esmvaltool

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

https://github.com/esmvalgroup/esmvaltool

Science Score: 77.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
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DOI references
Found 3 DOI reference(s) in README
✓
Academic publication links
Links to: zenodo.org
✓
Committers with academic emails
28 of 142 committers (19.7%) from academic institutions
○
Institutional organization owner
○
JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (13.1%) to scientific vocabulary

Keywords from Contributors

earth-science meteorology hydrology grib iris oceanography spaceweather visualisation meshes annotation

Last synced: 6 months ago · JSON representation ·

Repository

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

Basic Info

Host: GitHub
Owner: ESMValGroup
License: apache-2.0
Language: NCL
Default Branch: main
Homepage: https://www.esmvaltool.org
Size: 238 MB

Statistics

Stars: 251
Watchers: 28
Forks: 139
Open Issues: 370
Releases: 23

Created about 9 years ago · Last pushed 6 months ago

Metadata Files

Readme Contributing License Code of conduct Citation Codeowners Security Zenodo Notice

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:

CMIP6
CMIP5
CMIP3
observational and re-analysis datasets
obs4MIPs
ana4mips
CORDEX (work in progress)

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.

Owner

Name: ESMValGroup
Login: ESMValGroup
Kind: organization

Website: https://www.esmvaltool.org
Twitter: ESMValTool
Repositories: 8
Profile: https://github.com/ESMValGroup

Earth System Model eValuation Tool

Citation (CITATION.cff)

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

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date-released: 2025-03-05
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: "v2.12.0"
...

Committers

Last synced: 7 months ago

All Time

Total Commits: 9,288
Total Committers: 142
Avg Commits per committer: 65.408
Development Distribution Score (DDS): 0.861

Past Year

Commits: 194
Committers: 24
Avg Commits per committer: 8.083
Development Distribution Score (DDS): 0.799

Top Committers

Name	Email	Commits
Bouwe Andela	b**a@e**l	1,295
Valeriu Predoi	v**i@g**m	1,100
Mattia Righi	m**i@d**e	1,026
Manuel Schlund	m**d@d**e	666
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	295
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	151
Tomas Lovato	t**o@c**t	140
Nikolay Koldunov	k**n@g**m	138
Ben	b**r@i**e	134
Peter Kalverla	p**a@g**m	132
Birgit Hassler	3****6	131
Enrico Arnone	e**e@i**t	126
github-actions[bot]	4****]	118
Klaus Zimmermann	k**n@s**e	102
bettina-gier	B**r@d**e	95
“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 112 more...

Committer Domains (Top 20 + Academic)

dlr.de: 11 esciencecenter.nl: 9 bsc.es: 3 mistralpp2.hpc.dkrz.de: 3 mistralpp5.hpc.dkrz.de: 3 mlogin101.hpc.dkrz.de: 3 smhi.se: 2 iup.physik.uni-bremen.de: 2 mistralpp3.hpc.dkrz.de: 2 mistralpp1.hpc.dkrz.de: 2 mlogin105.hpc.dkrz.de: 2 mistralpp4.hpc.dkrz.de: 2 mlogin100.hpc.dkrz.de: 2 metoffice.gov.uk: 2 mlogin104.hpc.dkrz.de: 2 mlogin108.hpc.dkrz.de: 2 int2.bullx: 1 bscearth372.int.bsc.es: 1 uni-hamburg.de: 1 apple135.cen.uni-hamburg.de: 1 mpimet.mpg.de: 1 iup.physik.uni-bremen.de”: 1 wegc203123.uni-graz.at: 1 iggf.geo.uni-muenchen.de: 1 pml.ac.uk: 1 wegc203129.uni-graz.at: 1 jasmin-sci5.ceda.ac.uk: 1 anu.edu.au: 1 uni-bremen.de: 1 jasmin-sci4.ceda.ac.uk: 1 astro.uio.no: 1 uni-graz.at: 1 bgc-jena.mpg.de: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 1,567
Total pull requests: 2,552
Average time to close issues: 4 months
Average time to close pull requests: about 1 month
Total issue authors: 165
Total pull request authors: 113
Average comments per issue: 4.82
Average comments per pull request: 4.81
Merged pull requests: 2,053
Bot issues: 2
Bot pull requests: 214

