excercise_jpl_satellite.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "750e4eb7-a734-468f-8c8b-c93bd24295f3",
   "metadata": {},
   "source": [
    "# Excercise: Visualise JPL satellite data\n",
    "\n",
    "The NOAA coastwatch server hosts a range of gridded datasets from JPL managed satellites."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8fb68836-b227-485a-bea9-9b7c6b8fa614",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import xarray as xr\n",
    "import datetime\n",
    "import numpy as np\n",
    "import cartopy\n",
    "from erddapy import ERDDAP"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8297314b-6333-48c4-9920-3ce91afd4283",
   "metadata": {},
   "source": [
    "1. Setup the ERDDAP connection to NOAA coastwatch ERDDAP https://coastwatch.pfeg.noaa.gov/erddap/index.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2a01958f-d6ef-4fa7-8940-2b81bffc61e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "e = ERDDAP(\n",
    "    server=\"your server here\", \n",
    "    protocol=\"griddap\", # use griddap for gridded datasets like satellites\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "100c2f73-88ac-432d-a324-556dbe9250ce",
   "metadata": {},
   "source": [
    "2. Search for satellite datasets\n",
    "\n",
    "\n",
    "**hint:** use the search function either on the site itself, or using erddapy, to find satellite datasets of interest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f05639b9-8dda-49d4-bb89-477e4d7784b2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "eb700634-4cff-4498-8b1e-7421ee792ca1",
   "metadata": {},
   "source": [
    "3. Download a dataset of interest \n",
    "\n",
    "**hint**: don't forget to run e.griddap_initialize() for gridded datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "91a020ce-4d06-4fdc-bb57-4c2b87e93b5d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "c4e64414-716c-4e9c-bd17-d2bdddce2501",
   "metadata": {},
   "source": [
    "4. Experiment with constraints.\n",
    "\n",
    "Remember that gridded datasets default to the most recent time slice only [notebook 4, griddap section](http://localhost:8888/lab/tree/04_EMODnet_data.ipynb#Gridded-data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff71eb9c-f958-49a2-a53a-58d882b0561d",
   "metadata": {},
   "source": [
    "4. Start analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c6a5072-68cd-4dc7-aeb9-d8db00dcd1a1",
   "metadata": {},
   "source": [
    "### Quick example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1c3eefd0-e8af-41bd-9310-4afc19af45a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "e = ERDDAP(\n",
    "    server=\"https://coastwatch.pfeg.noaa.gov/erddap\", \n",
    "    protocol=\"griddap\", # use griddap for gridded datasets\n",
    ")\n",
    "e.dataset_id = \"NOAA_DHW_monthly\"\n",
    "e.griddap_initialize() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "620648f2-a6ad-4ad6-aad7-60e3a948f208",
   "metadata": {},
   "outputs": [],
   "source": [
    "e.constraints = {'time>=': '2017-09-13T00:00:00Z',\n",
    " 'time<=': '2017-09-13T00:00:00Z',\n",
    " 'time_step': 1,\n",
    " 'latitude>=': -79.995,\n",
    " 'latitude<=': 79.995,\n",
    " 'latitude_step': 10,\n",
    " 'longitude>=': -179.995,\n",
    " 'longitude<=': 179.995,\n",
    " 'longitude_step': 10}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "20b4ef04-9994-4324-9c2d-6133b1b34485",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = e.to_xarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e5028fd0-7b7a-4b4c-951b-12a7858ce84b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                          (time: 1, latitude: 320, longitude: 720)\n",
       "Coordinates:\n",
       "  * time                             (time) datetime64[ns] 2017-09-15T23:00:00\n",
       "  * latitude                         (latitude) float32 79.97 79.47 ... -79.53\n",
       "  * longitude                        (longitude) float32 -180.0 -179.5 ... 179.5\n",
       "Data variables:\n",
       "    sea_surface_temperature          (time, latitude, longitude) float32 ...\n",
