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<!-- PROJECT LOGO --> <br /> <p align="center"> <a href="https://github.com/kjhall01/xcast/"> <img src="images/XCastLogo.png" alt="Logo" width="200" height="200"> </a> <h3 align="center">XCast: A Climate Forecasting Toolkit </h3> <h3 align="center">**working on xcast v2 -- keep an eye out** </h3>

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. <br /> <a href="https://xcast-lib.github.io/"><strong>Explore the docs»</strong></a> <br /> <a href="https://github.com/kjhall01/xcast/issues">Report Bug</a>

</p> </p> <!-- TABLE OF CONTENTS --> <details open="open"> <summary><h2 style="display: inline-block">Table of Contents</h2></summary> <ol> <li><a href="#why-xcast">Why XCast?</a></li> <li><a href="#installation">Installation</a></li> <li><a href="#license">License</a></li> <li><a href="#contact">Contact</a></li> <li><a href="#acknowledgements">Acknowledgements</a></li> </ol> </details>

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

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License

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

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Contact

Please make an issue here.

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