Metrics for verifying forecasts
Project description
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 thexskillscore-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 orginally 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.
Release history Release notifications | RSS feed
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