       "    mask                             (time, latitude, longitude) float32 ...\n",
       "    sea_surface_temperature_anomaly  (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/65)\n",
       "    acknowledgement:                  NOAA Coral Reef Watch program\n",
       "    cdm_data_type:                    Grid\n",
       "    comment:                          This is a product of NOAA Coral Reef Wa...\n",
       "    contributor_name:                 NOAA Coral Reef Watch program\n",
       "    contributor_role:                 Collecting source data and deriving pro...\n",
       "    Conventions:                      CF-1.6, ACDD-1.3, COARDS\n",
       "    ...                               ...\n",
       "    time_coverage_duration:           P1M\n",
       "    time_coverage_end:                2017-09-15T23:00:00Z\n",
       "    time_coverage_resolution:         P1M\n",
       "    time_coverage_start:              2017-09-15T23:00:00Z\n",
       "    title:                            SST and SST Anomaly, NOAA Global Coral ...\n",
       "    Westernmost_Easting:              -179.975</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cbf0d43a-6e91-4eff-949f-9e1828051e98' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cbf0d43a-6e91-4eff-949f-9e1828051e98' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>latitude</span>: 320</li><li><span class='xr-has-index'>longitude</span>: 720</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-74ffa2d6-eabf-4400-9dc9-4910f2764f1e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-74ffa2d6-eabf-4400-9dc9-4910f2764f1e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-09-15T23:00:00</div><input id='attrs-7cf86d97-b4cb-45b7-8927-3ac8192cf12a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cf86d97-b4cb-45b7-8927-3ac8192cf12a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa5284db-694f-4c9e-a624-5b138f88a67a' class='xr-var-data-in' type='checkbox'><label for='data-aa5284db-694f-4c9e-a624-5b138f88a67a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_CoordinateAxisType :</span></dt><dd>Time</dd><dt><span>actual_range :</span></dt><dd>[1.5055164e+09 1.5055164e+09]</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ioos_category :</span></dt><dd>Time</dd><dt><span>long_name :</span></dt><dd>reference time of the last day of the composite temporal coverage</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>time_origin :</span></dt><dd>01-JAN-1970 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2017-09-15T23:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>79.97 79.47 78.97 ... -79.03 -79.53</div><input id='attrs-759f2198-0cb9-4778-af6f-78d2e141b9f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-759f2198-0cb9-4778-af6f-78d2e141b9f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea66838c-e687-4c4e-a4e9-116232a18644' class='xr-var-data-in' type='checkbox'><label for='data-ea66838c-e687-4c4e-a4e9-116232a18644' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd><dt><span>actual_range :</span></dt><dd>[-79.525  79.975]</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>comment :</span></dt><dd>equirectangular projection and grid centers</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ioos_category :</span></dt><dd>Location</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>89.975</dd><dt><span>valid_min :</span></dt><dd>-89.975</dd></dl></div><div class='xr-var-data'><pre>array([ 79.975,  79.475,  78.975, ..., -78.525, -79.025, -79.525],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.5 ... 