME5DH927dzeYys1t0qRJTKVS6UzNXrt2jQFg33//PWOMT5UCYN9++22B5ytIVlYWS0pKYs7Ozjp/dIXXUP/+/XWOP3bsGAPA5syZI94WFBTEALC//vpL59h33nmH2djYsAcPHjDGcv7wVq1aVeePlVqtZhUqVGD169fXSZknJiYyb29v1qZNG/G2tLQ01rhxYxYYGMiuXbvGfHx8WFBQUIGvF+Hr+eCDD3SO69evHwPAFi9erHN7o0aNdALZ3NRqNcvMzGSzZ89mnp6eOq+tvKYC582bx2xsbPTe8Pzxxx86/wz27NnDAOj8PBjLeVNSUGD18ccfM4VCIb4JEHTt2tVgYAWAHTx4UOfYTz/9lAFgp06d0rl9zJgxTKFQsJs3bzLGpAdWANjWrVt1ju3RowerWbOm+PmKFSvyfD3lPme7du3YK6+8In5erVo19vHHHzMbGxsxOBCC9lu3bhn4buX8LDds2MBsbW11pkrymgrctGkTA6BTKsEYY2fOnNH7uxAQEMBsbW3F71lB8vqZGPv6EYKLzz//PN/nCQgIYI6OjuLvJ2OMpaamMg8PD/bee+/l+bisrCyWmZnJOnbsqPP3Ia/fb8YYa968OfP392fp6enibYmJiczT01MnsDpx4oTBNzUPHz5kKpWKTZkyJd+vaf78+QyAwQBs9uzZzMHBQfybHBgYyN5//329oCQmJoa1a9dOPM7e3p61adOGzZs3jyUmJuocKwRWwv+tJ0+eiL87ud90C+QKrC5evMhUKpXe32hD5s2bxwCwMmXKsL59+7K9e/eybdu2sQYNGjBHR0eDgdmwYcMkJV4YKyWBVe6P+vXrs6NHj4rHmRJYGTrvkCFDdI7LHSRpz1XnFVht375d55y5M2O5/6F4e3uzHj166I1xy5YtDADbs2cPYyznD//ChQv1jg0KCmJVq1bVGbenpyfr0qULY4yxRYsWMV9fX/H+gQMHstdee40xxtisWbMYAHb9+nW9cQ4aNIidOXOGnTlzhh0+fJgtXbqUlStXjrVr167AeoMrV64wAOzHH38Ub/v444+ZUqlksbGx4jirVq3K/Pz82KJFi9j58+f15v7zkpiYyKZMmcKqVq3KbG1tdb7n77//vnic8Br6448/9M4REBDAOnbsKH4eFBTEXF1d9Y4TvvdCvZzwh3fixIk6xwmB44IFC/TOMWbMGGZjY6Mz13/79m1WpkwZ5ujoyLy9vdmTJ0/0HpdXYJU7Uzp16lQGQO+f3pAhQ5inp6fObQcPHmQdO3ZkZcqU0fsd0P5Dnldg1bZtW9agQQO9343ExESmUCjEfxpTpkxhAPTeVQvfv4ICqxYtWrD69evr3b5u3TqDgVXZsmUNnqNOnTp6t586dYoBYCtWrGCMSQ+sFAqFXp3hp59+yhwdHcXPBw0alO/rSfucM2bMYEqlkqWkpLD79+8zAOzcuXOsSZMmYhZz1KhRrFKlSjrnOn/+POvduzfz8PDQ+1mePHlSPC6vwGrYsGHM3d2dZWRk6P08fX19deoxAwICWOPGjfXOkZe8fibGvn6E17Sh3wttAQEBBv/+t2rVinXr1k3nthUrVrDGjRszpVKp872qVauWeExev99JSUlMoVDovalhjGeBtQOrzz//nCkUCvbs2TO9r7NVq1asRYsW+X5NEyZMYAqFQu+NliAqKoqtWbOGvffee6x+/foMALOzs2MbN27UO/bMmTPs66+/ZgMGDGBeXl4MAKtcubJOZl8IgrU/7O3t2bBhwwzWLTOWf2AlBK3CR15/1yMiIpi/vz+rUaOG+H8hP8Kbsjp16uh8b548ecKcnJwMzpJMnDiRKRQKg7VmeSkVNVYbNmzAmTNncOHCBTx58gSXLl1C27ZtxfsrVaqEiIgISedUqVQ4c+YMzpw5g3/++QfBwcHYtGkTvv76a/GY9evXw97eXudD+zkB6NX0BAcHi+c1ZglwbGyswfnyChUqiPdr8/X11TvW19dX5ziFQoGgoCAcO3YMmZmZOHToEIKCgsT7g4KCEBYWBsYYDh06BF9fX9SqVUvvvOXKlUOzZs3QrFkztG/fHh988AGWLl2Ko0ePFrhUvG7dumjevDnWrl0LAFCr1fj111/Rt29feHh4iOM8ePAgunbtigULFqBJkyYoV64cxo8fr9emIrehQ4di2bJlePvtt7Fv3z6cPn0aZ86cQbly5ZCammrwe1TQ9w0AfHx88nxs7mNz/9zyq3+oUKECNBoNXr58Kd5WrVo1tG/fHmlpaRg2bFiedROGCN9DgYODQ563ay9jPn36NLp06QIA+Omnn3Ds2DGcOXMGn3/+OQAY/N7l9uzZM1y6dEnvd8PV1RWMMcTExADg3w87Ozt4enrqPN7Qz8KQ2NhYgz8PQ7cBhr/vUn+/jOXk5ARHR0ed25RKpc73Oq/xG/r6O3XqhPT0dBw9ehQHDhyAl5cXGjdujE6dOuHff/8FABw8eBCdOnUSHxMZGYn27dvj8ePH+O6773DkyBGcOXMGP/zwAwDjf5ZxcXFwcHDQ+3lGRUWJP0uBlNdoXscb+/p5/vw5bG1tjXq95H6NAfznof09WLx4McaMGYOWLVti27ZtOHnyJM6cOYNu3boZ/F7lHvvLly/BGDPqNfns2TPx2Nxf58mTJ/W+r7mlpqbC3t4+z1pWHx8fjBo1CitXrsSlS5cQFhYGBwcHTJgwQe/YZs2a4ZNPPsHvv/+OJ0+eYOLEibh//z4WLFigc1zVqlVx5swZnD17FleuXEFcXBx+/fVXg3XLBenYsaPO1yzU1ml78OABQkJCYGdnh4MHD+r97TJE+Dl36tRJ53tTvnx5NGzYEOfPn9d7jKOjIxhjkto5lIp2C7Vr1xYLyw3p2rUrvv/+e5w8eVIsbC+IjY2Nzjk7d+6Mpk2bYtasWRg2bBj8/f3Ru3dvnYJSbZ07d8Znn32Gv//+W/xHBQDu7u7ieQ39sufm6emJp0+f6t3+5MkTAICXl5fO7bkLX4Xbcj9XSEgI/vzzT5w6dQpHjhzBvHnzxPuCgoIQExODc+fO4eTJk+jfv3+B4xQIS3kvXrxY4LGjRo3C2LFjcf36ddy7dw9Pnz7FqFGjdI4JCAjA6tWrAQC3bt3C1q1bMXPmTGRkZGDlypUGzxsfH4+dO3dixowZ+PTTT8Xb09PTdfqYaMvr+1atWjWd2wwtXBAem/t7nLtYVbg/r5+njY2NTsHlzz//jF27dqFFixZYtmwZBg8erNMiwxw2b94Me3t77Ny5Uycw2LFjh9Hn8PLygkql0isO1r4f4N+PrKwsxMbG6nzvDP0sDPH09Mz355GboWXaxv5+Cd+L3MXnBf0DzI+npydOnz6td7uh8bds2RIuLi74999/cf/+fXTs2BEKhQIdO3bEokWLcObMGURGRuoEVjt27EBycjL+/PNPBAQEiLcXtPBDm5eXFzw9PbF3716D97u6uup8XtBS+NwMHW/s66dcuXJQq9WIioqSHNAZ8uuvvyI4OBgrVqzQuT2vN3G5x162bFkoFAqjXpNeXl5QKBQ4cuQIlEql3vGGbsv9+IyMDCQnJxss9s6tQ4cO6NKlC3bs2IHo6Gh4e3sbPM7e3h4zZszAkiVLcOXKFZ37HB0d8/0/K0XuHo65/489ePAAwcHBYIwhNDTU6JYywv8fQxhjBovrX7x4AaVSCRcXFyNHX8IbhBpr4sSJcHZ2xtixYxEfH693P2MM27dvz/ccSqUSP/zwA9LS0jBnzhwA/A+jkLERPgTNmjVDly5d8NNPP+mtKpGiY8eO+O+//8Q/9IINGzbAyclJL1DctGmTzuqtBw8e4Pjx4wgODtY5TuhJtWTJEsTHx+vcX7duXXh6emLevHlIS0vT61+VH+GPdl6/uNqGDBkCR0dHrFu3DuvWrYOfn59OEJpbjRo1MG3aNNSvX9/gOw+BQqEAY0zvj9PPP/+ss3pPm9CfRXD8+HHxl1tbYmKi3oqjjRs3iqst81OzZk34+flh48aNOj+j5ORkbNu2TVwpCACXL1/G+PHj8eabb+LIkSNo0KABBg8erJPRMgeh0a72u73U1FSDvdZyv+MX9OrVC3fv3jX4+9GsWTNx9aDwusr9vd+4caNRYw0KCsKVK1dw7do1ndulrPDp2LEjrl27pvd62rBhAxQKhThGYcy5GywaWn1mrJCQkDxfT7nZ29ujQ4cOOHDgAP777z907twZAMR+PdOmTRMDLYHwj1/794Axhp9++knv/Pn9LGNjY6FWqw3+LLX73cnF2NdP9+7dAUAvEDKVQqHQ+5tx6dIlnRW7+XF2dkazZs2wY8cOnX5JSUlJ2Llzp86xvXr1AmMMjx8/Nvg11q9fP9/nEmYQ7t69q3P7s2fPdFazCtRqNW7fvg0nJye4u7sDMPwGDwCuX78OICdraw41a9Y0+DMFeKY1ODgYarUa//33n86bgoK0bNkSFStWxP79+3X+1j958gQXL140mFi5d+8e6tSpI2n8pSJjVZDAwEBs3rwZgwcPRqNGjcQGoQBw7do1rFmzBoyxAjMzQUFB6NGjB9auXYtPP/0UgYGB+R7/66+/omvXrujUqRNGjhyJrl27wtvbGwkJCbh06RL+/fdflClTJt9zzJgxAzt37kRISAi++OILeHh44LfffsOuXbuwYMECvTRsdHQ0+vfvj3feeQfx8fGYMWMGHB0dMXXqVJ3j6tatC29vb2zfvh3lypVD7dq1xfsUCgU6dOggBpt5BVbPnj3DyZMnAfA2D+Hh4ZgzZw7c3d31Mk+GuLu7o3///li3bh3i4uIwefJknXcUly5dwrhx4zBw4EBUr14dDg4O+O+//3Dp0iWdTFRuZcqUQYcOHfDNN9/Ay8sLlStXRlhYGFavXi3+Ucnt7NmzePvttzFw4EA8fPgQn3/+Ofz8/DB27Fid4zw9PTFmzBhERkaiRo0a2L17N3766SeMGTNGnP7Ni42NDRYsWIBhw4ahV69eeO+995Ceno5vvvkGcXFx4jRzcnIyBg0ahMDAQCxfvhwODg7YunUrmjRpglGjRknKHknVs2dPLF68GEOHDsW7776L2NhYLFy40OA76Pr162Pz5s3YsmULqlSpAkdHR9SvXx8ffvghtm3bhg4dOmDixIlo0KABNBoNIiMjsX//fnz00Udo2bIlunTpgg4dOmDKlClITk5Gs2bNcOzYMaMb5n744YdYs2YNunfvjtmzZ8PHxwcbN27EjRs3ABi39HvixInYsGEDevbsidmzZyMgIAC7du3C8uXLMWbMGNSoUQMAn57r1KkT5s2bh7JlyyIgIAAHDx7En3/+KeG7q+vNN9/EkiVL8Oabb2Lu3LmoXr06du/ejX379hk8vmPHjmJDXiEzpVKp0KZNG+zfvx8NGjTQeUPTuXNnODg4YMiQIZgyZQrS0tKwYsUKg8F5/fr18eeff2LFihVo2rSpmLF//fXX8dtvv6FHjx6YMGECWrRoAXt7ezx69AiHDh1C3759JWW0jWHs66d9+/YYPnw45syZg2fPnqFXr15QKpW4cOECnJyc8MEHH0h63l69euHLL7/EjBkzEBQUhJs3b2L27NkIDAzUaU2Tn9mzZ6Nnz57o2rUrJkyYALVajW+++QYuLi462fK2bdvi3XffxahRo3D27Fl06NABzs7OePr0KY4ePYr69etjzJgxeT6P8Ibv5MmTOlmaX375BT/++COGDh2K5s2bw83NDY8ePcLPP/+Mq1ev4osvvhDLArp27YqKFSuid+/eqFWrFjQaDcLDw7Fo0SK4uLgYnDYsSEpKCnbv3i2ODQDCwsIQExMDZ2dnMRjOS3R0NEJCQvD06VOsXr0a0dHRiI6OFu+vWLGimL168OABqlatihEjRoizGjY2NliyZAkGDRqEvn37YsyYMUhOTsaXX34JBwcHvf+DGo0Gp0+fxltvvSXtCzW6GqsYyqvdQl7u3r3Lxo4dy6pVq8aUSiVTqVSsTp06bNKkSSwiIkI8Lq92C4wxdvnyZWZjY6OzXDk/aWlp7Pvvv2ft2rVj7u7uzM7Ojnl4eLD27duz+fPn6xXkwUDR7uXLl1nv3r2Zm5sbc3BwYA0bNtRrHqhdQD1+/HhWrlw5plQqWfv27dnZs2cNjm3QoEEMABswYIDefd9++y1D9pJiQ2CgkLFKlSps1KhR7M6dO0Z9bxhjbP/+/eI5cq9mevbsGRs5ciSrVasWc3Z2Zi4uLqxBgwZsyZIleRZtCh49esRee+01VrZsWebq6sq6devGrly5wgICAtiIESPE44TX0P79+9nw4cOZu7s7U6lUrEePHuz27ds65xRWxoSGhrJmzZoxpVLJypcvzz777DOdwkehuPWbb74xOLYdO3awli1bMkdHR+bs7Mw6duzIjh07Jt7/xhtvMCcnJ73VbkIx6JIlS8Tbcr9e8vqdEJYraxekMmb4tb5mzRpWs2ZNplQqWZUqVdi8efPY6tWrGQCd35P79++zLl26MFdXVwZAp/g5KSmJTZs2jdWsWZM5ODgwNzc3Vr9+fTZx4kSdAvi4uDg2evRo5u7uzpycnFjnzp3ZjRs3jCpeZ4wvgujUqRNzdHRkHh4e7K233mLr169ngO7S7LyWizPG2IMHD9jQoUOZp6cns7e3ZzVr1mTffPONXkHt06dP2YABA5iHhwdzc3Njb7zxBjt79qzB4nVDfz+En4E24XXq4uLCXF1d2WuvvcaOHz+ud07G+OooAKx69eo6twsFu5MmTdJ7zn/++Yc1bNiQOTo6Mj8/P/bxxx+LqzG1i4pfvHjBBgwYwNzd3ZlCodAZZ2ZmJlu4cKF4HhcXF1arVi323nvv6fyOSG3Emd/PxNjXj1qtZkuWLGH16tUTj2vdujX7559/ChxXUFCQzuKL9PR0NnnyZObn58ccHR1ZkyZN2I4dO9iIESN0XtsF/X5v376d1a9fnzk4OLBKlSqxr7/+mo0fP95gof6aNWtYy5YtmbOzM1OpVKxq1arszTffzPNvtrb27dvrLWy6du0a++ijj1izZs1YuXLlmJ2dHStbtiwLCgrSa0a9ZcsWNnToUFa9enXm4uLC7O3tWaVKldjw4cPZtWvX9L5Xef2stAnfG0MfxjSgFf6P5fWh/TdBeC7tv+eCHTt2sObNmzNHR0fm5ubG+vTpo/f3lDG+UAfZC0GkUDCmNedACNGxbt06jBo1CmfOnCmwfiA4OBgxMTF6tQfEurz77rvYtGkTYmNjxXfnhFhKZmYmGjVqBD8/P6O3QzPGtm3bMHjwYDx48AB+fn6ynbc0GT58OO7du4djx45JehxNBRJCSqzZs2ejQoUKqFKliljL8vPPP2PatGkUVBGLeOutt9C5c2eUL18eUVFRWLlyJa5fv47vvvtO1ud59dVX0bx5c8ybN09vlwZSsLt372LLli3insBSUGBFCCmx7O3t8c033+DRo0fIyspC9erVsXjxYpPqQwiRQ2JiIiZPnoznz5/D3t4eTZo0we7du3VWbMpBoVDgp59+wt9//w2NRlPo7WRKm8jISCxbtgzt2rWT/FiaCiSEEEIIkQmFsIQQQgghMqHAihBCCCFEJhRYEUIIIYTIhIrXC6DRaPDkyRO4urpK3o6BEEIIIZbBGENiYiIqVKhQpMX7FFgV4MmTJ/D397f0MAghhBBigocPHxq9n6AcKLAqgLCJ6MOHDwvcXoYQQggh1iEhIQH+/v56m4GbGwVWBRCm/8qUKUOBFSGEEFLMFHUZDxWvE0IIIYTIhAIrQgghhBCZUGBFCCGEECITCqwIIYQQQmRCgRUhhBBCiEwosCKEEEIIkQkFVoQQQgghMqHAihBCCCFEJhRYEUIIIYTIhAIrQgghhBCZFLvAavny5QgMDISjoyOaNm2KI0eO5Ht8WFgYmjZtCkdHR1SpUgUrV64sopESQgghpLQpVoHVli1b8OGHH+Lzzz/HhQsX0L59e3Tv3h2RkZEGj4+IiECPHj3Qvn17XLhwAZ999hnGjx+Pbdu2FfHICSGEEFIaKBhjzNKDMFbLli3RpEkTrFixQrytdu3a6NevH+bNm6d3/CeffIK///4b169fF297//33cfHiRZw4ccKo50xISICbmxvi4+Nl3YSZMYaUlEzZzkcIIYQUV05O9rJvlmyu/98FsSuyZyqkjIwMnDt3Dp9++qnO7V26dMHx48cNPubEiRPo0qWLzm1du3bF6tWrkZmZCXt7e73HpKenIz09Xfw8ISFBhtHrS0nJhIvLUrOcmxBCCClOkpLGw9nZwdLDkEWxmQqMiYmBWq2Gj4+Pzu0+Pj6Iiooy+JioqCiDx2dlZSEmJsbgY+bNmwc3Nzfxw9/fX54vgBBCCCElXrHJWAlypwoZY/mmDw0db+h2wdSpUzFp0iTx84SEBLMEV05O9khKGi/7eYlETAOwLMCmZLxTIgRMDcAGkHlahRBzcnLSn0EqropNYOXl5QVbW1u97FR0dLReVkrg6+tr8Hg7Ozt4enoafIxSqYRSqZRn0PlQKBQlJu1ZrJ0ZB9xbC3Q7C7jVtvRoCDGeJhNIvA3EXQHir+RcJt0FFPaA0pN/OAiXHvzSowngP4ACL0LMpNgEVg4ODmjatCkOHDiA/v37i7cfOHAAffv2NfiY1q1b459//tG5bf/+/WjWrJnB+ipSyjANcP83QJ0CPNgCNJhp6RERkjeNGnh+GHiwFYg5BiTc4MGVISwdSH3CPwypOQFosoSCK0LMoNgEVgAwadIkDB8+HM2aNUPr1q2xatUqREZG4v333wfAp/EeP36MDRs2AOArAJctW4ZJkybhnXfewYkTJ7B69Wps2rTJkl8GsRbx14HMOH792b8AZlpwMIQYoFHzIOrBFuDhNiDtme79di6AWz3AvV72ZV2gTC0+HZgem/ORkX2Z/AC4twa4+R2gyQKaLQUUxabUlpBioVgFVoMHD0ZsbCxmz56Np0+fol69eti9ezcCAgIAAE+fPtXpaRUYGIjdu3dj4sSJ+OGHH1ChQgUsXboUr732mqW+BGJNYo5pXT8FZCYC9q6WGw8hAA94Yk4Akb8DD/8AUp/m3OdQFvB/FfDrDZRtBDhVyjvr5Bxg+PZybYFTbwO3fwBYJtB8BQVXhMioWPWxsgRL9cEgReDECCBiQ87nQTsBv56WGw8pvZLuAU/3A1EHgKiDQGZ8zn327oB/f6DSIMC3I2AjQxnDvfXAyVEAGFBlNNBiFWBjW/jzEmJFqI8VIUXteXbGyjkQSI4Aov6lwIoUjcxE/nqLOsADqqS7uvc7lAX8+mQHU50AW5kXulQZwQO0E8P51KAmE2i1loIrQmRAgRUpnVKfZf8zUwB1PwVOvwc8O2jpUZGSLvEucHMpD2ayknJuV9gBXq2B8l0A3y6AR1PzBzmVh/LnPT4UuP8LbzvSegNgQ/8WCCkM+g0ipZNQX+VWF6j4Kg+s4i7zgEtluH0HISZhDIg+DNxcAjz6G0B29YVLFaBCDx5I+QRbpr4vYBCgsAWOvQ482MSDqza/yTPdSEgpRYEVKZ2EacBybQFHL14I/DIcePYfUHmIJUdGSgp1Ol/Nd/Nb4OWFnNvLdwNqfsizU9bQ7qDSa4DNH8DRgbxgXlkOaP6DpUdFSLFFgRUpnbQDK4DXsbwM53UvFFgRUzAN7y0VfQR4foTXT6VF8/tsVUDgm7x/lDU2oq3YF2j3B3C4L3BnJVD9fcC9vqVHRUixRIEVKX2yUoGX5/l1IbDy6QhcX8gDK8asI5NArJsmE3hxngdR0Uf49HJ6rO4xKj+gxjig2ju867k1q9gHqJSdtTo/GXhln6VHREixRIEVKX1enOH/FB19+YpAAPBuz+tKUiJ5UbtrNcuOkVgvdRpw5yfg2tf6nc1tVYBXK6Bce6BcO147VZzqlRrOAx7tAKL2A0/2AhW6WXpEhBQ7FFiR0uf5cX5Zrm1OZsrOGfBqA0SH8awVBVYkN3UacOdn4Nq8nIDKwYMH5eXa8WDKo0nxCqRyc60K1PgAuLEYuDCZT5HTKkFCJKF2u6T0yV1fJfDpyC+jqO0C0aJOB24tB/6uBpz7gAdVTv68Y3n/J0CHHUDtyYBXy+IdVAnqTeN9tOKv8g3KCSGSUGBFShemAWKyM1ZeuQIr30788tl//DhSuqkzgNsrgH+qAWf/B6Q+BpwqAs2XA71v8wJvW6WlRyk/h7JAvS/49UvTeTNTQojRKLAipUvCTSDjBa+F8Wise59nc8DOld//MtwiwyNWgGmAiN+AnbWAM2OBlEe8CL3ZD0DvO0D1MSUzoNJWfSzgUo1v+nxtgaVHQ0ixQoEVKV2EaUDPFvrTNjZ2vNgY4HVWpHRhDHi8G9jTGDjxBt/myNEXaPo90OcOUGNsyQ+oBLYOQOP5/PqNRTy4JIQYhQIrUrrE5FFfJRDrrCiwKlViTgIHg4GwnkDcJcC+DNBwLg+oao4DbB0tPcKiV7E/L8pXpwIXP7f0aAgpNiiwIqWLkLHKXV8lEOqsnh/lq8BIycUY8OICcLg/sL8133bGRskL0fvcA+p+xleLllYKBdB4Eb8e8Qvv2UUIKRAFVqT0SIsGEm/z6+VaGz7GrQ6f/lGnAjEnim5spGhosoBnh4BzHwJ/VwX2NuF9mxQ2QJXRvCi98TfW38yzqHi1AAKGAGC8/QJjlh4RIVaPGpSQ0kPoX+VWl698MkShAHw7Avd/420XfEKKbnzEPDITgad7+QbIT3YBGS9z7rNR8o7j9WfyoJroazQPePgnD0gf7wQq9rb0iAixahRYkdKjoPoqgW+n7MDqX6DhHPOPi5gu4Tbf5Dj+Gs8yqtMATRrftki4VCfrts9QegIVevH98cp3Kd3TfcZwDgBqfQhcmw+cnwhkJQJerQHnyrT1EyEGUGBFSo+C6qsEQgH7izNARhzg4G7OURFTvAwHrs4DHv5hXM8xl2o8kKrYl3fYt7E1+xBLlDpTgbtr+HZPx4fx2xx9eYDl1Roo1wbwaFo6i/wJyYUCK1I6qNOAF+f49XJt8j/W2R9wrQEk3uJb3FTsa/i4R38Bz8KAmuMBl8qyDpfkIfoID6ie7sm5rUJPXgdk78r/sds68j5lwqWdC+DoQ9mVwnBwAzodBu6s5FPqLy8AaVHAo+38A+DtSxov5qsoCSnFKLAipUPsWUCTATh6Ay5VCz7etyMPrKL+1Q+s0p4DZ8cBkVv553d+BBrMAmp+SPuqmQNjvEbq6ld8tSbAi80rDQLqfAqUbWjZ8ZUWbrWApt/y61mp/I1KzHG+yCPmOF8ccv8XCqxIqUf/BUjpoL2NjTGZC99OfDuT3PsGRv7Ou3GnxwAKW17wHHcZuPAxr8tqsYp3cCfySLoPnH4PiNrPP7dxAAJHAHWm0EbZlmSnArzb8Q8AiD0D7GsBpDy27LgIsQLUboGUDnltvJwXnxAACiDhOv9nkfoMODIAODqIB1Vu9YCup4Du4UDL1XyV4ctwYF9L4Ox4IDPBTF9IKcE0wM1lwO56PKiyUQK1JvH+Ui1XUVBlbZwq8su0p7ylBSGlGAVWpORjLCdjZWxg5VCWF+MCQPhUYHdd4OE2QGEH1JsOdDvH71fYAFVHA71uAJWHAWDAre+BnXWAhzvM8dWUfAk3gX87AOc+ALKSeffvHpeAJosAJz9Lj44YovTmGVym4fsLElKKUWBFSr7EWzzLZOsIlG1i/OOELuz3fwHSYwH3hkDX00CD2XwvNW2O3kCbX4GQ/byGK/UxcKQ/n8aiporG0WQBV78GdjfkGUY7F6DZMqBTGFCmhqVHR/JjYwuoKvDrtK8gKeUosCIlnzAN6NFcPyDKT4Xu/FJhxxtIdj0NeDTO/zHlOwM9LvPtUBS2wJ1VwP1fTRp2qfLyIp9GvTgV0KQD5bsCPa8ANf7Hs4LE+qmys4mpVGdFSjcqXicln9T6KoF3B6DDX4BrdcCttvGPs1PxDXxtnYBL04Az/+PP7VJF2vOXFlEHgbBevCWGvTtfeRb4JrVHKG6cKgKxoIwVKfXorSAp+YztuG5IxT7SgiptdT7l9UFZicCxYVTUa0jUf0BYbx5U+XYBel0DqoygoKo4EurfaGUgKeUosCIl28tLvBga4B23i5KNLa+7si8DxJ4ErtD2ODqehWZnqlJ5k8+gvwFVeUuPiphKWBlIGStSylFgRUoWpgFiTgLhnwI7awN7sptHutUBlB5FPx7nAKD5Sn796pc5G0GXds/CgNCePKgq3x1o/wdgq7T0qEhhqLIDq1QKrEjpRjVWpPjTZAJPDwCP/wIe/c232hAo7ACfV4B6n1tufJWHAE928yL248OAHhd5Fqu0ij4ChPUE1Cm8SL3Dn7THXElAU4GEAKDAihR3WSnAoS45BeoAYOcKVOgBVOzHV/Y5uFlseKLmP/AxJkcAZ8YBbTZYekSWEX0UCO3O+1P5dgE67KCgqqTQngpkjOrkSKlFgRUpvjRq4PjQ7J5HrkDgG4BfX8An2PqmlezL8Hqrf9vzvlgVuvNMVmny/LhWUNWJgqqSRuhjpUkHMl4ASk/LjocQC6EaK1I8MQacGw88+otvdxK8C2i+HKjQ1fqCKkG5NkDd6fz6mTFA8gPLjqeoZKUCd9cCh7oBWUmAT0fexsJOZemRETnZKgFlOX6dCthJKUaBFSmern8D3F4OQMEzQd7tLT0i49SbBni2AjLjgePDedatpEqKAC5MAXZUBE6N5m0nfEL46j87J0uPjpgD1VkRQoEVKYbubwTCP+HXmywGKg2w7HiksLED2v7Gt2t5fgR4tN3SI5IX0wBP9gChvYC/q/IAOOMF4FQJaPgVELSLgqqSjFYGEkI1VqSYifoPODmSX685Eaj1oSVHYxqXKkCVkcCtZUDMieIVGObnzs/Ata+BpLs5t/l24dvSVOjJ+3qRko0yVoRQYEWKkbjLfGNjTSZQaRDQZKGlR2Q6j6b88sV5y45DLg+2AKff4dft3YAqo4DqY2jz5NKGmoQSQoEVKSZSHgGHugOZCUC59kDr9cV7c96yTfjly/N8+qw4fy3JD4HT7/PrNcYDjb4C7JwtOyZiGRRYWVbCbeDBZqDmeOtoM1NKFeO/5qTUyEzkQVXqY6BM7ZKxTN+tNl/NmJnAi7yLK6YBTrwJZMYBni14FpGCqtJLlT0VmEpTgRZxbR5w+QseXBGLocDKWj3YClxfbOlRWIdr84H4K3wfuZA9ltmaRm429oB7A379ZTGeDry+CIgO5cFUm9/410VKL8pYWVbGy+zLF5YdRylHgZW1Ov0ucOEjIDnS0iOxrNSnwI3sALPZcr73XknhkT0dWFzrrF5cAC5lbxXU9DvAtZplx0MsTyhez4wHMpMsO5bSSJ3GL7NSLDuOUo4CK2vENPwPEwCkP7fsWCzt8my+Ua9Xa6BiX0uPRl5iYHXOsuMwRVYK3/dQk8m3Dqoy2tIjItbAvgzfBQGg6UBL0KTzSzUFVpZEgZU1UqfmXM+It9w4LC3hFnD3J3690fySt/eYTgE7s+xYpAr/BEi4zqdnW/xU8n42xHTUcsFyKGNlFSiwskZZyTnXM0txYHVpGsDUvAdScemsLoV7PUBhB6THAikPLT0a4z3Zw3twAUCrdYCjl0WHQ6wM1VlZjlrIWKXmfxwxKwqsrJH2u43SGljFngUifwegABrNs/RozMPWkQdXQPGps0qLBk6O4tdrTgDKd7HseIj1oZWBlqPJzljRVKBFUWBljbQzVhlxFhuGxTCWs2VN4HDAvb5lx2NO2tOB1o4x4NTbQNozwK0u0LCEBrykcChjZTk0FWgVKLCyRupSnrGKOgA8+w+wcQAazLb0aMyrOK0MvLcWePwP/7m02QjYqSw9ImKNKLCyHDUVr1sDCqyskU7GqpQFVkwDhH/Kr1cfW7LaKxhSXDJW6nTg0hf8eoMvgbINLDseYr1oKtByhKnALKqxsiSjtrR59dVXJZ945cqV8Pb2lvw4gtJdY/VgK/DyAl+yXfdzS4/G/Mo24NvZpD7lH6rylh6RYRHr+T9KVQW+XQYheaGMleWoqcbKGhiVsdqxYwccHBzg5uZm1MeuXbuQlETN4Uym1l4VGGexYRQ5dQZfCQgAdaaUjtVmds5AmVr8urVOB2oygavZ9VS1pxT/7YSIeQntFtKi+e80KTrCVCDVWFmU0ZswL1261OgM1B9//GHygAh0fylK01Tg3Z+ApLuAow9Qa6KlR1N0yjYB4q/xwMqvp6VHo+/+b0DyfcDRG6j2jqVHQ6yd0ovX4WkygLSnJX8631po1ADL4tcpY2VRRmWsDh06BA8P4/dn27NnD/z8/EweVKlXGovXM5OAK9mF6vVnlK6NfD2a8ktrrLPSqIGrX/HrtT4C7JwsOx5i/RQ2fMoYoCahRUnoug5QHysLMyqwCgoKgp2d0ckttGvXDkql0uRBlXqlsUHojSV86sClGlD1bUuPpmhZ88rAyK1A4m3AwQOoPsbSoyHFBdVZFT2hvgowz1Rg1EHeX5AUSPKqwODgYGzYsAGpqRQRm43OVGCcxYZRZBLvANeya3gazgFs7C07nqJWthG/TIkE0mIsOhQdTANcncuv15oI2Ltadjyk+BACK1oZWHS0AytNOs82yyXjJXCoGxDaXb5zlmCSA6umTZtiypQp8PX1xTvvvIOTJ0+aY1ylW2nKWDEGnHqHp659XgEqDbL0iIqefRnAtTq/bk3TgQ+3A/FXAXs3oMYHlh4NKU6ElgvFOWOVFgM8O8TfYBQH2lOBgLzTgWkxvH4rPSanQJ7kSXJgtWjRIjx+/BgbNmzA8+fP0aFDB9SpUwcLFy7Es2fPzDHG0ke7xkqToftOpKS5+zMQHQrYqoCWpXgz37JWNh3IGHB1Dr9e4wPAwc2y4yHFS3GfCnwWCuyuCxx8BTjYEUiKsPSICpb7/4ScgVVprPstBJMahNra2qJv377YsWMHHj9+jKFDh2L69Onw9/dHv3798N9//8k9ztJFO2MFlNyVgSmPgQuT+fWGcwGXKpYdjyV5WFmj0Ce7gJfhgJ0LUOtDS4+GFDdOxbRJKGPAtW+A/zrxmk+Av/Hb3QC4s4rfb630MlYy1lnpzKIkyHfeEqpQnddPnz6NL774AgsXLoS3tzemTp0Kb29v9O7dG5MnT5ZrjKVP7sLDkvgOgTHgzBj+S+rZEqhRyptOWlMBO2PAlS/59epjAaWnZcdDih9VMcxYZSYARwcA4VMApgYqDwd6XALKtQeykoDT7/EaI2td6Zg7YyVnAbtOxooCq4JIDqyio6OxaNEi1KtXD+3bt8fz58+xefNm3L9/H7NmzcKqVavw119/YeXKleYYb+mgl7GKs8gwzOrBlux95+yBlqsBG1tLj8iyyjbml0l3Lf/zjvoXiD3Np2drTbLsWEjxJGasnhSPGqW4K8DeZsDDP/nfpOYrgNbr+QbwHQ8BjRcBNkrg6T5gVz0g4hfry17pTQXKmbGiwEoK43soZKtYsSKqVq2K0aNHY+TIkShXrpzeMS1atEDz5s1lGWCplPsXoqRlrNJigHPZxdB1pwHudS07Hmug9AScK/NGnC/DAZ9gy41FyFZVexdQ+VhuHKT4UpUHoOBd+9OeW/fr6P7G7AU0KYCTP9DuD8CrRc79NrZA7UlAhe7AiRHAizPAiTeBh9uA5j9az9eWu6hczv0CKbCSRHJgdfDgQbRv3z7fY8qUKYNDhw6ZPKhSL3fGqqQFVuc/5KtL3OsDdT619Gish0cTHli9OGe5wOpZGPD8CO+cXftjy4yBFH829nwHhbSo7D0mrST40MYYcO5D4NZS/rlvZ6DNxry30nKrDXQ5DlxfAFyeCTz6i+/v2eWkdSy60ZgxY0XF65JIngosKKgiMhBexDbZTVZL0gv58S6+RYrChk8B2jpYekTWw9IrA5kmp/t9ldE50zmEmMLaVwY+O5gTVNWdBgTvKXh/Uhs7oO5nQNczfM/M2NPACytpmmnOGivKWEkiOWMF8L0At27disjISGRk6G6yef68FRTfFndCxkpVAUiOsHzNjVwyE3gBKMBrdzxpuliHJVcGvrjAFxPEngIUdkBdyiSSQnKqyIMOa10Z+Cx7VqXycKDhl9IeW7Yh4P8af5N4d7V1/C3LPRUoa8aKVgVKITljtXTpUowaNQre3t64cOECWrRoAU9PT9y7dw/du1NXVlkI7w6csvfbKikZqwuf8D+yLlWB+rMsPRrrI2SsEm7yvROLQmYCnw7Z14wHVXauQMufaeNcUnjW3iQ0+gi/9Aky7fFV3+KXDzbpl29Ygt5UINVYWYrkwGr58uVYtWoVli1bBgcHB0yZMgUHDhzA+PHjER9fQgIAS9POWAHFv4+VJhO4Mge4k71StOXPtJmvISqf7J85A+Iumve5GOMrM3fWAm5+x6cBKw0Get0Aqoww73OT0sGapwLV6XwaD+DtFEzhHcR772UmAJF/yDc2U+kVr1ONlaVIDqwiIyPRpk0bAIBKpUJiYiIAYPjw4di0aZO8oyuNGMt5ETuW55fF+YX8MhzY1wK4NJ1/XvNDy654s3ZFUWeVcBs41BU49jovvnWpBoTsA9ptzsmSElJYQo2eNfZ9ij3DG2o6eudsJyWVwobXIgJ8OtDSqN2C1ZAcWPn6+iI2NhYAEBAQIO4VGBERAWZtfT2KI00Gb04HaE0FxllsOCZTZwCXvgD2NufBlYMH0PpXoMliS4/MuomNQs+Z5/wPtwO76wFRB/jiiPozgZ6XgfJdzPN8pPQSN2K2wozV8+xpwHLtC7eir8pIHmA9PwIk3JJlaCajBqFWQ3Jg9corr+Cff/4BALz11luYOHEiOnfujMGDB6N///6yD7DU0X4BF9epwNizwN6mvB8SywL8XwV6XgUCh1nHsmRr5tGUX5qjgJ0x4OJUHrz7dgJ6XgHqz+CrmwiRm3aNlbW96Y7WCqwKw8kPKJ9dW2zprJU5N2GmjJUkklcFrlq1ChoN76T7/vvvw8PDA0ePHkXv3r3x/vvvyz7AUkeor1LYAcrspb/FZSpQncb7u1z/htfsKMsBzX8A/AdQQGUsIWMVf403+LNTyXfu2FO8MN7WCWj/J2DvKt+5CclNmArMSub/jK1lI2+NGog5xq97y9A+qOpbfG/NiPVAwzm8h5clmLXdAq0KlEJyxsrGxgZ2djnx2KBBg7B06VKMHz8eDg7m60n08uVLDB8+HG5ubnBzc8Pw4cMRFxeX72NGjhwJhUKh89GqVSuzjVEWwi+DnTNgn/2HqLgEVidGAtfm86AqYAjPUlUaSEGVFCo/HpAyNRB3Wd5z31vHL/1fo6CKmJ+dM2Dvzq9bU8uF+Ms8OLBzBdwbFv58fr14rVbaM+DJ7sKfz1RCxkoI7KhBqMUYlbG6dOmS0Sds0KCByYPJz9ChQ/Ho0SPs3bsXAPDuu+9i+PDh4rRkXrp164a1a9eKn5sz+JOF8AK2c8oJrIpDHyvGcv6otP4FCHzDsuMprhQKnrV6uo9PB2pvrVEYWanAg838epWR8pyTkII4VQTi4/h0oFsdS4+GE6cB28izR6mNPRA4gmfq764GKvYt/DlNIWSsHMoCadHUINSCjAqsGjVqBIVCAcYYFAVkH9RqtSwD03b9+nXs3bsXJ0+eRMuWLQEAP/30E1q3bo2bN2+iZs2aeT5WqVTC19dX9jGZjZBytXUGHNz59cx4HrhYc+YnPRbISgSgACoNsPRoirey2YGVnCsDH/3FX0fOAbQqkxQdp4pA/BXrWhkoFq63k++cVUbzwOrJLiDliWVW1+YOrOSssaLidUmMmgqMiIjAvXv3EBERgW3btiEwMBDLly/HhQsXcOHCBSxfvhxVq1bFtm3bzDLIEydOwM3NTQyqAKBVq1Zwc3PD8ePH831saGgovL29UaNGDbzzzjuIjo42yxhlk2UgY8XU8qZ1zSHpHr908qNi6MIyx8rAiHX8MnAEX8VESFFwsrImoYzJV7iuza0WUK4tL4OIWC/feaUQpgIdPPiludotaDL0e2YRHUZlrAICcrowDxw4EEuXLkWPHj3E2xo0aAB/f39Mnz4d/fr1k32QUVFR8Pb21rvd29sbUVFReT6ue/fuGDhwIAICAhAREYHp06fjlVdewblz56BUKg0+Jj09HenpOS+ahIQijs7FjJUTr1FQ2PLAKiOef26thMDKpYplx1ESeDTjl3GX5ClgT3kEPN3Prwe+WbhzESKFSmi5YCUZq6S7fGNoG3vAU6ZpdkHVt4Hnx/h0YJ1Pi36GQTtjBZiv3QLAs1a25eQ7fwkj+a3r5cuXERgYqHd7YGAgrl27JulcM2fO1Csuz/1x9izf4NLQFGRBU5ODBw9Gz549Ua9ePfTu3Rt79uzBrVu3sGvXrjwfM2/ePLFA3s3NDf7+/pK+pkJTaxWvKxSAfRn+ubX3skqmwEo2zgGAow9vVSFH24WIXwAwwLsD4Fq18OcjxFjWlrESslUezeVdcQvwhTp2rjx4iw6T99zGyB1YyZqxyrVlDxWw50tyYFW7dm3MmTMHaWk5SzvT09MxZ84c1K5dW9K5xo0bh+vXr+f7Ua9ePfj6+uLZs2d6j3/+/Dl8fHyMfr7y5csjICAAt2/fzvOYqVOnIj4+Xvx4+PChpK+p0IQXsLDli7Cqxtp7WQkZK2cKrApNoQC8slevxpws3LkYy1kNGDiycOciRCpr29ZGqK+So81CbnbOQMDr/LolelrpTQWaoY+VUEZAdVb5ktzHauXKlejduzf8/f3RsCFfqnrx4kUoFArs3LlT0rm8vLzg5eVV4HGtW7dGfHw8Tp8+jRYtePr21KlTiI+PF7fXMUZsbCwePnyI8uXL53mMUqnMc5qwSGi3WwB475dkWP87BJoKlJdXa15wHnOicOeJOQkk3uJTy7SogBQ1oUmotUwFmqO+SlvVt4G7PwEP/wAyvs9ZgFQUzDUVqMnk2XMAUHrzqVQKrPIlOWPVokULREREYO7cuWjQoAHq16+Pr776ChEREWLQI7fatWujW7dueOedd3Dy5EmcPHkS77zzDnr16qWzIrBWrVrYvn07ACApKQmTJ0/GiRMncP/+fYSGhqJ3797w8vKy7g7xaq0aK6D49LKiwEpenjJlrISi9UoDqXcVKXpCxio9Rr+BZVFLjQKS7gBQ8EJzc/BsDrjV41/r/Y3meY68qM1UvK4doKmyV9hTYJUvozNWn332Gfr164cWLVrAyckJ7777rjnHpee3337D+PHj0aUL39OsT58+WLZsmc4xN2/eRHw8D0BsbW1x+fJlbNiwAXFxcShfvjxCQkKwZcsWuLpa8T+Y3Bmr4tDLSp0BpGRPmVJgJQ/PZnzhQupjPo0i/IOSgnpXEUtzKMtXCavTgNQnlv37IEwDutc3XyZJoeCd2M9P5NOBNcaa53kM0ZgpY6XWmgYsbruBWIjRgdXTp0/Rq1cv2Nraonfv3ujbty86depUZNNmHh4e+PXXX/M9RnsTaJVKhX379pl7WPLLXWOl3cvKWqVE8mXGtk68AzEpPDtnwL0B8PICz1qZMo33aAd/Z+lcmReuE1LUFAq+MjDpDn+DYMnAytzTgILKbwDhU/jCk5fhQNlG5n0+gV7xeqo8/Q+FAM1WqwUQZazyZfRU4Nq1a/Hs2TNs3boV7u7u+Oijj+Dl5YVXX30V69atQ0xMjDnHWXoI7w5sc2WsrDmw0p4GtOYmpsWNWMBuYp3VvewdB6h3FbEksYDdwnVW5ixc1+boBXgH8+ty9qIriDAVqPTQuk2G6VftN/sUWBlF0l9bhUKB9u3bY8GCBbhx4wZOnz6NVq1a4aeffoKfnx86dOiAhQsX4vFjKylULI70VgUKU4HFJLAi8ilMnVXyQyDqX369CvWuIhZkDS0XMuKBlxf5dXNnrICcOqfMJPM/lyB3xgqQp85K+82+2P6HAqv8FOptbO3atTFlyhQcO3YMDx8+xIgRI3DkyBFs2rRJrvGVPoZWBQJWnrG6yy8psJKXkLF6cY7XsUlxX+hdFUQ/F2JZTlbQJDTmOADGfxeKYrsZexd+qU7O/zg5CTVWds6ATfaeuHLUWensBkKBlTEkt1vIi7e3N9566y289dZbcp2ydMrKvSrQnV9ac/E6ZazMw7U6f+eb8QKIu8hXHBlDu3dVlVFmGx4hRlFZQcaqqOqrBEIpR1FlrBjLmQq0UQK2quytZ2ToZaXWrrESAisrfqNvBSQHVmlpafj+++9x6NAhREdHQ6PR6Nx//ryMG8eWRurimLGiwMoshEahT3bzOitjA6uYE0Dibf4a8n/NvGMkpCDW0CS0qOqrBELGKnfHcnPRZALIXrxl68izS5nx8kwFUsZKMsmB1ejRo3HgwAEMGDAALVq0yHdLGWKCvGqsrDWwYowCK3PyFAKrk0DN8cY9RshWVRqY8weeEEuxdJNQdRoQe5pfL6qMlfDGOKuIMlYarU2RbR1zZjzkmApU06pAqSQHVrt27cLu3bvRtq2ZGqyVdrkzVtYeWGW8yPklc65s0aGUSOVa80tjC9izUoDILfw6bWFDrIFYY/UU0KgBG9uiff7YM3xazNGbT68XBTshY1VEgZX26j8bh5w35rJkrLRXBVLGyhiSi9f9/Pysu8FmcZe7xkroY2WtNVZCtkpVQf5NTQnfLBYKIDkCSNXfL1OP2LsqsOimPQjJj6MPb3bL1ECaEa9huT3Xqq8qqhkWuyKeChQCKxsH3lrFNvtvcZYMNVbaC6oosDKK5MBq0aJF+OSTT/DgwQNzjIfk1Xk9M4E34bQ2NA1oXg5ugFsdfj3WiKyVWLROvauIlbCxBVTZ+7Naos6qqAvXActNBdo6Zl/KmLGi4nXJJP/lbdasGdLS0lClShW4urrCw8ND54MUklqrUBDICazAiu6XVAoKrMzPy8h+Vtq9qwKpdxWxIiqhgP1h0T6vRp3dagFFm8G1WMYqeycUOxlrrKh4XTLJNVZDhgzB48eP8dVXX8HHx4eK1+WkUef8ggjLdW0dARt7vuojIz7nhW0tKLAyP6/WfN+xggIrsXdVMOASWBQjI8Q4zpV4xrWoA6u4SzwIsHMF3BsW3fOW2IxV9ht9TQZv72BbNFvaFTeSA6vjx4/jxIkTaNiwCF+kpYV2zxHhHYdCwXtZpT8HMuMA+FtgYPmgwMr8hA7ssacBTRZgY+DXVqd31ciiGhkhxnHK/ruVHFm0zyvWV7Up2qJ5S2eshBorOfpYaWes7LRWGWcmALblCn/+EkjyVGCtWrWQmirDD4vo0/4lFN55ANa9rQ0FVubnVptnKtUpQPwVw8fEHKfeVcR6OVfil0WdsbJEfRVQ9BkrcaYj+/+GnFOB2hkrG9uc4IrqrPIkObD6+uuv8dFHHyE0NBSxsbFISEjQ+SCFoP0C1i48ttYmoZpMICX7HSgFVuajsAE8W/LreU0HUu8qYs2EjFVKEWasMpOAp3v4dd+ORfe8gAUyVmacChTbLQgLqqjOqiCSpwK7desGAOjYUfeFyhiDQqGAWq2WZ2SlUe7moAJr7WWVHMlXKto6Ao6+lh5NyebVCog6wAOr6u/r3peVAjyg3lXEilkiY/XwT/431aVazhuToiK8udFk8H0+bR3M+3zCPoG2Zi5eB3hglfqEAqt8SA6sDh06ZI5xEEC/1YLAWntZaU8D0iIG8xLqrGJO6N/3cDuQlUi9q4j1csoOrFKjiibQAICIDfwy8M2i//tkq/U3XJ1s/q9XrLESMlYy1lhpz6QA1H3dCJIDq6CgIHOMgwA5O6HbFpOMlRBYOdM0oNl5Zb/jTrwFpMcCSs+c+yLW8UvqXUWsldKLZ7bVaXxrG3OvWk1+CDz7j18PHG7e5zLE1iFnNXdWMuBQ1rzPJ04FFlHGCqDAKh+SAyuAb8R86dIlg5sw9+nTR5aBlUp5ZaysPbCi+irzU3oCrjV4YBV7GqjQnd+eHAlEHeTXqXcVsVYKBa+zSrzNX7PmDqzu/wreeiQIcKls3ufKi60zoInjtV7mpslVvG6udgsANQk1guTAau/evXjzzTcRExOjdx/VWBVSQTVW1rYqkAKrouXVigdWMSdzAqsI6l1FigkhsDJ3nRVjutOAlmLvwlvkqIuggF3IWNmYYVUgZawkkzxvMG7cOAwcOBBPnz6FRqPR+aCgqpDEdwZ51FhlxhXlaApGgVXR8spVZ0W9q0hxIhawm3ll4IuzQMINXmdUaYB5nys/wsxDUWSs1LmK18UaK1oVaAmSM1bR0dGYNGkSfHx8zDGe0o0yViQ/Xq35Zewpvhoz5gSQdId6V5HiQWwSauaM1b31/LJif8vuVFGULRdy97ESpwKpeN0SJGesBgwYgNDQUDMMheS9KtAKa6wyXuZk0GgKqmi41eN/3DIT+Dty6l1FihOnIshYqTOAB5v4dUvXHBZlk1CNmaYCNVm8ZYT2OSljVSDJGatly5Zh4MCBOHLkCOrXrw97e3ud+8ePHy/b4EqdrGK0KlDIVjn66mfYiHnY2AGezYHoMCDqP+pdRYoXsUmoGTNWT3YDGS8AVXnAt5P5nscYYsbKElOBMhWva2e8qHjdaJIDq40bN2Lfvn1QqVQIDQ3V2YRZoVBQYFUY6mLUx4qmAS3DqzUPrK7Ood5VpHgRaqzMuV9gRPY0YOU3inZvQEMsORUoV8ZK+/HCuSljVSDJgdW0adMwe/ZsfPrpp7CxoZ45sipOndcpsLIMoYA97Rm/pN5VpLgQMlaZ8fyfstz1T2kxwJNd/LqlpwEBC00FyrwJs842a9lJFAqsCiT5L3JGRgYGDx5MQZU55JWxEgKrrCRAYyUrLymwsozcW3NYwz8QQoxh75LTKNMcBewPNvOGnGWbAO715D+/VNaQsVKn8NXDpsq9IhCg4nUjSI6ORowYgS1btphjLKSgGisAyLKSFzMFVpah8gWcK/Pr1LuKFDfmrLOyht5V2iyRscq9KpBpcorPTZG7hxVANVZGkDwVqFarsWDBAuzbtw8NGjTQK15fvHixbIMrdfJaFWjrwFO76lReZ2Xu7RGMQYGV5fj1Bm59D9T4n6VHQog0TpWAuEvyrwyMvw68OAMo7IDKQ+Q9t6kskbGyybWlDcCzVkJRu+Tz5mq1ANBUoBEkB1aXL19G48aNAQBXrlzRuU9BG/EWjqEXscDejQdW1vAuQZMFJD/g1ymwKnqNFwDVxwJutSw9EkKkcTZTLyshW1WhO+DoLe+5TVWUGavcU4E29oDCFmBqICvV9Dfj+WWsNBm847upQVsJJjmwOnTokDnGQQDD89kCBzcgLco6moSmPOS/sDZKvqyZFC1bRwqqSPFkjl5WGnX23oCwnmlAICdjVSR7BebahBngb9CzEgvXcsHQm30715zrmQmAbTnTz19CUQW6NTH07kBgTSsDxWnAQFqRRggxnjlqrKJDgZRHgL074NdLvvMWlhBYFclegcJUoKPW88vQcsHQ/yQbW62gkaYDDTHqv+Krr76KhATjv4HDhg1DdHS0yYMqtfIqXgf4Hw3AygIrmgYkhEhgjl5WwhY2Aa/nTIVZgyLdKzBX8TogT5NQdR6zKFTAni+jAqu//voLz58/R0JCQoEf8fHx+Oeff5CUVAQvppImr3YLQM62NtbQJJQCK0KIKcSM1SO+Yq2wMpOAh9v4dWuaBgRytpkqyoyV9lSgnQy9rLLyqPulAvZ8GVVjxRhDjRo1zD0WkleDUMBKpwIpsCKESODkB0DBa4LSngMqn8KdL+oAf0PqUjWnea61sC3CjJUmV/E6kBMMyT0VCFBgVQCjAitTCtb9/PwkP6ZUYyz/jBUFVoSQ4s7Gni94SX3CC9gLG1jFHOeXvp1yOoNbiyLNWOXahBnQbRJq8nnzylhRk9D8GBVYBQUFmXscRJOekxo3VGMl7hdIgRUhpBhzqpQdWD3km4oXRsxJfmlt2SqgiGusDEwFUsbKYmhJl7XQfvHnOxUYVyTDyVNGHN89HuAbABNCiBRiL6tCFrCrM4AXZ/l1r9aFO5c5CCvnNOm89585GZwKlKHGKs+MFRWv54cCK2sh1FfZ2POP3ITAytIZq6QIfunonZPqJoQQY4m9rArZciHuEs/UOJQFXKsXflxys9P6+2jO7utMw/dIBHI6rwMytVsoaFUgZawMocDKWojvDAzUVwE5qwIt/Q5BmAZ0pmlAQogJnGTKWMWc4Jeerayzn56NA+9+Dpi3+7pQXwWYod0CTQWawgpfjaVUfisCAevpY0X1VYSQwnCWKWNlzfVVAC+mL4r9AjV5BFZyNgil4nVJTAqssrKy8O+//+LHH39EYmIiAODJkyfUu6ow8tqAWWAtfawosCKEFIbYy0qmjJU11lcJimK/QKFwHQq+CbVAzhqrPDNWVGNliOS9Ah88eIBu3bohMjIS6enp6Ny5M1xdXbFgwQKkpaVh5cqV5hhnyZdf13XAetotUGBFCCkMIWOVGsUL0G0dpJ8j9RmQHAFAAXi2kHV4siqKjJX2BszaLSfkmAqkBqEmkZyxmjBhApo1a4aXL19CpVKJt/fv3x8HDx6UdXClSn49rICcwEqdmlOoaAkUWBFCCkNZLrvImgGpj007R2z2NKBbnZxsvjUqioyVMBWoXbgOyDMVSDVWJpGcsTp69CiOHTsGBwfddxkBAQF4/NjEXxJiRI1VmZzrGfGAo5f5x5SbRg0k3+fXKbAihJhCoeDTgUl3eJ2ViwltW8T6KiueBgS0MlZFMBWYe59EORqE0qpAk0jOWGk0GqjVar3bHz16BFdXV1kGVSoVlLGysdPaUTyuSIakJ/URwLL4ahdVBcuMgRBS/BV2M2axvspKC9cFYsaqiKYCtYkNQs2xVyAVr+dHcmDVuXNnfPvtt+LnCoUCSUlJmDFjBnr06CHn2EqXgmqsAMvXWYmtFioDNraWGQMhpPgTC9hNWBmoyQJiz/DrxSVjZc7u68JUoG2uqUCxeN2cU4FUvG6I5KnAJUuWICQkBHXq1EFaWhqGDh2K27dvw8vLC5s2bTLHGEuHglYFAryWIPWx5ZqEJt3nl86VLfP8hJCSoTAZq7jL/B++vRtQppa845JbUewXKGSsbPKYCjS1xopptLJheQRWmgzeRyt3UFfKSQ6sKlSogPDwcGzatAnnz5+HRqPBW2+9hWHDhukUsxOJ8to6QJulM1bp0fxSVd4yz08IKRkKk7ESG4O2tM7GoNpsi2C/QKFBaF5TgaZmrLTbNOTOWNlplf1kJgC25Ux7jhJKcmAFACqVCqNHj8bo0aPlHk/plVeRoDahSailelmlPeeXjvRLRAgpBHFbGxMyVtbeGFSbfVE0CDWwATOgVbxuYo2VdqbLNlfSxMaW/6/KSuaBFf1P0CE5sPr7778N3q5QKODo6Ihq1aohMJA255Usr13EtVl6W5u07IyVkn6JCCGFIG7EXIiMlbXXVwE5GauiWBWYeypQCIZMnQoU635VhjOD9m45gRXRITmw6tevHxQKBRhjOrcLtykUCrRr1w47duxA2bJlZRtoiVccitfTszNWFFgRQgpDmArMjAMyEwF7I1eUp8XwNg0A4NXSLEOTlX1RtFvIq3i9sFOBBbzZty8DpD6hAnYDJE9QHzhwAM2bN8eBAwcQHx+P+Ph4HDhwAC1atMDOnTtx+PBhxMbGYvLkyeYYb8lVULsFICewslTxejpNBRJCZGDvmlPaIKXOSmgMWqYW4FAM3rhbst1CYYvX82q1IKBeVnmSnLGaMGECVq1ahTZt2oi3dezYEY6Ojnj33Xdx9epVfPvtt1R/JVVBDUIBwMGdX1qqj5VQY6X0tszzE0JKDudKQFwcXxnoVse4xxSn+iqgaBqEip3X8wisWBbfrcPGXtp5jclYARRYGSA5Y3X37l2UKVNG7/YyZcrg3j3e56h69eqIiYkp/OhKEykZK0ukXhmjjBUhRD6mrAwsTvVVQBHvFZhHHyvAtAJ2yliZTHJg1bRpU3z88cd4/vy5eNvz588xZcoUNG/eHABw+/ZtVKxYUb5RlgZSaqwsMRWYlZzzy0k1VoSQwpLay0qjBmJP8+uexSVjVYTF67mnAm2UALI3ZTZlOrDAjJWFa36tmOSpwJ9//hn9+vVDxYoV4e/vD4VCgcjISFSpUgV//fUXACApKQnTp0+XfbAlmrENQgHLvJCFbJWtY/5jJIQQY0jNWMVf5QGKnSvgVtd845JTUWSs8tqEWaHgQVFWsmkF7OKb/Tz+3lPGKk+SA6tatWrh2rVr2L9/P27dugXGGGrVqoXOnTvDxoYnwPr16yf3OEs+Y2qshGJPSwRWaVorAhWKon9+QkjJIrWXlVC47tmi+GypZcmMFcBnQLKSTdsvsKAWQBRY5UlSYJWVlQVHR0eEh4ejW7du6Natm7nGVfqIndeNyFhZokEotVoghMhJai+r4rLxsrYirbEyFFgVYr/AgnYDocAqT5JqrOzs7BAQEAC1Wm2u8ZReRmWsrGAq0JFWBBJCZCBmrB7yxTEFEVcEFpPCdSAnY6VO5TVi5pDXVCBQuJYLlLEymeTi9WnTpmHq1Kl48eKFOcZTOmmy+GaWgHGrAjUZOe9Sigp1XSeEyMnJD4CCBwbpz/M/Nv0FkHCDX/csBo1BBULGCjDfRswFTQUCZspYUfF6XiTXWC1duhR37txBhQoVEBAQAGdn3UDg/Pnzsg2u1NB+0ee7KtAVfJUH4ysDVQZ+kcyFWi0QQuRkY883dE99wlcG5pcNF1YDulYHHL2KZnxysHXk28EwDZ+VsNdvVVRomjw6rwOF2y+QMlYmM2lLGyIzMU2rMPyuQ6Cw4S/mzHjeJFTlUxSj49KoxooQIjMnfx5YpTwEPJvlfZxQX1Vc2iwIFApeN5uVCGQmAaqCHyJZXnsFAoXbL1AsT6FVgVJJDqxmzJhhjnGUbtr1VQWtuLN344FVUfeyoowVIURuzpWA2FMF97IS6qvKFaP6KoG9Cw+sLDEVaGfOqUAKrPIiucaKmIExXdcFluplRdvZEELkZkwvK6bhwRdQ/DJWQM5K70wztVzIaxNmICcoouL1IiU5Y6VWq7FkyRJs3boVkZGRyMjI0LmfitpNYEzXdYGlelmlZxevU8aKECIXY3pZxV/nf+9snQD3+kUzLjnZm7nlgiafqcDC1FgZW7yuSefBnaHArpSSnLGaNWsWFi9ejEGDBiE+Ph6TJk3Cq6++ChsbG8ycOdMMQywFjOm6LrC3UC8rqrEihMjNmF5WYmPQ5oCN5FyA5Zm7SaiYscpnVaA5MlZ2rjnXKWulQ3Jg9dtvv+Gnn37C5MmTYWdnhyFDhuDnn3/GF198gZMnT5pjjCVfQe8MtFliKjArJWeMlLEihMjFmIxVcdt4OTexSai5Aqs8NmEGzNsg1MY2J2ikwEqH5MAqKioK9evzdKyLiwvi4/k/+F69emHXrl3yjq60KGj1hTZL9A4RCtdtHHTfpRBCSGEINVapTwFNpv79Eb8AERv49XJti25cchIzVmaeCsyveN0cqwIBqrPKg+TAqmLFinj69CkAoFq1ati/fz8A4MyZM1AqaY7VJAWlXLU5uPPLolwVmKbVdZ32CSSEyMWxXHbHcAakPM65nTHgylzgxJs84Ko0GKjQw2LDLBSzZ6zy6bxua8Y+VoDWG30KrLRJDqz69++PgwcPAgAmTJiA6dOno3r16njzzTcxevRo2QdYKkgqXhdeyHFmG44e6rpOCDEHhY3+ykBNFnD6PeDSNP557Y+Bthv5scWRufcLtFS7BUArY0Xd17VJrgT8+uuvxesDBgxAxYoVcfz4cVSrVg19+vSRdXDa5s6di127diE8PBwODg6Ii4sr8DGMMcyaNQurVq3Cy5cv0bJlS/zwww+oW7eu2cZpEintFiw5FUiBFSFEbs7+QNId3ssqMwk4Nhh4shuAAmj2PVDjf5YeYeGYu3g9v6nAQjUINSZjRVOBhhT6LUCrVq0wadIkswZVAJCRkYGBAwdizJgxRj9mwYIFWLx4MZYtW4YzZ87A19cXnTt3RmJiohlHagJjNmAWiKsCLRBYUeE6IURuQgH7izPAwWAeVNk6Au3/LP5BFWDejJUmi/f5AgqYCpQYWDEmMWNFgZU2k9au3rp1C6GhoYiOjoZGo9G574svvpBlYLnNmjULALBu3TqjjmeM4dtvv8Xnn3+OV199FQCwfv16+Pj4YOPGjXjvvffMMk6TSGoQ6s4vizJjRa0WCCHmIkwF3vyOXyq9gKB/AK9i2AzUEHNmrIRpQKCA4nWJNVba56WMlWSSA6uffvoJY8aMgZeXF3x9faHQKmZWKBRmC6ykioiIQFRUFLp06SLeplQqERQUhOPHj+cZWKWnpyM9PV38PCGhCF4wptRYFWUfK8pYEULMxblSznWXqkDIXsC1muXGIzdzFq9rcv5XGcxYmVpjpX18vhkrC+0EYuUkB1Zz5szB3Llz8cknn5hjPLKJiooCAPj46G5U7OPjgwcPHuT5uHnz5onZsSIjpUGoJfpYicXrtJ0NIURmXm0AhR1vANrhr5L3Bs6c7RaEzJLCjveVys3UGithrDZKw+cVUMbKIMk1Vi9fvsTAgQNlefKZM2dCoVDk+3H27NlCPYciV3sAxpjebdqmTp2K+Ph48ePhw3w6AsvFpFWB8XwevChQxooQYi7udYHXngOdj5XMvzFCxsocewXmtyIQML3GytgWQBRYGSQ5YzVw4EDs378f77//fqGffNy4cXj99dfzPaZy5comndvX1xcAz1yVL19evD06Olovi6VNqVQWfT8uU2qsmJo/zpjHFBbVWBFCzEn4u1YSCXsFqs1RvJ7PBsyA6Q1Cjd0NhAIrg4wKrJYuXSper1atGqZPn46TJ0+ifv36sLe31zl2/PjxRj+5l5cXvLy8jD5eisDAQPj6+uLAgQNo3LgxAL6yMCwsDPPnzzfLc5pMyqpAWydAYcsDq4y4ogmsqN0CIYSYxlbY9sWMGStDGzADpjcINTZjZUeBlSFGBVZLlizR+dzFxQVhYWEICwvTuV2hUEgKrKSIjIzEixcvEBkZCbVajfDwcAA80HNx4e8IatWqhXnz5qF///5QKBT48MMP8dVXX6F69eqoXr06vvrqKzg5OWHo0KFmGaPJpNRYKRR8OjDjRXadlZ9ZhwZ1Wk7RZUlM0xNCiDmZM2NV4FRgdo2VJh3QqPOvl9I5r5EZK0vU/BYDRgVWERER5h5Hgb744gusX79e/FzIQh06dAjBwcEAgJs3b4p7FwLAlClTkJqairFjx4oNQvfv3w9XVyvb704tocYKyAmsiqKXlTANaGOfU99FCCHEOHZmzFgZOxUI8KyVjYtx5zX2zT5NBRpkUh8rS1i3bl2BPaxYrmJuhUKBmTNnYubMmeYbmBykZKwAXo+QjKJ5l5CutZ0N7RNICCHSCMXr6hTezFPOrXkKnArUul2dkpM9K4ix5SkUWBkk+Sc8YMAAnW1tBN98841sqwVLHSk1VkDR9g6hwnVCCDGd9htmU7aWyY+6gIyVwiZnOlBKnRUVrxeK5MAqLCwMPXv21Lu9W7duOHz4sCyDKnWkrAoEcua1i6JJKLVaIIQQ09mqAGRn++VuElpQjZX4/JAW1Eltt6BJzwnyiPTAKikpCQ4ODnq329vbF02X8pKGsZwXsZQaK4AyVoQQYu0UNlptD2QuYNcUMBUImNZ93diMlbAqEKCslRbJgVW9evWwZcsWvds3b96MOnXqyDKoUkWdBiC7NszYjJW9O780JbBKigD+DQIe/W3c8WLGirquE0KIScy1rU1BU4FATnBkjoyVja1WcT4FVgLJxevTp0/Ha6+9hrt37+KVV14BABw8eBCbNm3C77//LvsASzxj92TSJk4FmhBYRf4BRB8GbByAin0KPj5Nq3idEEKIdHYuAJ7Jn7EyZirQzoReVlLKU+zL8K+LAiuR5IxVnz59sGPHDty5cwdjx47FRx99hEePHuHff/9Fv379zDDEEs7YPZm0CRmrjBfSny8lkl8m3jbueKqxIoSQwhH3C5Q5YyW0WzC0AbPApBorKdusFbKAPfUZcHcNoMk07fFWyKR2Cz179jRYwE5MYGzKVZtTdlPQFBP2MUzO3oA6OZK/28nvnQ5ANVaEEFJYZpsKNKZ43YQaKyn/l8Tu6ybW/F7/BrixCHiyB2hfMma9TGqoERcXh59//hmfffYZXrzgWZPz58/j8ePHsg6uVJDaHBQAnAP4pRAkSZGcnbECA5LuFXw8bWdDCCGFI2asLDgVKCVjZWzxOqDVfd2EjFVqFHB7Ob9edbT0x1spyRmrS5cuoVOnTnBzc8P9+/fx9ttvw8PDA9u3b8eDBw+wYcMGc4yz5JLaHBTICaxSH/P0qY19/sdrE6YCASDxDuBWwIIDmgokhJDCMVfGyqipQBNqrKRkrAozFXhtAR+XZ0ugfDfpj7dSkjNWkyZNwsiRI3H79m04OuZEyd27d6c+VqaQ2hwUABx9ePE50wApErKEmYlAxsuczwuqs1Kn5/yy0KpAQggxjTVkrMzRbgEwPbBKfQrcWcGv159Zonb2kBxYnTlzBu+9957e7X5+foiKipJlUKWK1OagAO+L4lSJX5cyHZgcqft5QYGVkK1S2OUUzBNCCJFGyFjJvV+g2RuEGvF/yc7EwOrafD5+z1ZA+a7SHmvlJAdWjo6OBhuB3rx5E+XK0XSRZFJWX2gzpc4qRWJgJRaue5WodxOEEFKkhD361HI3CDViKtCkjJWEmRR7E4rXU54At1fy6w1mlbj/L5IDq759+2L27NnIzORLIxUKBSIjI/Hpp5/itddek32AJZ4pNVaAaYGVcKzSi18am7Gi+ipCCDGdrdBE04KrArNMqLEyV/H6ta95UOjVBvDtbPzjignJgdXChQvx/PlzeHt7IzU1FUFBQahWrRpcXV0xd+5cc4yxZCtsxirFhKlAn47Zj32Y/y8btVoghJDCEzJWstdYGdF5vTA1VuYoXk95DNxZxa+XwGwVYMKqwDJlyuDo0aP477//cP78eWg0GjRp0gSdOnUyx/hKPlNqrIDCTQV6NAGe7uWp26S7gHs9w8enZ3ddp8J1QggxndkahBqxV2BhaqyMecMvtcbq6jyerSrXLudNfgkjKbDKysqCo6MjwsPD8corr4hb2pBCMGVVIFC4qUDnAMC1OvDiLJ8OzCuwoowVIYQUXnFqEMqY+TJWKY+Auz/x6/VLZrYKkDgVaGdnh4CAAKjVanONp/QpdI1VJG+7YAxhKtCpEg+sgPzrrKg5KCGEFJ7Z2i1ImQo0ssZKk5HzP8XYvQIB44rXr87j5/fuAPiEGDeeYkhyjdW0adMwdepUseM6KSRTOq8DgFNF3nZBk56zUXJ+NFm8oSiQk7ECjAusqHidEEJMZ7YGoVKK143MWGkHf8I0Yn6MLV5Pfgjc/ZlfL8HZKsCEGqulS5fizp07qFChAgICAuDsrBvRnj9/XrbBlQqmZqxs7AGVHy9AT34AqHzzPz71CcDU2Y/zNS6woqlAQggpPDtzFa8LNVZGbMJs7FSgcJyNvXG7ehg7FXj1q+xsVTDgE2zcWIopyYFVv379zDCMUszUGiuAZ56EwMqrZf7HCtOAquxMl1GBFRWvE0JIoZmreF2cCpRxr0AphetATmClSefjMTQtmfwAuLeaX28wy7jzFmOSA6sZM2aYYxyll7h1gMSMFcADq+dHjStg1y5cB3ICq9QnPLgzlDGjGitCCCk8c2WsjJkKlFpjJaVwHQDsXHOuZyYAtgb+X1z9iu9r6/MKr68q4STXWBGZFTZjBRgXWAmtFpyzt8JRegAOHvx64l3949UZOcWIVGNFCCGm0y5eN3axkTHUUjZhNlPGysYu5+vLPR3IGHDjO63aqpnGnbOYo8DK0kytsQKkBVbaKwIF+U0HpsfwS4Ut4FBW+tgIIYRwQsYKzPjMkTHMsVegKb0VDdVZaTKBM+8D5z/kwWT1MYB3e+PPWYxRYGVpUnYRz81JCKzuF3xs7qlAoIDASpgG9OQ1WYQQQkyjPSMh13QgYzl7BRo7FchYwec1ZTeQ3IFV+gvgUNfsDusKoPFCoNkPxp+vmJNcY0VkJk4FFjJjxVj+y1dzTwUC+QdWQuE61VcRQkjhKGx4oKJOyS5gl2FBkCYj57oxU4EAz3DZFdBCIUtijRWg2309/gYQ1htIusMzdW03AX69jD9XCSApFZGZmYkqVarg2rVr5hpP6WPKi1ggBElZiUBmXN7HMZZHxqoav8wvY0UrAgkhpPDkbhIqTAMCxk0FAsbVWZkyiyJkrB7tAPa34kGVcwDQ5XipC6oAiYGVvb090tPToSjBjb2KnKkNQgEejAkZpfzqrDLjcpb5Ovnn3J5vxopWBBJCiGyEOqtMmVouCNOAAGDjkPdxNrY59xtTZ2XKm32hSei9NXzRU7m2QNfTgHt9489Rgkgunvnggw8wf/58ZGVlmWM8pYsmk38Apk0FAsYVsAuF60ov3V8WIbBKiwIyE3UfQ60WCCFEPvbZgZVa5oyVjbLgLuZSVgZKbbcA5GSsACDwTeCVg6V6tkNyjdWpU6dw8OBB7N+/H/Xr19frvP7nn3/KNrgST/vdgylTgQAPrF6cNS6w0p4GBAAHdx5spccAiXcAj8Y599F2NoQQIh+hV6FcGStjVgQK7Jz4zIUxKxKzTOitWL4b8OhvoM4nQO2PS/R2NcaQHFi5u7vjtddeM8dYSh/hnYHCJv/iw/wYlbHKvk+71YLAtXp2YHVbN7Ci4nVCCJGPvcz7BWqM2IBZIGW/QFN6KwYMBioNKvUBlUByYLV27VpzjKN00l7WauoL0pjAytCKQIFrdSDmhH6dFRWvE0KIfMxVvG5jZMYKMF/xOkBBlRaTGhRlZWXh33//xY8//ojERF6b8+TJEyQlybwPUklXmOagAikZq9xTgUBOnVXSHd3bqXidEELkYydzxkqcCjQmYyWhSWhhVqoTACZkrB48eIBu3bohMjIS6enp6Ny5M1xdXbFgwQKkpaVh5cqV5hhnyWRKI7bcpBSv5zUVCOSTsaLAihBCCk3ujJUxzUHF55awX2BhmlYTACZkrCZMmIBmzZrh5cuXUKly+mP0798fBw8elHVwJZ4pWwfkJgRW6c/zfjdS0FQgoBtYaTKBjJf8OmWsCCGk8MyVsTJmKlBSjRVlrApLcsbq6NGjOHbsGBwcdPtmBAQE4PHjx7INrFQozAbMAnt3vrt4ViLPTLnV0r1fnQGkPuXX85sKTIvmXXPty+TsEwhFzkbNhBBCTCcGVnLVWEkoXjelxqowb/hLOckZK41GA7VarXf7o0eP4OrqKsugSg05aqwUCsClMr9uaDow9REAxtPFhrJP9q6Aow+/LmStxPoqT95cjhBCSOGIU4EWaLcgqcZKhhKVUk5yYNW5c2d8++234ucKhQJJSUmYMWMGevToIefYSr7CdF3XJmzGnGIgsNKur8pr1YaQtUrIDqxoRSAhhMhL7qlAjQlTgVL6WNFUoMkkTwUuWbIEISEhqFOnDtLS0jB06FDcvn0bXl5e2LRpkznGWHLJkbEC8i9gF1cEGqivErhWA54fNZCxovoqQgiRheztFsw8FUgZK5NJDqwqVKiA8PBwbN68GefOnYNGo8Fbb72FYcOG6RSzEyPIUWMFFBBY5bMiUJC7gJ22syGEEHmZrd0CFa9bG8mB1eHDh9GmTRuMGjUKo0aNEm/PysrC4cOH0aFDB1kHWKKpTdg6wJD8AquUPLaz0ZY7sBK6rlOrBUIIkYfs7Ra09gos8Lmzkx6UsSoSkmusQkJC8OLFC73b4+PjERISIsugSo0iyVgZMxUoNAmljBUhhJiFkLGSba9ACX2sxIyVlBorWhVoKsmBFWMMCgNF0LGxsXobMpMCyF1jlfqY96DSlmLEVKBLNX6ZHsv7V1HxOiGEyEv4O6+WeUsbSQ1CC8hYqTMAlqX7GCKZ0VOBr776KgC+CnDkyJFQKnPSj2q1GpcuXUKbNm3kH2FJJlfK1dGbp4M16UDK45z2C4zl1FjlNxVo7wKoyvN+Vwm3qXidEELkJnfGSui8bsxUoLE1VtqBF00FmszowMrNzQ0Az1i5urrqFKo7ODigVatWeOedd+QfYUkmTgUWMmOlsOFTfYm3geT7OYFVekzO8lqnivmfw7U6D6yS7tB2NoQQIjd7reJ1xgq/abEpfawKylgJgZfCFrCxN31spZzRgdXatWsBAJUrV8bkyZNp2k8Ocq6+cA7IDqy06qyEaUBH34KX5LpWB6IP83MIxeuUsSKEEHmIb6AZD4rsCrmKXsomzMbuFag9i1LYwK8Uk7wqcMaMGeYYR+kkV4NQwHABu1i4ns80oEBsEnoDyMhenECBFSGEyEN79XdWUuEDK3EqUMZ2C9RqQRaSAysA+OOPP7B161ZERkYiIyND577z58/LMrBSQc7VF06GAqt8Nl/OTQisYk5m36DgW9oQQggpPBtbPm2nTssuAynkG1ezFK/TikA5SF4VuHTpUowaNQre3t64cOECWrRoAU9PT9y7dw/du3c3xxhLLrnaLQB5ZKyMKFwXCIFV8n1+qfQAbEyKuwkhhBgiZ5NQKZ3Xjd0rMIt6WMlBcmC1fPlyrFq1CsuWLYODgwOmTJmCAwcOYPz48YiPjzfHGEsuuRqEAoYDK2HvwPxaLQhcqup+TtOAhBAiLzmbhErZK9DYGis53+yXYpIDq8jISLGtgkqlQmJiIgBg+PDhtFegVObIWKVEAkzDr0uZCrRzAlR+OZ9TYEUIIfKSNWNlwpY26hS+IjHPc1LGSg6SAytfX1/ExsYCAAICAnDyJK/JiYiIAMvvB0b0yVpj5cfbLmgygLRn/DZjtrPRJkwHAtRqgRBC5GapqUDhzTvT8P8ReaHidVlIDqxeeeUV/PPPPwCAt956CxMnTkTnzp0xePBg9O/fX/YBllhMI++7Axv7nIxT8gO+dYHQNsGYqUBAN7CijBUhhMjLHFOBUvpYAfkXsFPGShaSq5NXrVoFjYZPNb3//vvw8PDA0aNH0bt3b7z//vuyD7DEEtK4gHwrMJwDgJSHPLBy8Mg5t0NZ4x6vk7Gi7WwIIURW5pgKNKbzuo09oLDj29Vkpeb9P4H2CZSF5MDKxsYGNjY5ia5BgwZh0KBBsg6qVNB+x2JbyH4mAufKwPOjPLASWiU4Bxjf6I0yVoQQYj5yZqykbMIM8Om9zATjMlY0FVgokgOrtm3bIigoCMHBwWjbti11YDeVmHJ15P1N5KC9MlAIrIydBgQosCKEEHOSc79AKVOBAJ/ey0zIv+VCloxNq0sxyTVWvXr1wvnz5zFgwACULVsWrVu3xqeffoq9e/ciKUmmzSVLA3O8gLUDKykrAgWuVQFkZ7eoeJ0QQuQlZKzUMmasjJkKBIxrEkrF67KQHFhNnToVe/fuxcuXL3H48GH07dsX4eHh6NOnDzw9qVO30cwxl60dWEldEQjwdz7u9fnqQu3sFSGEkMKTM2Mlpd0CYFyTUCpel4XJrbVv376Nixcv4uLFi7h06RLKlCmD9u3byzm2ks0cjdi0Aysh4yRlKhAAgncDaVHSMl2EEEIKZp8dWBU2Y6VR80J0wPiMla0RTUIpYyULyYHV4MGDcfjwYWg0GnTo0AEdOnTA1KlT0aBBA3OMr+SSs+u6QAiishKBuEv8upSMFcD7YTn5FXwcIYQQaYS/94XNWAkbMAPSitcBI4vXqXa6MCQHVr///ju8vLwwcuRIhISEoH379nBxcTHH2Eo2c2Ss7FS8TUJaNJDOm7hS5okQQqyEvUztFrTb9UgpXgcKKF6nqUA5SK6xevHiBX7++WdkZWVh2rRp8PLyQsuWLfHJJ59gz5495hhjyWSufiFOWhkqhQ2gqiDv+QkhhJhGrnYLQmClsAFsjMyP2GXXWOVbvE57BcpBcmDl7u6OPn36YPHixTh37hyuXr2KOnXqYPHixejVq5c5xlgymatIUHvqT+XHG8MRQgixPLkahApTgcZswCwQM1b51FhR8bosJE8FvnjxAmFhYQgNDUVoaCiuXr0KDw8P9O3bFyEhIeYYY8kkvjOQOWOlHVjRNCAhhFgPuTNWxuwTKD43tVsoKpIDq3LlysHLywvt27fHO++8g+DgYNSrV88cYyvZzPUC1g6spK4IJIQQYj5yZ6yMra8CjKuxooyVLCQHVhcvXqRASg41PwACXjdvYCV1RSAhhBDzkTtjJWkq0JgaK1oVKAfJgRUFVTJxcOcfcqOpQEIIsU7aGSvGjN/HNbdCTQUaUWNFU4GFYlRg1bhxYyiMfAGcP3++UAMihURTgYQQYp2EwIqp+XSelKk8bVI3YAYKngrUZAGaDN1jiUmMCqz69esnXk9LS8Py5ctRp04dtG7dGgBw8uRJXL16FWPHjjXLIIkEDu6A0gtIjwFcq1l6NIQQQgTaU2xZyaYHVhoTpgILKl7Xvp0yVoViVGA1Y8YM8frbb7+N8ePH48svv9Q75uHDh/KOjpim9QYg8S5QpqalR0IIIURgY8e3oNGk8+lApYn764oZKwlTgQXtFSjerjB+mxxikEmd18+ePat3+xtvvIFmzZphzZo1sgyMFEKF7pYeASGEEEPsnIGM9MIVsEvdgBkouMZKu77K1NovAsCEBqEqlQpHjx7Vu/3o0aNwdDQxrWmEuXPnok2bNnBycoK7u7tRjxk5ciQUCoXOR6tWrcw2RkIIISRfQp1VYfYLFKcCpWSsCqixohWBspGcsfrwww8xZswYnDt3TgxSTp48iTVr1uCLL76QfYCCjIwMDBw4EK1bt8bq1auNfly3bt2wdu1a8XMHBwdzDI8QQggpmBC4qAuTsTKheL2gGivaJ1A2kgOrTz/9FFWqVMF3332HjRs3AgBq166NdevWYdCgQbIPUDBr1iwAwLp16yQ9TqlUwtfX1wwjIoQQQiSSI2NlylRgQTVWatonUC6SAysAGDRokFmDKDmFhobC29sb7u7uCAoKwty5c+Ht7Z3n8enp6UhPTxc/T0hIKIphEkIIKQ3sZei+ri7EVGBeNVaUsZKNSYEVwKfmoqOjodFodG6vVMl6eid1794dAwcOREBAACIiIjB9+nS88sorOHfuHJRKwy/IefPmidkxQgghRFa2MnRfN2VLG6EhdXo0ELkNqPSa7v3UHFQ2kovXb9++jfbt20OlUiEgIACBgYEIDAxE5cqVERgYKOlcM2fO1Csuz/1haAWisQYPHoyePXuiXr166N27N/bs2YNbt25h165deT5m6tSpiI+PFz+ohQQhhBDZyJmxktJuwbkSEPgmwDTAscFAxG+691PGSjaSM1YjR46EnZ0ddu7cifLlyxvdkd2QcePG4fXXX8/3mMqVK5t8/tzKly+PgIAA3L59O89jlEplntksQgghpFDk2C9QyFhJaRAKAC3XAApb4N5a4MRwvrqw6lv8PjWtCpSL5MAqPDwc586dQ61atQr95F5eXvDy8ir0eYwVGxuLhw8fonz58kX2nIQQQojITs6MlcTAysYWaPkzf9ztFcCpt/m5avyPMlYykjwVWKdOHcTExJhjLPmKjIxEeHg4IiMjoVarER4ejvDwcCQl5bw4a9Wqhe3btwMAkpKSMHnyZJw4cQL3799HaGgoevfuDS8vL/Tv37/Ix08IIYTIkrEyZSpQoLABmv0A1JrEPz87Dri+MGc8VGNVaJIzVvPnz8eUKVPw1VdfoX79+rC3t9e5v0yZMrINTtsXX3yB9evXi583btwYAHDo0CEEBwcDAG7evIn4+HgAgK2tLS5fvowNGzYgLi4O5cuXR0hICLZs2QJXV1ezjJEQQgjJlxwZK1OnAgUKBdB4IW/BcHUucOFjwCl74RllrApNcmDVqVMnAEDHjh11bmeMQaFQQK1WyzOyXNatW1dgDyvGmHhdpVJh3759ZhkLIYQQYhJLTgVqUyiAhnN4cHVpGpASmT0+CqwKS3JgdejQIXOMgxBCCCn5ZJkKNGET5rzU+5wHVxc+4p9TYFVokgOroKAgc4yDEEIIKflkmQqUIWOlrfYkwMENuLMK8OsjzzlLMcmB1eHDh/O9v0OHDiYPhhBCCCnR5Cxel9J5vSBV38ppvUAKRXJgJRSKa9PuZWWuGitCCCGk2JOlxsqEzuukyEhut/Dy5Uudj+joaOzduxfNmzfH/v37zTFGQgghpGQQOq9nFmIfWrmnAomsJGes3Nzc9G7r3LkzlEolJk6ciHPnzskyMEIIIaTEUXrzy7TnfHsZheT8hnmmAolsTPiJGlauXDncvHlTrtMRQgghJY9jdmDFsoCMl6adg6YCrZrkjNWlS5d0PmeM4enTp/j666/RsGFD2QZGCCGElDi2SsDeHciMA9KeAUpP6eegjJVVkxxYNWrUCAqFQqcZJwC0atUKa9askW1ghBBCSImk8uWBVWoU4FZH+uM1lLGyZpIDq4iICJ3PbWxsUK5cOTg60g+YEEIIKZCjD5Bwg2espGJMns7rxGwkB1YBAQHmGAchhBBSOjj68EtTAitNJoDsGSM5Oq8T2ZlUvB4WFobevXujWrVqqF69Ovr06YMjR47IPTZCCCGk5HH05ZdpUdIfK0wDAqZvwkzMSnJg9euvv6JTp05wcnLC+PHjMW7cOKhUKnTs2BEbN240xxgJIYSQkkNViIyVMA0IUMbKSkmeCpw7dy4WLFiAiRMnirdNmDABixcvxpdffomhQ4fKOkBCCCGkRBGmAlMLEVjZ2JvWA4uYneSfyr1799C7d2+92/v06aNX2E4IIYSQXOSYCqRpQKslObDy9/fHwYMH9W4/ePAg/P39ZRkUIYQQUmIVpnhdXBFI04DWSvJU4EcffYTx48cjPDwcbdq0gUKhwNGjR7Fu3Tp899135hgjIYQQUnKIgVW09G1tqIeV1ZMcWI0ZMwa+vr5YtGgRtm7dCgCoXbs2tmzZgr59+8o+QEIIIaRE0d7WJv0F4Ohl/GPFGisKrKyVpMAqKysLc+fOxejRo3H06FFzjYkQQggpuWyVgENZvldg2jPTAiuaCrRakmqs7Ozs8M0330CtVptrPIQQQkjJJxawS6yzog2YrZ7k4vVOnTohNDTUDEMhhBBCSgmxzkriykANbcBs7STXWHXv3h1Tp07FlStX0LRpUzg7O+vc36dPH9kGRwghhJRIpq4MpIyV1TOpeB0AFi9erHefQqGgaUJCCCGkICpTpwJpA2ZrJzmw0mg05hgHIYQQUnqI3ddpKrCkoX74hBBCSFGjqcASy+iMVWpqKg4ePIhevXoBAKZOnYr09Jxdtm1tbfHll1/C0ZF+2IQQQki+TF4VSFOB1s7owGrDhg3YuXOnGFgtW7YMdevWhUqlAgDcuHEDFSpU0NmcmRBCCCEGqExcFaimqUBrZ/RU4G+//YbRo0fr3LZx40YcOnQIhw4dwjfffCN2YieEEEJIPnJva2Ms2tLG6hkdWN26dQs1atQQP3d0dISNTc7DW7RogWvXrsk7OkIIIaQkUgrb2qj5tjbGos7rVs/oqcD4+HjY2eUc/vz5c537NRqNTs0VIYQQQvJg6wA4eAAZL/h0oLHb2ggZK9or0GoZnbGqWLEirly5kuf9ly5dQsWKFWUZFCGEEFLimbIykIrXrZ7RgVWPHj3wxRdfIC0tTe++1NRUzJo1Cz179pR1cIQQQkiJZUqTUJoKtHpGTwV+9tln2Lp1K2rWrIlx48ahRo0aUCgUuHHjBpYtW4asrCx89tln5hwrIYQQUnKY0iSUitetntGBlY+PD44fP44xY8bg008/BWMMAN/GpnPnzli+fDl8fHzMNlBCCCGkRCnMVCC1W7Bakra0CQwMxN69e/HixQvcuXMHAFCtWjV4eHiYZXCEEEJIiWVKk1CqsbJ6kvcKBAAPDw+0aNFC7rEQQgghpYejCU1CaSrQ6tFegYQQQogl0FRgiUSBFSGEEGIJJq0KpIyVtaPAihBCCLEEU7a1oRorq0eBFSGEEGIJjtrb2sQa9xgNTQVaOwqsCCGEEEuwsQeUnvy6sdOBNBVo9SiwIoQQQixF6spAKl63ehRYEUIIIZYi9LJKNTJjRe0WrB4FVoQQQoilSGm5wDSAJoNfp8DKalFgRQghhFiKlKlAob4KoE2YrRgFVoQQQoilSOllpdEKrGwoY2WtKLAihBBCLEXKVKBQuA7wFYXEKlFgRQghhFiKEFilGjMVqNUcVKEw35hIoVBgRQghhFiKowlTgTQNaNUosCKEEEIsRchYpT8HNOr8j01+kP2YcuYdEykUO0sPoKRQq9XIzMy09DAIKVHs7e1ha2tr6WEQYj5CkMTUQEZszjY3hrw4xy/LNjH/uIjJKLAqJMYYoqKiEBcXZ+mhEFIiubu7w9fXFwqqKSElkY09oPQC0mP4dKAxgZVH06IZGzEJBVaFJARV3t7ecHJyoj/+hMiEMYaUlBRER0cDAMqXL2/hERFiJo4+OYEV6ud9HAVWxQIFVoWgVqvFoMrT09PSwyGkxFGpVACA6OhoeHt707QgKZkcfYD4q/mvDEyPBZLv8+seNBVozah4vRCEmionJycLj4SQkkv4/aIaRlJiGbMy8OUFfulSBXBwN/uQiOkosJIBTf8RYj70+0VKPGOahNI0YLFBgRWxavfv34dCoUB4eLjRjwkODsaHH35otjFZq8qVK+Pbb7+19DAIIVIJ29rkNxVIgVWxQYFVKTRy5EgoFAooFArY29ujSpUqmDx5MpKTk3WO27ZtG4KDg+Hm5gYXFxc0aNAAs2fPxosXLwAA69atE8+jUCjg4+OD3r174+rVq0aN486dOxg9ejQqVaoEpVIJPz8/dOzYEb/99huysrJk/7oFn376KWrXrq1z2/Xr16FQKDB8+HCd23/55RfY29sjKSkJAHS+Xjs7O1SqVAmTJk1Ceno68qP9OBcXFzRs2BDr1q2T9esihBRTlLEqUSiwKqW6deuGp0+f4t69e5gzZw6WL1+OyZMni/d//vnnGDx4MJo3b449e/bgypUrWLRoES5evIhffvlFPK5MmTJ4+vQpnjx5gl27diE5ORk9e/ZERkZGvs9/+vRpNGnSBNevX8cPP/yAK1euYOfOnRg9ejRWrlxpdHBmipCQENy4cQNRUTnvDkNDQ+Hv749Dhw7pHBsaGooWLVrAxcVFvG3t2rV4+vQpIiIisHz5cvzyyy+YM2dOgc8rPO7ixYsYPHgwRo0ahX379sn3hZkB1TURUgQKCqwyXgJJ9/h16mFl9SiwKqWUSiV8fX3h7++PoUOHYtiwYdixYwcAHvR89dVXWLRoEb755hu0adMGlStXRufOnbFt2zaMGDFCPI9CoYCvry/Kly+PZs2aYeLEiXjw4AFu3ryZ53MzxjBy5EjUqFEDx44dQ+/evVG9enU0btwYw4YNw5EjR9CgQYM8Hx8WFoYWLVpAqVSifPny+PTTT/UyXFlZWRg3bhzc3d3h6emJadOmgTEGAGjXrh3s7e0RGhoqHh8aGor//e9/SExMxJ07d3RuDwkJ0Tm30FfJ398fvXr1Qp8+fXD+/PkCv+fC46pWrYrPPvsMHh4e2L9/v3h/fHw83n33XXh7e6NMmTJ45ZVXcPHiRZ1z/P3332jWrBkcHR3h5eWFV199Vef+lJQUjB49Gq6urqhUqRJWrVqlc/8nn3yCGjVqwMnJCVWqVMH06dN1gqeZM2eiUaNGWLNmDapUqQKlUgnGGG7cuIF27drB0dERderUwb///guFQiG+ZgDg8ePHGDx4MMqWLQtPT0/07dsX9+/fL/D7QkipJ0wFpuUxFfgi+++LcyCg9CiaMRGTUWAlM8YYkpMzivxDCBpMpVKpxH+wv/32G1xcXDB27FiDx7q7uxu8PS4uDhs3bgTAO2bnJTw8HNevX8fkyZNhY2P4JZhXwfLjx4/Ro0cPNG/eHBcvXsSKFSuwevVqvYzR+vXrYWdnh1OnTmHp0qVYsmQJfv75ZwCAs7MzmjdvrpOdCgsLQ8eOHdG2bVvx9ocPH+LevXt6gZW2W7du4dChQ2jZsmWex+SmVquxdetWvHjxQvw+McbQs2dPREVFYffu3Th37hyaNGmCjh07ilOvu3btwquvvoqePXviwoULOHjwIJo1a6Zz7kWLFqFZs2a4cOECxo4dizFjxuDGjRvi/a6urli3bh2uXbuG7777Dj/99BOWLFmic447d+5g69at2LZtG8LDw6HRaNCvXz84OTnh1KlTWLVqFT7//HOdx6SkpCAkJAQuLi44fPgwjh49ChcXF3Tr1q3A7CUhpV5B29qI04CUrSoWGMlXfHw8A8Di4+P17ktNTWXXrl1jqamp4m1JSekM+KbIP5KS0o3+mkaMGMH69u0rfn7q1Cnm6enJBg0axBhjrHv37qxBgwYFnmft2rUMAHN2dmZOTk4MAAPA+vTpk+/jNm/ezACw8+fPi7c9e/aMOTs7ix8//PADY4yxiIgIBoBduHCBMcbYZ599xmrWrMk0Go342B9++IG5uLgwtVrNGGMsKCiI1a5dW+eYTz75hNWuXVv8/LPPPmM1atRgjDF29epVVqZMGZaVlcW+/vprNnToUMYYY+vXr2dKpZKlpKSIjwPAHB0dmbOzM1MqlQwA69WrF8vIyMj3a9Z+nK2tLQPAPDw82O3btxljjB08eJCVKVOGpaWl6TyuatWq7Mcff2SMMda6dWs2bNiwPJ8jICCAvfHGG+LnGo2GeXt7sxUrVuT5mAULFrCmTZuKn8+YMYPZ29uz6Oho8bY9e/YwOzs79vTpU/G2AwcOMABs+/btjDHGVq9erfdzSU9PZyqViu3bty+/b02BDP2eEVKiqDMZ+03B2G9gLPWZ/v1HBvP7rnxV9GMrxvL7/21OlLEqpXbu3AkXFxc4OjqidevW6NChA77//nsAPHti7BJ3V1dXhIeH49y5c1i5ciWqVq2KlStXivfXrVsXLi4ucHFxQffu3XUeq/0cnp6eCA8PR3h4ONzd3fPMcly/fh2tW7fWeWzbtm2RlJSER48eibe1atVK55jWrVvj9u3bUKv5u8GQkBDcunULT548QWhoKNq1awdbW1sEBQWJU4ShoaFo1aqV2KRSsGTJEoSHh+PixYvYuXMnbt26pVf0bojwuAMHDqBRo0ZYsmQJqlWrBgA4d+4ckpKS4OnpKX6/XFxcEBERgbt37wLgmb6OHTvm+xzaU6jCNK3QuRwA/vjjD7Rr1w6+vr5wcXHB9OnTERkZqXOOgIAAlCuXs8nrzZs34e/vD19fX/G2Fi1a6Dzm3LlzuHPnDlxdXcWxe3h4IC0tTRw/ISQPNnZ8WxvA8MpAKlwvVqjzusycnOyRlDTeIs8rRUhICFasWAF7e3tUqFBBZ+quRo0aOHr0KDIzM/Od0gMAGxsbMTioVasWoqKiMHjwYBw+fBgAsHv3bnGKUQhQqlevDgC4ceMGGjVqBACwtbUVz2Nnl/fL0lDQx7KnQaX0O2rbti0cHBwQGhqKQ4cOISgoCADQrFkzxMfHi1N8I0eO1Husr6+vONaaNWsiMTERQ4YMwZw5c8TbDREeV61aNfz+++9o3LgxmjVrhjp16kCj0aB8+fI6dV8CYeo1d4BnSO6fl0KhgEajAQCcPHkSr7/+OmbNmoWuXbvCzc0NmzdvxqJFi3Qe4+zsrPO5MYG2RqNB06ZN8dtvv+ndpx2kEULy4OjDpwJzF7BnxANJ2XWfFFgVC5SxkplCoYCzs0ORf0htoujs7Ixq1aohICBA75/x0KFDkZSUhOXLlxt8bH4bTk+cOBEXL17E9u3bAfDshxBM+Pn5AQAaN26MWrVqYeHCheI/fWPVqVMHx48f16kpO378OFxdXcXzAzyI0Hby5ElUr15d3BJFpVKhZcuWCA0NxeHDhxEcHAyAB3Vt2rTBhg0bcP/+/XzrqwTCOVNTU43+OqpVq4bXXnsNU6dOBQA0adIEUVFRsLOzE79fwoeXF38n26BBAxw8eNDo58jt2LFjCAgIwOeff45mzZqhevXqePDgQYGPq1WrFiIjI/HsWc4f/DNnzugc06RJE9y+fRve3t5643dzczN5zISUGnmtDHwpFK4HAEraOq04oMCK6GnZsiWmTJmCjz76CFOmTMGJEyfw4MEDHDx4EAMHDsT69evzfGyZMmXw9ttvY8aMGXkW1CsUCqxduxY3b95E27Zt8ffff+P27du4du0aVq5ciefPn+e5J9zYsWPx8OFDfPDBB7hx4wb++usvzJgxA5MmTdIphH/48CEmTZqEmzdvYtOmTfj+++8xYcIEnXOFhIRg8+bNSE1NRZMmOUWhQUFBWLp0qRh85RYXF4eoqCg8efIEYWFhmD17NmrUqKHXG6sgH330Ef755x+cPXsWnTp1QuvWrdGvXz/s27cP9+/fx/HjxzFt2jScPXsWADBjxgxs2rQJM2bMwPXr13H58mUsWLDA6OerVq0aIiMjsXnzZty9exdLly4VA+D8dO7cGVWrVsWIESNw6dIlHDt2TCxeFwL6YcOGwcvLC3379sWRI0cQERGBsLAwTJgwQWeKlhCSh7xWBtI0YLFDgRUxaP78+di4cSNOnTqFrl27om7dupg0aRIaNGig027BkAkTJuD69ev4/fff8zymVatWOHfuHGrWrIn//e9/qFOnDtq0aYNNmzZhyZIlGDNmjMHH+fn5Yffu3Th9+jQaNmyI999/H2+99RamTZumc9ybb76J1NRUtGjRAv/73//wwQcf4N1339U5JiQkBImJiWjbtq3O9GNQUBASExPRpk0bKJVKvTGMGjUK5cuXR8WKFTFkyBDUrVsXe/bsyXcK05D69eujU6dO+OKLL6BQKLB792506NABo0ePRo0aNfD666/j/v378PHh72SDg4Px+++/4++//0ajRo3wyiuv4NSpU0Y/X9++fTFx4kSMGzcOjRo1wvHjxzF9+vQCH2dra4sdO3YgKSkJzZs3x9tvvy1+vx0dHQHw/fwOHz6MSpUq4dVXX0Xt2rUxevRopKamokyZMpK+L4SUSnllrITAivpXFRsKlldagQAAEhIS4Obmhvj4eL1/EGlpaYiIiEBgYKD4D4aQ0uDYsWNo164d7ty5g6pVq5r1uej3jJQK1xYA4Z8AlYcDbTbk3P5PTSDxFhC8B6jQzXLjK4by+/9tTlS8Tggp0Pbt2+Hi4oLq1avjzp07mDBhAtq2bWv2oIqQUsPRwFRgZgIPqgCaCixGKLAihBQoMTERU6ZMwcOHD+Hl5YVOnTrprSYkhBSCoanAFxf4pZM/4Eira4uLYlFjdf/+fbz11lsIDAyESqVC1apVMWPGjAI7OjPGMHPmTFSoUAEqlQrBwcFm3YOOkJLqzTffxO3bt5GWloZHjx5h3bp18PSkFUqEyEZlKLCiwvXiqFgEVjdu3IBGo8GPP/6Iq1evYsmSJVi5ciU+++yzfB+3YMECLF68GMuWLcOZM2fg6+uLzp07IzExsYhGTgghhBhBmArU3taGAqtiqVhMBXbr1g3duuUU7VWpUgU3b97EihUrsHDhQoOPYYzh22+/xeeffy5uVLt+/Xr4+Phg48aNeO+994pk7IQQQkiBlF4AFADTAOkxPIP1kgKr4qhYZKwMiY+Ph4dH3rt8R0REICoqCl26dBFvUyqVCAoKwvHjx/N8XHp6OhISEnQ+CCGEELPS3tYm7RmQmQgkZBeuU6uFYqVYBlZ3797F999/j/fffz/PY6Ki+MoKoQeQwMfHR7zPkHnz5sHNzU388Pf3l2fQhBBCSH60m4S+DAfAAJVfTv0VKRYsGljNnDkTCoUi3w+h67TgyZMn6NatGwYOHIi33367wOcwtK9cftu/TJ06FfHx8eLHw4cPTfviCCGEECm0VwZSfVWxZdEaq3HjxuH111/P95jKlSuL1588eYKQkBC0bt0aq1atyvdxvr488o+KikL58uXF26Ojo/WyWNqUSqXBbtuEEEKIWYm9rJ4BLy/y6xRYFTsWDay8vLzEDWYL8vjxY4SEhKBp06ZYu3atzr5whgQGBsLX1xcHDhxA48aNAQAZGRkICwvD/PnzCz12YlkjR45EXFwcduzYYemhGM0axnz//n0EBgbiwoULaNSokcXGQQgxQMhYpUZRxqoYKxY1Vk+ePEFwcDD8/f2xcOFCPH/+HFFRUXq1UrVq1RI3lVUoFPjwww/x1VdfYfv27bhy5QpGjhwJJycnDB061BJfhtU5fvw4bG1tdVZcFhffffcd1q1bZ/bnGTlyJPr162f25wGA0NBQnWlwT09PvPLKKzh27FiRPD8hxMKEwCrpHpBwg1+nwKrYKRbtFvbv3487d+7gzp07qFixos592lsd3rx5E/Hx8eLnU6ZMQWpqKsaOHYuXL1+iZcuW2L9/P1xdXYts7NZszZo1+OCDD/Dzzz8jMjISlSpVMvtzZmZmwt7evtDncXNzk2E01unmzZsoU6YMnj9/jjlz5qBnz564desWvL29LT20PGVkZMDBwcHSwyCkeBOK158dBC9cL59zGyk2ikXGauTIkWCMGfzQxhjDyJEjxc8VCgVmzpyJp0+fIi0tDWFhYahXr14Rj946JScnY+vWrRgzZgx69eqll/0Rsie7du1Cw4YN4ejoiJYtW+Ly5cviMevWrYO7uzt27NiBGjVqwNHREZ07d9Yp+J85cyYaNWqENWvWoEqVKlAqlWCMITIyEn379oWLiwvKlCmDQYMG4dkz3nH4xo0bcHJywsaNG8Xz/Pnnn3B0dBSfP3cmKTg4GB988AE+/PBDlC1bFj4+Pli1ahWSk5MxatQouLq6omrVqtizZ4/4GLVardPRv2bNmvjuu+90xr5+/Xr89ddfYhYpNDQUAJ+aHjx4MMqWLQtPT0/07dsX9+/f1zn3pEmT4O7uDk9PT0yZMkXv9ZoXb29v+Pr6on79+pg2bRri4+Nx6tQp8f5r166hR48ecHFxgY+PD4YPH46YmBjxfo1Gg/nz56NatWpQKpWoVKkS5s6dq/Mc9+7dQ0hICJycnNCwYUOcOHFCvC82NhZDhgxBxYoV4eTkhPr162PTpk06jw8ODsa4ceMwadIkeHl5oXPnzgCAv//+G9WrV4dKpUJISAjWr18PhUKBuLg48bHHjx9Hhw4doFKp4O/vj/HjxyM5Odmo7w0hJZqQscrMbvNTlrJVxVGxCKyKFcaArOSi/zDyn7Zgy5YtqFmzJmrWrIk33ngDa9euNfiP/+OPP8bChQtx5swZeHt7o0+fPsjMzBTvT0lJwdy5c7F+/XocO3YMCQkJegsS7ty5g61bt2Lbtm0IDw8HAPTr1w8vXrxAWFgYDhw4gLt372Lw4MEA+JTuwoULMXbsWDx48ABPnjzBO++8g6+//hr169fP82tav349vLy8cPr0aXzwwQcYM2YMBg4ciDZt2uD8+fPo2rUrhg8fjpSUFAA8AKlYsSK2bt2Ka9eu4YsvvsBnn32GrVu3AgAmT56MQYMGoVu3bnj69CmePn2KNm3aICUlBSEhIXBxccHhw4dx9OhRuLi4oFu3buI2S4sWLcKaNWuwevVqHD16FC9evBCnqY2VkpKCtWvXAoCY5Xv69CmCgoLQqFEjnD17Fnv37sWzZ88waNAg8XFTp07F/PnzMX36dFy7dg0bN27UW7Dx+eefY/LkyQgPD0eNGjUwZMgQZGVlAQDS0tLQtGlT7Ny5E1euXMG7776L4cOH6wR3wvfbzs4Ox44dw48//oj79+9jwIAB6NevH8LDw/Hee+/h888/13nM5cuX0bVrV7z66qu4dOkStmzZgqNHj2LcuHGSvjeElEiOuRZW0TRg8cRIvuLj4xkAFh8fr3dfamoqu3btGktNTc25MTOJsd9Q9B+ZSZK+rjZt2rBvv/2WDzkzk3l5ebEDBw6I9x86dIgBYJs3bxZvi42NZSqVim3ZsoUxxtjatWsZAHby5EnxmOvXrzMA7NSpU4wxxmbMmMHs7e1ZdHS0eMz+/fuZra0ti4yMFG+7evUqA8BOnz4t3tazZ0/Wvn171rFjR9a5c2em0WjE+0aMGMH69u0rfh4UFMTatWsnfp6VlcWcnZ3Z8OHDxduePn3KALATJ07k+X0ZO3Yse+211/J8HsYYW716NatZs6bOeNLT05lKpWL79u1jjDFWvnx59vXXX4v3Z2ZmsooVK+qdS5vwPXd2dmbO/2/v7uNqvvs/gL/OOZVupFsq5D6ESGFsFsNDm4tpjK65CTH8mLu5yRhjMzczdmcbCxeu8Rjb7NqMDXOhMHJXEnJXSBFKWvfnnPfvj67znSNUzjl9v+fT+/l47LH6dNL79e77qU/fWycnUqlUBICCg4OpuLiYiIjmzZtHvXv3Nvq8GzduEABKTk6mBw8eUI0aNSg6OvqxXyMlJYUA0Nq1a6UxQ+/Pnz//xNr69OlD06dPl97v1q0bBQYGGr0mKiqK2rRpYzQ2d+5cAkDZ2dlERDR8+HAaO3as0WtiY2NJrVYbz6OHPHaeMSai/FvGP9dv/CJ3RVbtab+/LckqzrFi5pWcnIy4uDhs374dAGBjY4Pw8HCsX78evXr1Mnptly5dpLfd3d3RokULnD9/XhqzsbFBhw4dpPdbtmwJV1dXnD9/Hp06dQIANGzYELVr//1k9vPnz8PX19fo5qutWrWSPq9jx44ASs8Ba968OdRqNc6ePfvU+48BQNu2baW3NRoNPDw8jPZwGfbaZGZmSmOrV6/G2rVrce3aNRQUFKC4uLjcq+VOnjyJy5cvlzlXr7CwEFeuXEFOTg4yMjKMemfoE1Vgz2JsbCycnJxw+vRpREVFYcOGDdIeq5MnT2L//v2oWbNmmc+7cuUK7t+/j6KiIvTs2fOpX+PhXhluR5KZmYmWLVtCp9Nh6dKl2Lp1K27evImioiIUFRXBycnJ6N94+PsOlG5Xhu+dgWEbMDD0bvPmzdIYEUGv1yMlJQX+/v5PrZsxodXwBFTq0sfaALzHykrxwsrcNI7A4L/k+boVtG7dOmi1WtSrV08aIyLY2toiOzsbbm5uT/38Rxc4j1vwPDz26C9kesJNWh8dT0hIQF5eHtRqNW7duoW6des+ta5HT4pXqVRGY4Z/W68v/aG1bds2TJs2DStWrECXLl3g7OyM5cuXlznk9Si9Xo/g4GCjxYHBwwvIZ9W4cWO4urqiefPmKCwsxGuvvYazZ8+iRo0a0Ov16Nev32NvGeLj44OrV69W6Gs8rS8rVqzAJ598gk8//RQBAQFwcnLC1KlTpcOcBhX5vj66kNTr9Rg3bhwmT55cpqaquHiCMUVTa0oXV4WZpfe0cnz6zzymTLywMjeVCrBxKv91MtFqtdi0aRNWrFhh9BxFABg4cCA2b95sdL7L0aNHpV942dnZuHjxIlq2bGn07504cULaM5GcnIz79+8bveZRrVq1wvXr13Hjxg1pr9W5c+eQk5Mj7bHIysrCyJEjMXfuXNy6dQtDhw7FqVOn4ODgYJ5GoHTP0PPPP48JEyZIY1euXDF6jZ2dHXQ6ndFYUFAQtm7dijp16qBWrVqP/bd9fHxw9OhRhISEACjt08mTJxEUVLlnfg0fPhzvv/8+vvrqK0ybNg1BQUH48ccf0ahRI9jYlJ2+hhPH9+3bV6EnEzxObGws+vfvj2HDhgEoXQxdunSp3L1JLVu2xK5du4zGHn1yQlBQEJKSktCsWbNnqo0x4dl7ly6s3Pn5gNaKT16vZn799VdkZ2dj9OjRaNOmjdF/r7/+OtatW2f0+vfffx/79u2T7gPm6elpdDWera0tJk2ahGPHjuHUqVMYNWoUOnfuXOYQ0MN69eqFtm3bSouluLg4REREoFu3btLhpfHjx8PX1xfvvvsuVq5cCSLCjBkzzNqLZs2a4cSJE9i9ezcuXryIefPm4fjx40avadSoEc6cOYPk5GTcvXsXJSUlGDp0KDw9PdG/f3/ExsYiJSUFBw8exJQpU5CWlgYAmDJlCpYuXYqffvoJFy5cwIQJE4yujKsotVqNqVOnYunSpcjPz8fEiRORlZWFN954A3Fxcbh69Sr27NmDyMhI6HQ62NvbIyoqCrNmzcKmTZtw5coVHD16tMz3tby+7N27F0eOHMH58+cxbty4pz5f02DcuHG4cOECoqKicPHiRWzbtk262tSwJysqKgp//vknJk6ciPj4eFy6dAm//PILJk2aVOneMCYkwwnsfBjQavHCqppZt24devXq9dj7QA0cOBDx8fE4deqUNLZ06VJMmTIFwcHByMjIwC+//GJ0vyJHR0dERUVhyJAh6NKlCxwcHPDdd989tQaVSoX//Oc/cHNzQ0hICHr16oUmTZpg69atAIBNmzZh165d+Pe//w0bGxs4Ojpi8+bNWLt2bZk9IqYYP348BgwYgPDwcDz33HO4d++e0d4rAHjzzTfRokULdOjQAbVr18bhw4fh6OiImJgYNGjQAAMGDIC/vz8iIyNRUFAg7cGaPn06IiIiMHLkSOkw42uvvfZMdUZGRqKkpASrVq1C3bp1cfjwYeh0OoSGhqJNmzaYMmUKXFxcpKcRzJs3D9OnT8f8+fPh7++P8PBwo/PKyjNv3jwEBQUhNDQU3bt3h7e3d4Vuktq4cWP88MMP2L59O9q2bYuvv/5auirQ8Jiotm3b4uDBg7h06RJefPFFtG/fHvPmzTN67BRj1VrDfwJOjYAGg8t9KVMmFVXkbNpq7MGDB3BxcUFOTk6Zwz6FhYVISUlB48aNYW9vL1OFlnHgwAG89NJLyM7Ohqur62Nfs2HDBkydOvWZ9sSw6uHDDz/E6tWrTXqYucjzjDFmOU/7/W1JfI4VY8xsvvrqK3Ts2BEeHh44fPgwli9fzveoYoxVK7ywYoyZzaVLl7Bo0SJkZWWhQYMGmD59Ot555x25y2KMsSrDhwLLUV0PBTKmFDzPGGPPQq5DgXzyOmOMMcaYmfDCijHGGGPMTHhhZQZ8NJUxy+H5xRizJrywMoHhsSD5+fkyV8KYuAzz69FHFjHGmBLxVYEm0Gg0cHV1lW6+6OjoWO6DghljFUNEyM/PR2ZmJlxdXaHRaOQuiTHGysULKxN5e3sDQKXubM0YqzhXV1dpnjHGmNLxwspEKpUKPj4+qFOnDkpKSuQuhzGh2Nra8p4qxphV4YWVmWg0Gv4FwBhjjFVzfPI6Y4wxxpiZ8MKKMcYYY8xMeGHFGGOMMWYmfI5VOQw3J3zw4IHMlTDGGGOsogy/t6v6JsO8sCpHbm4uAMDX11fmShhjjDFWWbm5uXBxcamyr6cifl7EU+n1eqSnp8PZ2dnsN/988OABfH19cePGjSp98raliJYHEC+TaHksTbR+iZYHEC+TaHlMZUo/iAi5ubmoW7cu1OqqO/OJ91iVQ61Wo379+hb9GrVq1RJqAomWBxAvk2h5LE20fomWBxAvk2h5TPWs/ajKPVUGfPI6Y4wxxpiZ8MKKMcYYY8xMeGEloxo1auC9995DjRo15C7FLETLA4iXSbQ8liZav0TLA4iXSbQ8prLGfvDJ64wxxhhjZsJ7rBhjjDHGzIQXVowxxhhjZsILK8YYY4wxM+GFFWOMMcaYmfDCijHGGGPMTHhhxao10S6KFS0PY6Jt06LlYWXxwoo91d27d3H8+HGcO3cO9+/fl7scs0hMTMSsWbMAwOzPf5SDVquV3hYhD6scnqPKx3O0euGFlZlcvXoV+/fvl7sMs0pMTET37t0RERGB7t27Y8WKFSgoKJC7LJMkJCSgU6dOcHR0NBq31r8ik5OTMWbMGPTu3Rt9+vTB9evXAZQ+PJwZ4zlqHXiOik3EefgoXliZwcWLF+Hv74+ePXvit99+k7scs7h8+TJ69uyJPn36YOfOnZg0aRKio6ORm5srd2nPLCEhAS+88ALeeustLFiwwOhj1vhX5NmzZ9G1a1fY2Nigffv2uH//Pl566SUUFxdX6ZPcrQHPUevAc1RsIs7DxyJmkuzsbAoLC6MhQ4ZQREQEOTk50a+//ip3WSaLioqigQMHSu/rdDoKDQ2l2NhYOnnyJF2/fl3G6iovNTWVXFxcaMSIEUREVFJSQh9++CFFRkZS//79affu3XTv3j15i6yEjIwM6tixI02fPl0au3PnDjVt2pQ2bdokY2XKw3PUOvAcFZuo8/BxbORe2Fm7zMxM+Pn54cUXX0S/fv3g4OCA8PBwbN26Ff/4xz/kLu+ZFRQUIDc3F1lZWXB3d8eiRYuwZ88epKWlobi4GLVr18YXX3yBoKAguUutkLi4OPj4+MDOzg7JycmYNGkSioqKUKdOHeTk5CAyMhJvvfUW3nrrLdSsWVPucssVHx8PrVaLN998Uxrz8PCAu7s77ty5I2NlysNzlOeoHHiOGhN1Hj6W3Cs7EZw7d87o/XHjxpGTkxPt2LFDGtPpdJSTk1PVpT2zZcuWUcuWLSksLIxGjRpFNjY29MMPP1B2djYdOHCAevfuTTNnzqSSkhLS6/Vyl1shGzZsoJCQEHJzc6NXXnmFbt++LdU+e/Zs8vDwoEuXLslcZcVotVr65ptvpPeLi4uJiOjVV1+lxYsXG73WWr4/lsRz1Dq2AZ6jYhNxHj4OL6zMSKfTSW+PHTtW2tWp1Wppzpw59MEHH1BJSYmMFVbOsmXLaMmSJTRw4ECaNm2a0ccGDx5MoaGhMlVWOQ/3fP369TRkyBA6fvw4ERl/z2rWrEmrVq2q8vpM9XCGsLAwmjFjhvT+qlWr6ODBg3KUpUg8R5WJ52j1mqOizcNH8aHASkpOTsaGDRuQmpqKHj16oF27dujUqRMA46tW1qxZA5VKhWHDhqFTp07Yu3cvEhISYGOjvJY/mql169Z4/vnnpcudp06dWqbumjVrwtPTE1qtVpGZ7t69i8LCQtSvXx82NjbQ6XTQaDQYNWoUgoKC0LJlSwCAWq0GEeHKlSto3LgxWrVqJXPlj5eamopdu3bh6tWrCA0NRbdu3WBnZwegNINer5f+bxifP38+Fi1ahLNnz8pZepXjOVqK52jV4jlqTMR5WGGyLuusTFJSErm6ulK/fv2oX79+1LRpU3ruuefoq6++kl6j1Wqlt4uKiqhx48bk4eFB8fHxcpRcridlevivwhkzZlD9+vUpNjaWjh07RvPnzyc3NzdKSkqSsfInS0pKInd3d4qMjKT09HRp/OHvzaPeffddateuHd28ebMqSqyUM2fOUIMGDah79+4UFBREarWa1qxZQ0R//+VnOMzQv39/+uSTT2jlypXk4OBAJ0+elK1uOfAc5TkqB56jxkSch5XBC6sKKi4upuHDh9Po0aOlsfj4eJo6dSo1bNiQPvnkE2lcr9dTSUkJTZgwgdRqNSUmJspQcfnKy7RixQppvFu3buTs7EzNmjWjwMBAOn36tAwVly8jI4M6d+5ML7zwAtnb29OYMWOMfnA/aseOHTRt2jSqVauWIjOlpqZS06ZNafbs2VRUVERERMuXL6fatWvT7du3y7x+6NChpFarycnJSTqUUl3wHOU5Kgeeo8ZEnIeVZcX72qqWRqPB1atXERgYKI21a9cOU6ZMgZ2dHdasWQMfHx+Eh4dDpVIhMzMTAHD8+HG0adNGpqqfrrxM0dHR8PLywtChQ3HgwAHs3bsXHh4eqFevHry8vOQr/AmICImJiahfvz6WLVuG1NRUhIaGAgDef/99+Pj4GL1er9fj2LFjiImJwaFDhxAQECBH2U+k0+mwZcsWBAYGYtasWbCzswMRoW/fvvj666+Rl5dX5nM0Gg2ICHFxcYo9ZGIpPEd5jlY1nqNliTgPK03OVZ210Ov1pNfr6f/+7/9o0KBBlJWVZfTxCxcu0Ouvv06DBw+W/mIhIiooKKjqUiusMpny8vJkqrLyMjIyKCYmRrrKZu/evWRjY0NjxowxOoTw8G7ou3fvVnmdFbV9+3aKiooyGsvPz6e6detSbGys0UmgRET37t2j1NTUqixREXiO8hyVC8/Rv4k4D58FL6wq4bvvviMHBwdau3Ztmctjf/75Z7KxsaGLFy/KVN2zETGTgeGchj/++EP6wZ2enk5arZa++OIL2rt3r8wVPpu8vDxq1KgRHT58WBrbt28fXbt2TcaqlEHE7VnETAY8R8Uk8jZbEXwosBLCw8ORkJCAiRMnwtHREQMGDECNGjUAAH5+fmjRooXMFVaeiJkMbG1todPp0LNnT+zevVs65FBQUICff/4Zp06dkrnCiiMiqFQqaLVa6HQ62Nvbw9nZGQAwe/ZsrFmzBufOnZO5SvmJuD2LmMmA56iYRN5mK4IXVhVUXFwMOzs7LF68GDqdDsOHD0dKSgp69+4NPz8/rF+/HoWFhXB1dZW71AoTMZPhkm0Dw+XNPXr0wM6dO/Hyyy/DxcUFBw8ehJ+fn4yVVozhEm3Dc9JsbGygUqlQUFAArVaL9957D6tWrcL+/fvLnJ9S3Yi4PYuYieeo2ETcZitN7l1mSmY4xm/4f1paGv30009ERPTRRx+Rv78/ubq6Urt27cjb25tOnTolV6kVVh0y3bx5k7Zv317mGP60adPIxcWlzN1/laa8PHl5eRQQEEAhISFkZ2dHJ06ckK1WuRkOM4i0PVeHTNY+R8vLU93mqIjbrCl4YfWQ27dvU0JCgtFxccM5AKmpqeTq6krz5s2TPnbhwgXat28f/f7775SWllbl9VZEdczk5uZGCxYsMPqc48ePk6+vLx07dqxKa62IyuTR6/V069YtqlGjBjk5OVFCQoIsNculoKCAcnNzje7KbPhlZq3bc3XMZG1ztDJ5qsMczcvLo/v37xstjK19mzUnXlj9z5kzZ6ht27bUvHlz8vb2plGjRkkfu3v3Lrm4uNC4ceNIp9NZzXOdqnOmR/MUFBRQdnZ2FVdbvmfN88033whxI73KSExMpL59+1JgYCCFhYXR3LlzpY9lZmZa5fZcnTNZyxx91jyiztHExETq3bs3tWzZkl5++WWaM2eO9DFr3WbNjRdWRHTx4kXy9PSkefPmUVxcHK1du5b8/f2lS2IzMjJo7dq1ZS6bVTLOpHzPksdaspnbhQsXyN3dnaZNm0abNm2iOXPmkIeHB/Xv35/u379Pt2/ffuwVSErGmZTvWfKIPEcvX75M7u7uNGnSJFq9ejVNnz6d6tevT926daOcnByr+/5aSrVfWOn1elqwYAENHjxYGktPT6du3brRoUOHaM+ePU99zIIScSblEy2PJWm1Wnr77bdp7Nix0lh+fj6FhYWRSqWiXr16SePW8kuNMyk/k2h5zOHrr7+m7t27S4f9SkpK6M8//yQ/Pz/q2rWrtKCqLv14ErXcJ8/LTaVSISUlBTdu3JDGNm7ciOPHj2PcuHGIjIxEhw4dkJubC6D0ChCl40zKzyRaHkvSaDS4fPmydBdrvV4PBwcHdOvWDWPHjsX58+cxatQoAKVXmFkDzqT8TKLlMYdr164hLS1Neoi0jY0NOnfujG3btuH69esYMGAAgOrTjyep1ul1Oh0AoG/fvrh16xZ69eqF0aNHY8GCBdi2bRt27dqFuLg45OfnY9KkSQCUv8FwJuVnEi2PJel0Omi1WjRv3hwPHjzA6dOnoVarkZqaig8++ADBwcGYPXs24uPjcfv2bbnLrRDOpPxMouUxlz59+kCr1eL77783Gm/bti0+/fRTXLhwAQcPHpSpOuVQERHJXURVM9x3hP53Q7dbt27h6NGjOHnyJNLS0lCvXj0sWrRI+vi4ceOQnp6OHTt2yF36E3Em5WcSLY8lPdqrP//8E2PHjoVGo4GnpyeOHDmCiIgIrF69GikpKWjRogViYmLQuXNnuUt/Is6k/Eyi5TEHQy8AIC0tDWPHjoW9vT1mzZpllPv27dto27YtPvjgA4wdO1auchWh2t0gNDk5GWvXrkV2djZ8fX0xbtw4eHt7IywsDGFhYRg8eLD0F4hhY8rLy4O3t3eZG9spBWdSfibR8ljSo70aO3YsunTpgi1btmDv3r24d+8eRowYgeHDh4OIcPfuXbRq1Qp169aVu/Qn4kzKzyRaHlNlZGRAp9Ohfv360Ov1UKlUqF+/PubPn4+IiAisXLkSEyZMQPfu3QEAderUQatWrWBvby9v4UpQxed0ySopKYlcXFwoPDycevbsSZ06dSIPDw/67bffpBOFP/30U+rRowdt2rSJzp07R1FRUeTp6Unnz5+XufrH40zKzyRaHkt6XK/c3d1p586dT/ycmTNnUvv27RX7oF7OVErJmUTLY6rz58+Tr68v9enTh65cuUJEpSfzG05Kj4mJofbt21NISAjNnz+f/vjjD5o8eTK5ublJr6/Oqs3CSqvV0j//+U964403iOjvm7hFRkaSo6Mj/fDDD0REFB8fTwMGDKDatWtT8+bNKSAggE6fPi1j5U/GmZSfSbQ8lvS0Xjk4OEi9MvxwP3XqFI0YMYJcXV0V2yvOpPxMouUxVVpaGr3wwgsUGBhI3bt3p/Dw8McurhISEmjmzJnUoEEDat26NQUFBQnZj2dRbQ4FqlQq3LlzB127dpXGvLy8sG7dOtjb22PEiBFo1KgRgoOD8cUXXyAjIwPFxcVo2rQp6tSpI2PlT8aZlJ9JtDyWVF6vRo4ciSZNmqB9+/YoKiqCjY0NatSogZiYGAQEBMhY+ZNxJuVnEi2PqRISEmBjY4PVq1cjKSkJGzduxJw5c7B48WI0adIEWq0WQOkJ68uWLcOCBQvw119/wd7eHrVq1ZK5eoWQe2VXlYYMGULBwcFlnmuk0+koLCyMAgMD6a+//pKzxErjTMonWh5LKq9XQUFBlJeXJ73e8OgfJeNMys8kWh5T7d+/X3o7OjqaQkJCKDw8nC5fvkxEZHRX9ep+z6rHqRbXcNP/LnwcOnQo9Ho9Fi1ahJKSEmg0Gmi1WqjVarz55pu4f/8+0tLSZK62YjiT8jOJlseSKtqrrKwso3t/2draylVyuTiT8jOJlsdcDCekA8CYMWMQERGB9PR0zJ07F1evXoVarcbChQtx586dansrmKepFocCDVdZ9ejRA127dsWOHTvg6OiIiRMnSlcwNGzYEABQVFQkW52VwZmUn0m0PJYkYq84k/IziZbH3Ay3nxg9ejRUKhU2btyIuXPnwtbWFt9++y0GDRqE2rVry12m4lSbpWZxcTHs7e2xZMkSBAcHY9u2bZg8eTJycnKQnp6OLVu2wM7ODj4+PnKXWmGcSflEy2NJIvaKMymfaHlMZbiBMVB6Y2LDOVWRkZEYNmwYduzYgR07duDUqVNo3bq1XGUqm3xHIS3jcc9XM4ylpqbS999/T0VFRbRkyRIKDAwkjUZDAQEB5OPjQydPnqzqciuEMyk/k2h5LEnEXnEm5WcSLY+pntaPtLQ0io6OlsYN51FNnjyZatWqRWfPnq2aIq2UUAurpKQkWrhwodGJwIYNIjU1lerVq0czZswgotINKDc3l3766SeKjY2l69evy1JzeTiT8jOJlseSROwVZ1J+JtHymKoi/Zg9e7bR5+zbt4+cnZ2FXGSamzALq/j4eFKpVLR48WJpzHDVQkZGBnl5edH48eOlMWvAmZRPtDyWJGKvOJPyiZbHVKb0IzMzs8rqtGZCLKwSEhLI0dGRoqKijMZLSkqIqHRjWb58uVVdFsqZlE+0PJYkYq84k/KJlsdUz9oPw/vVZfFpKqtfWF26dIlq1qxJI0eOlMaWLVtGI0eOpEGDBtEvv/wiY3XPhjMpn2h5LEnEXnEm5RMtj6m4H1XH6q8KTElJQVFREerWrYukpCSEhITg999/R1ZWFkpKStC/f398/PHHAP6+Z4nScSblZxItjyWJ2CvOpPxMouUxFfejCsm2pDOj77//nurVq0fe3t4UFhZG6enp0q7Lzz//nNRqNcXFxclcZeVwJuUTLY8lidgrzqR8ouUxFfejagixsCIi+vHHHykkJISOHDliNH737l3y8fGh1atXy1TZs+NMyidaHksSsVecSflEy2Mq7oflWd2d11NTU/Hzzz8jOzsbzZo1w7BhwwAAAwYMQLt27VC3bl0ApbsyVSoV/vrrL3h5eaFx48Zylv1UnEn5mUTLY0ki9oozKT+TaHlMxf2Qj1UtrBITE/HKK6/A398fOTk5OHPmDFJSUjBv3jwAQNOmTaXXGh5V8M0330Cr1Sr2KeScSfmZRMtjSSL2ijMpP5NoeUzF/ZCZbPvKKik1NZWaNm1Ks2bNIr1eTw8ePKA1a9ZQq1at6OrVq2UuAz1w4ACNHz+e3Nzc6PTp0/IUXQ7OpPxMouWxJBF7xZmUn0m0PKbifsjPKvZY6fV6bN26FX5+fpg7dy5UKhWcnZ0RHByMO3fuoLCwUFp1A0BmZibi4+Nx5swZHDx4UJErcM6k/Eyi5bEkEXvFmZSfSbQ8puJ+KINVLKzUajU6dOgAvV6PWrVqASg9Lty2bVs4OzsjOzvb6PV16tRBREQERowYAVdXVxkqLh9nUn4m0fJYkoi94kzKzyRaHlNxPxRCtn1llVRcXCy9/fCuzKZNm9Iff/whvb9nzx6ruTssZ1J+JtHyWJKIveJMys8kWh5TcT/kp9gbhF6/fh07d+5EdHQ0MjIyUFxcDADQ6XRQqVTQarXIy8uDVquFg4MDAODdd99FaGgoMjIy5Cz9iTiT8jOJlseSROwVZ1J+JtHymIr7oUByr+weJyEhgby8vKh9+/bk6upKvr6+NGPGDLp69SoRla7CS0pKKC8vjxo2bEinT5+mxYsXU82aNen48eMyV/94nEn5mUTLY0ki9oozKT+TaHlMxf1QJsUtrLKzsyk4OJhmzpxJWVlZRES0cOFCevHFF+nVV1+lS5cuGb0+KCiIOnbsSHZ2dordUDiT8jOJlseSROwVZ1J+JtHymIr7oVyKW1hdu3aNGjZsSLt37zYa37hxI4WEhNCQIUMoIyODiIiysrLIxcWFbGxs6MyZM3KUWyGcSfmZRMtjSSL2ijMpP5NoeUzF/VAuxZ1jpdFo4ODggPT0dACAVqsFAERERGDo0KE4e/Ys9uzZAwBwc3PDl19+icTEREVfJsqZlJ9JtDyWJGKvOJPyM4mWx1TcD+VSESnvMdavvvoqbty4gf3798PV1RVarRY2NqV3hhg0aBBu3ryJI0eOACi9b4darbj1YRmcSfmZRMtjSSL2ijMpP5NoeUzF/VAm2bucl5eH3NxcPHjwQBpbv349cnJyMHjwYBQXF0sbCgCEhoaCiFBUVAQAitxQOJPyM4mWx5JE7BVnUn4m0fKYivthPWTt9Llz5zBgwAB069YN/v7+2Lx5M/R6PTw9PbFlyxZcuHABvXv3RnJyMgoLCwEAcXFxcHZ2lrPsp+JMys8kWh5LErFXnEn5mUTLYyruh5WR6dwuSkpKIg8PD5o2bRpt2bKF3n77bbK1taVTp05Jr0lMTKSAgABq2rQpdejQgfr160fOzs4UHx8vV9lPxZmUn0m0PJYkYq84k/IziZbHVNwP6yPLOVZZWVl444030LJlS3z22WfSeI8ePRAQEIDPPvsMRCQ90+jLL79EWloaHBwcEB4ejhYtWlR1yeXiTMrPJFoeSxKxV5xJ+ZlEy2Mq7od1kuVZgSUlJbh//z5ef/11AH+fVNekSRPcu3cPAKBSqaDT6aDRaDBx4kQ5yqwUzqT8TKLlsSQRe8WZlJ9JtDym4n5YJ1nOsfLy8sK3336LF198EUDprfcBoF69ekYn2Gk0GuTm5krvy7BzrcI4k/IziZbHkkTsFWdSfibR8piK+2GdZDt53c/PD0DpCtzW1hZA6UZz+/Zt6TVLlixBdHS0dH8Ow+5OpeJMys8kWh5LErFXnEn5mUTLYyruh/WR5VDgw9RqtXSMWKVSQaPRAADmz5+PRYsW4fTp00aXkFoDzqR8ouWxJBF7xZmUT7Q8puJ+WA9F3NjCsNtSo9HA19cXH3/8MT766COcOHEC7dq1k7m6Z8OZlE+0PJYkYq84k/KJlsdU3A/roIjlreFYsa2tLaKjo1GrVi0cOnQIQUFBMlf27DiT8omWx5JE7BVnUj7R8piK+2EdFLHHyiA0NBQAcOTIEXTo0EHmasyDMymfaHksScRecSblEy2Pqbgfyqa4ZwXm5eXByclJ7jLMijMpn2h5LEnEXnEm5RMtj6m4H8qluIUVY4wxxpi1UtShQMYYY4wxa8YLK8YYY4wxM+GFFWOMMcaYmfDCijHGGGPMTHhhxRhjjDFmJrywYowJbcGCBQgMDJS7DMZYNcG3W2CMWa3yHjY7YsQIrFq1CkVFRfDw8Kiiqhhj1RkvrBhjVuvWrVvS21u3bsX8+fORnJwsjTk4OMDFxUWO0hhj1RQfCmSMWS1vb2/pPxcXF6hUqjJjjx4KHDlyJMLCwrB48WJ4eXnB1dUVCxcuhFarxcyZM+Hu7o769etj/fr1Rl/r5s2bCA8Ph5ubGzw8PNC/f3+kpqZWbWDGmOLxwooxVu3897//RXp6OmJiYrBy5UosWLAAffv2hZubG44dO4bx48dj/PjxuHHjBgAgPz8fL730EmrWrImYmBgcOnQINWvWxMsvv4zi4mKZ0zDGlIQXVoyxasfd3R2ff/45WrRogcjISLRo0QL5+fmYM2cO/Pz88M4778DOzg6HDx8GAHz33XdQq9VYu3YtAgIC4O/vj3/961+4fv06Dhw4IG8Yxpii2MhdAGOMVbXWrVtDrf7770ovLy+0adNGel+j0cDDwwOZmZkAgJMnT+Ly5ctwdnY2+ncKCwtx5cqVqimaMWYVeGHFGKt2bG1tjd5XqVSPHdPr9QAAvV6P4OBgbN68ucy/Vbt2bcsVyhizOrywYoyxcgQFBWHr1q2oU6cOatWqJXc5jDEF43OsGGOsHEOHDoWnpyf69++P2NhYpKSk4ODBg5gyZQrS0tLkLo8xpiC8sGKMsXI4OjoiJiYGDRo0wIABA+Dv74/IyEgUFBTwHizGmBG+QShjjDHGmJnwHivGGGOMMTPhhRVjjDHGmJnwwooxxhhjzEx4YcUYY4wxZia8sGKMMcYYMxNeWDHGGGOMmQkvrBhjjDHGzIQXVowxxhhjZsILK8YYY4wxM+GFFWOMMcaYmfDCijHGGGPMTHhhxRhjjDFmJv8PkmfzHOFM520AAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(recharge126*1000, label=\"PCR-GlobWB Recharge\", color=\"darkblue\")\n", - "plt.plot(timeseries126*1000, label=\"Approximated Recharge\", color=\"orange\")\n", - "plt.title(\"PCR-GlobWB vs approximated groundwater recharge (SSP1-2.6)\")\n", - "plt.ylabel(\"Groundwater recharge [mm/day]\")\n", - "plt.xlabel(\"Time\")\n", - "plt.xticks(rotation=45, ha='right')\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP4-6.0\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_113342/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_113342')" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " end_time=\"2025-09-30T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")\n", - "recharge245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ") " - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - " \n", - " precipitation_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"precipitation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " landsurface_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " evaporation_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"total_evaporation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " recharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = precipitation_at_station245[0] + landsurface_at_station245[0] - evaporation_at_station245[0] \n", - " recharge245[\"PCRGlobWB: Sonoran Desert\"][time245] = recharge_at_station245[0]\n", - " \n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp" - ] - }, - { - "cell_type": "markdown", - "id": "bf0cbc1c-3cb8-43ae-89b7-387e2b76e8a8", - "metadata": {}, - "source": [ - "Comparing the approximation with the groundwater recharge that is simulated with PCR-GlobWB." - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "f13419b8-1fae-40a1-aa2d-ae2f525c344b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(recharge245*1000, label=\"PCR-GlobWB Recharge\", color=\"darkblue\")\n", - "plt.plot(timeseries245*1000, label=\"Approximated Recharge\", color=\"orange\")\n", - "plt.title(\"PCR-GlobWB vs approximated groundwater recharge (SSP2-4.5)\")\n", - "plt.ylabel(\"Groundwater recharge [mm/day]\")\n", - "plt.xlabel(\"Time\")\n", - "plt.xticks(rotation=45, ha='right')\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_113833/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_113833')" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " end_time=\"2025-09-30T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")\n", - "\n", - "recharge585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " precipitation_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"precipitation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " landsurface_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " evaporation_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"total_evaporation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " recharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = precipitation_at_station585[0] + landsurface_at_station585[0] - evaporation_at_station585[0] \n", - " recharge585[\"PCRGlobWB: Sonoran Desert\"][time585] = recharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "6f3a0e25-cc9f-4666-8e84-a37259a9770e", - "metadata": {}, - "source": [ - "Comparing the approximation with the groundwater recharge that is simulated with PCR-GlobWB." - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "d749568c-d2cb-4251-b635-412d2aa507f8", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(recharge585*1000, label=\"PCR-GlobWB Recharge\", color=\"darkblue\")\n", - "plt.plot(timeseries585*1000, label=\"Approximated Recharge\", color=\"orange\")\n", - "plt.title(\"PCR-GlobWB vs approximated groundwater recharge (SSP2-4.5)\")\n", - "plt.ylabel(\"Groundwater recharge [mm/day]\")\n", - "plt.xlabel(\"Time\")\n", - "plt.xticks(rotation=45, ha='right')\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(timeseries126*1000, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245*1000, label=\"SSP2-4.5\", color=\"darkblue\")\n", - "plt.plot(timeseries585*1000, label=\"SSP5-8.5\", color=\"orange\")\n", - "\n", - "plt.title(\"Comparison SSPs approximation groundwater recharge (aug-sep 2025)\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Groundwater Recharge [mm/day]\")\n", - "plt.xticks(rotation=45, ha='right')\n", - "plt.legend(loc=2);" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "939e4944-a557-43b4-ac18-0d85f234cd52", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "total_126 = timeseries126.sum() * 1000 \n", - "total_245 = timeseries245.sum() * 1000 \n", - "total_585 = timeseries585.sum() * 1000 \n", - "\n", - "categories = [\"SSP1-2.6\", \"SSP2-4.5\", \"SSP5-8.5\"]\n", - "totals = [total_126, total_245, total_585]\n", - "colors = [\"green\", \"darkblue\", \"orange\"]\n", - "\n", - "for i in range(len(totals)):\n", - " plt.bar(categories[i], totals[i], color=colors[i])\n", - "\n", - "plt.title(\"Total Groundwater Recharge Approximation (Aug-Sep 2025)\")\n", - "plt.ylabel(\"Total Groundwater Recharge [mm]\")\n", - "plt.grid()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b88d737e-7911-4bc4-ad57-7e6c4631e2a7", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_dis.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_dis.ipynb deleted file mode 100644 index 78bca81..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_dis.ipynb +++ /dev/null @@ -1,661 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Discharge in 2025\n", - "Discharge in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model for SSP1-2.6\n", - "Location of the groundwater recharge: Gila river near Yuma." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")\n", - "#print(pcrglob)" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Starting and initializing the model" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250106_085351/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250106_085351')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"discharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = discharge_at_station126[0]\n", - "\n", - " # Show progress\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "b247d9a7-00d8-4d1b-8b2a-62a3f61ccde7", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the Gila River near Yumafor SSP1-2.6." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "e32dc1d3-b768-4dd3-8919-67af82b627bd", - "metadata": {}, - "outputs": [], - "source": [ - "da126 = pcrglob126.get_value_as_xarray(\"discharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "916657b4-b345-42fe-9ac5-3762ac86c595", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig126 = plt.figure(dpi=120)\n", - "ax126 = fig126.add_subplot(111, projection=crs.PlateCarree())\n", - "da126.plot(ax=ax126, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax126.add_feature(cfeature.OCEAN)\n", - "ax126.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax126.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax126.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax126.set_title(\"Sonoran Desert SSP1-2.6\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP2-4.5\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250106_085724/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250106_085724')" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"discharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = discharge_at_station245[0]\n", - "\n", - " # Show progress\n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "37974d63-7177-4681-ac2d-4618b6aae493", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the Gila River near Yuma for SSP4-6.0." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "91e9030b-b052-4d90-864c-091217f78292", - "metadata": {}, - "outputs": [], - "source": [ - "da245 = pcrglob245.get_value_as_xarray(\"discharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "dd6408f5-0344-4f53-9c15-be1f7b7dcb67", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig245 = plt.figure(dpi=120)\n", - "ax245 = fig245.add_subplot(111, projection=crs.PlateCarree())\n", - "da245.plot(ax=ax245, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax245.add_feature(cfeature.OCEAN)\n", - "ax245.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax245.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax245.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax245.set_title(\"Sonoran Desert SSP2-4.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250106_085939/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250106_085939')" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"discharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = discharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "92793746-27c5-4762-8646-00335146db96", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the Gila River near Yuma for SSP5-8.5." - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "9b397721-1fb5-4b52-a73e-504d3fec2ed4", - "metadata": {}, - "outputs": [], - "source": [ - "da585 = pcrglob585.get_value_as_xarray(\"discharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "cdb73527-fc01-4a0e-a60e-0a3efcadcd87", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig585 = plt.figure(dpi=120)\n", - "ax585 = fig585.add_subplot(111, projection=crs.PlateCarree())\n", - "da585.plot(ax=ax585, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax585.add_feature(cfeature.OCEAN)\n", - "ax585.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax585.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax585.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax585.set_title(\"Sonoran Desert SSP5-8.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(timeseries126, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245, label=\"SSP2-4.5\", color=\"darkblue\")\n", - "plt.plot(timeseries585, label=\"SSP5-8.5\", color=\"orange\")\n", - "#plt.axhline(y=0.966, color=\"red\", linestyle=\"--\", label=\"Threshold\")\n", - "\n", - "plt.title(\"Discharge CMIP6 (aug 2025\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Discharge [m3/s]\")\n", - "plt.xticks(rotation=45, ha='right')\n", - "plt.legend(loc=1);" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_evap.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_evap.ipynb deleted file mode 100644 index b7938f0..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_evap.ipynb +++ /dev/null @@ -1,660 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Evaporation in 2025\n", - "Evaporation in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model: SSP1-2.6\n", - "Location of the groundwater recharge: Gila river near Yuma." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")\n", - "#print(pcrglob)" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Starting and initializing the model" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_190115/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_190115')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"total_evaporation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = discharge_at_station126[0]\n", - "\n", - " # Show progress\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "b247d9a7-00d8-4d1b-8b2a-62a3f61ccde7", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP1-2.6." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "e32dc1d3-b768-4dd3-8919-67af82b627bd", - "metadata": {}, - "outputs": [], - "source": [ - "da126 = pcrglob126.get_value_as_xarray(\"total_evaporation\")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "916657b4-b345-42fe-9ac5-3762ac86c595", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig126 = plt.figure(dpi=120)\n", - "ax126 = fig126.add_subplot(111, projection=crs.PlateCarree())\n", - "da126.plot(ax=ax126, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax126.add_feature(cfeature.OCEAN)\n", - "ax126.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax126.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax126.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax126.set_title(\"Sonoran Desert SSP1-2.6\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP4-6.0\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_190305/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_190305')" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"total_evaporation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = discharge_at_station245[0]\n", - "\n", - " # Show progress\n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "37974d63-7177-4681-ac2d-4618b6aae493", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP4-6.0." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "91e9030b-b052-4d90-864c-091217f78292", - "metadata": {}, - "outputs": [], - "source": [ - "da245 = pcrglob245.get_value_as_xarray(\"total_evaporation\")" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "dd6408f5-0344-4f53-9c15-be1f7b7dcb67", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig245 = plt.figure(dpi=120)\n", - "ax245 = fig245.add_subplot(111, projection=crs.PlateCarree())\n", - "da245.plot(ax=ax245, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax245.add_feature(cfeature.OCEAN)\n", - "ax245.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax245.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax245.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax245.set_title(\"Sonoran Desert SSP2-4.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_190454/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_190454')" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"total_evaporation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = discharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "92793746-27c5-4762-8646-00335146db96", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP5-8.5." - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "9b397721-1fb5-4b52-a73e-504d3fec2ed4", - "metadata": {}, - "outputs": [], - "source": [ - "da585 = pcrglob585.get_value_as_xarray(\"total_evaporation\")" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "cdb73527-fc01-4a0e-a60e-0a3efcadcd87", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig585 = plt.figure(dpi=120)\n", - "ax585 = fig585.add_subplot(111, projection=crs.PlateCarree())\n", - "da585.plot(ax=ax585, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax585.add_feature(cfeature.OCEAN)\n", - "ax585.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax585.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax585.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax585.set_title(\"Sonoran Desert SSP5-8.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(timeseries126*1000, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245*1000, label=\"SSP2-4.5\", color=\"darkblue\")\n", - "plt.plot(timeseries585*1000, label=\"SSP5-8.5\", color=\"orange\")\n", - "\n", - "plt.title(\"Evaporation CMIP6 (aug 2025)\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Evaporation [mm/day]\")\n", - "plt.xticks(rotation=45, ha='right')\n", - "plt.legend(loc=1);" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_precip.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_precip.ipynb deleted file mode 100644 index e525e12..