Potential Future(s) of Climate Modeling: Lessons from the Drivers of the AI Revolution
Thursday, February 27, 2025 3pm to 4pm
About this Event
29 Oxford Street, Cambridge, MA 02138
Pierre Gentine (Maurice Ewing and J. Lamar Worzel professor of geophysics at Columbia University)
AI has been revolutionizing many areas of science from protein unfolding to tumor detection. Over the last five years, fluid dynamics and weather forecasting have witnessed such a revolution and AI-based models are starting to outperform physics-based simulations. Even though several groups have made important steps towards the applications of AI for long-term climate projections, a revolution is not yet within reach but is crucial so that our societies can adapt to climate change. I will present some of the roadblocks in climate modeling and the opportunities that could be imported from the AI revolution. With these developments that require innovations on the algorithmic side, an AI revolution for climate modeling might be within reach.
Pierre Gentine is the Maurice Ewing and J. Lamar Worzel professor of geophysics in the departments of Earth and Environmental Engineering and Earth and Environmental Sciences at Columbia University. He studies the terrestrial water and carbon cycles and their changes with climate change. Pierre Gentine is the recipient of the National Science Foundation (NSF), NASA and Department of energy (DOE) early career awards, as well as the American Geophysical Union Global Environmental Changes Early Career, Macelwane medal and American Meteorological Society Meisinger award. He is the director of the new NSF Science and Technology Center (STC) for Learning the Earth with Artificial intelligence and Physics (LEAP), the largest funding mechanism of the NSF.
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