This National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) Project Grant award in the amount of $322,555 provides funding to The Washington University in St. Louis to develop statistical and machine learning methods for studying the dynamics of weather and climate extremes. The three-year project will focus on three key areas: climate model validation, changepoint estimation for extremes, and integration of multi-model climate ensembles. This research aims to improve the understanding of the spatial and temporal characteristics of climate and weather extremes, which have significant impacts on human society and the environment globally. The award supports one graduate student per year to contribute to this research.
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