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_precip.ipynb +++ /dev/null @@ -1,672 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Precipitation in 2025\n", - "Precipitation in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model: SSP1-2.6\n", - "Location of the groundwater recharge: Gila river near Yuma." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "#station_latitude = 32.76108802182168 #Gila near Yuma\n", - "#station_longitude = -114.41721725761596\n", - "#station_latitude = 32.71327235752173\n", - "#station_longitude = -114.531799939474\n", - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")\n", - "#print(pcrglob)" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Starting and initializing the model" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_190745/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_190745')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"precipitation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = discharge_at_station126[0]\n", - "\n", - " # Show progress\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "b247d9a7-00d8-4d1b-8b2a-62a3f61ccde7", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP1-2.6." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "e32dc1d3-b768-4dd3-8919-67af82b627bd", - "metadata": {}, - "outputs": [], - "source": [ - "da126 = pcrglob126.get_value_as_xarray(\"precipitation\")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "916657b4-b345-42fe-9ac5-3762ac86c595", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig126 = plt.figure(dpi=120)\n", - "ax126 = fig126.add_subplot(111, projection=crs.PlateCarree())\n", - "da126.plot(ax=ax126, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax126.add_feature(cfeature.OCEAN)\n", - "ax126.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax126.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax126.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax126.set_title(\"Sonoran Desert SSP1-2.6\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP4-6.0\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_190939/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_190939')" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"precipitation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = discharge_at_station245[0]\n", - "\n", - " # Show progress\n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "37974d63-7177-4681-ac2d-4618b6aae493", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP4-6.0." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "91e9030b-b052-4d90-864c-091217f78292", - "metadata": {}, - "outputs": [], - "source": [ - "da245 = pcrglob245.get_value_as_xarray(\"precipitation\")" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "dd6408f5-0344-4f53-9c15-be1f7b7dcb67", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig245 = plt.figure(dpi=120)\n", - "ax245 = fig245.add_subplot(111, projection=crs.PlateCarree())\n", - "da245.plot(ax=ax245, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax245.add_feature(cfeature.OCEAN)\n", - "ax245.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax245.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax245.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax245.set_title(\"Sonoran Desert SSP2-4.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_191126/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_191126')" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"precipitation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = discharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "92793746-27c5-4762-8646-00335146db96", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP5-8.5." - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "9b397721-1fb5-4b52-a73e-504d3fec2ed4", - "metadata": {}, - "outputs": [], - "source": [ - "da585 = pcrglob585.get_value_as_xarray(\"precipitation\")" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "cdb73527-fc01-4a0e-a60e-0a3efcadcd87", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig585 = plt.figure(dpi=120)\n", - "ax585 = fig585.add_subplot(111, projection=crs.PlateCarree())\n", - "da585.plot(ax=ax585, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax585.add_feature(cfeature.OCEAN)\n", - "ax585.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax585.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax585.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax585.set_title(\"Sonoran Desert SSP5-8.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(timeseries126*1000, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245*1000, label=\"SSP2-4.5\", color=\"darkblue\")\n", - "plt.plot(timeseries585*1000, label=\"SSP5-8.5\", color=\"orange\")\n", - "\n", - "plt.title(\"Precipitation CMIP6 (aug 2025)\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Precipitation [mm/day]\")\n", - "plt.xticks(rotation=45, ha='right')\n", - "plt.legend(loc=2);" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4e8ca028-958c-42b4-9d2f-c01f7f1096b9", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_rech.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_rech.ipynb deleted file mode 100644 index dc71dc0..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_rech.ipynb +++ /dev/null @@ -1,711 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Groundwater recharge in 2025\n", - "Groundwater recharge in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model\n", - "Location of the groundwater recharge: Gila river near Yuma & ..." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")\n", - "#print(pcrglob)" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Starting and initializing the model" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250106_155858/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250106_155858')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " end_time=\"2025-09-30T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "markdown", - "id": "1d5efb10-0814-4b11-9161-3c77d4675bc3", - "metadata": {}, - "source": [ - "Running the model" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = discharge_at_station126[0]\n", - "\n", - " # Show progress\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "b247d9a7-00d8-4d1b-8b2a-62a3f61ccde7", - "metadata": {}, - "source": [ - "### Results\n", - "Graph of the groundwater recharge in 2025" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "e32dc1d3-b768-4dd3-8919-67af82b627bd", - "metadata": {}, - "outputs": [], - "source": [ - "da126 = pcrglob126.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "916657b4-b345-42fe-9ac5-3762ac86c595", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig126 = plt.figure(dpi=120)\n", - "ax126 = fig126.add_subplot(111, projection=crs.PlateCarree())\n", - "da126.plot(ax=ax126, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax126.add_feature(cfeature.OCEAN)\n", - "ax126.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax126.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax126.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax126.set_title(\"Sonoran Desert SSP1-2.6\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP4-6.0\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250106_160149/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250106_160149')" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " end_time=\"2025-09-30T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = discharge_at_station245[0]\n", - "\n", - " # Show progress\n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "37974d63-7177-4681-ac2d-4618b6aae493", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP4-6.0." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "91e9030b-b052-4d90-864c-091217f78292", - "metadata": {}, - "outputs": [], - "source": [ - "da245 = pcrglob245.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "dd6408f5-0344-4f53-9c15-be1f7b7dcb67", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig245 = plt.figure(dpi=120)\n", - "ax245 = fig245.add_subplot(111, projection=crs.PlateCarree())\n", - "da245.plot(ax=ax245, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax245.add_feature(cfeature.OCEAN)\n", - "ax245.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax245.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax245.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax245.set_title(\"Sonoran Desert SSP2-4.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250106_160434/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250106_160434')" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " end_time=\"2025-09-30T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = discharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "92793746-27c5-4762-8646-00335146db96", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP5-8.5." - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "9b397721-1fb5-4b52-a73e-504d3fec2ed4", - "metadata": {}, - "outputs": [], - "source": [ - "da585 = pcrglob585.get_value_as_xarray(\"groundwater_recharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "cdb73527-fc01-4a0e-a60e-0a3efcadcd87", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig585 = plt.figure(dpi=120)\n", - "ax585 = fig585.add_subplot(111, projection=crs.PlateCarree())\n", - "da585.plot(ax=ax585, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax585.add_feature(cfeature.OCEAN)\n", - "ax585.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax585.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax585.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax585.set_title(\"Sonoran Desert SSP5-8.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(timeseries126*1000, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245*1000, label=\"SSP2-4.5\", color=\"darkblue\")\n", - "plt.plot(timeseries585*1000, label=\"SSP5-8.5\", color=\"orange\")\n", - "\n", - "plt.title(\"Groundwater Recharge CMIP6 (aug-sep 2025)\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Recharge [mm/day]\")\n", - "plt.xticks(rotation=45, ha='right')\n", - "plt.legend(loc=2);" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "id": "202e6208-00a1-4520-9852-08e99a93e772", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "total_126 = timeseries126.sum() * 1000 \n", - "total_245 = timeseries245.sum() * 1000 \n", - "total_585 = timeseries585.sum() * 1000 \n", - "\n", - "categories = [\"SSP1-2.6\", \"SSP2-4.5\", \"SSP5-8.5\"]\n", - "totals = [total_126, total_245, total_585]\n", - "colors = [\"green\", \"darkblue\", \"orange\"]\n", - "\n", - "for i in range(len(totals)):\n", - " plt.bar(categories[i], totals[i], color=colors[i])\n", - "\n", - "plt.title(\"Total Groundwater Recharge CMIP6 (Aug-Sep 2025)\")\n", - "plt.ylabel(\"Total Groundwater Recharge [mm]\")\n", - "plt.grid()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4e8ca028-958c-42b4-9d2f-c01f7f1096b9", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_surf.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_surf.ipynb deleted file mode 100644 index 9160066..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_CMIP_2025_surf.ipynb +++ /dev/null @@ -1,668 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "d4d13fc0-6d2f-453f-b045-39555dc93f4f", - "metadata": {}, - "source": [ - "# Sonoran Desert: CMIP6 projections\n", - "#### Land surface runoff in 2025\n", - "Land surface runoff in 2025, 2050, 2075 and 2100 for the climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "ddba7aa6-2113-4e4d-b642-5aed6107211a", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "a3fd9deb-bdbe-469f-b5d2-57f0236ba4a3", - "metadata": {}, - "source": [ - "### Setting up the model: SSP1-2.6\n", - "Location of the groundwater recharge: Gila river near Yuma." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "3036b0d0-1f6e-4502-8638-3a63e5756b94", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "markdown", - "id": "301ecb08-2f39-4e80-ac25-2d74d30376f7", - "metadata": {}, - "source": [ - "Loading the parameter set and forcing set. Setting up the PCR-GlobWB model. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e3e0cc8-8e50-4066-86cc-55628f64da46", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "706d3bba-db77-46f2-bff2-090dcb00019d", - "metadata": {}, - "outputs": [], - "source": [ - "forcing126 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP126/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "13cd01f4-0e0e-4dd4-836b-1a5f9eccc6b5", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing126\n", - ")\n", - "#print(pcrglob)" - ] - }, - { - "cell_type": "markdown", - "id": "ba4d3e92-38a1-4316-82e5-4a2f0311425c", - "metadata": {}, - "source": [ - "Starting and initializing the model" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6cfa8860-2782-47d1-af1c-aeeafef73561", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_120222/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_120222')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file126, cfg_dir126 = pcrglob126.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file126, cfg_dir126" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "fcf19a7a-59e3-41af-9290-990379cbff6d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.initialize(cfg_file126)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "6f9d70d7-9673-4dfd-bd06-b6f20608a5e8", - "metadata": {}, - "outputs": [], - "source": [ - "time126 = pd.date_range(pcrglob126.start_time_as_isostr, pcrglob126.end_time_as_isostr)\n", - "timeseries126 = pd.DataFrame(\n", - " index=pd.Index(time126, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "30c0a13d-3c93-434f-8ff6-aedaf80f3dee", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob126.time < pcrglob126.end_time:\n", - " pcrglob126.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station126 = pcrglob126.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time126 = pcrglob126.time_as_isostr\n", - " timeseries126[\"PCRGlobWB: Sonoran Desert\"][time126] = discharge_at_station126[0]\n", - "\n", - " # Show progress\n", - " #print(time126,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "b247d9a7-00d8-4d1b-8b2a-62a3f61ccde7", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP1-2.6." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "e32dc1d3-b768-4dd3-8919-67af82b627bd", - "metadata": {}, - "outputs": [], - "source": [ - "da126 = pcrglob126.get_value_as_xarray(\"land_surface_runoff\")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "916657b4-b345-42fe-9ac5-3762ac86c595", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig126 = plt.figure(dpi=120)\n", - "ax126 = fig126.add_subplot(111, projection=crs.PlateCarree())\n", - "da126.plot(ax=ax126, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax126.add_feature(cfeature.OCEAN)\n", - "ax126.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax126.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax126.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax126.set_title(\"Sonoran Desert SSP1-2.6\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e34fe514-d9df-4b9d-9b7a-71ea07382107", - "metadata": {}, - "source": [ - "### Now for SSP4-6.0\n", - "First, set up the forcing that will be used in the model." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "3677eeee-25f6-4630-ad0e-b5691ad0e050", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "bac804af-28e9-46e7-8e3e-0254009ebf11", - "metadata": {}, - "outputs": [], - "source": [ - "forcing245 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP245/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "72866c75-a7e3-4028-8adc-43075591833d", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing245\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "11d50b22-cf60-44cb-92f8-dec10807cd6b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_120418/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_120418')" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file245, cfg_dir245 = pcrglob245.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file245, cfg_dir245" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "e53b1244-ca3f-4824-b227-f900343b3871", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob245.initialize(cfg_file245)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "509ea6fd-30d0-49d7-ab08-7bbd5f8c27ab", - "metadata": {}, - "outputs": [], - "source": [ - "time245 = pd.date_range(pcrglob245.start_time_as_isostr, pcrglob245.end_time_as_isostr)\n", - "timeseries245 = pd.DataFrame(\n", - " index=pd.Index(time245, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "ff5ac20b-2a79-4de3-80ec-8b1f1ff92ef0", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob245.time < pcrglob245.end_time:\n", - " pcrglob245.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station245 = pcrglob245.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time245 = pcrglob245.time_as_isostr\n", - " timeseries245[\"PCRGlobWB: Sonoran Desert\"][time245] = discharge_at_station245[0]\n", - "\n", - " # Show progress\n", - " #print(time245,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "37974d63-7177-4681-ac2d-4618b6aae493", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP4-6.0." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "91e9030b-b052-4d90-864c-091217f78292", - "metadata": {}, - "outputs": [], - "source": [ - "da245 = pcrglob245.get_value_as_xarray(\"land_surface_runoff\")" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "dd6408f5-0344-4f53-9c15-be1f7b7dcb67", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig245 = plt.figure(dpi=120)\n", - "ax245 = fig245.add_subplot(111, projection=crs.PlateCarree())\n", - "da245.plot(ax=ax245, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax245.add_feature(cfeature.OCEAN)\n", - "ax245.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax245.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax245.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax245.set_title(\"Sonoran Desert SSP2-4.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "febb76b8-1990-494e-aa87-ab8bb72a14e0", - "metadata": {}, - "source": [ - "### Now for SSP5-8.5\n", - "First, set up the forcing." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "3662294b-edb4-43a0-b843-34662415a949", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")\n", - "#print(parameter_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "6f60a5f7-0fbc-489a-80d5-6da781029b3a", - "metadata": {}, - "outputs": [], - "source": [ - "forcing585 = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert_CMIP_SSP585/work/diagnostic/script\",\n", - ")\n", - "#print(forcing)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "a2b305b0-26d0-4a85-8cc1-d46c0897d3bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585 = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing585\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "13f65ae0-7964-43fe-afe4-ef82d170343f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_120939/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_120939')" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#start_time = \"2025-01-01T00:00:00Z\"\n", - "#end_time = \"2025-12-31T00:00:00Z\"\n", - "\n", - "cfg_file585, cfg_dir585 = pcrglob585.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file585, cfg_dir585" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "e4a5a284-f81c-40fd-9181-eaa9369eb8a8", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob585.initialize(cfg_file585)" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "2da2e165-ffe4-404b-9836-d3ebba8e20c7", - "metadata": {}, - "outputs": [], - "source": [ - "time585 = pd.date_range(pcrglob585.start_time_as_isostr, pcrglob585.end_time_as_isostr)\n", - "timeseries585 = pd.DataFrame(\n", - " index=pd.Index(time585, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "637e5f77-1364-4615-8959-75ff18a431bd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob585.time < pcrglob585.end_time:\n", - " pcrglob585.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station585 = pcrglob585.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time585 = pcrglob585.time_as_isostr\n", - " timeseries585[\"PCRGlobWB: Sonoran Desert\"][time585] = discharge_at_station585[0]\n", - "\n", - " # Show progress\n", - " #print(time585,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "92793746-27c5-4762-8646-00335146db96", - "metadata": {}, - "source": [ - "Now the model can be used. A map is made to show the location of the ... for SSP5-8.5." - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "9b397721-1fb5-4b52-a73e-504d3fec2ed4", - "metadata": {}, - "outputs": [], - "source": [ - "da585 = pcrglob585.get_value_as_xarray(\"total_evaporation\")" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "cdb73527-fc01-4a0e-a60e-0a3efcadcd87", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig585 = plt.figure(dpi=120)\n", - "ax585 = fig585.add_subplot(111, projection=crs.PlateCarree())\n", - "da585.plot(ax=ax585, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax585.add_feature(cfeature.OCEAN)\n", - "ax585.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax585.coastlines()\n", - "\n", - "# Add a red cross marker at specified location near the Gila River\n", - "ax585.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)\n", - "ax585.set_title(\"Sonoran Desert SSP5-8.5\", fontsize=12);" - ] - }, - { - "cell_type": "markdown", - "id": "e0715da0-88a2-4d51-8fd1-1d2de40a9c9a", - "metadata": {}, - "source": [ - "### Plotting the timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "0c3bf6f1-0576-417d-9454-d996cb17c40b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(timeseries126*1000, label=\"SSP1-2.6\", color=\"green\")\n", - "plt.plot(timeseries245*1000, label=\"SSP2-4.5\", color=\"darkblue\")\n", - "plt.plot(timeseries585*1000, label=\"SSP5-8.5\", color=\"orange\")\n", - "\n", - "plt.title(\"Land surface runoff CMIP6 (aug 2025)\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Runoff [mm/day]\")\n", - "plt.xticks(rotation=45, ha='right')\n", - "plt.legend(loc=1);" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "14b7a686-644f-48d8-a957-8ca6415673af", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob126.finalize()\n", - "pcrglob245.finalize()\n", - "pcrglob585.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f86520ce-4217-4765-a966-3ad46d71a97f", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_ERA5.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_ERA5.ipynb deleted file mode 100644 index 72c58d8..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_ERA5.ipynb +++ /dev/null @@ -1,314 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "b1e20075-aa66-4499-87af-f7146360c28f", - "metadata": {}, - "source": [ - "# Sonoran Desert: ERA5\n", - "#### Discharge in 2024\n", - "Simulation of the discharge of the Gila River in 2024, using the historical data of ERA5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "3ca52461-f9ec-47fc-9d67-950e48e3b7b2", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "57399c47-4d03-42bb-9eaf-dede6eeb7490", - "metadata": {}, - "source": [ - "### Setting up the model: SSP1-2.6\n", - "Creating the parameter dataset and the forcing dataset at the Gila River, near Yuma. Next, these datasets are used to set up the pcrglobwb model." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "1ce74ebe-dd3e-4642-93c3-dbd2768f2660", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "545a4407-2ce0-45d5-b146-ab3b50ac736c", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "a63ab0cc-6ac5-4fee-bdd8-2894b19247b6", - "metadata": {}, - "outputs": [], - "source": [ - "forcing = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "47939a11-2250-42be-81cf-26f3af0bc6bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "2cd9e137-69ed-4570-8c9f-c9e1e1492a9a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_185031/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250105_185031')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg_file, cfg_dir = pcrglob.setup(\n", - " end_time=\"1997-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file, cfg_dir" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "9dcf2905-02a4-4237-ac10-ada0fe5f92b2", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob.initialize(cfg_file)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "4503aa9d-d696-434b-8618-e4b78216e7c8", - "metadata": {}, - "outputs": [], - "source": [ - "time = pd.date_range(pcrglob.start_time_as_isostr, pcrglob.end_time_as_isostr)\n", - "timeseries = pd.DataFrame(\n", - " index=pd.Index(time, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "fa1fbb53-f4df-420c-9e0c-4500c1c6a3dd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob.time < pcrglob.end_time:\n", - " pcrglob.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station = pcrglob.get_value_at_coords(\n", - " \"discharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time = pcrglob.time_as_isostr\n", - " timeseries[\"PCRGlobWB: Sonoran Desert\"][time] = discharge_at_station[0]\n", - " # Show progress\n", - " #print(time,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "9c87b055-7a8a-4a2e-ab91-638497017122", - "metadata": {}, - "source": [ - "Now, the data can simulate a map that shows the discharge in the Sonoran Desert. This is also creates a graph for the year ..." