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Metrics for verifying forecasts\n============================================\n\n.. image:: https://github.com/xarray-contrib/xskillscore/actions/workflows/xskillscore_testing.yml/badge.svg\n   :target: https://github.com/xarray-contrib/xskillscore/actions/workflows/xskillscore_testing.yml\n\n.. image:: https://github.com/xarray-contrib/xskillscore/actions/workflows/upstream-dev-ci.yml/badge.svg\n   :target: https://github.com/xarray-contrib/xskillscore/actions/workflows/upstream-dev-ci.yml\n\n.. image:: https://results.pre-commit.ci/badge/github/xarray-contrib/xskillscore/main.svg\n   :target: https://results.pre-commit.ci/latest/github/xarray-contrib/xskillscore/main\n\n.. image:: https://img.shields.io/pypi/v/xskillscore.svg\n   :target: https://pypi.python.org/pypi/xskillscore/\n\n.. image:: https://codecov.io/gh/xarray-contrib/xskillscore/branch/main/graph/badge.svg\n   :target: https://codecov.io/gh/xarray-contrib/xskillscore\n\n.. image:: https://img.shields.io/readthedocs/xskillscore/stable.svg?style=flat\n   :target: https://xskillscore.readthedocs.io/en/stable/?badge=stable\n\n.. image:: https://img.shields.io/conda/vn/conda-forge/xskillscore.svg\n   :target: https://anaconda.org/conda-forge/xskillscore\n\n.. image:: https://mybinder.org/badge_logo.svg\n   :target: https://mybinder.org/v2/gh/raybellwaves/xskillscore-tutorial/master?urlpath=lab\n\n.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.5173152.svg\n   :target: https://doi.org/10.5281/zenodo.5173152\n\n**xskillscore** is an open source project and Python package that provides verification\nmetrics of deterministic (and probabilistic from `properscoring`) forecasts with `xarray`.\n\nInstalling\n----------\n\n``$ conda install -c conda-forge xskillscore``\n\nor\n\n``$ pip install xskillscore``\n\nor\n\n``$ pip install git+https://github.com/xarray-contrib/xskillscore``\n\nDocumentation\n-------------\nDocumentation can be found on `readthedocs \u003chttps://xskillscore.readthedocs.io/en/latest/\u003e`_.\n\nSee also\n--------\n\n- If you are interested in using **xskillscore** for data science where you data is mostly in\n  ``pandas.DataFrames``'s check out the `xskillscore-tutorial \u003chttps://github.com/raybellwaves/xskillscore-tutorial\u003e`_\n- If you are interested in using **xskillscore** for climate prediction check out\n  `climpred \u003chttps://climpred.readthedocs.io/en/stable/\u003e`_.\n\nHistory\n-------\n\n**xskillscore** was orginally developed to parallelize forecast metrics of the multi-model-multi-ensemble\nforecasts associated with the `SubX \u003chttps://journals.ametsoc.org/doi/pdf/10.1175/BAMS-D-18-0270.1\u003e`_ project.\n\nWe are indebted to the **xarray** community for their\n`advice \u003chttps://groups.google.com/forum/#!searchin/xarray/xskillscore%7Csort:date/xarray/z8ue0G-BLc8/Cau-dY_ACAAJ\u003e`_\nin getting this package started.\n","funding_links":[],"categories":["Uncategorized","Climate 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