Multiscale Climate Modeling in the Era of AI

Laure Zanna
Courant Institute of Mathematical Sciences
Mathematics

The oceans are a crucial component of the climate system.
They store and redistribute most of the excess heat from anthropogenic emissions. Climate simulations have been essential for understanding and predicting this ocean warming. However, uncertainty remains regarding the causes and pace of future ocean warming due to inadequate representations of unresolved processes, such as clouds and ocean turbulence, in global climate models.

I will discuss the potential for AI tools to accelerate the discovery of physics principles and governing equations for multiscale climate processes such as ocean turbulence and how these discoveries can help improve the simulations of ocean heat transport and climate models.


Back to International Conference on Multiscale Modeling and Simulation based on Physics and Data