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: 4
Languages: Python, Fortran
Categories: Atmosphere, Climate Change
Sub Categories: Atmospheric Composition and Dynamics, Earth and Climate Modeling
Topics: climate-modeling, atmospheric-modeling, atmospheric-science, numerical-integration, sympl, atmospheric-modelling, climate-model
Contributed Projects
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: 29 May 2026 - Ranking: 15.8
CliMT
A Toolkit for building Earth system models in Python.
atmospheric-modelling climate-model python
Climate Change - Earth and Climate Modeling - Last synced: 30 May 2026 - Ranking: 15.2
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: 29 May 2026 - Ranking: 13.4
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: 29 May 2026 - Ranking: -Infinity