179.0 179.5</div><input id='attrs-6a1f93f4-201e-4fa5-9b38-7db7af383ffe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a1f93f4-201e-4fa5-9b38-7db7af383ffe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b86b4f9-9bf5-462a-83db-4da35f2fc3a2' class='xr-var-data-in' type='checkbox'><label for='data-9b86b4f9-9bf5-462a-83db-4da35f2fc3a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd><dt><span>actual_range :</span></dt><dd>[-179.975  179.525]</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>comment :</span></dt><dd>equirectangular projection and grid centers</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>ioos_category :</span></dt><dd>Location</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_max :</span></dt><dd>179.975</dd><dt><span>valid_min :</span></dt><dd>-179.975</dd></dl></div><div class='xr-var-data'><pre>array([-179.975, -179.475, -178.975, ...,  178.525,  179.025,  179.525],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a8c905f5-c625-480a-969c-98b688e1b169' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a8c905f5-c625-480a-969c-98b688e1b169' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ed417089-f16a-4d56-b269-7b85e1ed6165' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed417089-f16a-4d56-b269-7b85e1ed6165' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc1b43d9-4f7b-40a7-bde0-910c70471398' class='xr-var-data-in' type='checkbox'><label for='data-cc1b43d9-4f7b-40a7-bde0-910c70471398' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>colorBarMaximum :</span></dt><dd>32.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>ioos_category :</span></dt><dd>Temperature</dd><dt><span>long_name :</span></dt><dd>analysed sea surface temperature</dd><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>valid_max :</span></dt><dd>50.0</dd><dt><span>valid_min :</span></dt><dd>-2.0</dd></dl></div><div class='xr-var-data'><pre>[230400 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-528ab67a-01d2-4c3d-bb10-7a5c7b163b2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-528ab67a-01d2-4c3d-bb10-7a5c7b163b2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27f24713-db18-489c-9e17-d73ba3ec649a' class='xr-var-data-in' type='checkbox'><label for='data-27f24713-db18-489c-9e17-d73ba3ec649a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>colorBarMaximum :</span></dt><dd>5.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>A 2D array, in the same size as the data array in the X and Y directions, the classifies land, ice pixels, and water (data) pixels</dd><dt><span>coverage_content_type :</span></dt><dd>thematicClassification</dd><dt><span>flag_meanings :</span></dt><dd>valid-water land missing ice</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 4]</dd><dt><span>ioos_category :</span></dt><dd>Quality</dd><dt><span>long_name :</span></dt><dd>Pixel characteristics flag array</dd><dt><span>units :</span></dt><dd>pixel_classification</dd></dl></div><div class='xr-var-data'><pre>[230400 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_temperature_anomaly</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f630b0e1-a1b0-4d2c-8cb8-94cbb73c7622' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f630b0e1-a1b0-4d2c-8cb8-94cbb73c7622' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2646a2ca-2fb7-4380-b34d-38787d5e1caa' class='xr-var-data-in' type='checkbox'><label for='data-2646a2ca-2fb7-4380-b34d-38787d5e1caa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>colorBarMaximum :</span></dt><dd>3.0</dd><dt><span>colorBarMinimum :</span></dt><dd>-3.0</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>ioos_category :</span></dt><dd>Temperature</dd><dt><span>long_name :</span></dt><dd>sea surface temperature anomaly</dd><dt><span>standard_name :</span></dt><dd>surface_temperature_anomaly</dd><dt><span>units :</span></dt><dd>degree_C</dd><dt><span>valid_max :</span></dt><dd>15.0</dd><dt><span>valid_min :</span></dt><dd>-15.0</dd></dl></div><div class='xr-var-data'><pre>[230400 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e40c5acd-e272-43ad-892d-1e0f903c0869' class='xr-section-summary-in' type='checkbox'  ><label for='section-e40c5acd-e272-43ad-892d-1e0f903c0869' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e593ab73-3580-4ca3-9fe6-fde38d54d04e' class='xr-index-data-in' type='checkbox'/><label for='index-e593ab73-3580-4ca3-9fe6-fde38d54d04e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2017-09-15 23:00:00&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-aa40477c-075c-4cb4-b24c-2a261c0a5b89' class='xr-index-data-in' type='checkbox'/><label for='index-aa40477c-075c-4cb4-b24c-2a261c0a5b89' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 79.9749984741211,  79.4749984741211,  78.9749984741211,\n",
