Improving Climate Models with Hybrid AI Approaches

As part of the ACS Distinguished Lecturer Series, Tapio Schneider, Theodore Y. Wu Professor of Enviornmental Science and Engineering, California Institute of Technology, will present "Improving Climate Models with Hybrid AI Approaches."

As part of the ACS Distinguished Lecturer Series, Tapio Schneider, Theodore Y. Wu Professor of Enviornmental Science and Engineering, California Institute of Technology, will present "Improving Climate Models with Hybrid AI Approaches."

Abstract: While climate change is certain, precisely how climate will change is less clear. But breakthroughs in the accuracy of climate projections and in the quantification of their uncertainties are now within reach, thanks to advances in the computational and data sciences and in the availability of Earth observations from space and from the ground. I will survey the design of a new Earth system model (ESM), developed by the Climate Modeling Alliance (CliMA). The talk will cover key new concepts, including how AI techniques can be combined with process-informed models and how they can be used to dramatically accelerate algorithms for learning from data and for quantifying uncertainties.

Visit the event page for more information and to register. 

Contact: jstrom@seas.harvard.edu