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ESMValTool

A community diagnostic and performance metrics tool for routine evaluation of Earth system models in World Climate Research Programme.
https://github.com/ESMValGroup/ESMValTool

Category: Climate Change
Sub Category: Earth and Climate Modeling

Keywords from Contributors

hydrology earth-science oceanography climate-models visualisation grib iris meteorology spaceweather spatial-data-analysis

Last synced: about 5 hours ago
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Repository metadata

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

README.md

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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) 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.

Citation (CITATION.cff)

# YAML 1.2
---
abstract: "ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP."

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cff-version: 1.2.0
date-released: 2026-07-28
doi: "10.5281/zenodo.3401363"
license: "Apache-2.0"
message: "If you use this software, please cite it using these metadata."
repository-code: "https://github.com/ESMValGroup/ESMValTool/"
title: ESMValTool
version: "v2.15.0"
...

Owner metadata

GitHub Events

Total
Last Year

Committers metadata

Last synced: 5 days ago

Total Commits: 9,559
Total Committers: 148
Avg Commits per committer: 64.588
Development Distribution Score (DDS): 0.86

Commits in past year: 262
Committers in past year: 25
Avg Commits per committer in past year: 10.48
Development Distribution Score (DDS) in past year: 0.824

Name Email Commits
Bouwe Andela b****a@e****l 1343
Valeriu Predoi v****i@g****m 1122
Mattia Righi m****i@d****e 1026
Manuel Schlund m****d@d****e 698
Javier Vegas-Regidor j****s@b****s 611
Lee de Mora l****m@p****k 356
jhardenberg h****g@g****m 326
Axel Lauer a****r@d****e 308
Bas Crezee b****e@g****m 209
nperezzanon n****z@b****s 173
Björn Brötz b****z@d****e 170
SarahAlidoost f****t@e****l 168
loewalex b****2 157
Lisa Bock l****k@d****e 154
github-actions[bot] 4****] 146
Tomas Lovato t****o@c****t 140
Nikolay Koldunov k****n@g****m 138
Birgit Hassler 3****6 134
Ben b****r@i****e 134
Peter Kalverla p****a@g****m 132
Enrico Arnone e****e@i****t 126
Klaus Zimmermann k****n@s****e 103
bettina-gier B****r@d****e 98
“katjaweigel” “****l@i****” 88
Veronika Eyring v****g@d****e 86
Tobias Stacke t****e@m****e 80
mwjury m****y@g****m 64
RicardaRe r****r@d****e 60
zechlau 3****u 59
peter.berg a****0@c****e 57
and 118 more...

Committer domains:

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 1,632
Total pull requests: 2,726
Average time to close issues: 9 months
Average time to close pull requests: 2 months
Total issue authors: 174
Total pull request authors: 125
Average comments per issue: 4.86
Average comments per pull request: 4.79
Merged pull request: 2,140
Bot issues: 5
Bot pull requests: 270

Past year issues: 71
Past year pull requests: 155
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 14 days
Past year issue authors: 30
Past year pull request authors: 29
Past year average comments per issue: 2.04
Past year average comments per pull request: 2.39
Past year merged pull request: 91
Past year bot issues: 3
Past year bot pull requests: 58

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/ESMValGroup/ESMValTool

Top Issue Authors

  • valeriupredoi (212)
  • bouweandela (200)
  • schlunma (94)
  • mattiarighi (94)
  • ehogan (70)
  • ledm (61)
  • remi-kazeroni (53)
  • jvegreg (41)
  • rswamina (40)
  • zklaus (31)
  • nielsdrost (30)
  • sloosvel (29)
  • axel-lauer (27)
  • alistairsellar (26)
  • bascrezee (23)

Top Pull Request Authors

  • valeriupredoi (395)
  • bouweandela (383)
  • github-actions[bot] (232)
  • schlunma (230)
  • mattiarighi (120)
  • axel-lauer (103)
  • jvegreg (103)
  • ehogan (74)
  • zklaus (63)
  • remi-kazeroni (54)
  • LisaBock (52)
  • bjoernbroetz (49)
  • sloosvel (43)
  • rbeucher (39)
  • alistairsellar (35)

Top Issue Labels

  • enhancement (309)
  • bug (228)
  • diagnostic (226)
  • documentation (153)
  • installation (126)
  • observations (103)
  • Stale (97)
  • Recipe Test Workflow (RTW) (71)
  • testing (69)
  • standards (59)
  • community (56)
  • question (54)
  • help wanted (44)
  • metric (41)
  • release (41)
  • Data (24)
  • iris (21)
  • REF (17)
  • PRIMAVERA (15)
  • deployment (15)
  • EUCP (12)
  • AutoAssess (11)
  • broken recipe (11)
  • ESMValBot (10)
  • eWaterCycle (10)
  • era5 (9)
  • is-enes (8)
  • IPCC (8)
  • deprecated feature (6)
  • backwards incompatible change (6)

Top Pull Request Labels

  • testing (417)
  • diagnostic (382)
  • documentation (362)
  • automatedPR (252)
  • observations (231)
  • enhancement (216)
  • installation (185)
  • condalock (180)
  • bug (175)
  • approved by technical reviewer (140)
  • release (121)
  • approved by scientific reviewer (115)
  • Recipe Test Workflow (RTW) (97)
  • REF (61)
  • ESMValBot (57)
  • Stale (47)
  • standards (34)
  • requires new ESMValCore release (33)
  • github_actions (33)
  • dependencies (32)
  • looking for technical reviewer (30)
  • Data (29)
  • deprecated feature (29)
  • in technical review (28)
  • deployment (26)
  • in scientific review (24)
  • new recipe (23)
  • backwards incompatible change (19)
  • looking for scientific reviewer (19)
  • eWaterCycle (18)

Package metadata

proxy.golang.org: github.com/esmvalgroup/esmvaltool

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/esmvalgroup/esmvaltool#section-documentation
  • Licenses: apache-2.0
  • Latest release: v2.15.0+incompatible (published 29 days ago)
  • Last Synced: 2026-08-25T00:44:16.601Z (1 day ago)
  • Versions: 19
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 4.756%
    • Average: 4.916%
    • Dependent repos count: 5.075%
pypi.org: esmvaltool

A community tool for pre-processing data from Earth system models in CMIP and running analysis scripts

  • Homepage: https://esmvaltool.org
  • Documentation: https://docs.esmvaltool.org
  • Licenses: Apache-2.0
  • Latest release: 2.15.0 (published 29 days ago)
  • Last Synced: 2026-08-25T00:39:05.658Z (1 day ago)
  • Versions: 18
  • Dependent Packages: 1
  • Dependent Repositories: 1
  • Downloads: 451 Last month
  • Rankings:
    • Dependent packages count: 4.781%
    • Average: 14.214%
    • Downloads: 16.303%
    • Dependent repos count: 21.559%
  • Maintainers (5)

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esmvaltool/diag_scripts/extreme_events/climdex.pcic.ncdf/DESCRIPTION cran
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  • R >= 3.0 depends
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  • RUnit * suggests
docker/Dockerfile docker
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pyproject.toml pypi
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Score: 17.332671483974927