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ESS-Seminar Speaker Series: Laure Zanna, Ph.D., Prof. of Mathematics & Atmosphere/Ocean Sci. at NYU

When:
Wednesday, May 12, 2021 11:30 AM
Where:
Via Zoom
More Info:
ESS-Seminar Speaker Series: Laure Zanna, Ph.D., Prof. of Mathematics & Atmosphe…
Audience:
Faculty/Staff, Students, Alumni/Friends, Members
Sponsor:
Department of Earth System Science

Please join us for this Virtual Spring Seminar Series with our Speaker: Laure Zanna, Ph.D.

Title: Climate Modeling in the Age of Machine Learning

Abstract: Numerical simulations used for weather and climate predictions solve approximations of the governing laws of fluid motions on a grid. Ultimately, uncertainties in climate predictions originate from the poor or lacking representation of processes, such as ocean turbulence and clouds that are not resolved on the grid of global climate models. The representation of these unresolved processes has been a bottleneck in improving climate simulations and projections. The explosion of climate data and the power of machine learning algorithms are suddenly offering new opportunities: can we deepen our understanding of these unresolved processes and simultaneously improve their representation in climate models to reduce climate projections uncertainty? In this talk, I will discuss the current state of climate modeling and its future, focusing on the advantages and challenges of using machine learning for climate projections. I will present some of our recent work in which we leverage tools from machine learning and deep learning to learn representations of unresolved ocean processes and improve climate simulations. Our work suggests that machine learning could open the door to discovering new physics from data and enhance climate predictions.

Bio: Dr.Laure Zanna is a Professor in Mathematics & Atmosphere/Ocean Science at the Courant Institute, New York University. Her research focuses on the dynamics of the climate system and the main emphasis of her work is to study the influence of the ocean on local and global scales. Prior to NYU, she was a faculty member at the University of Oxford until 2019, and obtained her Ph.D. in 2009 in Climate Dynamics from Harvard University. She was the recipient of the 2020 Nicholas P. Fofonoff Award from the American Meteorological Society “For exceptional creativity in the development and application of new concepts in ocean and climate dynamics”. She is the lead principal investigator of the NSF-NOAA Climate Process Team on Ocean Transport and Eddy Energy, and M2LInES – an international effort to improve climate models with scientific machine learning. She currently serves as an editor for the Journal of Climate, a member of the International CLIVAR Ocean Model Development Panel, and on the CESM Advisory Board.

A special thanks to ESS, PI Aditi Sheshadri for bringing this speaker to us on this day. Also, thanks to  Morgan O'Neill and Jamie Jones for co-instructing and running this Virtual Seminar Series This Spring by bringing you experts in the fields as we learn from them.  

For Zoom information: Email:maria.lopez@stanford.edu

2019 Webby Award Nominee

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