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kjhall01
A High-Performance Data Science Toolkit for the Earth Sciences
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
- Why XCast?
- Installation
- License
- Contact
- 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.
kjhall01