xskillscore: Metrics for verifying forecasts

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xskillscore is an open source project and Python package that provides verification metrics of deterministic (and probabilistic from properscoring) forecasts with xarray.

Installing

$ conda install -c conda-forge xskillscore

or

$ pip install xskillscore

or

$ pip install git+https://github.com/xarray-contrib/xskillscore

Documentation

Documentation can be found on readthedocs <https://xskillscore.readthedocs.io/en/latest/>_.

See also

• If you are interested in using xskillscore for data science where you data is mostly in pandas.DataFrames's check out the xskillscore-tutorial <https://github.com/raybellwaves/xskillscore-tutorial>_.
• If you are interested in using xskillscore for climate prediction check out climpred <https://climpred.readthedocs.io/en/stable/>_.

History

xskillscore was originally developed to parallelize forecast metrics of the multi-model-multi-ensemble forecasts associated with the SubX <https://journals.ametsoc.org/doi/pdf/10.1175/BAMS-D-18-0270.1>_ project.

We are indebted to the xarray community for their advice <https://groups.google.com/forum/#!searchin/xarray/xskillscore%7Csort:date/xarray/z8ue0G-BLc8/Cau-dY_ACAAJ>_ in getting this package started.

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