       "               78.4749984741211,  77.9749984741211,  77.4749984741211,\n",
       "               76.9749984741211,  76.4749984741211,  75.9749984741211,\n",
       "               75.4749984741211,\n",
       "              ...\n",
       "              -75.0250015258789, -75.5250015258789, -76.0250015258789,\n",
       "              -76.5250015258789, -77.0250015258789, -77.5250015258789,\n",
       "              -78.0250015258789, -78.5250015258789, -79.0250015258789,\n",
       "              -79.5250015258789],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;, length=320))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-15d95044-9f1e-485d-9436-6697014f70fa' class='xr-index-data-in' type='checkbox'/><label for='index-15d95044-9f1e-485d-9436-6697014f70fa' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-179.97500610351562, -179.47500610351562, -178.97500610351562,\n",
       "              -178.47500610351562, -177.97500610351562, -177.47500610351562,\n",
       "              -176.97500610351562, -176.47500610351562, -175.97500610351562,\n",
       "              -175.47500610351562,\n",
       "              ...\n",
       "               175.02499389648438,  175.52499389648438,  176.02499389648438,\n",
       "               176.52499389648438,  177.02499389648438,  177.52499389648438,\n",
       "               178.02499389648438,  178.52499389648438,  179.02499389648438,\n",
       "               179.52499389648438],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=720))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-84437f5b-9a0b-490f-8e92-91a58f333f95' class='xr-section-summary-in' type='checkbox'  ><label for='section-84437f5b-9a0b-490f-8e92-91a58f333f95' class='xr-section-summary' >Attributes: <span>(65)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>acknowledgement :</span></dt><dd>NOAA Coral Reef Watch program</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>comment :</span></dt><dd>This is a product of NOAA Coral Reef Watch Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite Version 3.1, derived from CoralTemp v1.0.</dd><dt><span>contributor_name :</span></dt><dd>NOAA Coral Reef Watch program</dd><dt><span>contributor_role :</span></dt><dd>Collecting source data and deriving products; performing quality control of products; disseminating, storing, and submitting data to archive.</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3, COARDS</dd><dt><span>creator_email :</span></dt><dd>coralreefwatch@noaa.gov</dd><dt><span>creator_institution :</span></dt><dd>NOAA/NESDIS/STAR Coral Reef Watch program</dd><dt><span>creator_name :</span></dt><dd>NOAA Coral Reef Watch program</dd><dt><span>creator_type :</span></dt><dd>group</dd><dt><span>creator_url :</span></dt><dd>https://coralreefwatch.noaa.gov</dd><dt><span>date_created :</span></dt><dd>2018-03-01T12:00:00Z</dd><dt><span>date_issued :</span></dt><dd>2019-01-19T20:32:23Z</dd><dt><span>date_metadata_modified :</span></dt><dd>2018-09-01T12:00:00Z</dd><dt><span>date_modified :</span></dt><dd>2018-03-01T12:00:00Z</dd><dt><span>Easternmost_Easting :</span></dt><dd>179.525</dd><dt><span>geospatial_bounds :</span></dt><dd>POLYGON((-90.0 180.0, 90.0 180.0, 90.0 -180.0, -90.0 -180.0, -90.0 180.0))</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:4326</dd><dt><span>geospatial_lat_max :</span></dt><dd>79.975</dd><dt><span>geospatial_lat_min :</span></dt><dd>-79.525</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_max :</span></dt><dd>179.525</dd><dt><span>geospatial_lon_min :</span></dt><dd>-179.975</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>grid_mapping_epsg_code :</span></dt><dd>EPSG:32663</dd><dt><span>grid_mapping_inverse_flattening :</span></dt><dd>298.2572</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>grid_mapping_semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>history :</span></dt><dd>Monthly data files for mean sea surface temperature (SST) and sea surface temperature anomaly (SST anomaly) were downloaded from ftp.star.nesdis.noaa.gov/pub/sod/mecb/crw/data/5km/v3.1/nc/v1.0/monthly. Monthly files were created that contain both SST and SST anomaly data, and a mask of earth surface classifications.\n",