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "65b4c259-01d5-45a0-b6df-a29271f1b09b", - "metadata": {}, - "outputs": [], - "source": [ - "da = pcrglob.get_value_as_xarray(\"discharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "0d9859dc-e819-49c2-b973-8ceee7da7f32", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(dpi=120)\n", - "ax = fig.add_subplot(111, projection=crs.PlateCarree())\n", - "da.plot(ax=ax, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax.add_feature(cfeature.OCEAN)\n", - "ax.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax.coastlines()\n", - "\n", - "# Add a red cross marker at the location of the Leven River at Newby Bridge\n", - "ax.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "bf70a067-9541-4ef5-b336-f952e2403e13", - "metadata": {}, - "outputs": [], - "source": [ - "prepared_forcing_path_caravan_central = \"/home/emol/forcing/caravan/hysets_09488650\"\n", - "caravan_forcing = ewatercycle.forcing.sources['CaravanForcing'].load(directory=\"/home/emol/forcing/caravan/hysets_09488650\")\n", - "xr_caravan_forcing = xr.open_dataset(caravan_forcing['Q'])" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "786ba6e4-344e-400f-91e4-f6ef566a7362", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "timeseries.plot()\n", - "xr_caravan_forcing[\"Q\"].plot(label=\"Observed discharge\", color = \"orange\")\n", - "plt.axhline(y=0.0567, color=\"red\", linestyle=\"--\", label=\"Threshold\")\n", - "plt.title(\"Gila River ERA5 (2024)\")\n", - "plt.legend()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "f80716d9-1b40-4d5f-9ab0-352fdb03951f", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dd64f7ed-5bdd-4820-b4f9-4adff3d3e480", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_ERA5_approx.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_ERA5_approx.ipynb deleted file mode 100644 index a556b60..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/sonoran_desert_ERA5_approx.ipynb +++ /dev/null @@ -1,338 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "b1e20075-aa66-4499-87af-f7146360c28f", - "metadata": {}, - "source": [ - "# Sonoran Desert: ERA5\n", - "#### Discharge in 2024\n", - "Simulation of the discharge of the Gila River in 2024, using the historical data of ERA5. The camel that is used for this notebook is: hysets_09488650" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "3ca52461-f9ec-47fc-9d67-950e48e3b7b2", - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "markdown", - "id": "57399c47-4d03-42bb-9eaf-dede6eeb7490", - "metadata": {}, - "source": [ - "### Setting up the model: SSP1-2.6\n", - "Creating the parameter dataset and the forcing dataset at the Gila River, near Yuma. Next, these datasets are used to set up the pcrglobwb model." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "1ce74ebe-dd3e-4642-93c3-dbd2768f2660", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.71555556\n", - "station_longitude = -114.533386" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "545a4407-2ce0-45d5-b146-ab3b50ac736c", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_ERA5_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "a63ab0cc-6ac5-4fee-bdd8-2894b19247b6", - "metadata": {}, - "outputs": [], - "source": [ - "forcing = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/sonoran_desert/work/diagnostic/script\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "47939a11-2250-42be-81cf-26f3af0bc6bc", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "2cd9e137-69ed-4570-8c9f-c9e1e1492a9a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_114954/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Deliverables/pcrglobwb_20250107_114954')" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg_file, cfg_dir = pcrglob.setup(\n", - " end_time=\"1997-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file, cfg_dir" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "9dcf2905-02a4-4237-ac10-ada0fe5f92b2", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob.initialize(cfg_file)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "4503aa9d-d696-434b-8618-e4b78216e7c8", - "metadata": {}, - "outputs": [], - "source": [ - "time = pd.date_range(pcrglob.start_time_as_isostr, pcrglob.end_time_as_isostr)\n", - "timeseries = pd.DataFrame(\n", - " index=pd.Index(time, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")\n", - "\n", - "recharge = pd.DataFrame(\n", - " index=pd.Index(time, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "fa1fbb53-f4df-420c-9e0c-4500c1c6a3dd", - "metadata": {}, - "outputs": [], - "source": [ - "while pcrglob.time < pcrglob.end_time:\n", - " pcrglob.update()\n", - "\n", - " precipitation_at_station = pcrglob.get_value_at_coords(\n", - " \"precipitation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - "\n", - " landsurface_at_station = pcrglob.get_value_at_coords(\n", - " \"land_surface_runoff\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " evaporation_at_station = pcrglob.get_value_at_coords(\n", - " \"total_evaporation\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " recharge_at_station = pcrglob.get_value_at_coords(\n", - " \"groundwater_recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " \n", - " time = pcrglob.time_as_isostr\n", - " timeseries[\"PCRGlobWB: Sonoran Desert\"][time] = precipitation_at_station[0] + landsurface_at_station[0] - evaporation_at_station[0] \n", - " recharge[\"PCRGlobWB: Sonoran Desert\"][time] = recharge_at_station[0]\n", - " # Show progress\n", - " #print(time,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "9c87b055-7a8a-4a2e-ab91-638497017122", - "metadata": {}, - "source": [ - "Now, the data can simulate a map that shows the discharge in the Sonoran Desert. This is also creates a graph for the year ..." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "65b4c259-01d5-45a0-b6df-a29271f1b09b", - "metadata": {}, - "outputs": [], - "source": [ - "da = pcrglob.get_value_as_xarray(\"discharge\")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "0d9859dc-e819-49c2-b973-8ceee7da7f32", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(dpi=120)\n", - "ax = fig.add_subplot(111, projection=crs.PlateCarree())\n", - "da.plot(ax=ax, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax.add_feature(cfeature.OCEAN)\n", - "ax.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax.coastlines()\n", - "\n", - "# Add a red cross marker at the location of the Leven River at Newby Bridge\n", - "ax.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "786ba6e4-344e-400f-91e4-f6ef566a7362", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(timeseries*1000, label=\"ERA5 Approx.\", color=\"orange\")\n", - "plt.plot(recharge*1000, label=\"ERA5 Recharge\", color=\"darkblue\")\n", - "#plt.axhline(y=0.0567, color=\"red\", linestyle=\"--\", label=\"Threshold\")\n", - "plt.title(\"Groundwater Recharge vs Approximated Groundwater Recharge (ERA5, aug 2024)\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Groundwater Recharge [mm/day]\")\n", - "plt.xticks(rotation=45, ha='right')\n", - "plt.legend();" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "1cd56dfe-b57b-46ef-9865-bb8c39127785", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(recharge*1000, label=\"ERA5 Recharge\", color=\"darkblue\")\n", - "plt.title(\"PCR-GlobWB Groundwater Recharge (ERA5, aug 2024)\")\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Groundwater Recharge [mm/day]\")\n", - "plt.xticks(rotation=45, ha='right')\n", - "plt.legend();" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f80716d9-1b40-4d5f-9ab0-352fdb03951f", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dd64f7ed-5bdd-4820-b4f9-4adff3d3e480", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/example_model_run_pcrglobwb.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/example_model_run_pcrglobwb.ipynb deleted file mode 100644 index 2e5fd05..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/example_model_run_pcrglobwb.ipynb +++ /dev/null @@ -1,721 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "e5442182", - "metadata": {}, - "source": [ - "![ewatercycle logo](https://raw.githubusercontent.com/eWaterCycle/ewatercycle/main/docs/examples/logo.png)\n", - "\n", - "# PCRGlobWB example use case: CMIP6\n", - "\n", - "This example shows how the [PCRGlobWB model](https://globalhydrology.nl/research/models/pcr-globwb-2-0/) can be used within the eWaterCycle system. It is assumed you have already seen [this tutorial notebook](../../example_model_run_HBV.ipynb) explaining how to run the simple HBV model for the River Leven at Newby Bridge. \n", - "\n", - "The PCRGlobWB model is an example of a distributed model where fluxes and stores in the balance are calculated for grid cells (often also called pixels). This requires both the forcing data as well as any parameters to also be spatially distributed. Depending on the complexity of the model, these datasets can be quite large in memory size.\n", - "\n", - "Here we will be running PCRGLobWB for Great Brittain and will extract discharge data at the location of the River Leven again, to compare with the HBV model run. We will also demonstrate how to interact with the state of the model, during runtime, showcasing the benefit of using the BMI interface when building experiments using models." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "424992ea", - "metadata": {}, - "outputs": [], - "source": [ - "# This cell is only used to suppress some distracting output messages\n", - "import warnings\n", - "\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "cec50ce3", - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "from cartopy import crs\n", - "from cartopy import feature as cfeature\n", - "import fiona\n", - "import shapely.geometry\n", - "from pyproj import Geod\n", - "from rich import print\n", - "import pandas as pd\n", - "import xarray as xr\n", - "\n", - "import ewatercycle.forcing\n", - "import ewatercycle.models\n", - "import ewatercycle.parameter_sets" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "3f186494-1f05-445d-8663-306591c87320", - "metadata": {}, - "outputs": [], - "source": [ - "station_latitude = 32.76108802182168 #Gila near Yuma\n", - "station_longitude = -114.41721725761596" - ] - }, - { - "cell_type": "markdown", - "id": "194f357f", - "metadata": {}, - "source": [ - "## Loading a parameter set" - ] - }, - { - "cell_type": "markdown", - "id": "1cdf38a2", - "metadata": {}, - "source": [ - "For this example we have prepared and hosted a global parameter set made by Utrecht University. For each model run, what needs to be specified to deliniate the region of interest is a \"clone map\". The config file has many options, one of which is the location of this clone map.\n", - "\n", - "Note that this is very specific to PCRGlobWB. For complex (and legacy) models like PCRGlobWB one needs to know quite detailed information about the model before being able to run it. However, using eWaterCycle does reduce the time for seting up the model and getting it to run." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "3d38bc4c-fec2-4572-983b-376edbaefde3", - "metadata": {}, - "outputs": [], - "source": [ - "parameter_set = ewatercycle.parameter_sets.ParameterSet(\n", - " name=\"custom_parameter_set\",\n", - " directory= \"/data/shared/parameter-sets/pcrglobwb_global\",\n", - " config=\"./pcrglobwb_sonoran_mpi-esm1-2-hr_05min.ini\",\n", - " target_model=\"pcrglobwb\",\n", - " supported_model_versions={\"setters\"},\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "fbabe50c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
ParameterSet(\n",
-       "    name='custom_parameter_set',\n",
-       "    directory=PosixPath('/data/shared/parameter-sets/pcrglobwb_global'),\n",
-       "    config=PosixPath('pcrglobwb_sonoran_mpi-esm1-2-hr_05min.ini'),\n",
-       "    doi='N/A',\n",
-       "    target_model='pcrglobwb',\n",
-       "    supported_model_versions={'setters'},\n",
-       "    downloader=None\n",
-       ")\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;35mParameterSet\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33mname\u001b[0m=\u001b[32m'custom_parameter_set'\u001b[0m,\n", - " \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/data/shared/parameter-sets/pcrglobwb_global'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mconfig\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'pcrglobwb_sonoran_mpi-esm1-2-hr_05min.ini'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mdoi\u001b[0m=\u001b[32m'N/A'\u001b[0m,\n", - " \u001b[33mtarget_model\u001b[0m=\u001b[32m'pcrglobwb'\u001b[0m,\n", - " \u001b[33msupported_model_versions\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'setters'\u001b[0m\u001b[1m}\u001b[0m,\n", - " \u001b[33mdownloader\u001b[0m=\u001b[3;35mNone\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(parameter_set)" - ] - }, - { - "cell_type": "markdown", - "id": "1271ae04", - "metadata": {}, - "source": [ - "## Load forcing data\n", - "\n", - "For this example case, the forcing is generated in [this seperate notebook](generate_forcing.ipynb). This is a common practice when generating forcing takes considerable (CPU, memory, disk) resources. \n", - "\n", - "In the cell below, we load the pre-generated forcing. Note that in contrast with HBV, PCRGlobWB only needs temperature and precipitation as forcing inputs. HBV also needs potential evaporation. PCRGlobWB calculated potential and actual evaporation as part of its update step." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "870c4af6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
PCRGlobWBForcing(\n",
-       "    start_time='2025-08-01T00:00:00Z',\n",
-       "    end_time='2030-08-31T00:00:00Z',\n",
-       "    directory=PosixPath('/home/emol/forcing/csonoran_desert/work/diagnostic/script'),\n",
-       "    shape=PosixPath('/home/emol/forcing/csonoran_desert/work/diagnostic/script/hysets_09488650.shp'),\n",
-       "    filenames={},\n",
-       "    precipitationNC='pcrglobwb_CMIP6_MPI-ESM1-2-HR_day_ssp585_r1i1p1f1_pr_gn_2025-2030_hysets_09488650.nc',\n",
-       "    temperatureNC='pcrglobwb_CMIP6_MPI-ESM1-2-HR_day_ssp585_r1i1p1f1_tas_gn_2025-2030_hysets_09488650.nc'\n",
-       ")\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;35mPCRGlobWBForcing\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33mstart_time\u001b[0m=\u001b[32m'2025-08-01T00:00:00Z'\u001b[0m,\n", - " \u001b[33mend_time\u001b[0m=\u001b[32m'2030-08-31T00:00:00Z'\u001b[0m,\n", - " \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/emol/forcing/csonoran_desert/work/diagnostic/script'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/emol/forcing/csonoran_desert/work/diagnostic/script/hysets_09488650.shp'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\u001b[1m}\u001b[0m,\n", - " \u001b[33mprecipitationNC\u001b[0m=\u001b[32m'pcrglobwb_CMIP6_MPI-ESM1-2-HR_day_ssp585_r1i1p1f1_pr_gn_2025-2030_hysets_09488650.nc'\u001b[0m,\n", - " \u001b[33mtemperatureNC\u001b[0m=\u001b[32m'pcrglobwb_CMIP6_MPI-ESM1-2-HR_day_ssp585_r1i1p1f1_tas_gn_2025-2030_hysets_09488650.nc'\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "forcing = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].load(\n", - " directory=\"/home/emol/forcing/csonoran_desert/work/diagnostic/script\",\n", - ")\n", - "print(forcing)" - ] - }, - { - "cell_type": "markdown", - "id": "d5b82a92", - "metadata": {}, - "source": [ - "## Setting up the model\n", - "\n", - "Note that the model version and the parameterset versions should be compatible." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "08a4ed9e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
PCRGlobWB(\n",
-       "    parameter_set=ParameterSet(\n",
-       "        name='custom_parameter_set',\n",
-       "        directory=PosixPath('/data/shared/parameter-sets/pcrglobwb_global'),\n",
-       "        config=PosixPath('pcrglobwb_sonoran_mpi-esm1-2-hr_05min.ini'),\n",
-       "        doi='N/A',\n",
-       "        target_model='pcrglobwb',\n",
-       "        supported_model_versions={'setters'},\n",
-       "        downloader=None\n",
-       "    ),\n",
-       "    forcing=PCRGlobWBForcing(\n",
-       "        start_time='2025-08-01T00:00:00Z',\n",
-       "        end_time='2030-08-31T00:00:00Z',\n",
-       "        directory=PosixPath('/home/emol/forcing/csonoran_desert/work/diagnostic/script'),\n",
-       "        shape=PosixPath('/home/emol/forcing/csonoran_desert/work/diagnostic/script/hysets_09488650.shp'),\n",
-       "        filenames={},\n",
-       "        precipitationNC='pcrglobwb_CMIP6_MPI-ESM1-2-HR_day_ssp585_r1i1p1f1_pr_gn_2025-2030_hysets_09488650.nc',\n",
-       "        temperatureNC='pcrglobwb_CMIP6_MPI-ESM1-2-HR_day_ssp585_r1i1p1f1_tas_gn_2025-2030_hysets_09488650.nc'\n",
-       "    )\n",
-       ")\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;35mPCRGlobWB\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33mparameter_set\u001b[0m=\u001b[1;35mParameterSet\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33mname\u001b[0m=\u001b[32m'custom_parameter_set'\u001b[0m,\n", - " \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/data/shared/parameter-sets/pcrglobwb_global'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mconfig\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'pcrglobwb_sonoran_mpi-esm1-2-hr_05min.ini'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mdoi\u001b[0m=\u001b[32m'N/A'\u001b[0m,\n", - " \u001b[33mtarget_model\u001b[0m=\u001b[32m'pcrglobwb'\u001b[0m,\n", - " \u001b[33msupported_model_versions\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'setters'\u001b[0m\u001b[1m}\u001b[0m,\n", - " \u001b[33mdownloader\u001b[0m=\u001b[3;35mNone\u001b[0m\n", - " \u001b[1m)\u001b[0m,\n", - " \u001b[33mforcing\u001b[0m=\u001b[1;35mPCRGlobWBForcing\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33mstart_time\u001b[0m=\u001b[32m'2025-08-01T00:00:00Z'\u001b[0m,\n", - " \u001b[33mend_time\u001b[0m=\u001b[32m'2030-08-31T00:00:00Z'\u001b[0m,\n", - " \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/emol/forcing/csonoran_desert/work/diagnostic/script'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/emol/forcing/csonoran_desert/work/diagnostic/script/hysets_09488650.shp'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\u001b[1m}\u001b[0m,\n", - " \u001b[33mprecipitationNC\u001b[0m=\u001b[32m'pcrglobwb_CMIP6_MPI-ESM1-2-HR_day_ssp585_r1i1p1f1_pr_gn_2025-2030_hysets_09488650.nc'\u001b[0m,\n", - " \u001b[33mtemperatureNC\u001b[0m=\u001b[32m'pcrglobwb_CMIP6_MPI-ESM1-2-HR_day_ssp585_r1i1p1f1_tas_gn_2025-2030_hysets_09488650.nc'\u001b[0m\n", - " \u001b[1m)\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "pcrglob = ewatercycle.models.PCRGlobWB(\n", - " parameter_set=parameter_set,\n", - " forcing=forcing\n", - ")\n", - "print(pcrglob)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "a45eba5c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'setters'" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pcrglob.version" - ] - }, - { - "cell_type": "markdown", - "id": "a69e1212", - "metadata": {}, - "source": [ - "eWaterCycle exposes a selected set of configurable parameters. These can be modified in the `setup()` method." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "4a62965a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
dict_items([('start_time', '2025-08-01T00:00:00Z'), ('end_time', '2025-08-01T00:00:00Z'), ('routing_method', \n",
-       "'accuTravelTime'), ('max_spinups_in_years', '0')])\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;35mdict_items\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'start_time'\u001b[0m, \u001b[32m'2025-08-01T00:00:00Z'\u001b[0m\u001b[1m)\u001b[0m, \u001b[1m(\u001b[0m\u001b[32m'end_time'\u001b[0m, \u001b[32m'2025-08-01T00:00:00Z'\u001b[0m\u001b[1m)\u001b[0m, \u001b[1m(\u001b[0m\u001b[32m'routing_method'\u001b[0m, \n", - "\u001b[32m'accuTravelTime'\u001b[0m\u001b[1m)\u001b[0m, \u001b[1m(\u001b[0m\u001b[32m'max_spinups_in_years'\u001b[0m, \u001b[32m'0'\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(pcrglob.parameters)" - ] - }, - { - "cell_type": "markdown", - "id": "2a27869b", - "metadata": {}, - "source": [ - "Calling `setup()` will start up the model container. Be careful with calling it multiple times!" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "cc852425", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/pcrglobwb_20241217_092442/pcrglobwb_ewatercycle.ini',\n", - " '/home/emol/repos/projects/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/pcrglobwb_20241217_092442')" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cfg_file, cfg_dir = pcrglob.setup(\n", - " end_time=\"2025-08-31T00:00:00Z\",\n", - " max_spinups_in_years=0\n", - ")\n", - "cfg_file, cfg_dir" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "4456b5e2", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
dict_items([('start_time', '2025-08-01T00:00:00Z'), ('end_time', '2025-08-31T00:00:00Z'), ('routing_method', \n",
-       "'accuTravelTime'), ('max_spinups_in_years', '0')])\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;35mdict_items\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'start_time'\u001b[0m, \u001b[32m'2025-08-01T00:00:00Z'\u001b[0m\u001b[1m)\u001b[0m, \u001b[1m(\u001b[0m\u001b[32m'end_time'\u001b[0m, \u001b[32m'2025-08-31T00:00:00Z'\u001b[0m\u001b[1m)\u001b[0m, \u001b[1m(\u001b[0m\u001b[32m'routing_method'\u001b[0m, \n", - "\u001b[32m'accuTravelTime'\u001b[0m\u001b[1m)\u001b[0m, \u001b[1m(\u001b[0m\u001b[32m'max_spinups_in_years'\u001b[0m, \u001b[32m'0'\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(pcrglob.parameters)" - ] - }, - { - "cell_type": "markdown", - "id": "0480d34c", - "metadata": {}, - "source": [ - "Note that the parameters have been changed. A new config file which incorporates these updated parameters has been generated as well. If you want to see or modify any additional model settings, you can acces this file directly. When you're ready, pass the path to the config file to `initialize()`." - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "87144041", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob.initialize(cfg_file)" - ] - }, - { - "cell_type": "markdown", - "id": "f16e18c7-88b1-4019-9281-44a4a51d21d0", - "metadata": {}, - "source": [ - "We prepare a small dataframe where we can store the discharge output from the model" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "664b32b6-2b4c-49f1-be5a-b451fceb9ecc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
PCRGlobWB: Sonoran Desert
time
2025-08-01 00:00:00+00:00NaN
2025-08-02 00:00:00+00:00NaN
2025-08-03 00:00:00+00:00NaN
2025-08-04 00:00:00+00:00NaN
2025-08-05 00:00:00+00:00NaN
\n", - "