Past Year

Issues: 134
Pull requests: 465
Average time to close issues: 24 days
Average time to close pull requests: 14 days
Issue authors: 33
Pull request authors: 31
Average comments per issue: 1.2
Average comments per pull request: 2.47
Merged pull requests: 288
Bot issues: 0
Bot pull requests: 105

View more stats

Top Authors

Issue Authors

valeriupredoi (208)
bouweandela (194)
mattiarighi (94)
schlunma (88)
ehogan (67)
ledm (61)
remi-kazeroni (53)
jvegreg (41)
rswamina (37)
zklaus (31)
sloosvel (30)
nielsdrost (30)
axel-lauer (26)
alistairsellar (26)
bascrezee (23)

Pull Request Authors

valeriupredoi (385)
bouweandela (367)
schlunma (221)
github-actions[bot] (210)
mattiarighi (119)
jvegreg (98)
axel-lauer (97)
ehogan (73)
zklaus (61)
remi-kazeroni (54)
LisaBock (50)
bjoernbroetz (45)
sloosvel (41)
rbeucher (39)
alistairsellar (34)

Top Labels

Issue Labels

enhancement (305) bug (223) diagnostic (220) documentation (142) installation (123) observations (98) Recipe Test Workflow (RTW) (72) testing (66) standards (59) community (56) question (54) release (44) help wanted (43) metric (41) Data (23) iris (21) PRIMAVERA (15) deployment (15) REF (14) EUCP (12) AutoAssess (11) eWaterCycle (10) ESMValBot (10) era5 (9) IPCC (8) is-enes (8) deprecated feature (6) backwards incompatible change (6) requires new ESMValCore release (5) EMAC (3)

Pull Request Labels

testing (389) diagnostic (360) documentation (353) observations (217) automatedPR (212) enhancement (212) installation (176) condalock (171) bug (170) approved by technical reviewer (129) release (114) approved by scientific reviewer (107) Recipe Test Workflow (RTW) (97) ESMValBot (47) REF (47) standards (34) requires new ESMValCore release (31) deprecated feature (29) deployment (26) Data (26) in technical review (24) looking for technical reviewer (23) new recipe (21) backwards incompatible change (18) eWaterCycle (18) in scientific review (17) EUCP (15) IPCC (14) looking for scientific reviewer (14) iris (13)

Packages

Total packages: 1
Total downloads:
- pypi 268 last-month

Total dependent packages: 1
Total dependent repositories: 1
Total versions: 14
Total maintainers: 5

pypi.org: esmvaltool

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

Homepage: https://www.esmvaltool.org
Documentation: https://esmvaltool.readthedocs.io/
License: Apache License, Version 2.0
Latest release: 2.12.0
published 12 months ago

Versions: 14
Dependent Packages: 1
Dependent Repositories: 1
Downloads: 268 Last month

Rankings

Dependent packages count: 4.8%

Average: 14.2%

Downloads: 16.3%

Dependent repos count: 21.6%

Maintainers (5)

nlesc ehogan jvegas bandela valeriupredoi

Last synced: 6 months ago

Dependencies

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actions/checkout v3 composite
actions/setup-python v1 composite
pypa/gh-action-pypi-publish v1.5.0 composite

.github/workflows/run-tests-monitor.yml actions

actions/checkout v3 composite
actions/upload-artifact v2 composite
conda-incubator/setup-miniconda v2 composite

.github/workflows/test-development.yml actions

actions/checkout v3 composite
actions/upload-artifact v2 composite
conda-incubator/setup-miniconda v2 composite

.github/workflows/test.yml actions

actions/checkout v3 composite
actions/upload-artifact v2 composite
conda-incubator/setup-miniconda v2 composite

esmvaltool/diag_scripts/extreme_events/climdex.pcic.ncdf/DESCRIPTION cran

PCICt >= 0.5 depends
R >= 3.0 depends
climdex.pcic >= 1.1 imports
functional >= 0.4 imports
ncdf4 >= 1.10 imports
ncdf4.helpers >= 0.3 imports
proj4 >= 1.0 imports
snow >= 0.3 imports
udunits2 >= 0.6 imports
RUnit * suggests

docker/Dockerfile docker

condaforge/mambaforge latest build

environment.yml pypi

pyproject.toml pypi

setup.py pypi

esmvaltool

Science Score: 77.0%

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