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README.md

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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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## 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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<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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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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<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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<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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doc/introduction.rst

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===============
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|GitHub badge| |License badge| |PyVersions badge| |Downloads badge|
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|CI/CD badge| |codecov badge|
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|CI/CD badge| |codecov badge| |OSSF Scorecard| |OSSF Best Practices|
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|Release date badge| |Release version badge| |DOI badge| |Docs stable|
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About

doc/links.rst

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.. _xclim: https://zenodo.org/record/7535677
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.. _xarray: https://xarray.dev/
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.. _dask: https://docs.dask.org/en/stable/
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.. |Docs stable| image:: https://readthedocs.org/projects/python-cmethods/badge/?version=stable
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:target: https://python-cmethods.readthedocs.io/en/stable
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:alt: Documentation Status stable
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.. |OSSF Scorecard| image:: https://img.shields.io/ossf-scorecard/github.com/btschwertfeger/python-cmethods?label=openssf%20scorecard&style=flat
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:target: https://securityscorecards.dev/viewer/?uri=github.com/btschwertfeger/python-cmethods
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:alt: OSSF Scorecard
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.. |OSSF Best Practices| image:: https://www.bestpractices.dev/projects/8666/badge
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:target: https://www.bestpractices.dev/projects/8666
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:alt: OSSF Best Practices

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