" - ], - "text/plain": [ - " PCRGlobWB: Sonoran Desert\n", - "time \n", - "2025-08-01 00:00:00+00:00 NaN\n", - "2025-08-02 00:00:00+00:00 NaN\n", - "2025-08-03 00:00:00+00:00 NaN\n", - "2025-08-04 00:00:00+00:00 NaN\n", - "2025-08-05 00:00:00+00:00 NaN" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "time = pd.date_range(pcrglob.start_time_as_isostr, pcrglob.end_time_as_isostr)\n", - "timeseries = pd.DataFrame(\n", - " index=pd.Index(time, name=\"time\"), columns=[\"PCRGlobWB: Sonoran Desert\"]\n", - ")\n", - "timeseries.head()" - ] - }, - { - "cell_type": "markdown", - "id": "f0f4987f", - "metadata": {}, - "source": [ - "## Running the model\n", - "\n", - "Simply running the model from start to end is straightforward. At each time step we can retrieve information from the model." - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "403d55e6", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "ename": "_InactiveRpcError", - "evalue": "<_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.UNKNOWN\n\tdetails = \"Exception calling application: Size mismatch: Number of array elements is 20449, number of raster cells is 20736\"\n\tdebug_error_string = \"UNKNOWN:Error received from peer {created_time:\"2024-12-17T10:25:29.874295642+01:00\", grpc_status:2, grpc_message:\"Exception calling application: Size mismatch: Number of array elements is 20449, number of raster cells is 20736\"}\"\n>", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31m_InactiveRpcError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[28], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m pcrglob\u001b[38;5;241m.\u001b[39mtime \u001b[38;5;241m<\u001b[39m pcrglob\u001b[38;5;241m.\u001b[39mend_time:\n\u001b[0;32m----> 2\u001b[0m \u001b[43mpcrglob\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[38;5;66;03m# Track discharge at station location\u001b[39;00m\n\u001b[1;32m 5\u001b[0m discharge_at_station \u001b[38;5;241m=\u001b[39m pcrglob\u001b[38;5;241m.\u001b[39mget_value_at_coords(\n\u001b[1;32m 6\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgroundwater recharge\u001b[39m\u001b[38;5;124m\"\u001b[39m, lat\u001b[38;5;241m=\u001b[39m[station_latitude], lon\u001b[38;5;241m=\u001b[39m[station_longitude]\n\u001b[1;32m 7\u001b[0m )\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/base/model.py:182\u001b[0m, in \u001b[0;36meWaterCycleModel.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 181\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Advance model state by one time step.\"\"\"\u001b[39;00m\n\u001b[0;32m--> 182\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_bmi\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_optionaldest.py:52\u001b[0m, in \u001b[0;36mOptionalDestBmi.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 51\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m---> 52\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_memoized.py:60\u001b[0m, in \u001b[0;36mMemoizedBmi.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 59\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m---> 60\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/ewatercycle/container.py:453\u001b[0m, in \u001b[0;36mBmiProxy.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 452\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 453\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_grpc_client.py:107\u001b[0m, in \u001b[0;36mBmiClient.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstub\u001b[38;5;241m.\u001b[39mupdate(bmi_pb2\u001b[38;5;241m.\u001b[39mEmpty())\n\u001b[1;32m 106\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m grpc\u001b[38;5;241m.\u001b[39mRpcError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m--> 107\u001b[0m \u001b[43mhandle_error\u001b[49m\u001b[43m(\u001b[49m\u001b[43me\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc4bmi/bmi_grpc_client.py:105\u001b[0m, in \u001b[0;36mBmiClient.update\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 103\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 104\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 105\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstub\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbmi_pb2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mEmpty\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 106\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m grpc\u001b[38;5;241m.\u001b[39mRpcError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 107\u001b[0m handle_error(e)\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc/_channel.py:1176\u001b[0m, in \u001b[0;36m_UnaryUnaryMultiCallable.__call__\u001b[0;34m(self, request, timeout, metadata, credentials, wait_for_ready, compression)\u001b[0m\n\u001b[1;32m 1161\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\n\u001b[1;32m 1162\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 1163\u001b[0m request: Any,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1168\u001b[0m compression: Optional[grpc\u001b[38;5;241m.\u001b[39mCompression] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 1169\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[1;32m 1170\u001b[0m (\n\u001b[1;32m 1171\u001b[0m state,\n\u001b[1;32m 1172\u001b[0m call,\n\u001b[1;32m 1173\u001b[0m ) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_blocking(\n\u001b[1;32m 1174\u001b[0m request, timeout, metadata, credentials, wait_for_ready, compression\n\u001b[1;32m 1175\u001b[0m )\n\u001b[0;32m-> 1176\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_end_unary_response_blocking\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstate\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcall\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/envs/ewatercycle2/lib/python3.12/site-packages/grpc/_channel.py:1005\u001b[0m, in \u001b[0;36m_end_unary_response_blocking\u001b[0;34m(state, call, with_call, deadline)\u001b[0m\n\u001b[1;32m 1003\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m state\u001b[38;5;241m.\u001b[39mresponse\n\u001b[1;32m 1004\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1005\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m _InactiveRpcError(state)\n", - "\u001b[0;31m_InactiveRpcError\u001b[0m: <_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.UNKNOWN\n\tdetails = \"Exception calling application: Size mismatch: Number of array elements is 20449, number of raster cells is 20736\"\n\tdebug_error_string = \"UNKNOWN:Error received from peer {created_time:\"2024-12-17T10:25:29.874295642+01:00\", grpc_status:2, grpc_message:\"Exception calling application: Size mismatch: Number of array elements is 20449, number of raster cells is 20736\"}\"\n>" - ] - } - ], - "source": [ - "while pcrglob.time < pcrglob.end_time:\n", - " pcrglob.update()\n", - "\n", - " # Track discharge at station location\n", - " discharge_at_station = pcrglob.get_value_at_coords(\n", - " \"groundwater recharge\", lat=[station_latitude], lon=[station_longitude]\n", - " )\n", - " time = pcrglob.time_as_isostr\n", - " timeseries[\"PCRGlobWB: Sonoran Desert\"][time] = discharge_at_station[0]\n", - "\n", - " # Show progress\n", - " print(time,end='\\r') # \"\\r\" clears the output before printing the next timestamp\n" - ] - }, - { - "cell_type": "markdown", - "id": "53a937e8", - "metadata": {}, - "source": [ - "## Interacting with the model" - ] - }, - { - "cell_type": "markdown", - "id": "3ce583fa", - "metadata": {}, - "source": [ - "PCRGlobWB exposes many variables. Just a few of them are shown here:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "23d55863", - "metadata": {}, - "outputs": [], - "source": [ - "#list(pcrglob.output_var_names)[-15:-5]" - ] - }, - { - "cell_type": "markdown", - "id": "bc3037d6", - "metadata": {}, - "source": [ - "Model fields can be fetched as xarray objects (or as flat numpy arrays using `get_value()`):" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b37943a9", - "metadata": {}, - "outputs": [], - "source": [ - "da = pcrglob.get_value_as_xarray(\"groundwater recharge\")\n", - "da.thin(5) # only show every 5th value in each dim" - ] - }, - { - "cell_type": "markdown", - "id": "b68de73f", - "metadata": {}, - "source": [ - "Xarray makes it very easy to plot the data. In the figure below, we add a cross at the location where we collected the discharge every timestep: Leven at Newby bridge." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f30ab9b3", - "metadata": {}, - "outputs": [], - "source": [ - "fig = plt.figure(dpi=120)\n", - "ax = fig.add_subplot(111, projection=crs.PlateCarree())\n", - "da.plot(ax=ax, cmap=\"GnBu\")\n", - "\n", - "# Overlay ocean and coastines\n", - "ax.add_feature(cfeature.OCEAN)\n", - "ax.add_feature(cfeature.RIVERS, color=\"k\")\n", - "ax.coastlines()\n", - "\n", - "# Add a red cross marker at the location of the Leven River at Newby Bridge\n", - "ax.scatter(station_longitude, station_latitude, s=250, c=\"r\", marker=\"x\", lw=2)" - ] - }, - { - "cell_type": "markdown", - "id": "418c4d74", - "metadata": {}, - "source": [ - "We can get (or set) the values at custom points as well:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "eb8a054b-44dc-4bdc-8179-c3796af26c2e", - "metadata": {}, - "outputs": [], - "source": [ - "#extra\n", - "timeseries.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "e68ed4a2-82c9-482c-a51b-8973cd009091", - "metadata": {}, - "source": [ - "We of course want to compare this both to observations as well as to the result of the HBV model.\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f62de858-940c-46d2-b5ac-5b5268609911", - "metadata": {}, - "outputs": [], - "source": [ - "prepared_forcing_path_caravan_central = \"/home/emol/forcing/caravan/camelsgb_73010\"\n", - "caravan_forcing = ewatercycle.forcing.sources['CaravanForcing'].load(directory=\"/home/rhut/forcing/caravan/hysets_09488650\")\n", - "xr_caravan_forcing = xr.open_dataset(caravan_forcing['Q'])\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "05522b52-eb4a-458e-a44d-cda10229e0be", - "metadata": {}, - "outputs": [], - "source": [ - "timeseries.plot()\n", - "xr_caravan_forcing[\"Q\"].plot(label=\"Observed discharge\")\n", - "\n", - "plt.legend()" - ] - }, - { - "cell_type": "markdown", - "id": "c3479c71", - "metadata": {}, - "source": [ - "## Cleaning up\n", - "\n", - "Models usually perform some \"wrap up tasks\" at the end of a model run, such as writing the last outputs to disk and releasing memory. In the case of eWaterCycle, another important teardown task is destroying the container in which the model was running. This can free up a lot of resources on your system. Therefore it is good practice to always call `finalize()` when you're done with an experiment." - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "b5846be2", - "metadata": {}, - "outputs": [], - "source": [ - "pcrglob.finalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "73a24d2a-8087-4818-9b6f-d256f0ae31f5", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/generate_clonemaps.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/generate_clonemaps.ipynb deleted file mode 100644 index 13f5d42..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/generate_clonemaps.ipynb +++ /dev/null @@ -1,125 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "61349563-68d3-4695-8c2c-24653662dffa", - "metadata": {}, - "outputs": [], - "source": [ - "import subprocess" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "8f76339f-9809-4ff5-863c-1d274993001a", - "metadata": {}, - "outputs": [], - "source": [ - "# Catchment bounding boxes\n", - "clonemap_extents = {\n", - " \"sonoran_desert_MPI-ESM1-2-HR\": {\"latitude\": (24, 36), \"longitude\": (-120, -108)},\n", - " #\"sonoran_desert\": {\"latitude\": (25, 34), \"longitude\": (-116, -110)},\n", - " #\"UK\": {\"latitude\": (49, 61), \"longitude\": (-6, 22.5)},\n", - " #\"Great_Kei\": {\"latitude\": (-34.5, -30.0), \"longitude\": (24.0, 30.0)},\n", - " #\"Merrimack\": {\"latitude\": (40.5, 45.0), \"longitude\": (-73.5, -69.0)},\n", - " #\"Meuse\": {\"latitude\": (46.5, 52.5), \"longitude\": (1.5, 7.5)},\n", - " #\"Rhine\": {\"latitude\": (45.0, 54.0), \"longitude\": (3.0, 13.5)},\n", - " #\"Savannah\": {\"latitude\": (30.0, 36), \"longitude\": (-85.5, -79.5)},\n", - "}\n", - "\n", - "# Set the extent of the forcing data suffiently larger than the clonemap.\n", - "esmvaltool_padding = 6 # degrees lat/lon" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "db657bd7", - "metadata": {}, - "outputs": [], - "source": [ - "def create_clonemap(lonmin, latmin, lonmax, latmax, forcing_resolution, catchment):\n", - " \"\"\"Create new clonemap compatible with forcing data resolution.\"\"\"\n", - " dlon = lonmax - lonmin\n", - " dlat = latmax - latmin\n", - "\n", - " msg = (\n", - " \"The clonemap extent divided by the forcing resolution must yield\"\n", - " \"an integer number of grid cells.\"\n", - " )\n", - " assert dlon % forcing_resolution == 0, f\"Longitudes not compatible. {msg}\"\n", - " assert dlat % forcing_resolution == 0, f\"Latitudes not compatible. {msg}\"\n", - "\n", - " clonemap_dir = (\n", - " \"/data/shared/parameter-sets/pcrglobwb_global/global_05min/cloneMaps\"\n", - " )\n", - " globalclonemap = clonemap_dir + \"/clone_global_05min.map\"\n", - " outputclonemap = f\"./{catchment.lower()}_05min.map\" # copy to clonemap dir after ensuring it is correct\n", - "\n", - " subprocess.call(\n", - " f\"gdal_translate -of PCRaster {globalclonemap} -projwin \"\n", - " f\"{lonmin} {latmax} {lonmax} {latmin} {outputclonemap}\",\n", - " shell=True,\n", - " )\n", - " return outputclonemap" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "3afb9c1d-cecc-4e54-967f-40d16f85af5f", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Input file size is 4320, 2160\n", - "0...10...20...30...40...50...60...70...80...90...100 - done.\n", - "./sonoran_desert_mpi-esm1-2-hr_05min.map\n" - ] - } - ], - "source": [ - "forcing_resolution = 1\n", - "for (catchment, extents) in clonemap_extents.items():\n", - " latmin, latmax = extents[\"latitude\"]\n", - " lonmin, lonmax = extents[\"longitude\"]\n", - " print(\n", - " create_clonemap(lonmin, latmin, lonmax, latmax, forcing_resolution, catchment)\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "658d4fbf-2cb7-4141-88cf-f08b6b29bcef", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/generate_clonemaps_2.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/generate_clonemaps_2.ipynb deleted file mode 100644 index 912cf15..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/generate_clonemaps_2.ipynb +++ /dev/null @@ -1,116 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "61349563-68d3-4695-8c2c-24653662dffa", - "metadata": {}, - "outputs": [], - "source": [ - "import subprocess" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "8f76339f-9809-4ff5-863c-1d274993001a", - "metadata": {}, - "outputs": [], - "source": [ - "# Catchment bounding boxes\n", - "clonemap_extents = {\n", - " \"sonoran_desert\": {\"latitude\": (25, 34), \"longitude\": (-116, -110)},\n", - " # \"UK\": {\"latitude\": (49, 61), \"longitude\": (-6, 22.5)},\n", - " # \"Great_Kei\": {\"latitude\": (-34.5, -30.0), \"longitude\": (24.0, 30.0)},\n", - " # \"Merrimack\": {\"latitude\": (40.5, 45.0), \"longitude\": (-73.5, -69.0)},\n", - " # \"Meuse\": {\"latitude\": (46.5, 52.5), \"longitude\": (1.5, 7.5)},\n", - " # \"Rhine\": {\"latitude\": (45.0, 54.0), \"longitude\": (3.0, 13.5)},\n", - " # \"Savannah\": {\"latitude\": (30.0, 36), \"longitude\": (-85.5, -79.5)},\n", - "}\n", - "\n", - "# Set the extent of the forcing data suffiently larger than the clonemap.\n", - "esmvaltool_padding = 1.5 # degrees lat/lon" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "db657bd7", - "metadata": {}, - "outputs": [], - "source": [ - "def create_clonemap(lonmin, latmin, lonmax, latmax, forcing_resolution, catchment):\n", - " \"\"\"Create new clonemap compatible with forcing data resolution.\"\"\"\n", - " dlon = lonmax - lonmin\n", - " dlat = latmax - latmin\n", - "\n", - " msg = (\n", - " \"The clonemap extent divided by the forcing resolution must yield\"\n", - " \"an integer number of grid cells.\"\n", - " )\n", - " assert dlon % forcing_resolution == 0, f\"Longitudes not compatible. {msg}\"\n", - " assert dlat % forcing_resolution == 0, f\"Latitudes not compatible. {msg}\"\n", - "\n", - " clonemap_dir = (\n", - " \"/data/shared/parameter-sets/pcrglobwb_global/global_05min/cloneMaps\"\n", - " )\n", - " globalclonemap = clonemap_dir + \"/clone_global_05min.map\"\n", - " outputclonemap = f\"./{catchment.lower()}_05min.map\" # copy to clonemap dir after ensuring it is correct\n", - "\n", - " subprocess.call(\n", - " f\"gdal_translate -of PCRaster {globalclonemap} -projwin \"\n", - " f\"{lonmin} {latmax} {lonmax} {latmin} {outputclonemap}\",\n", - " shell=True,\n", - " )\n", - " return outputclonemap" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "3afb9c1d-cecc-4e54-967f-40d16f85af5f", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Input file size is 4320, 2160\n", - "0...10...20...30...40...50...60...70...80...90...100 - done.\n", - "./sonoran_desert_05min.map\n" - ] - } - ], - "source": [ - "forcing_resolution = 0.75\n", - "for (catchment, extents) in clonemap_extents.items():\n", - " latmin, latmax = extents[\"latitude\"]\n", - " lonmin, lonmax = extents[\"longitude\"]\n", - " print(\n", - " create_clonemap(lonmin, latmin, lonmax, latmax, forcing_resolution, catchment)\n", - " )" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/generate_forcing.ipynb b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/generate_forcing.ipynb deleted file mode 100644 index 4dd987e..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/generate_forcing.ipynb +++ /dev/null @@ -1,382 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Generate forcing in eWaterCycle with ESMValTool: CMIP6\n", - "\n", - "This notebooks shows how to generate forcing data for PCR-GLOBWB model using ERA5 data and [ESMValTool hydrological recipes](https://docs.esmvaltool.org/en/latest/recipes/recipe_hydrology.html#pcr-globwb). More information about data, configuration and installation instructions can be found in the [System setup](https://ewatercycle.readthedocs.io/en/latest/system_setup.html) in the eWaterCycle documentation." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import logging\n", - "import warnings\n", - "from pathlib import Path\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", - "\n", - "logger = logging.getLogger(\"esmvalcore\")\n", - "logger.setLevel(logging.WARNING)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import xarray as xr\n", - "from rich import print\n", - "\n", - "import ewatercycle.forcing" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Forcing for PCRGlobWB is created using the ESMValTool recipe. It produces one file per each variable: temperature, and precipitation. You can set the start and end date, and the region. See [eWaterCycle documentation](https://ewatercycle.readthedocs.io/en/latest/apidocs/ewatercycle.forcing.html#submodules) for more information. \n", - "\n", - "#### Bug:\n", - "A shape file needs to be provided to delineate the area of interest. However, the forcing generated in this way will fill a bounding box that is \"tight\" around the shapefile. PCRGlobWB needs forcing files to be (slightly) larger than the extend of the clonemap. We fix this with \"esmavaltool_padding below. Furhtermore, the number of pixels in the lat and lon directions need to be even for the interpolation algorithm that converts forcing data to the grid of the model. Therefore, we use the extract region and hard-code the extend of Great Brittain." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "experiment_start_date=\"2025-08-01T00:00:00Z\"\n", - "experiment_end_date=\"2030-08-31T00:00:00Z\"" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "cmip_dataset = {\n", - " 'project': 'CMIP6',\n", - " 'activity': 'ScenarioMIP',\n", - " 'exp': 'ssp585',\n", - " 'mip': 'day',\n", - " 'dataset': 'MPI-ESM1-2-HR',\n", - " 'ensemble': 'r1i1p1f1',\n", - " 'institute': 'DKRZ',\n", - " 'grid': 'gn'\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# # option two: load data that you or someone else generated previously\n", - "prepared_forcing_path_caravan_central = Path(\"/home/emol/forcing/caravan/hysets_09488650\")\n", - "camelsgb_forcing = ewatercycle.forcing.sources['CaravanForcing'].load(directory=prepared_forcing_path_caravan_central)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "esmvaltool_padding = 6\n", - "\n", - "pcrglobwb_forcing = ewatercycle.forcing.sources[\"PCRGlobWBForcing\"].generate(\n", - " dataset= cmip_dataset,\n", - " start_time=\"2025-08-01T00:00:00Z\",\n", - " end_time=\"2030-08-31T00:00:00Z\",\n", - " start_time_climatology=\"2025-08-01T00:00:00Z\",\n", - " end_time_climatology=\"2025-08-01T00:00:00Z\",\n", - " shape=camelsgb_forcing.shape,\n", - " extract_region={\n", - " \"start_longitude\": -116-esmvaltool_padding,\n", - " \"end_longitude\": -110+esmvaltool_padding,\n", - " \"start_latitude\": 25-esmvaltool_padding,\n", - " \"end_latitude\": 34+esmvaltool_padding,},\n", - " directory = \"/home/emol/forcing/csonoran_desert\"\n", - "\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
PCRGlobWBForcing(\n",
-       "    start_time='2025-08-01T00:00:00Z',\n",
-       "    end_time='2030-08-31T00:00:00Z',\n",
-       "    directory=PosixPath('/home/emol/forcing/csonoran_desert/work/diagnostic/script'),\n",
-       "    shape=PosixPath('/home/emol/forcing/caravan/hysets_09488650/hysets_09488650.shp'),\n",
-       "    filenames={},\n",
-       "    precipitationNC='pcrglobwb_CMIP6_MPI-ESM1-2-HR_day_ssp585_r1i1p1f1_pr_gn_2025-2030_hysets_09488650.nc',\n",
-       "    temperatureNC='pcrglobwb_CMIP6_MPI-ESM1-2-HR_day_ssp585_r1i1p1f1_tas_gn_2025-2030_hysets_09488650.nc'\n",
-       ")\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1;35mPCRGlobWBForcing\u001b[0m\u001b[1m(\u001b[0m\n", - " \u001b[33mstart_time\u001b[0m=\u001b[32m'2025-08-01T00:00:00Z'\u001b[0m,\n", - " \u001b[33mend_time\u001b[0m=\u001b[32m'2030-08-31T00:00:00Z'\u001b[0m,\n", - " \u001b[33mdirectory\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/emol/forcing/csonoran_desert/work/diagnostic/script'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mshape\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'/home/emol/forcing/caravan/hysets_09488650/hysets_09488650.shp'\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[33mfilenames\u001b[0m=\u001b[1m{\u001b[0m\u001b[1m}\u001b[0m,\n", - " \u001b[33mprecipitationNC\u001b[0m=\u001b[32m'pcrglobwb_CMIP6_MPI-ESM1-2-HR_day_ssp585_r1i1p1f1_pr_gn_2025-2030_hysets_09488650.nc'\u001b[0m,\n", - " \u001b[33mtemperatureNC\u001b[0m=\u001b[32m'pcrglobwb_CMIP6_MPI-ESM1-2-HR_day_ssp585_r1i1p1f1_tas_gn_2025-2030_hysets_09488650.nc'\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(pcrglobwb_forcing)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plot forcing" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<xarray.Dataset> Size: 5MB\n",
-       "Dimensions:    (time: 2556, lat: 23, lon: 20, bnds: 2)\n",
-       "Coordinates:\n",
-       "  * time       (time) datetime64[ns] 20kB 2024-01-02 2024-01-03 ... 2030-12-31\n",
-       "  * lat        (lat) float32 92B 39.74 38.81 37.87 36.94 ... 21.04 20.1 19.17\n",
-       "  * lon        (lon) float32 80B -121.9 -120.9 -120.0 ... -105.9 -105.0 -104.1\n",
-       "    height     float64 8B 2.0\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    tas        (time, lat, lon) float32 5MB 279.9 278.3 275.6 ... 300.1 296.9\n",
-       "    time_bnds  (time, bnds) datetime64[ns] 41kB 2024-01-01T12:00:00 ... 2030-...\n",
-       "    lat_bnds   (lat, bnds) float32 184B 40.21 39.27 39.27 ... 19.64 19.64 18.7\n",
-       "    lon_bnds   (lon, bnds) float32 160B -122.3 -121.4 -121.4 ... -104.5 -103.6\n",
-       "Attributes: (12/46)\n",
-       "    Conventions:            CF-1.7\n",
-       "    activity_id:            ScenarioMIP\n",
-       "    branch_method:          standard\n",
-       "    branch_time_in_child:   60265.0\n",
-       "    branch_time_in_parent:  60265.0\n",
-       "    cmor_version:           3.4.0\n",
-       "    ...                     ...\n",
-       "    table_id:               day\n",
-       "    table_info:             Creation Date:(09 May 2019) MD5:e6ef8ececc8f33864...\n",
-       "    title:                  MPI-ESM1-2-HR output prepared for CMIP6\n",
-       "    variable_id:            tas\n",
-       "    variant_label:          r1i1p1f1\n",
-       "    caption:                Forcings for the PCR-GLOBWB hydrological model.\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1m<\u001b[0m\u001b[1;95mxarray.Dataset\u001b[0m\u001b[1m>\u001b[0m Size: 5MB\n", - "Dimensions: \u001b[1m(\u001b[0mtime: \u001b[1;36m2556\u001b[0m, lat: \u001b[1;36m23\u001b[0m, lon: \u001b[1;36m20\u001b[0m, bnds: \u001b[1;36m2\u001b[0m\u001b[1m)\u001b[0m\n", - "Coordinates:\n", - " * time \u001b[1m(\u001b[0mtime\u001b[1m)\u001b[0m datetime64\u001b[1m[\u001b[0mns\u001b[1m]\u001b[0m 20kB \u001b[1;36m2024\u001b[0m-\u001b[1;36m01\u001b[0m-\u001b[1;36m02\u001b[0m \u001b[1;36m2024\u001b[0m-\u001b[1;36m01\u001b[0m-\u001b[1;36m03\u001b[0m \u001b[33m...\u001b[0m \u001b[1;36m2030\u001b[0m-\u001b[1;36m12\u001b[0m-\u001b[1;36m31\u001b[0m\n", - " * lat \u001b[1m(\u001b[0mlat\u001b[1m)\u001b[0m float32 92B \u001b[1;36m39.74\u001b[0m \u001b[1;36m38.81\u001b[0m \u001b[1;36m37.87\u001b[0m \u001b[1;36m36.94\u001b[0m \u001b[33m...\u001b[0m \u001b[1;36m21.04\u001b[0m \u001b[1;36m20.1\u001b[0m \u001b[1;36m19.17\u001b[0m\n", - " * lon \u001b[1m(\u001b[0mlon\u001b[1m)\u001b[0m float32 80B \u001b[1;36m-121.9\u001b[0m \u001b[1;36m-120.9\u001b[0m \u001b[1;36m-120.0\u001b[0m \u001b[33m...\u001b[0m \u001b[1;36m-105.9\u001b[0m \u001b[1;36m-105.0\u001b[0m \u001b[1;36m-104.1\u001b[0m\n", - " height float64 8B \u001b[1;36m2.0\u001b[0m\n", - "Dimensions without coordinates: bnds\n", - "Data variables:\n", - " tas \u001b[1m(\u001b[0mtime, lat, lon\u001b[1m)\u001b[0m float32 5MB \u001b[1;36m279.9\u001b[0m \u001b[1;36m278.3\u001b[0m \u001b[1;36m275.6\u001b[0m \u001b[33m...\u001b[0m \u001b[1;36m300.1\u001b[0m \u001b[1;36m296.9\u001b[0m\n", - " time_bnds \u001b[1m(\u001b[0mtime, bnds\u001b[1m)\u001b[0m datetime64\u001b[1m[\u001b[0mns\u001b[1m]\u001b[0m 41kB \u001b[1;36m2024\u001b[0m-\u001b[1;36m01\u001b[0m-01T\u001b[1;92m12:00:00\u001b[0m \u001b[33m...\u001b[0m \u001b[1;36m2030\u001b[0m-\u001b[33m...\u001b[0m\n", - " lat_bnds \u001b[1m(\u001b[0mlat, bnds\u001b[1m)\u001b[0m float32 184B \u001b[1;36m40.21\u001b[0m \u001b[1;36m39.27\u001b[0m \u001b[1;36m39.27\u001b[0m \u001b[33m...\u001b[0m \u001b[1;36m19.64\u001b[0m \u001b[1;36m19.64\u001b[0m \u001b[1;36m18.7\u001b[0m\n", - " lon_bnds \u001b[1m(\u001b[0mlon, bnds\u001b[1m)\u001b[0m float32 160B \u001b[1;36m-122.3\u001b[0m \u001b[1;36m-121.4\u001b[0m \u001b[1;36m-121.4\u001b[0m \u001b[33m...\u001b[0m \u001b[1;36m-104.5\u001b[0m \u001b[1;36m-103.6\u001b[0m\n", - "Attributes: \u001b[1m(\u001b[0m\u001b[1;36m12\u001b[0m/\u001b[1;36m46\u001b[0m\u001b[1m)\u001b[0m\n", - " Conventions: CF-\u001b[1;36m1.7\u001b[0m\n", - " activity_id: ScenarioMIP\n", - " branch_method: standard\n", - " branch_time_in_child: \u001b[1;36m60265.0\u001b[0m\n", - " branch_time_in_parent: \u001b[1;36m60265.0\u001b[0m\n", - " cmor_version: \u001b[1;36m3.4\u001b[0m.\u001b[1;36m0\u001b[0m\n", - " \u001b[33m...\u001b[0m \u001b[33m...\u001b[0m\n", - " table_id: day\n", - " table_info: Creation Date:\u001b[1m(\u001b[0m\u001b[1;36m09\u001b[0m May \u001b[1;36m2019\u001b[0m\u001b[1m)\u001b[0m M\u001b[1;92mD5:e6ef\u001b[0m8ececc8f33864\u001b[33m...\u001b[0m\n", - " title: MPI-ESM1-\u001b[1;36m2\u001b[0m-HR output prepared for CMIP6\n", - " variable_id: tas\n", - " variant_label: r1i1p1f1\n", - " caption: Forcings for the PCR-GLOBWB hydrological model.\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
