Contributors: Jeremy McGibbon
Name: Jeremy McGibbon
Login: mcgibbon
Email: mcgibbon@uw.edu
Description: Researcher in machine learning and developer of Python atmospheric weather/climate models.
Location: Seattle, WA
Twitter: jeremy_mcgibbon
Repositories count: 3
Last synced at: 2023-03-01T22:25:15.107Z
OST Projects: 3
Languages: Python
Categories: Atmosphere
Sub Categories: Atmospheric Composition and Dynamics
Topics: climate-modeling, atmospheric-modeling, atmospheric-science, numerical-integration, sympl
Contributed Projects
Pace
A implementation of the FV3GFS / SHiELD atmospheric model developed by NOAA/GFDL using the GT4Py domain-specific language in Python.
Atmosphere - Atmospheric Composition and Dynamics - Last synced: 03 May 2025 - Ranking: 12.4
ACE
A 200M-parameter, autoregressive machine learning emulator of an existing comprehensive 100-km resolution global atmospheric model.
Atmosphere - Atmospheric Composition and Dynamics - Last synced: 04 May 2025 - Ranking: 12.1
Pace
An implementation of the FV3GFS / SHiELD atmospheric model developed by NOAA/GFDL using the NDSL middleware in Python, itself based on GT4Py and DaCe.
Atmosphere - Atmospheric Composition and Dynamics - Last synced: 04 May 2025 - Ranking: 7.2