       "2023-05-30T13:41:45Z (local files)\n",
       "2023-05-30T13:41:45Z http://coastwatch.pfeg.noaa.gov/erddap/griddap/NOAA_DHW_monthly.nc?sea_surface_temperature%5B(2017-09-13T00:00:00Z):1:(2017-09-13T00:00:00Z)%5D%5B(-79.995):10:(79.995)%5D%5B(-179.995):10:(179.995)%5D,mask%5B(2017-09-13T00:00:00Z):1:(2017-09-13T00:00:00Z)%5D%5B(-79.995):10:(79.995)%5D%5B(-179.995):10:(179.995)%5D,sea_surface_temperature_anomaly%5B(2017-09-13T00:00:00Z):1:(2017-09-13T00:00:00Z)%5D%5B(-79.995):10:(79.995)%5D%5B(-179.995):10:(179.995)%5D</dd><dt><span>id :</span></dt><dd>Satellite_Global_5km_CoralTemp_SST_SSTA_Monthly_Mean_Composite</dd><dt><span>infoUrl :</span></dt><dd>https://coralreefwatch.noaa.gov/product/5km/index.php</dd><dt><span>institution :</span></dt><dd>NOAA/NESDIS/STAR Coral Reef Watch program</dd><dt><span>instrument :</span></dt><dd>ATSR-1, ATSR-2, AATSR, AVHRR, AVHRR-2, AVHRR-3, VIIRS, GOES Imager, MTSAT Imager, MTSAT 2 Imager, AHI, ABI, SEVIRI, buoy - moored buoy, buoy - drifting buoy, buoy - TAO buoy, surface seawater intake</dd><dt><span>instrument_vocabulary :</span></dt><dd>NOAA NODC Ocean Archive System Instruments</dd><dt><span>keywords :</span></dt><dd>5km, analysed, anomaly, array, characteristics, coral, crw, data, earth, Earth Science &gt; Land Surface &gt; Land Temperature &gt; Land Surface Temperature, Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature, Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature Anomaly, Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Water Temperature, Earth Science &gt; Spectral/Engineering &gt; Infrared Wavelengths &gt; Thermal Infrared, engineering, environmental, flag, global, information, infrared, land, latitude, longitude, mask, mean, month, monthly, national, nesdis, noaa, ocean, oceans, pixel, program, quality, reef, satellite, science, sea, sea_surface_temperature, sea_surface_temperature_anomaly, seawater, service, spectral, spectral/engineering, sst, star, surface, surface_temperature_anomaly, temperature, thermal, time, v.3.1, watch, water, wavelengths</dd><dt><span>keywords_vocabulary :</span></dt><dd>GCMD Science Keywords</dd><dt><span>license :</span></dt><dd>The data produced by Coral Reef Watch are available for use without restriction, but Coral Reef Watch relies on the ethics and integrity of the user to ensure that the source of the data and products is appropriately cited and credited. When using these data and products, credit and courtesy should be given to NOAA Coral Reef Watch. Please include the appropriate DOI associated with this dataset in the citation. For more information, visit the NOAA Coral Reef Watch website: https://coralreefwatch.noaa.gov. Recommendations for citing and providing credit are provided at https://coralreefwatch.noaa.gov/satellite/docs/recommendations_crw_citation.php. Users are referred to the footer section of the Coral Reef Watch website (https://coralreefwatch.noaa.gov/index.php) for disclaimers, policies, notices pertaining to the use of the data.</dd><dt><span>metadata_link :</span></dt><dd>https://coralreefwatch.noaa.gov/product/5km/index.php</dd><dt><span>naming_authority :</span></dt><dd>gov.noaa.coralreefwatch</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 5.1.0 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)</dd><dt><span>Northernmost_Northing :</span></dt><dd>79.975</dd><dt><span>platform :</span></dt><dd>Ships, drifting buoys, moored buoys, TOGA-TAO buoy arrays, GOES-8 satellite, GOES-9 satellite, GOES-10 satellite, GOES-11 satellite, GOES-12 satellite, GOES-13 satellite, GOES-14 satellite, GOES-15 satellite, GOES-16 satellite, MTSAT-1R satellite, MTSAT-2 satellite, Himawari-8 satellite, Meteosat-8 satellite, Meteosat-9 satellite, Meteoset-10 satellite, Meteosat-11 satellite, Suomi NPP, MetOp-A satellite, MetOp-B satellite, NOAA-9 satellite, NOAA-11 satellite, NOAA-12 satellite, NOAA-14 satellite, NOAA-15 satellite, NOAA-16 satellite, NOAA-17 satellite, NOAA-18 satellite, NOAA-19 satellite.