------------------------\n",
-       "
\n" - ], - "text/plain": [ - "------------------------\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
<xarray.Dataset> Size: 5MB\n",
-       "Dimensions:    (time: 2556, lat: 23, lon: 20, bnds: 2)\n",
-       "Coordinates:\n",
-       "  * time       (time) datetime64[ns] 20kB 2024-01-02 2024-01-03 ... 2030-12-31\n",
-       "  * lat        (lat) float32 92B 39.74 38.81 37.87 36.94 ... 21.04 20.1 19.17\n",
-       "  * lon        (lon) float32 80B -121.9 -120.9 -120.0 ... -105.9 -105.0 -104.1\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    pr         (time, lat, lon) float32 5MB 1.182e-16 1.182e-16 ... 1.23e-16\n",
-       "    time_bnds  (time, bnds) datetime64[ns] 41kB 2024-01-01T12:00:00 ... 2030-...\n",
-       "    lat_bnds   (lat, bnds) float32 184B 40.21 39.27 39.27 ... 19.64 19.64 18.7\n",
-       "    lon_bnds   (lon, bnds) float32 160B -122.3 -121.4 -121.4 ... -104.5 -103.6\n",
-       "Attributes: (12/46)\n",
-       "    Conventions:            CF-1.7\n",
-       "    activity_id:            ScenarioMIP\n",
-       "    branch_method:          standard\n",
-       "    branch_time_in_child:   60265.0\n",
-       "    branch_time_in_parent:  60265.0\n",
-       "    cmor_version:           3.4.0\n",
-       "    ...                     ...\n",
-       "    table_id:               day\n",
-       "    table_info:             Creation Date:(09 May 2019) MD5:e6ef8ececc8f33864...\n",
-       "    title:                  MPI-ESM1-2-HR output prepared for CMIP6\n",
-       "    variable_id:            pr\n",
-       "    variant_label:          r1i1p1f1\n",
-       "    caption:                Forcings for the PCR-GLOBWB hydrological model.\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1m<\u001b[0m\u001b[1;95mxarray.Dataset\u001b[0m\u001b[1m>\u001b[0m Size: 5MB\n", - "Dimensions: \u001b[1m(\u001b[0mtime: \u001b[1;36m2556\u001b[0m, lat: \u001b[1;36m23\u001b[0m, lon: \u001b[1;36m20\u001b[0m, bnds: \u001b[1;36m2\u001b[0m\u001b[1m)\u001b[0m\n", - "Coordinates:\n", - " * time \u001b[1m(\u001b[0mtime\u001b[1m)\u001b[0m datetime64\u001b[1m[\u001b[0mns\u001b[1m]\u001b[0m 20kB \u001b[1;36m2024\u001b[0m-\u001b[1;36m01\u001b[0m-\u001b[1;36m02\u001b[0m \u001b[1;36m2024\u001b[0m-\u001b[1;36m01\u001b[0m-\u001b[1;36m03\u001b[0m \u001b[33m...\u001b[0m \u001b[1;36m2030\u001b[0m-\u001b[1;36m12\u001b[0m-\u001b[1;36m31\u001b[0m\n", - " * lat \u001b[1m(\u001b[0mlat\u001b[1m)\u001b[0m float32 92B \u001b[1;36m39.74\u001b[0m \u001b[1;36m38.81\u001b[0m \u001b[1;36m37.87\u001b[0m \u001b[1;36m36.94\u001b[0m \u001b[33m...\u001b[0m \u001b[1;36m21.04\u001b[0m \u001b[1;36m20.1\u001b[0m \u001b[1;36m19.17\u001b[0m\n", - " * lon \u001b[1m(\u001b[0mlon\u001b[1m)\u001b[0m float32 80B \u001b[1;36m-121.9\u001b[0m \u001b[1;36m-120.9\u001b[0m \u001b[1;36m-120.0\u001b[0m \u001b[33m...\u001b[0m \u001b[1;36m-105.9\u001b[0m \u001b[1;36m-105.0\u001b[0m \u001b[1;36m-104.1\u001b[0m\n", - "Dimensions without coordinates: bnds\n", - "Data variables:\n", - " pr \u001b[1m(\u001b[0mtime, lat, lon\u001b[1m)\u001b[0m float32 5MB \u001b[1;36m1.182e-16\u001b[0m \u001b[1;36m1.182e-16\u001b[0m \u001b[33m...\u001b[0m \u001b[1;36m1.23e-16\u001b[0m\n", - " time_bnds \u001b[1m(\u001b[0mtime, bnds\u001b[1m)\u001b[0m datetime64\u001b[1m[\u001b[0mns\u001b[1m]\u001b[0m 41kB \u001b[1;36m2024\u001b[0m-\u001b[1;36m01\u001b[0m-01T\u001b[1;92m12:00:00\u001b[0m \u001b[33m...\u001b[0m \u001b[1;36m2030\u001b[0m-\u001b[33m...\u001b[0m\n", - " lat_bnds \u001b[1m(\u001b[0mlat, bnds\u001b[1m)\u001b[0m float32 184B \u001b[1;36m40.21\u001b[0m \u001b[1;36m39.27\u001b[0m \u001b[1;36m39.27\u001b[0m \u001b[33m...\u001b[0m \u001b[1;36m19.64\u001b[0m \u001b[1;36m19.64\u001b[0m \u001b[1;36m18.7\u001b[0m\n", - " lon_bnds \u001b[1m(\u001b[0mlon, bnds\u001b[1m)\u001b[0m float32 160B \u001b[1;36m-122.3\u001b[0m \u001b[1;36m-121.4\u001b[0m \u001b[1;36m-121.4\u001b[0m \u001b[33m...\u001b[0m \u001b[1;36m-104.5\u001b[0m \u001b[1;36m-103.6\u001b[0m\n", - "Attributes: \u001b[1m(\u001b[0m\u001b[1;36m12\u001b[0m/\u001b[1;36m46\u001b[0m\u001b[1m)\u001b[0m\n", - " Conventions: CF-\u001b[1;36m1.7\u001b[0m\n", - " activity_id: ScenarioMIP\n", - " branch_method: standard\n", - " branch_time_in_child: \u001b[1;36m60265.0\u001b[0m\n", - " branch_time_in_parent: \u001b[1;36m60265.0\u001b[0m\n", - " cmor_version: \u001b[1;36m3.4\u001b[0m.\u001b[1;36m0\u001b[0m\n", - " \u001b[33m...\u001b[0m \u001b[33m...\u001b[0m\n", - " table_id: day\n", - " table_info: Creation Date:\u001b[1m(\u001b[0m\u001b[1;36m09\u001b[0m May \u001b[1;36m2019\u001b[0m\u001b[1m)\u001b[0m M\u001b[1;92mD5:e6ef\u001b[0m8ececc8f33864\u001b[33m...\u001b[0m\n", - " title: MPI-ESM1-\u001b[1;36m2\u001b[0m-HR output prepared for CMIP6\n", - " variable_id: pr\n", - " variant_label: r1i1p1f1\n", - " caption: Forcings for the PCR-GLOBWB hydrological model.\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
------------------------\n",
-       "
\n" - ], - "text/plain": [ - "------------------------\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "for file_name in [pcrglobwb_forcing.temperatureNC, pcrglobwb_forcing.precipitationNC]:\n", - " dataset = xr.load_dataset(f\"{pcrglobwb_forcing.directory}/{file_name}\")\n", - " print(dataset)\n", - " print(\"------------------------\")\n", - " var = list(dataset.data_vars.keys())[0]\n", - " dataset[var].isel(time=-1).plot(cmap=\"coolwarm\", robust=True, size=5)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.5" - }, - "metadata": { - "interpreter": { - "hash": "a8aa8210cb3d81d2b5c08b30572e78ad19bd30da92b4caf9890388bc07c5e3bf" - } - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/pcrglobwb_sonoran_05min.ini b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/pcrglobwb_sonoran_05min.ini deleted file mode 100644 index ff05f22..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/pcrglobwb_sonoran_05min.ini +++ /dev/null @@ -1,466 +0,0 @@ -[globalOptions] - -# Set the pcrglobwb output directory in an absolute path. -outputDir = /data/output -# Set the input directory map in an absolute path. -# - The input forcing and parameter directories and files will be relative to this. -inputDir = /data/input - -# Map of clone (must be provided in PCRaster maps) -# - Spatial resolution and coverage are based on this map: -cloneMap = global_05min/cloneMaps/sonoran_desert_05min.map -# The area/landmask of interest: -# If None, area/landmask is limited for cells with ldd value. -landmask = global_05min/cloneMaps/sonoran_desert_05min.map - - -# netcdf attributes for output files: -institution = Department of Physical Geography, Utrecht University -title = PCR-GLOBWB 2 output (not coupled to MODFLOW) -description = by Edwin H. Sutanudjaja (contact: e.h.sutanudjaja@uu.nl) - -startTime = 2002-01-01 -endTime = 2002-12-31 -# Format: YYYY-MM-DD ; The model runs on daily time step. - - -# spinning up options: -maxSpinUpsInYears = 0 -minConvForSoilSto = 0.0 -minConvForGwatSto = 0.0 -minConvForChanSto = 0.0 -minConvForTotlSto = 0.0 - - - -[meteoOptions] - -# Set the forcing temperature and precipitation files (relative to inputDir) -precipitationNC = global_05min/meteo/pcrglobwb_OBS6_ERA5_reanaly_1_day_pr_2002-2016_merrimack.nc -temperatureNC = global_05min/meteo/pcrglobwb_OBS6_ERA5_reanaly_1_day_tas_2002-2016_merrimack.nc - -# Method to calculate referencePotETP (reference potential evaporation+transpiration) -# options are "Hamon" and "Input" ; If "Input", the netcdf input file must be given: -referenceETPotMethod = Hamon -refETPotFileNC = 'test' - -# variable names in the forcing files (optional) -precipitationVariableName = pr -temperatureVariableName = tas -referenceEPotVariableName = potentialEvaporation - -# conversion constants and factors to correct forcing values (optional) so that the units are in m.day-1 and degree Celcius -precipitationConstant = 0.0 -precipitationFactor = 1.0 -temperatureConstant = -273.15 -temperatureFactor = 1.0 -referenceEPotConstant = 0.0 -referenceEPotFactor = 1.0 - - -[meteoDownscalingOptions] -# This section is for a 5 arcmin run, for downscaling meteorological forcing at 30 arcmin to 5 arcmin. - -downscalePrecipitation = True -downscaleTemperature = True -downscaleReferenceETPot = True - -# downscaling (based on the digital elevation model): -# The downscaling will be performed by providing the "cellIds" (meteoDownscaleIds) of lower resolution cells. -meteoDownscaleIds = global_05min/meteo/downscaling_from_30min/uniqueIds_30min.map -highResolutionDEM = global_05min/meteo/downscaling_from_30min/gtopo05min.map - -# lapse rates: -temperLapseRateNC = global_05min/meteo/downscaling_from_30min/temperature_slope.nc -precipLapseRateNC = global_05min/meteo/downscaling_from_30min/precipitation_slope.nc - -# downscaling criteria (TODO: remove these): -temperatCorrelNC = global_05min/meteo/downscaling_from_30min/temperature_correl.nc -precipitCorrelNC = global_05min/meteo/downscaling_from_30min/precipitation_correl.nc - -# windows length (unit: arc-degree) for smoothing/averaging forcing data (not recommended): -smoothingWindowsLength = 0 - - -[landSurfaceOptions] -debugWaterBalance = True - -numberOfUpperSoilLayers = 2 - -# soil and parameters -# - they are used for all land cover types, unless they are are defined in certain land cover type options -# (e.g. different/various soil types for agriculture areas) -topographyNC = global_05min/landSurface/topography/topography_parameters_5_arcmin_october_2015.nc -soilPropertiesNC = global_05min/landSurface/soil/soilProperties5ArcMin.nc - - -includeIrrigation = True - -# netcdf time series for historical expansion of irrigation areas (unit: hectares). -# Note: The resolution of this map must be consisten with the resolution of cellArea. -historicalIrrigationArea = global_05min/waterUse/irrigation/irrigated_areas/irrigationArea05ArcMin.nc - -# a pcraster map/value defining irrigation efficiency (dimensionless) - optional -irrigationEfficiency = global_30min/waterUse/irrigation/irrigation_efficiency/efficiency.map - - -includeDomesticWaterDemand = True -includeIndustryWaterDemand = True -includeLivestockWaterDemand = True - -# domestic, industrial and livestock water demand data (unit must be in m.day-1) -domesticWaterDemandFile = global_05min/waterUse/waterDemand/domestic/domestic_water_demand_version_april_2015.nc -industryWaterDemandFile = global_05min/waterUse/waterDemand/industry/industry_water_demand_version_april_2015.nc -livestockWaterDemandFile = global_05min/waterUse/waterDemand/livestock/livestock_water_demand_version_april_2015.nc - - -# desalination water supply (maximum/potential/capacity) -desalinationWater = global_05min/waterUse/desalination/desalination_water_version_april_2015.nc - - -# zone IDs (scale) at which allocations of groundwater and surface water (as well as desalinated water) are performed -allocationSegmentsForGroundSurfaceWater = global_05min/waterUse/abstraction_zones/abstraction_zones_60min_05min.map - -# pcraster maps defining the partitioning of groundwater - surface water source -# -# - predefined surface water - groundwater partitioning for irrigation demand (e.g. based on Siebert, Global Map of Irrigation Areas version 5) -irrigationSurfaceWaterAbstractionFractionData = global_05min/waterUse/source_partitioning/surface_water_fraction_for_irrigation/AEI_SWFRAC.map -# -- quality map -irrigationSurfaceWaterAbstractionFractionDataQuality = global_05min/waterUse/source_partitioning/surface_water_fraction_for_irrigation/AEI_QUAL.map -# -# - threshold values defining the preference for surface water source for irrigation purpose -# -- treshold to maximize surface water irrigation use (cells with irrSurfaceWaterAbstractionFraction above this will prioritize irrigation surface water use) -treshold_to_maximize_irrigation_surface_water = 0.50 -# -- treshold to minimize fossil water withdrawal for irrigation (cells with irrSurfaceWaterAbstractionFraction below this have no fossil withdrawal for irrigation) -treshold_to_minimize_fossil_groundwater_irrigation = 0.70 -# -# - predefined surface water - groundwater partitioning for non irrigation demand (e.g. based on McDonald, 2014) -maximumNonIrrigationSurfaceWaterAbstractionFractionData = global_30min/waterUse/source_partitioning/surface_water_fraction_for_non_irrigation/max_city_sw_fraction.map - - -[forestOptions] - -name = forest -debugWaterBalance = True - -# snow module properties -snowModuleType = Simple -freezingT = 0.0 -degreeDayFactor = 0.0025 -snowWaterHoldingCap = 0.1 -refreezingCoeff = 0.05 - -# other paramater values -minTopWaterLayer = 0.0 -minCropKC = 0.2 - -cropCoefficientNC = global_05min/landSurface/landCover/naturalTall/cropCoefficientForest.nc -interceptCapNC = global_05min/landSurface/landCover/naturalTall/interceptCapInputForest.nc -coverFractionNC = global_05min/landSurface/landCover/naturalTall/coverFractionInputForest.nc - -landCoverMapsNC = None -# If NC file is not provided, we have to provide the following pcraster maps: -fracVegCover = global_05min/landSurface/landCover/naturalTall/vegf_tall.map -minSoilDepthFrac = global_30min/landSurface/landCover/naturalTall/minf_tall_permafrost.map -maxSoilDepthFrac = global_30min/landSurface/landCover/naturalTall/maxf_tall.map -rootFraction1 = global_05min/landSurface/landCover/naturalTall/rfrac1_tall.map -rootFraction2 = global_05min/landSurface/landCover/naturalTall/rfrac2_tall.map -maxRootDepth = 1.0 -# Note: The maxRootDepth is not used for non irrigated land cover type. -# -# Parameters for the Arno's scheme: -arnoBeta = None -# If arnoBeta is defined, the soil water capacity distribution is based on this. -# If arnoBeta is NOT defined, maxSoilDepthFrac must be defined such that arnoBeta will be calculated based on maxSoilDepthFrac and minSoilDepthFrac. - -# initial conditions: -interceptStorIni = global_05min/initialConditions/interceptStor_forest_1999-12-31.map -snowCoverSWEIni = global_05min/initialConditions/snowCoverSWE_forest_1999-12-31.map -snowFreeWaterIni = global_05min/initialConditions/snowFreeWater_forest_1999-12-31.map -topWaterLayerIni = global_05min/initialConditions/topWaterLayer_forest_1999-12-31.map -storUppIni = global_05min/initialConditions/storUpp_forest_1999-12-31.map -storLowIni = global_05min/initialConditions/storLow_forest_1999-12-31.map -interflowIni = global_05min/initialConditions/interflow_forest_1999-12-31.map - - -[grasslandOptions] - -name = grassland -debugWaterBalance = True - -# snow module properties -snowModuleType = Simple -freezingT = 0.0 -degreeDayFactor = 0.0025 -snowWaterHoldingCap = 0.1 -refreezingCoeff = 0.05 - -# other paramater values -minTopWaterLayer = 0.0 -minCropKC = 0.2 - -cropCoefficientNC = global_05min/landSurface/landCover/naturalShort/cropCoefficientGrassland.nc -interceptCapNC = global_05min/landSurface/landCover/naturalShort/interceptCapInputGrassland.nc -coverFractionNC = global_05min/landSurface/landCover/naturalShort/coverFractionInputGrassland.nc - -landCoverMapsNC = None -# If NC file is not provided, we have to provide the following values: -fracVegCover = global_05min/landSurface/landCover/naturalShort/vegf_short.map -minSoilDepthFrac = global_30min/landSurface/landCover/naturalShort/minf_short_permafrost.map -maxSoilDepthFrac = global_30min/landSurface/landCover/naturalShort/maxf_short.map -rootFraction1 = global_05min/landSurface/landCover/naturalShort/rfrac1_short.map -rootFraction2 = global_05min/landSurface/landCover/naturalShort/rfrac2_short.map -maxRootDepth = 0.5 -# Note: The maxRootDepth is not used for non irrigated land cover type. -# -# Parameters for the Arno's scheme: -arnoBeta = None -# If arnoBeta is defined, the soil water capacity distribution is based on this. -# If arnoBeta is NOT defined, maxSoilDepthFrac must be defined such that arnoBeta will be calculated based on maxSoilDepthFrac and minSoilDepthFrac. - -# initial conditions: -interceptStorIni = global_05min/initialConditions/interceptStor_grassland_1999-12-31.map -snowCoverSWEIni = global_05min/initialConditions/snowCoverSWE_grassland_1999-12-31.map -snowFreeWaterIni = global_05min/initialConditions/snowFreeWater_grassland_1999-12-31.map -topWaterLayerIni = global_05min/initialConditions/topWaterLayer_grassland_1999-12-31.map -storUppIni = global_05min/initialConditions/storUpp_grassland_1999-12-31.map -storLowIni = global_05min/initialConditions/storLow_grassland_1999-12-31.map -interflowIni = global_05min/initialConditions/interflow_grassland_1999-12-31.map - - -[irrPaddyOptions] - -name = irrPaddy -debugWaterBalance = True - -# snow module properties -snowModuleType = Simple -freezingT = 0.0 -degreeDayFactor = 0.0025 -snowWaterHoldingCap = 0.1 -refreezingCoeff = 0.05 -# -landCoverMapsNC = None -# If NC file is not provided, we have to provide the following values: -fracVegCover = global_05min/landSurface/landCover/irrPaddy/fractionPaddy.map -minSoilDepthFrac = global_30min/landSurface/landCover/irrPaddy/minf_paddy_permafrost.map -maxSoilDepthFrac = global_30min/landSurface/landCover/irrPaddy/maxf_paddy.map -rootFraction1 = global_30min/landSurface/landCover/irrPaddy/rfrac1_paddy.map -rootFraction2 = global_30min/landSurface/landCover/irrPaddy/rfrac2_paddy.map -maxRootDepth = 0.5 -# -# Parameters for the Arno's scheme: -arnoBeta = None -# If arnoBeta is defined, the soil water capacity distribution is based on this. -# If arnoBeta is NOT defined, maxSoilDepthFrac must be defined such that arnoBeta will be calculated based on maxSoilDepthFrac and minSoilDepthFrac. -# -# other paramater values -minTopWaterLayer = 0.05 -minCropKC = 0.2 -cropDeplFactor = 0.2 -minInterceptCap = 0.0002 - -cropCoefficientNC = global_30min/landSurface/landCover/irrPaddy/Global_CropCoefficientKc-IrrPaddy_30min.nc - -# initial conditions: -interceptStorIni = global_05min/initialConditions/interceptStor_irrPaddy_1999-12-31.map -snowCoverSWEIni = global_05min/initialConditions/snowCoverSWE_irrPaddy_1999-12-31.map -snowFreeWaterIni = global_05min/initialConditions/snowFreeWater_irrPaddy_1999-12-31.map -topWaterLayerIni = global_05min/initialConditions/topWaterLayer_irrPaddy_1999-12-31.map -storUppIni = global_05min/initialConditions/storUpp_irrPaddy_1999-12-31.map -storLowIni = global_05min/initialConditions/storLow_irrPaddy_1999-12-31.map -interflowIni = global_05min/initialConditions/interflow_irrPaddy_1999-12-31.map - - -[irrNonPaddyOptions] - -name = irrNonPaddy -debugWaterBalance = True - -# snow module properties -snowModuleType = Simple -freezingT = 0.0 -degreeDayFactor = 0.0025 -snowWaterHoldingCap = 0.1 -refreezingCoeff = 0.05 -# -landCoverMapsNC = None -# If NC file is not provided, we have to provide the following values: -fracVegCover = global_05min/landSurface/landCover/irrNonPaddy/fractionNonPaddy.map -minSoilDepthFrac = global_30min/landSurface/landCover/irrNonPaddy/minf_nonpaddy_permafrost.map -maxSoilDepthFrac = global_30min/landSurface/landCover/irrNonPaddy/maxf_nonpaddy.map -rootFraction1 = global_30min/landSurface/landCover/irrNonPaddy/rfrac1_nonpaddy.map -rootFraction2 = global_30min/landSurface/landCover/irrNonPaddy/rfrac2_nonpaddy.map -maxRootDepth = 1.0 -# -# Parameters for the Arno's scheme: -arnoBeta = None -# If arnoBeta is defined, the soil water capacity distribution is based on this. -# If arnoBeta is NOT defined, maxSoilDepthFrac must be defined such that arnoBeta will be calculated based on maxSoilDepthFrac and minSoilDepthFrac. -# -# other paramater values -minTopWaterLayer = 0.0 -minCropKC = 0.2 -cropDeplFactor = 0.5 -minInterceptCap = 0.0002 - -cropCoefficientNC = global_30min/landSurface/landCover/irrNonPaddy/Global_CropCoefficientKc-IrrNonPaddy_30min.nc - -# initial conditions: -interceptStorIni = global_05min/initialConditions/interceptStor_irrNonPaddy_1999-12-31.map -snowCoverSWEIni = global_05min/initialConditions/snowCoverSWE_irrNonPaddy_1999-12-31.map -snowFreeWaterIni = global_05min/initialConditions/snowFreeWater_irrNonPaddy_1999-12-31.map -topWaterLayerIni = global_05min/initialConditions/topWaterLayer_irrNonPaddy_1999-12-31.map -storUppIni = global_05min/initialConditions/storUpp_irrNonPaddy_1999-12-31.map -storLowIni = global_05min/initialConditions/storLow_irrNonPaddy_1999-12-31.map -interflowIni = global_05min/initialConditions/interflow_irrNonPaddy_1999-12-31.map - - - - -[groundwaterOptions] - -debugWaterBalance = True - -groundwaterPropertiesNC = global_05min/groundwater/properties/groundwaterProperties5ArcMin.nc -# The file will containspecificYield (m3.m-3), kSatAquifer, recessionCoeff (day-1) -# -# - minimum value for groundwater recession coefficient (day-1) -minRecessionCoeff = 1.0e-4 - -# some options for constraining groundwater abstraction -limitFossilGroundWaterAbstraction = True -estimateOfRenewableGroundwaterCapacity = 0.0 -estimateOfTotalGroundwaterThickness = global_05min/groundwater/aquifer_thickness_estimate/thickness_05min.map -# minimum and maximum total groundwater thickness -minimumTotalGroundwaterThickness = 100. -maximumTotalGroundwaterThickness = None - -# annual pumping capacity for each region (unit: billion cubic meter per year), should be given in a netcdf file -pumpingCapacityNC = global_30min/waterUse/groundwater_pumping_capacity/regional_abstraction_limit.nc - -# initial conditions: -storGroundwaterIni = global_05min/initialConditions/storGroundwater_1999-12-31.map -storGroundwaterFossilIni = global_05min/initialConditions/storGroundwaterFossil_1999-12-31.map -# -# additional initial conditions for pumping behaviors -avgNonFossilGroundwaterAllocationLongIni = global_05min/initialConditions/avgNonFossilGroundwaterAllocationLong_1999-12-31.map -avgNonFossilGroundwaterAllocationShortIni = global_05min/initialConditions/avgNonFossilGroundwaterAllocationShort_1999-12-31.map -avgTotalGroundwaterAbstractionIni = global_05min/initialConditions/avgTotalGroundwaterAbstraction_1999-12-31.map -avgTotalGroundwaterAllocationLongIni = global_05min/initialConditions/avgTotalGroundwaterAllocationLong_1999-12-31.map -avgTotalGroundwaterAllocationShortIni = global_05min/initialConditions/avgTotalGroundwaterAllocationShort_1999-12-31.map -# -# additional initial conditions (needed only for MODFLOW run) -relativeGroundwaterHeadIni = global_05min/initialConditions/relativeGroundwaterHead_1999-12-31.map -baseflowIni = global_05min/initialConditions/baseflow_1999-12-31.map - -# zonal IDs (scale) at which zonal allocation of groundwater is performed -allocationSegmentsForGroundwater = global_05min/waterUse/abstraction_zones/abstraction_zones_30min_05min.map - -# assumption for the minimum transmissivity value (unit: m2/day) that can be extracted (via capillary rise and/or groundwater abstraction) - optional -minTransimissivityForProductiveAquifer = 50.0 -# - if None, abstraction and/or capillary rise can always occur everywhere and unlimited - - - -[routingOptions] - -debugWaterBalance = True - -# drainage direction map -lddMap = global_05min/routing/ldd_and_cell_area/lddsound_05min.map - -# cell area (unit: m2) -cellAreaMap = global_05min/routing/ldd_and_cell_area/cellsize05min.correct.map - -# routing method: #accuTravelTime or kinematicWave -routingMethod = accuTravelTime - -# manning coefficient -manningsN = 0.04 - -# Option for flood plain simulation -dynamicFloodPlain = False - -# manning coefficient for floodplain -floodplainManningsN = 0.07 - - -# channel gradient -gradient = global_05min/routing/channel_properties/channel_gradient.map - -# constant channel depth -constantChannelDepth = global_05min/routing/channel_properties/bankfull_depth.map - -# constant channel width (optional) -constantChannelWidth = global_05min/routing/channel_properties/bankfull_width.map - -# minimum channel width (optional) -minimumChannelWidth = global_05min/routing/channel_properties/bankfull_width.map - -# channel properties for flooding -bankfullCapacity = None -# - If None, it will be estimated from (bankfull) channel depth (m) and width (m) - - -# files for relative elevation (above minimum dem) -relativeElevationFiles = global_05min/routing/channel_properties/dzRel%04d.map -relativeElevationLevels = 0.0, 0.01, 0.05, 0.10, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90, 1.00 - - -# composite crop factors for WaterBodies: -cropCoefficientWaterNC = global_30min/routing/kc_surface_water/cropCoefficientForOpenWater.nc -minCropWaterKC = 1.00 - - -# lake and reservoir parameters -waterBodyInputNC = global_05min/routing/surface_water_bodies/waterBodies5ArcMin.nc -onlyNaturalWaterBodies = False - - -# initial conditions: -waterBodyStorageIni = global_05min/initialConditions/waterBodyStorage_1999-12-31.map -channelStorageIni = global_05min/initialConditions/channelStorage_1999-12-31.map -readAvlChannelStorageIni = global_05min/initialConditions/readAvlChannelStorage_1999-12-31.map -avgDischargeLongIni = global_05min/initialConditions/avgDischargeLong_1999-12-31.map -avgDischargeShortIni = global_05min/initialConditions/avgDischargeShort_1999-12-31.map -m2tDischargeLongIni = global_05min/initialConditions/m2tDischargeLong_1999-12-31.map -avgBaseflowLongIni = global_05min/initialConditions/avgBaseflowLong_1999-12-31.map -riverbedExchangeIni = global_05min/initialConditions/riverbedExchange_1999-12-31.map -# -# initial