Woh Hup Distinguished Lecture
Potential Future(s) of Climate Modeling: Lessons from the Drivers of the AI Revolution
Hosted by
Professor Simone Fatichi
Department of Civil & Environmental Engineering, NUS
Date/Time:
25 July 2025 | 10:45AM-11:45AM
Venue:
National University of Singapore
LT1
Block E2, Level 1,
5 Engineering Drive 2, Singapore 117579
Notes:
- Refreshments will be served after the seminar.
- Please feel free to reach out at cfisg@nus.edu.sg for any queries.
Abstract
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.
About Speaker
Prof. Pierre Gentine
Department of Earth and Environmental Engineering
Columbia University, New York, USA
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.
