WeatherGenerator

A machine learning-based Earth system models that is trained on a wide range of datasets, including reanalyses, forecast data and observations, to provide a robust and versatile model for the dynamics.
https://github.com/ecmwf/weathergenerator

Category: Atmosphere
Sub Category: Meteorological Observation and Forecast

Last synced: about 13 hours ago
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The repository of the WeatherGenerator project

README.md

The WeatherGenerator project is developing a machine learning-based Earth system model.
It will be trained on a wide range of datasets, including reanalyses, forecast data and observations, to provide a robust and versatile model for the dynamics.
Through this, it can be used for a wide-range of applications.

More details coming soon. Please open an issue if you are interested in using the model.


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GitHub Events

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Last Year

Committers metadata

Last synced: 1 day ago

Total Commits: 124
Total Committers: 15
Avg Commits per committer: 8.267
Development Distribution Score (DDS): 0.516

Commits in past year: 124
Committers in past year: 15
Avg Commits per committer in past year: 8.267
Development Distribution Score (DDS) in past year: 0.516

Name Email Commits
Christian Lessig c****g@e****t 60
Timothy Hunter t****r@e****t 20
Simon Grasse 1****i 9
kctezcan k****n@g****m 8
iluise 7****e 8
Savvas Melidonis 7****l 4
Michael Langguth 6****9 4
Kacper Nowak k****k@a****e 4
ankitpatnala a****a@g****m 1
Tiago Quintino t****o@g****m 1
Sophie X 2****x 1
Sindhu-Vasireddy 9****y 1
Julius Polz 5****z 1
Julian Kuehnert J****u 1
Ed Wiebe e****e 1

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Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 280
Total pull requests: 131
Average time to close issues: 20 days
Average time to close pull requests: 5 days
Total issue authors: 19
Total pull request authors: 19
Average comments per issue: 2.52
Average comments per pull request: 1.79
Merged pull request: 82
Bot issues: 0
Bot pull requests: 0

Past year issues: 280
Past year pull requests: 131
Past year average time to close issues: 20 days
Past year average time to close pull requests: 5 days
Past year issue authors: 19
Past year pull request authors: 19
Past year average comments per issue: 2.52
Past year average comments per pull request: 1.79
Past year merged pull request: 82
Past year bot issues: 0
Past year bot pull requests: 0

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

Top Issue Authors

  • clessig (103)
  • tjhunter (26)
  • iluise (26)
  • kctezcan (25)
  • mlangguth89 (24)
  • kacpnowak (23)
  • grassesi (16)
  • SavvasMel (14)
  • Jubeku (4)
  • ankitpatnala (4)
  • mtar (3)
  • shmh40 (3)
  • sbAsma (2)
  • nish03 (2)
  • sophie-xhonneux (1)

Top Pull Request Authors

  • clessig (30)
  • iluise (17)
  • grassesi (15)
  • kctezcan (13)
  • tjhunter (11)
  • kacpnowak (10)
  • mlangguth89 (7)
  • SavvasMel (6)
  • TillHae (4)
  • shmh40 (3)
  • Sindhu-Vasireddy (3)
  • Jubeku (2)
  • samuraikillers (2)
  • ankitpatnala (2)
  • wael-mika (2)

Top Issue Labels

  • enhancement (150)
  • bug (80)
  • infra (52)
  • datasets (42)
  • model (28)
  • evaluation (23)
  • initiative (21)
  • good first issue (15)
  • science (11)
  • quality (2)

Top Pull Request Labels

  • bug (13)
  • datasets (11)
  • enhancement (10)
  • infra (2)
  • quality (1)

Dependencies

pyproject.toml pypi
uv.lock pypi
  • 103 dependencies

Score: 7.849713757604871