Collaborative Strategies for Predicting and Measuring Uncertainty associated with Weather and Climate Extremes

It is undisputed that the Earth is experiencing a period of changing climate; as a consequence, large-scale extreme events (e.g., heat waves, floods, storm surges, hurricanes, or wildfires) are anticipated to become more frequent, severe, and interdependent. An important step towards global resilience to these extreme phenomena is to develop models that can accurately predict the frequency and severity of such widespread extremes. This requires a combined research effort between various scientific fields, namely, extreme-value theory, spatial statistics, scientific machine learning and statistical computing, and civil and environmental engineering. The Weather and Climate Extremes (WACE) workshop series has been bringing together leading researchers from the fields of Statistics, Atmospheric Sciences, and Hydrology/Hydroclimatology since 2016 for advancing research on Climate Extremes, with the latest iteration hosted by Clemson University in May 2023, and the next iteration slated to be at University of Missouri in June 2025. On a similar note, Colorado School of Mines hosted the Extremes2024 workshop in November 2024, bringing together academic and industry researchers to develop new collaborations, delineate mathematical and statistical challenges, and advance the state-of-the-science in the modeling and inference for high-dimensional spatiotemporal, compound extreme events. Both workshops have a strong focus on interdisciplinary research, and their programming is a mix of short courses, panels, talks and poster sessions, providing opportunities for participants at various career stages to get involved. This session will showcase some of the research presented at Extremes2024 and WACE 2025, by researchers who have been/will be participating in the workshops.