XCast: A Climate Forecasting Toolkit

**working on xcast v2 -- keep an eye out**

XCast is a free and open source climate forecasting toolkit written by Kyle Hall & Nachiketa Acharya, designed to help forecasters and earth scientists apply state-of-the-art postprocessing techniques to gridded data sets.
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Table of Contents

1. Why XCast?
2. Installation
3. License
4. Contact
5. Acknowledgements

Installation

XCast is distributed on Anaconda , and can be installed like any other Python library with the following command:

conda install -c conda-forge -c hallkjc01 xcast 

to set up an XCast environment for use with Jupyter notebook, please use the following commands:

conda create -n xcast_env -c conda-forge -c hallkjc01 xcast xarray netcdf4 jupyter ipykernel 
conda activate xcast_env 
python -m ipykernel install --name=xcast_env --user 

you'll then be able to select xcast_env from the list of available jupyter kernels in your jupyter notebook

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Please make an issue here.