CLIMATE EXTREMES THEORY AND DATA GROUP

Our group is moving to the University of Chicago. We have a number of PhD/postdoc positions for Spring/Fall 2025 to work at the intersection of extreme weather, scientific machine learning, climate change, and computational physics. See Available Positions for more details... We study extreme weather, climate change, geophysical turbulence, and scientific machine learning (ML) through the lens of multi-scale nonlinear dynamics. We aim to integrate tools and concepts from fluid and climate dynamics, applied and computational math, and ML to gain a deeper theoretical understanding of these phenomena and develop better computational tools to predict them. Examples of problems of interest are blocking events, heat waves and hurricanes, subgrid-scale modeling of geophysical turbulence and other processes, and explainable physics-informed ML. Our research has been supported by NSF, ONR, NASA, Schmidt Sciences, National Academy of Sciences, C3.ai Digital Transformation Institute, Accenture,..

Also known as: Climate Extremes Theory and Data (CeTD) Group