Extended seasonal forecasts in agriculture and water resources sectors

1- Download and install Anaconda

• For Windows, download the executable here
• For Linux (Ubuntu), in the terminal run:

  sudo apt-get update
  sudo apt-get upgrade
  sudo apt-get install wget
  wget -c -r https://repo.anaconda.com/archive/Anaconda3-2023.07-1-Linux-x86_64.sh --no-check-certificate

  • Install anaconda

    bash https://repo.anaconda.com/archive/Anaconda3-2023.07-1-Linux-x86_64.sh

2- Create and activate the RCC_WAS_ESF environment

For Windows, run Anaconda prompt, and for Linux, launch the terminal. Copy and paste this code:

conda create -n RCC_WAS_ESF
conda activate RCC_WAS_ESF

3- Create CDS API key

• Create an account with Copernicus by signing up here
• Once you successfully create an account, kindly log in to your Copernicus account here and note your UID and API key.

4- Configure .cdsapirc file

In your activated terminal, where the RCC_WAS_SF environment is active, kindly initiate the Python interpreter by entering the command python3. Subsequently, carefully copy and paste the below code, ensuring to replace "UID" and "API_KEY" with yours.

import os

config_data = '''url: https://cds.climate.copernicus.eu/api/v2
key: UID:API_KEY
verify: 0
'''

path_to_home = "/".join([os.path.expanduser('~'),".cdsapirc"])

if not os.path.exists(path_to_home):
    with open(path_to_home, 'w') as file:
        file.write(config_data)

Quit python3 using ctrl+D

5- Install the necessary packages for RCC_WAS_ESF

pip install xarray==2022.11.0
pip install cdsapi 
pip install pandas
conda install jupyter
pip install rasterio
pip install rioxarray
python -m ipykernel install --user --name=RCC_WAS_ESF
conda install -c r r-essentials r-irkernel
conda install r-rgeos
conda install r-rgdal
conda install -c r r-sf 
conda install -c r-stars
conda install -c r r-tidyverse 
conda install -c r r-scales 
conda install -c r r-lubridate 
conda install -c r r-foreach
conda install -c r r-doParallel
conda install -c r r-raster 
conda install -c r r-ncdf4