April 9 lecture will explore use of machine learning in weather prediction

UNIVERSITY PARK, Pa. — The Penn State Center for Socially Responsible Artificial Intelligence (CSRAI) will host Romit Maulik, assistant professor in the College of Information Sciences and Technology, as part of its AI for Social Impact series. Maulik’s talk, titled “Weather and Climate Emulation with State-of-the-Art Physics-Informed AI Algorithms,” will discuss the rise of machine learning-based modeling for weather and climate prediction. 

The talk will take place from 3 to 4 p.m. on Wednesday, April 9, in E202 Westgate Building at Penn State University Park and will also be accessible via Zoom. 

According to Maulik, advances in computing power and better data have allowed AI models to match or even outperform traditional weather forecasting methods. His talk will examine a new AI model called Stormer used in medium-range weather forecasts and offer an early evaluation of machine learning-based models currently used for climate research. 

Maulik’s broader research focuses on high-performance multifidelity scientific machine learning algorithm development with applications to various multiphysical nonlinear dynamical systems, such as those that arise in fluid dynamics, weather and climate modeling and nuclear fusion. 

This talk is part of the center’s AI for Social Impact Seminar Series, which connects researchers and thought leaders from a variety of fields to explore the diverse applications of AI for a societal benefit. CSRAI promotes high-impact, transformative AI research and development, while encouraging the consideration of social and ethical implications in all such efforts. The center supports a broad range of activities from foundational research to the application of AI to all areas of human endeavor.