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

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for bandela from gravatar.com bandela Avatar for ehogan from gravatar.com ehogan Avatar for jvegas from gravatar.com jvegas Avatar for nlesc from gravatar.com nlesc Avatar for valeriupredoi from gravatar.com valeriupredoi

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache License, Version 2.0)
  • Author: Bouwe Andela, Bjoern Broetz, Lee de Mora, Niels Drost, Veronika Eyring, Nikolay Koldunov, Axel Lauer, Benjamin Mueller, Valeriu Predoi, Mattia Righi, Manuel Schlund, Javier Vegas-Regidor, Klaus Zimmermann, Kemisola Adeniyi, Enrico Arnone, Omar Bellprat, Peter Berg, Lisa Bock, Louis-Philippe Caron, Nuno Carvalhais, Irene Cionni, Nicola Cortesi, Susanna Corti, Bas Crezee, Edouard Leopold Davin, Paolo Davini, Clara Deser, Faruk Diblen, David Docquier, Laura Dreyer, Carsten Ehbrecht, Paul Earnshaw, Bettina Gier, Nube Gonzalez-Reviriego, Paul Goodman, Stefan Hagemann, Jost von Hardenberg, Birgit Hassler, Alasdair Hunter, Christopher Kadow, Stephan Kindermann, Sujan Koirala, Llorenç Lledó, Quentin Lejeune, Valerio Lembo, Bill Little, Saskia Loosveldt-Tomas, Ruth Lorenz, Tomas Lovato, Valerio Lucarini, François Massonnet, Christian Wilhelm Mohr, Pandde Amarjiit, Núria Pérez-Zanón, Adam Phillips, Joellen Russell, Marit Sandstad, Alistair Sellar, Daniel Senftleben, Federico Serva, Jana Sillmann, Tobias Stacke, Ranjini Swaminathan, Verónica Torralba, Katja Weigel
Classifiers

Project description

ESMValTool

Documentation Status DOI Gitter CircleCI Codacy Badge Codacy Badge Docker Build Status Anaconda-Server Badge

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

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 on readthedocs.

Getting help

The easiest way to get help if you cannot find the answer in the documentation on readthedocs, 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.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for bandela from gravatar.com bandela Avatar for ehogan from gravatar.com ehogan Avatar for jvegas from gravatar.com jvegas Avatar for nlesc from gravatar.com nlesc Avatar for valeriupredoi from gravatar.com valeriupredoi

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache License, Version 2.0)
  • Author: Bouwe Andela, Bjoern Broetz, Lee de Mora, Niels Drost, Veronika Eyring, Nikolay Koldunov, Axel Lauer, Benjamin Mueller, Valeriu Predoi, Mattia Righi, Manuel Schlund, Javier Vegas-Regidor, Klaus Zimmermann, Kemisola Adeniyi, Enrico Arnone, Omar Bellprat, Peter Berg, Lisa Bock, Louis-Philippe Caron, Nuno Carvalhais, Irene Cionni, Nicola Cortesi, Susanna Corti, Bas Crezee, Edouard Leopold Davin, Paolo Davini, Clara Deser, Faruk Diblen, David Docquier, Laura Dreyer, Carsten Ehbrecht, Paul Earnshaw, Bettina Gier, Nube Gonzalez-Reviriego, Paul Goodman, Stefan Hagemann, Jost von Hardenberg, Birgit Hassler, Alasdair Hunter, Christopher Kadow, Stephan Kindermann, Sujan Koirala, Llorenç Lledó, Quentin Lejeune, Valerio Lembo, Bill Little, Saskia Loosveldt-Tomas, Ruth Lorenz, Tomas Lovato, Valerio Lucarini, François Massonnet, Christian Wilhelm Mohr, Pandde Amarjiit, Núria Pérez-Zanón, Adam Phillips, Joellen Russell, Marit Sandstad, Alistair Sellar, Daniel Senftleben, Federico Serva, Jana Sillmann, Tobias Stacke, Ranjini Swaminathan, Verónica Torralba, Katja Weigel
Classifiers

Release history Release notifications | RSS feed

2.11.0

2.10.0

2.9.0

2.8.0

2.7.0

2.6.0

2.5.0

2.4.0

2.3.0

2.2.0

2.1.1

This version

2.1.0

2.0.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ESMValTool-2.1.0.tar.gz (1.6 MB view details)

Uploaded Source

Built Distribution

ESMValTool-2.1.0-py3-none-any.whl (2.1 MB view details)

Uploaded Python 3

File details

Details for the file ESMValTool-2.1.0.tar.gz.

File metadata

  • Download URL: ESMValTool-2.1.0.tar.gz
  • Upload date:
  • Size: 1.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.0 requests/2.24.0 setuptools/49.2.0.post20200712 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5

File hashes

Hashes for ESMValTool-2.1.0.tar.gz
Algorithm Hash digest
SHA256 7d03215bca0eaa38e7dd773a78fb84dc96ebc07b5ec775dc8b8acd720937ff1e
MD5 b7598d732c4566c7becfa6ca86de649e
BLAKE2b-256 884358301cf311ef9b7964105974e88bdacd2b2d822f2b674692a4245c872100

See more details on using hashes here.

Provenance

File details

Details for the file ESMValTool-2.1.0-py3-none-any.whl.

File metadata

  • Download URL: ESMValTool-2.1.0-py3-none-any.whl
  • Upload date:
  • Size: 2.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.0 requests/2.24.0 setuptools/49.2.0.post20200712 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5

File hashes

Hashes for ESMValTool-2.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 16a3d40b91f551b9939be4f972762e671d62399412dd9f25528e579d1e25265f
MD5 539d1cc1939101fb230d563d884336b9
BLAKE2b-256 b1aa86d3e71bb08b9932c9410ce4f18d1952c166bd835390ec0ac78951af36ff

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page