This repository contains all related to resampling module for AClimate

• Generate climate scenarios base on probabilities
• Complete daily data using CHIRPS and ERA 5
• Include data for case use in data folder
• Include modules to configure the env in modules folder

• Python 3.x
• You need the .cdsapirc file which should be in $HOME if you are using linux or User Home if you use Windows

You should create a env to run the code and install the requeriments. Run the following commands in the prompt

pip install virtualenv
venv env
pip install -r requirements.txt

You can run the unit testing using the following command

python -m unittest discover -s .\test

This module can be used as a library in other Python projects. You can install this module using pip:

pip install git+https://github.com/CIAT-DAPA/aclimate_resampling

If you want to download a specific version of orm you can do so by indicating the version tag (@v0.0.0) at the end of the install command

pip install git+https://github.com/CIAT-DAPA/[email protected]

You can run the module using the command aclimate_resampling followed by the required parameters:

aclimate_resampling -C ETHIOPIA -p "D:\\aclimate_resampling\\data\\" -m 1 -c 2 -y 2023

-C, --country: Name of the country to be processed. -p, --path: Root path where the forecast is running (default: current directory). -m, --prev-months: Amount of months that you want to add. -c, --cores: Number of CPU cores to use in the calculation. -y, --forecast-year: Year Forecast.