Skip to content

ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP

License

Notifications You must be signed in to change notification settings

ESMValGroup/ESMValTool

Folders and files

NameName
Last commit message
Last commit date

Latest commit

author
Elizaveta Malinina
Feb 5, 2025
f55afc1 · Feb 5, 2025
Jan 17, 2025
Nov 29, 2024
Feb 4, 2025
Oct 16, 2024
Feb 5, 2025
Jan 22, 2025
Nov 21, 2024
Jul 21, 2022
Mar 14, 2018
Feb 25, 2022
Jul 3, 2024
Jul 22, 2020
Jun 22, 2018
Nov 22, 2024
Dec 23, 2019
Nov 21, 2024
Nov 21, 2024
Jan 27, 2021
Mar 26, 2021
Jun 8, 2018
Jul 13, 2021
Jan 27, 2021
Oct 17, 2024
Nov 27, 2024
Feb 3, 2025
Nov 14, 2024
Nov 14, 2024
Jan 5, 2023
Nov 21, 2024
Nov 14, 2024

Repository files navigation

Maintenance made-with-python Documentation Status DOI Chat on Matrix CircleCI Test in Full Development Mode Codacy Badge Docker Build Status Anaconda-Server Badge stand with Ukraine

esmvaltoollogo

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 ensemble. For a comprehensive introduction to ESMValTool please visit our documentation page.

Running esmvaltool

Diagnostics from ESMValTool are run using recipe 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 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 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:

Getting started

Please see getting started on our instance of Read the Docs as well as ESMValTool tutorial. 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 in our docs, is to open an issue on GitHub.

Contributing

If you would like to contribute a new diagnostic or feature, please have a look at our contribution guidelines.

About

ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP

Resources

License

Code of conduct

Security policy

Citation

Stars

Watchers

Forks