</dd><dt><span>platform_vocabulary :</span></dt><dd>NOAA NODC Ocean Archive System Platforms</dd><dt><span>processing_level :</span></dt><dd>Derived from L4 satellite sea surface temperature analysis</dd><dt><span>product_version :</span></dt><dd>3.1</dd><dt><span>program :</span></dt><dd>NOAA Coral Reef Watch program</dd><dt><span>project :</span></dt><dd>NOAA Coral Reef Watch program</dd><dt><span>publisher_email :</span></dt><dd>erd.data at noaa.gov</dd><dt><span>publisher_institution :</span></dt><dd>NOAA/NESDIS/STAR Coral Reef Watch program</dd><dt><span>publisher_name :</span></dt><dd>NOAA NMFS SWFSC ERD, CoastWatch West Coast Node</dd><dt><span>publisher_type :</span></dt><dd>institution</dd><dt><span>publisher_url :</span></dt><dd>https://coralreefwatch.noaa.gov, https://coastwatch.pfeg.noaa.gov/</dd><dt><span>references :</span></dt><dd>https://coralreefwatch.noaa.gov/product/5km/index.php and https://coralreefwatch.noaa.gov/satellite/coraltemp.php</dd><dt><span>source :</span></dt><dd>Coral Reef Watch CoralTemp v1.0</dd><dt><span>sourceUrl :</span></dt><dd>(local files)</dd><dt><span>Southernmost_Northing :</span></dt><dd>-79.525</dd><dt><span>spatial_resolution :</span></dt><dd>0.05 degree</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v27</dd><dt><span>summary :</span></dt><dd>This is a product of NOAA Coral Reef Watch Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite, derived from CoralTemp v1.0.</dd><dt><span>time_coverage_duration :</span></dt><dd>P1M</dd><dt><span>time_coverage_end :</span></dt><dd>2017-09-15T23:00:00Z</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1M</dd><dt><span>time_coverage_start :</span></dt><dd>2017-09-15T23:00:00Z</dd><dt><span>title :</span></dt><dd>SST and SST Anomaly, NOAA Global Coral Bleaching Monitoring, 5km, V.3.1, Monthly, 1985-Present</dd><dt><span>Westernmost_Easting :</span></dt><dd>-179.975</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                          (time: 1, latitude: 320, longitude: 720)\n",
       "Coordinates:\n",
       "  * time                             (time) datetime64[ns] 2017-09-15T23:00:00\n",
       "  * latitude                         (latitude) float32 79.97 79.47 ... -79.53\n",
       "  * longitude                        (longitude) float32 -180.0 -179.5 ... 179.5\n",
       "Data variables:\n",
       "    sea_surface_temperature          (time, latitude, longitude) float32 ...\n",
       "    mask                             (time, latitude, longitude) float32 ...\n",
       "    sea_surface_temperature_anomaly  (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/65)\n",
       "    acknowledgement:                  NOAA Coral Reef Watch program\n",
       "    cdm_data_type:                    Grid\n",
       "    comment:                          This is a product of NOAA Coral Reef Wa...\n",
       "    contributor_name:                 NOAA Coral Reef Watch program\n",
       "    contributor_role:                 Collecting source data and deriving pro...\n",
       "    Conventions:                      CF-1.6, ACDD-1.3, COARDS\n",
       "    ...                               ...\n",
       "    time_coverage_duration:           P1M\n",
       "    time_coverage_end:                2017-09-15T23:00:00Z\n",
       "    time_coverage_resolution:         P1M\n",
       "    time_coverage_start:              2017-09-15T23:00:00Z\n",
       "    title:                            SST and SST Anomaly, NOAA Global Coral ...\n",
       "    Westernmost_Easting:              -179.975"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "48789777-2c0b-4992-9ca0-35d9b368b139",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f723f5bad10>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds.sea_surface_temperature.plot(vmin=0, vmax=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b7ff4d9a-efd7-46ff-8f7f-bbe1cb68f934",
   "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": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}