Accelerating Discovery in Climate Physics with Machine Learning
- Speaker
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Laure Zanna, Ph.D.Professor of Mathematics & Atmosphere/Ocean Science, New York University
Presidential Lectures are free public colloquia centered on four main themes: Biology, Physics, Mathematics and Computer Science, and Neuroscience and Autism Science. These curated, high-level scientific talks feature leading scientists and mathematicians and are intended to foster discourse and drive discovery among the broader NYC-area research community. We invite those interested in the topic to join us for this weekly lecture series.
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.
In this Presidential Lecture, Laure Zanna will discuss the potential for machine learning 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.