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 6 hours ago
JSON representation

Repository metadata

README.md

The WeatherGenerator project develops a machine learning-based Earth system models.
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.


Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: 10 days ago

Total Commits: 91
Total Committers: 10
Avg Commits per committer: 9.1
Development Distribution Score (DDS): 0.462

Commits in past year: 91
Committers in past year: 10
Avg Commits per committer in past year: 9.1
Development Distribution Score (DDS) in past year: 0.462

Name Email Commits
Christian Lessig c****g@e****t 49
Timothy Hunter t****r@e****t 17
kctezcan k****n@g****m 7
Simon Grasse 1****i 7
iluise 7****e 4
Michael Langguth 6****9 2
Kacper Nowak k****k@a****e 2
Tiago Quintino t****o@g****m 1
Savvas Melidonis 7****l 1
Ed Wiebe e****e 1

Committer domains:


Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 186
Total pull requests: 91
Average time to close issues: 14 days
Average time to close pull requests: 5 days
Total issue authors: 13
Total pull request authors: 14
Average comments per issue: 2.72
Average comments per pull request: 1.97
Merged pull request: 61
Bot issues: 0
Bot pull requests: 0

Past year issues: 186
Past year pull requests: 91
Past year average time to close issues: 14 days
Past year average time to close pull requests: 5 days
Past year issue authors: 13
Past year pull request authors: 14
Past year average comments per issue: 2.72
Past year average comments per pull request: 1.97
Past year merged pull request: 61
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 (64)
  • iluise (22)
  • kctezcan (22)
  • mlangguth89 (19)
  • kacpnowak (18)
  • grassesi (11)
  • tjhunter (11)
  • SavvasMel (11)
  • mtar (3)
  • nish03 (2)
  • jpolz (1)
  • simone99n (1)
  • TillHae (1)

Top Pull Request Authors

  • clessig (24)
  • kctezcan (13)
  • iluise (12)
  • grassesi (10)
  • mlangguth89 (7)
  • kacpnowak (7)
  • tjhunter (6)
  • SavvasMel (3)
  • Sindhu-Vasireddy (2)
  • samuraikillers (2)
  • TillHae (2)
  • ecwiebe (1)
  • sophie-xhonneux (1)
  • jpolz (1)

Top Issue Labels

  • enhancement (101)
  • bug (53)
  • initiative (14)
  • good first issue (13)
  • datasets (11)
  • science (7)
  • evaluation (3)
  • quality (2)

Top Pull Request Labels

  • bug (12)
  • enhancement (8)
  • datasets (6)
  • infra (2)
  • quality (1)

Dependencies

pyproject.toml pypi
uv.lock pypi
  • 103 dependencies

Score: 7.251344983372214