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[ ![ CI/CD] ( https://github.com/btschwertfeger/python-cmethods/actions/workflows/cicd.yaml/badge.svg?branch=master )] ( https://github.com/btschwertfeger/python-cmethods/actions/workflows/cicd.yaml )
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[ ![ codecov] ( https://codecov.io/github/btschwertfeger/python-cmethods/branch/master/graph/badge.svg?token=OSO4PAABPD )] ( https://codecov.io/github/btschwertfeger/python-cmethods )
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+ [ ![ OpenSSF ScoreCard] ( https://img.shields.io/ossf-scorecard/github.com/btschwertfeger/python-cmethods?label=openssf%20scorecard&style=flat )] ( https://securityscorecards.dev/viewer/?uri=github.com/btschwertfeger/python-cmethods )
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[ ![ OpenSSF Best Practices] ( https://www.bestpractices.dev/projects/8666/badge )] ( https://www.bestpractices.dev/projects/8666 )
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![ release] ( https://shields.io/github/release-date/btschwertfeger/python-cmethods )
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</div >
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- This Python module serves as collection of different scale- and
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- distribution-based bias correction techniques for climate sciences.
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+ Welcome to python-cmethods, a powerful Python package designed for bias
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+ correction and adjustment of climate data. Built with a focus on ease of use and
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+ efficiency, python-cmethods offers a comprehensive suite of functions tailored
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+ for applying bias correction methods to climate model simulations and
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+ observational datasets.
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Please cite this project as described in
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https://zenodo.org/doi/10.5281/zenodo.7652755 .
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- > ⚠️ For the application of bias corrections on _ large data sets_ it is
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- > recommended to also try the command-line tool
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- > [ BiasAdjustCXX] ( https://github.com/btschwertfeger/BiasAdjustCXX ) .
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-
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- ---
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-
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## Table of Contents
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1 . [ About ] ( #about )
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6 . [ Contribution ] ( #contribution )
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7 . [ References ] ( #references )
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- ---
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-
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<a name =" about " ></a >
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## 1. About
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- Welcome to ` python-cmethods ` \_ , a powerful Python package designed for bias
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- correction and adjustment of climate data. Built with a focus on ease of use and
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- efficiency, python-cmethods offers a comprehensive suite of functions tailored
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- for applying bias correction methods to climate model simulations and
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- observational datasets.
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-
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Bias correction in climate research involves the adjustment of systematic errors
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or biases present in climate model simulations or observational datasets to
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improve their accuracy and reliability, ensuring that the data better represents
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python3 -m pip install python-cmethods
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```
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- ---
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-
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<a name =" examples " ></a >
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## 4. Usage and Examples
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- This script is far away from perfect - so please see it, as a starting point.
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(:
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- ---
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-
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<a name =" notes " ></a >
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## 5. Notes
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is available in
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[ BiasAdjustCXX] ( https://github.com/btschwertfeger/BiasAdjustCXX ) .
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- ---
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<a name =" contribution " ></a >
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## 6. 🆕 Contributions
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https://github.com/btschwertfeger/python-cmethods/issues/47 . I appreciate all
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the valuable suggestions provided throughout the implementation of the
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subsequent changes.
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- ---
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