Grand événement - AI and math for meteorology and climatology - Michael Brenner : The neural GCM, and other remarks

Grand événement - À la recherche d'un Avenir Commun Durable

L'IA et les mathématiques pour la météorologie et la climatologie

AI and math for meteorology and climatology

Collège de France

Année 2024-2025

5 mai 2025

AI and math for meteorology and climatology - Michael Brenner : The neural GCM, and other remarks

Michael Brenner

Harvard University, Research Scientist, Google Research

Résumé

I will discuss the Neural GCM, which we built by building a dynamical core in JAX and then training the parameterization on ERA5 on 5-day forecasts. The quality of the forecasts up to 1 year portends a potential revolution in improving model parameterizations of physical systems described by nonlinear partial differential equations, of which weather and climate models are only one example. I will discuss some other problems in this spirit we are working on and try to draw conclusions.

Michael Brenner

Michael Brenner is the Michael F. Cronin Professor of Applied Mathematics and Professor of Physics at Harvard University, and a Research Scientist at Google Research. He is broadly interested in finding new ways of applying mathematics to the sciences.