Physical Sciences Public Lecture Series: Factoring Clouds Into Climate Models
Professor Mike Pritchard's research focuses on advancing the understanding of how the planetary water cycle works, and how it may change in the future, focusing especially on cloud physics and moist convection processes. His tools are a blend of next-generation global atmospheric simulation algorithms, theoretical climate dynamics, and high-performance computing. Projects are guided by the problems of interest, and are intentionally explorative of new potentially breakthrough physical algorithms that attempt to avoid traditional approximations of cloud physics in global climate simulations. Lately this meant significant exploration of emerging tools in the data sciences such as deep machine learning for physical process emulation and neural-network assisted dynamical inquiry.