condition of sub-time step discharge (needed for estimating number of time steps in kinematic wave methods) -subDischargeIni = global_05min/initialConditions/subDischarge_1999-12-31.map -# -avgLakeReservoirInflowShortIni = global_05min/initialConditions/avgLakeReservoirInflowShort_1999-12-31.map -avgLakeReservoirOutflowLongIni = global_05min/initialConditions/avgLakeReservoirOutflowLong_1999-12-31.map -# -# number of days (timesteps) that have been performed for spinning up initial conditions in the routing module (i.e. channelStorageIni, avgDischargeLongIni, avgDischargeShortIni, etc.) -timestepsToAvgDischargeIni = global_05min/initialConditions/timestepsToAvgDischarge_1999-12-31.map -# Note that: -# - maximum number of days (timesteps) to calculate long term average flow values (default: 5 years = 5 * 365 days = 1825) -# - maximum number of days (timesteps) to calculate short term average values (default: 1 month = 1 * 30 days = 30) - - - - -[reportingOptions] - -# output files that will be written in the disk in netcdf files: -# - daily resolution -#outDailyTotNC = temperature,precipitation,totalEvaporation,gwRecharge,totalRunoff,totalGroundwaterAbstraction,discharge,surfaceWaterStorage,interceptStor,snowFreeWater,snowCoverSWE,topWaterLayer,storUppTotal,storLowTotal,storGroundwater,totalWaterStorageThickness,channelStorage,surfaceWaterAbstraction,nonIrrGrossDemand,nonIrrWaterConsumption,irrPaddyWaterWithdrawal,domesticWaterWithdrawal,industryWaterWithdrawal,precipitation_at_irrigation,evaporation_from_irrigation,surfaceWaterStorage,dynamicFracWat,floodVolume,floodDepth,surfaceWaterLevel -outDailyTotNC = temperature,precipitation,totalEvaporation,gwRecharge,totalRunoff,totalGroundwaterAbstraction,discharge,surfaceWaterStorage,interceptStor,snowFreeWater,snowCoverSWE,topWaterLayer,storUppTotal,storLowTotal,storGroundwater,totalWaterStorageThickness,channelStorage,surfaceWaterAbstraction,nonIrrGrossDemand,nonIrrWaterConsumption,irrPaddyWaterWithdrawal,domesticWaterWithdrawal,industryWaterWithdrawal,precipitation_at_irrigation,evaporation_from_irrigation,surfaceWaterStorage,dynamicFracWat,surfaceWaterLevel -# - monthly resolution -outMonthTotNC = None -outMonthAvgNC = None -outMonthEndNC = None -# - annual resolution -outAnnuaTotNC = None -outAnnuaAvgNC = None -outAnnuaEndNC = None -# - monthly and annual maxima -outMonthMaxNC = None -outAnnuaMaxNC = None - -# netcdf format and zlib setup -formatNetCDF = NETCDF4 -zlib = True diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/pcrglobwb_sonoran_mpi-esm1-2-hr_05min.ini b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/pcrglobwb_sonoran_mpi-esm1-2-hr_05min.ini deleted file mode 100644 index 83cf1ba..0000000 --- a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/pcrglobwb_sonoran_mpi-esm1-2-hr_05min.ini +++ /dev/null @@ -1,466 +0,0 @@ -[globalOptions] - -# Set the pcrglobwb output directory in an absolute path. -outputDir = /data/output -# Set the input directory map in an absolute path. -# - The input forcing and parameter directories and files will be relative to this. -inputDir = /data/input - -# Map of clone (must be provided in PCRaster maps) -# - Spatial resolution and coverage are based on this map: -cloneMap = global_05min/cloneMaps/sonoran_desert_mpi-esm1-2-hr_05min.map -# The area/landmask of interest: -# If None, area/landmask is limited for cells with ldd value. -landmask = global_05min/cloneMaps/sonoran_desert_mpi-esm1-2-hr_05min.map - - -# netcdf attributes for output files: -institution = Department of Physical Geography, Utrecht University -title = PCR-GLOBWB 2 output (not coupled to MODFLOW) -description = by Edwin H. Sutanudjaja (contact: e.h.sutanudjaja@uu.nl) - -startTime = 2002-01-01 -endTime = 2002-12-31 -# Format: YYYY-MM-DD ; The model runs on daily time step. - - -# spinning up options: -maxSpinUpsInYears = 0 -minConvForSoilSto = 0.0 -minConvForGwatSto = 0.0 -minConvForChanSto = 0.0 -minConvForTotlSto = 0.0 - - - -[meteoOptions] - -# Set the forcing temperature and precipitation files (relative to inputDir) -precipitationNC = global_05min/meteo/pcrglobwb_OBS6_ERA5_reanaly_1_day_pr_2002-2016_merrimack.nc -temperatureNC = global_05min/meteo/pcrglobwb_OBS6_ERA5_reanaly_1_day_tas_2002-2016_merrimack.nc - -# Method to calculate referencePotETP (reference potential evaporation+transpiration) -# options are "Hamon" and "Input" ; If "Input", the netcdf input file must be given: -referenceETPotMethod = Hamon -refETPotFileNC = 'test' - -# variable names in the forcing files (optional) -precipitationVariableName = pr -temperatureVariableName = tas -referenceEPotVariableName = potentialEvaporation - -# conversion constants and factors to correct forcing values (optional) so that the units are in m.day-1 and degree Celcius -precipitationConstant = 0.0 -precipitationFactor = 1.0 -temperatureConstant = -273.15 -temperatureFactor = 1.0 -referenceEPotConstant = 0.0 -referenceEPotFactor = 1.0 - - -[meteoDownscalingOptions] -# This section is for a 5 arcmin run, for downscaling meteorological forcing at 30 arcmin to 5 arcmin. - -downscalePrecipitation = True -downscaleTemperature = True -downscaleReferenceETPot = True - -# downscaling (based on the digital elevation model): -# The downscaling will be performed by providing the "cellIds" (meteoDownscaleIds) of lower resolution cells. -meteoDownscaleIds = global_05min/meteo/downscaling_from_30min/uniqueIds_30min.map -highResolutionDEM = global_05min/meteo/downscaling_from_30min/gtopo05min.map - -# lapse rates: -temperLapseRateNC = global_05min/meteo/downscaling_from_30min/temperature_slope.nc -precipLapseRateNC = global_05min/meteo/downscaling_from_30min/precipitation_slope.nc - -# downscaling criteria (TODO: remove these): -temperatCorrelNC = global_05min/meteo/downscaling_from_30min/temperature_correl.nc -precipitCorrelNC = global_05min/meteo/downscaling_from_30min/precipitation_correl.nc - -# windows length (unit: arc-degree) for smoothing/averaging forcing data (not recommended): -smoothingWindowsLength = 0 - - -[landSurfaceOptions] -debugWaterBalance = True - -numberOfUpperSoilLayers = 2 - -# soil and parameters -# - they are used for all land cover types, unless they are are defined in certain land cover type options -# (e.g. different/various soil types for agriculture areas) -topographyNC = global_05min/landSurface/topography/topography_parameters_5_arcmin_october_2015.nc -soilPropertiesNC = global_05min/landSurface/soil/soilProperties5ArcMin.nc - - -includeIrrigation = True - -# netcdf time series for historical expansion of irrigation areas (unit: hectares). -# Note: The resolution of this map must be consisten with the resolution of cellArea. -historicalIrrigationArea = global_05min/waterUse/irrigation/irrigated_areas/irrigationArea05ArcMin.nc - -# a pcraster map/value defining irrigation efficiency (dimensionless) - optional -irrigationEfficiency = global_30min/waterUse/irrigation/irrigation_efficiency/efficiency.map - - -includeDomesticWaterDemand = True -includeIndustryWaterDemand = True -includeLivestockWaterDemand = True - -# domestic, industrial and livestock water demand data (unit must be in m.day-1) -domesticWaterDemandFile = global_05min/waterUse/waterDemand/domestic/domestic_water_demand_version_april_2015.nc -industryWaterDemandFile = global_05min/waterUse/waterDemand/industry/industry_water_demand_version_april_2015.nc -livestockWaterDemandFile = global_05min/waterUse/waterDemand/livestock/livestock_water_demand_version_april_2015.nc - - -# desalination water supply (maximum/potential/capacity) -desalinationWater = global_05min/waterUse/desalination/desalination_water_version_april_2015.nc - - -# zone IDs (scale) at which allocations of groundwater and surface water (as well as desalinated water) are performed -allocationSegmentsForGroundSurfaceWater = global_05min/waterUse/abstraction_zones/abstraction_zones_60min_05min.map - -# pcraster maps defining the partitioning of groundwater - surface water source -# -# - predefined surface water - groundwater partitioning for irrigation demand (e.g. based on Siebert, Global Map of Irrigation Areas version 5) -irrigationSurfaceWaterAbstractionFractionData = global_05min/waterUse/source_partitioning/surface_water_fraction_for_irrigation/AEI_SWFRAC.map -# -- quality map -irrigationSurfaceWaterAbstractionFractionDataQuality = global_05min/waterUse/source_partitioning/surface_water_fraction_for_irrigation/AEI_QUAL.map -# -# - threshold values defining the preference for surface water source for irrigation purpose -# -- treshold to maximize surface water irrigation use (cells with irrSurfaceWaterAbstractionFraction above this will prioritize irrigation surface water use) -treshold_to_maximize_irrigation_surface_water = 0.50 -# -- treshold to minimize fossil water withdrawal for irrigation (cells with irrSurfaceWaterAbstractionFraction below this have no fossil withdrawal for irrigation) -treshold_to_minimize_fossil_groundwater_irrigation = 0.70 -# -# - predefined surface water - groundwater partitioning for non irrigation demand (e.g. based on McDonald, 2014) -maximumNonIrrigationSurfaceWaterAbstractionFractionData = global_30min/waterUse/source_partitioning/surface_water_fraction_for_non_irrigation/max_city_sw_fraction.map - - -[forestOptions] - -name = forest -debugWaterBalance = True - -# snow module properties -snowModuleType = Simple -freezingT = 0.0 -degreeDayFactor = 0.0025 -snowWaterHoldingCap = 0.1 -refreezingCoeff = 0.05 - -# other paramater values -minTopWaterLayer = 0.0 -minCropKC = 0.2 - -cropCoefficientNC = global_05min/landSurface/landCover/naturalTall/cropCoefficientForest.nc -interceptCapNC = global_05min/landSurface/landCover/naturalTall/interceptCapInputForest.nc -coverFractionNC = global_05min/landSurface/landCover/naturalTall/coverFractionInputForest.nc - -landCoverMapsNC = None -# If NC file is not provided, we have to provide the following pcraster maps: -fracVegCover = global_05min/landSurface/landCover/naturalTall/vegf_tall.map -minSoilDepthFrac = global_30min/landSurface/landCover/naturalTall/minf_tall_permafrost.map -maxSoilDepthFrac = global_30min/landSurface/landCover/naturalTall/maxf_tall.map -rootFraction1 = global_05min/landSurface/landCover/naturalTall/rfrac1_tall.map -rootFraction2 = global_05min/landSurface/landCover/naturalTall/rfrac2_tall.map -maxRootDepth = 1.0 -# Note: The maxRootDepth is not used for non irrigated land cover type. -# -# Parameters for the Arno's scheme: -arnoBeta = None -# If arnoBeta is defined, the soil water capacity distribution is based on this. -# If arnoBeta is NOT defined, maxSoilDepthFrac must be defined such that arnoBeta will be calculated based on maxSoilDepthFrac and minSoilDepthFrac. - -# initial conditions: -interceptStorIni = global_05min/initialConditions/interceptStor_forest_1999-12-31.map -snowCoverSWEIni = global_05min/initialConditions/snowCoverSWE_forest_1999-12-31.map -snowFreeWaterIni = global_05min/initialConditions/snowFreeWater_forest_1999-12-31.map -topWaterLayerIni = global_05min/initialConditions/topWaterLayer_forest_1999-12-31.map -storUppIni = global_05min/initialConditions/storUpp_forest_1999-12-31.map -storLowIni = global_05min/initialConditions/storLow_forest_1999-12-31.map -interflowIni = global_05min/initialConditions/interflow_forest_1999-12-31.map - - -[grasslandOptions] - -name = grassland -debugWaterBalance = True - -# snow module properties -snowModuleType = Simple -freezingT = 0.0 -degreeDayFactor = 0.0025 -snowWaterHoldingCap = 0.1 -refreezingCoeff = 0.05 - -# other paramater values -minTopWaterLayer = 0.0 -minCropKC = 0.2 - -cropCoefficientNC = global_05min/landSurface/landCover/naturalShort/cropCoefficientGrassland.nc -interceptCapNC = global_05min/landSurface/landCover/naturalShort/interceptCapInputGrassland.nc -coverFractionNC = global_05min/landSurface/landCover/naturalShort/coverFractionInputGrassland.nc - -landCoverMapsNC = None -# If NC file is not provided, we have to provide the following values: -fracVegCover = global_05min/landSurface/landCover/naturalShort/vegf_short.map -minSoilDepthFrac = global_30min/landSurface/landCover/naturalShort/minf_short_permafrost.map -maxSoilDepthFrac = global_30min/landSurface/landCover/naturalShort/maxf_short.map -rootFraction1 = global_05min/landSurface/landCover/naturalShort/rfrac1_short.map -rootFraction2 = global_05min/landSurface/landCover/naturalShort/rfrac2_short.map -maxRootDepth = 0.5 -# Note: The maxRootDepth is not used for non irrigated land cover type. -# -# Parameters for the Arno's scheme: -arnoBeta = None -# If arnoBeta is defined, the soil water capacity distribution is based on this. -# If arnoBeta is NOT defined, maxSoilDepthFrac must be defined such that arnoBeta will be calculated based on maxSoilDepthFrac and minSoilDepthFrac. - -# initial conditions: -interceptStorIni = global_05min/initialConditions/interceptStor_grassland_1999-12-31.map -snowCoverSWEIni = global_05min/initialConditions/snowCoverSWE_grassland_1999-12-31.map -snowFreeWaterIni = global_05min/initialConditions/snowFreeWater_grassland_1999-12-31.map -topWaterLayerIni = global_05min/initialConditions/topWaterLayer_grassland_1999-12-31.map -storUppIni = global_05min/initialConditions/storUpp_grassland_1999-12-31.map -storLowIni = global_05min/initialConditions/storLow_grassland_1999-12-31.map -interflowIni = global_05min/initialConditions/interflow_grassland_1999-12-31.map - - -[irrPaddyOptions] - -name = irrPaddy -debugWaterBalance = True - -# snow module properties -snowModuleType = Simple -freezingT = 0.0 -degreeDayFactor = 0.0025 -snowWaterHoldingCap = 0.1 -refreezingCoeff = 0.05 -# -landCoverMapsNC = None -# If NC file is not provided, we have to provide the following values: -fracVegCover = global_05min/landSurface/landCover/irrPaddy/fractionPaddy.map -minSoilDepthFrac = global_30min/landSurface/landCover/irrPaddy/minf_paddy_permafrost.map -maxSoilDepthFrac = global_30min/landSurface/landCover/irrPaddy/maxf_paddy.map -rootFraction1 = global_30min/landSurface/landCover/irrPaddy/rfrac1_paddy.map -rootFraction2 = global_30min/landSurface/landCover/irrPaddy/rfrac2_paddy.map -maxRootDepth = 0.5 -# -# Parameters for the Arno's scheme: -arnoBeta = None -# If arnoBeta is defined, the soil water capacity distribution is based on this. -# If arnoBeta is NOT defined, maxSoilDepthFrac must be defined such that arnoBeta will be calculated based on maxSoilDepthFrac and minSoilDepthFrac. -# -# other paramater values -minTopWaterLayer = 0.05 -minCropKC = 0.2 -cropDeplFactor = 0.2 -minInterceptCap = 0.0002 - -cropCoefficientNC = global_30min/landSurface/landCover/irrPaddy/Global_CropCoefficientKc-IrrPaddy_30min.nc - -# initial conditions: -interceptStorIni = global_05min/initialConditions/interceptStor_irrPaddy_1999-12-31.map -snowCoverSWEIni = global_05min/initialConditions/snowCoverSWE_irrPaddy_1999-12-31.map -snowFreeWaterIni = global_05min/initialConditions/snowFreeWater_irrPaddy_1999-12-31.map -topWaterLayerIni = global_05min/initialConditions/topWaterLayer_irrPaddy_1999-12-31.map -storUppIni = global_05min/initialConditions/storUpp_irrPaddy_1999-12-31.map -storLowIni = global_05min/initialConditions/storLow_irrPaddy_1999-12-31.map -interflowIni = global_05min/initialConditions/interflow_irrPaddy_1999-12-31.map - - -[irrNonPaddyOptions] - -name = irrNonPaddy -debugWaterBalance = True - -# snow module properties -snowModuleType = Simple -freezingT = 0.0 -degreeDayFactor = 0.0025 -snowWaterHoldingCap = 0.1 -refreezingCoeff = 0.05 -# -landCoverMapsNC = None -# If NC file is not provided, we have to provide the following values: -fracVegCover = global_05min/landSurface/landCover/irrNonPaddy/fractionNonPaddy.map -minSoilDepthFrac = global_30min/landSurface/landCover/irrNonPaddy/minf_nonpaddy_permafrost.map -maxSoilDepthFrac = global_30min/landSurface/landCover/irrNonPaddy/maxf_nonpaddy.map -rootFraction1 = global_30min/landSurface/landCover/irrNonPaddy/rfrac1_nonpaddy.map -rootFraction2 = global_30min/landSurface/landCover/irrNonPaddy/rfrac2_nonpaddy.map -maxRootDepth = 1.0 -# -# Parameters for the Arno's scheme: -arnoBeta = None -# If arnoBeta is defined, the soil water capacity distribution is based on this. -# If arnoBeta is NOT defined, maxSoilDepthFrac must be defined such that arnoBeta will be calculated based on maxSoilDepthFrac and minSoilDepthFrac. -# -# other paramater values -minTopWaterLayer = 0.0 -minCropKC = 0.2 -cropDeplFactor = 0.5 -minInterceptCap = 0.0002 - -cropCoefficientNC = global_30min/landSurface/landCover/irrNonPaddy/Global_CropCoefficientKc-IrrNonPaddy_30min.nc - -# initial conditions: -interceptStorIni = global_05min/initialConditions/interceptStor_irrNonPaddy_1999-12-31.map -snowCoverSWEIni = global_05min/initialConditions/snowCoverSWE_irrNonPaddy_1999-12-31.map -snowFreeWaterIni = global_05min/initialConditions/snowFreeWater_irrNonPaddy_1999-12-31.map -topWaterLayerIni = global_05min/initialConditions/topWaterLayer_irrNonPaddy_1999-12-31.map -storUppIni = global_05min/initialConditions/storUpp_irrNonPaddy_1999-12-31.map -storLowIni = global_05min/initialConditions/storLow_irrNonPaddy_1999-12-31.map -interflowIni = global_05min/initialConditions/interflow_irrNonPaddy_1999-12-31.map - - - - -[groundwaterOptions] - -debugWaterBalance = True - -groundwaterPropertiesNC = global_05min/groundwater/properties/groundwaterProperties5ArcMin.nc -# The file will containspecificYield (m3.m-3), kSatAquifer, recessionCoeff (day-1) -# -# - minimum value for groundwater recession coefficient (day-1) -minRecessionCoeff = 1.0e-4 - -# some options for constraining groundwater abstraction -limitFossilGroundWaterAbstraction = True -estimateOfRenewableGroundwaterCapacity = 0.0 -estimateOfTotalGroundwaterThickness = global_05min/groundwater/aquifer_thickness_estimate/thickness_05min.map -# minimum and maximum total groundwater thickness -minimumTotalGroundwaterThickness = 100. -maximumTotalGroundwaterThickness = None - -# annual pumping capacity for each region (unit: billion cubic meter per year), should be given in a netcdf file -pumpingCapacityNC = global_30min/waterUse/groundwater_pumping_capacity/regional_abstraction_limit.nc - -# initial conditions: -storGroundwaterIni = global_05min/initialConditions/storGroundwater_1999-12-31.map -storGroundwaterFossilIni = global_05min/initialConditions/storGroundwaterFossil_1999-12-31.map -# -# additional initial conditions for pumping behaviors -avgNonFossilGroundwaterAllocationLongIni = global_05min/initialConditions/avgNonFossilGroundwaterAllocationLong_1999-12-31.map -avgNonFossilGroundwaterAllocationShortIni = global_05min/initialConditions/avgNonFossilGroundwaterAllocationShort_1999-12-31.map -avgTotalGroundwaterAbstractionIni = global_05min/initialConditions/avgTotalGroundwaterAbstraction_1999-12-31.map -avgTotalGroundwaterAllocationLongIni = global_05min/initialConditions/avgTotalGroundwaterAllocationLong_1999-12-31.map -avgTotalGroundwaterAllocationShortIni = global_05min/initialConditions/avgTotalGroundwaterAllocationShort_1999-12-31.map -# -# additional initial conditions (needed only for MODFLOW run) -relativeGroundwaterHeadIni = global_05min/initialConditions/relativeGroundwaterHead_1999-12-31.map -baseflowIni = global_05min/initialConditions/baseflow_1999-12-31.map - -# zonal IDs (scale) at which zonal allocation of groundwater is performed -allocationSegmentsForGroundwater = global_05min/waterUse/abstraction_zones/abstraction_zones_30min_05min.map - -# assumption for the minimum transmissivity value (unit: m2/day) that can be extracted (via capillary rise and/or groundwater abstraction) - optional -minTransimissivityForProductiveAquifer = 50.0 -# - if None, abstraction and/or capillary rise can always occur everywhere and unlimited - - - -[routingOptions] - -debugWaterBalance = True - -# drainage direction map -lddMap = global_05min/routing/ldd_and_cell_area/lddsound_05min.map - -# cell area (unit: m2) -cellAreaMap = global_05min/routing/ldd_and_cell_area/cellsize05min.correct.map - -# routing method: #accuTravelTime or kinematicWave -routingMethod = accuTravelTime - -# manning coefficient -manningsN = 0.04 - -# Option for flood plain simulation -dynamicFloodPlain = False - -# manning coefficient for floodplain -floodplainManningsN = 0.07 - - -# channel gradient -gradient = global_05min/routing/channel_properties/channel_gradient.map - -# constant channel depth -constantChannelDepth = global_05min/routing/channel_properties/bankfull_depth.map - -# constant channel width (optional) -constantChannelWidth = global_05min/routing/channel_properties/bankfull_width.map - -# minimum channel width (optional) -minimumChannelWidth = global_05min/routing/channel_properties/bankfull_width.map - -# channel properties for flooding -bankfullCapacity = None -# - If None, it will be estimated from (bankfull) channel depth (m) and width (m) - - -# files for relative elevation (above minimum dem) -relativeElevationFiles = global_05min/routing/channel_properties/dzRel%04d.map -relativeElevationLevels = 0.0, 0.01, 0.05, 0.10, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90, 1.00 - - -# composite crop factors for WaterBodies: -cropCoefficientWaterNC = global_30min/routing/kc_surface_water/cropCoefficientForOpenWater.nc -minCropWaterKC = 1.00 - - -# lake and reservoir parameters -waterBodyInputNC = global_05min/routing/surface_water_bodies/waterBodies5ArcMin.nc -onlyNaturalWaterBodies = False - - -# initial conditions: -waterBodyStorageIni = global_05min/initialConditions/waterBodyStorage_1999-12-31.map -channelStorageIni = global_05min/initialConditions/channelStorage_1999-12-31.map -readAvlChannelStorageIni = global_05min/initialConditions/readAvlChannelStorage_1999-12-31.map -avgDischargeLongIni = global_05min/initialConditions/avgDischargeLong_1999-12-31.map -avgDischargeShortIni = global_05min/initialConditions/avgDischargeShort_1999-12-31.map -m2tDischargeLongIni = global_05min/initialConditions/m2tDischargeLong_1999-12-31.map -avgBaseflowLongIni = global_05min/initialConditions/avgBaseflowLong_1999-12-31.map -riverbedExchangeIni = global_05min/initialConditions/riverbedExchange_1999-12-31.map -# -# initial condition of sub-time step discharge (needed for estimating number of time steps in kinematic wave methods) -subDischargeIni = global_05min/initialConditions/subDischarge_1999-12-31.map -# -avgLakeReservoirInflowShortIni = global_05min/initialConditions/avgLakeReservoirInflowShort_1999-12-31.map -avgLakeReservoirOutflowLongIni = global_05min/initialConditions/avgLakeReservoirOutflowLong_1999-12-31.map -# -# number of days (timesteps) that have been performed for spinning up initial conditions in the routing module (i.e. channelStorageIni, avgDischargeLongIni, avgDischargeShortIni, etc.) -timestepsToAvgDischargeIni = global_05min/initialConditions/timestepsToAvgDischarge_1999-12-31.map -# Note that: -# - maximum number of days (timesteps) to calculate long term average flow values (default: 5 years = 5 * 365 days = 1825) -# - maximum number of days (timesteps) to calculate short term average values (default: 1 month = 1 * 30 days = 30) - - - - -[reportingOptions] - -# output files that will be written in the disk in netcdf files: -# - daily resolution -#outDailyTotNC = temperature,precipitation,totalEvaporation,gwRecharge,totalRunoff,totalGroundwaterAbstraction,discharge,surfaceWaterStorage,interceptStor,snowFreeWater,snowCoverSWE,topWaterLayer,storUppTotal,storLowTotal,storGroundwater,totalWaterStorageThickness,channelStorage,surfaceWaterAbstraction,nonIrrGrossDemand,nonIrrWaterConsumption,irrPaddyWaterWithdrawal,domesticWaterWithdrawal,industryWaterWithdrawal,precipitation_at_irrigation,evaporation_from_irrigation,surfaceWaterStorage,dynamicFracWat,floodVolume,floodDepth,surfaceWaterLevel -outDailyTotNC = temperature,precipitation,totalEvaporation,gwRecharge,totalRunoff,totalGroundwaterAbstraction,discharge,surfaceWaterStorage,interceptStor,snowFreeWater,snowCoverSWE,topWaterLayer,storUppTotal,storLowTotal,storGroundwater,totalWaterStorageThickness,channelStorage,surfaceWaterAbstraction,nonIrrGrossDemand,nonIrrWaterConsumption,irrPaddyWaterWithdrawal,domesticWaterWithdrawal,industryWaterWithdrawal,precipitation_at_irrigation,evaporation_from_irrigation,surfaceWaterStorage,dynamicFracWat,surfaceWaterLevel -# - monthly resolution -outMonthTotNC = None -outMonthAvgNC = None -outMonthEndNC = None -# - annual resolution -outAnnuaTotNC = None -outAnnuaAvgNC = None -outAnnuaEndNC = None -# - monthly and annual maxima -outMonthMaxNC = None -outAnnuaMaxNC = None - -# netcdf format and zlib setup -formatNetCDF = NETCDF4 -zlib = True diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/sonoran_desert_05min.map b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/sonoran_desert_05min.map deleted file mode 100644 index 1f7be61..0000000 Binary files a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/sonoran_desert_05min.map and /dev/null differ diff --git a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/sonoran_desert_mpi-esm1-2-hr_05min.map b/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/sonoran_desert_mpi-esm1-2-hr_05min.map deleted file mode 100644 index 1f7be61..0000000 Binary files a/book/thesis_projects/BSc/2024_Q2_ElineMol_CEG/Drafts/CMIP6/sonoran_desert_mpi-esm1-2-hr_05min.map and /dev/null differ