Revision 6de5089c0a6b67ec5f881cde22b4f0e8e3d81e00 authored by sloosvel on 06 May 2022, 13:59:18 UTC, committed by GitHub on 06 May 2022, 13:59:18 UTC
* Compute bias * Remove unused import * Change plot lim range * Remove Mediterranean region, pending to update script path * Compute absolute bias and change scale * Fix typo * Compute std_dev * Fix style issues * Fix codacy * Fix 365_day datasets * Clean * Fix identation * Fix flake * Fix docstrings * Update docs * Update docu with suggestions
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README.md
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- [**Documentation**](https://docs.esmvaltool.org/en/latest/)
- [**ESMValTool Website**](https://www.esmvaltool.org/)
- [**ESMValTool Tutorial**](https://esmvalgroup.github.io/ESMValTool_Tutorial/index.html)
- [**ESMValGroup Project on GitHub**](https://github.com/ESMValGroup)
- [**Gallery**](https://docs.esmvaltool.org/en/latest/gallery.html)
# Introduction
ESMValTool is a community-developed climate model diagnostics and evaluation software package, driven
both by computational performance and scientific accuracy and reproducibility. ESMValTool is open to both
users and developers, encouraging open exchange of diagnostic source code and evaluation results from the
Coupled Model Intercomparison Project [CMIP](https://www.wcrp-climate.org/wgcm-cmip) ensemble. For a
comprehensive introduction to ESMValTool please visit our
[documentation](https://docs.esmvaltool.org/en/latest/introduction.html) page.
# Running esmvaltool
Diagnostics from ESMValTool are run using [recipe](https://docs.esmvaltool.org/en/latest/recipes/index.html)
files that contain pointers to the requested data types, directives for the preprocessing steps that data
will be subject to, and directives for the actual diagnostics that will be run with the now preprocessed data.
Data preprocessing is done via the [ESMValCore](https://docs.esmvaltool.org/projects/ESMValCore/en/latest/quickstart/index.html) package, a pure Python, highly-optimized scientific library, developed by the ESMValTool core developers,
and that performs a number of common analysis tasks
such as regridding, masking, levels extraction etc. [Diagnostics](https://docs.esmvaltool.org/en/latest/develop/diagnostic.html) are written in a variety of programming languages (Python, NCL, R, Julia) and are developed by the wider
scientific community, and included after a scientific and technical review process.
# Input data
ESMValTool can run with the following types of data as input:
- CMIP5
- CMIP6
- OBS, OBS6
- obs4MIPs
- ana4mips
- CORDEX
# Getting started
Please see [getting started](https://docs.esmvaltool.org/en/latest/quickstart/index.html) on readthedocs as well as [ESMValTool tutorial](https://esmvalgroup.github.io/ESMValTool_Tutorial/index.html). The tutorial is a set of lessons that together teach skills needed to work with ESMValTool in climate-related domains.
## Getting help
The easiest way to get help if you cannot find the answer in the documentation on [readthedocs](https://docs.esmvaltool.org), is to open an [issue on GitHub](https://github.com/ESMValGroup/ESMValTool/issues).
## Contributing
If you would like to contribute a new diagnostic or feature, please have a look at our [contribution guidelines](https://docs.esmvaltool.org/en/latest/community/index.html).
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