Driven by complex anomalous large-scale circulation patterns and land-atmosphere feedbacks, hydrometeorological extremes—most notably storms, heatwaves, floods, droughts, and abrupt hydrometeorological shifts—are exhibiting highly nonlinear and cascading behaviors. While operational early warning remains indispensable, building durable societal resilience demands more than empirical impact assessment. We especially welcome contributions that harness cutting-edge, multi-sphere integrated observations (e.g., next-generation satellite constellations, dense in situ networks), kilometer-scale Earth system modeling (including convection-permitting and large-eddy simulations), and physics-aware artificial intelligence—ranging from differentiable modeling to hybrid AI/process-based frameworks. We are particularly interested in research addressing the mechanisms of compound heat-drought events, the dynamics of rapid drought-to-flood transitions, and the physical responses within coupled human-natural systems. By bridging process-level insights with advanced modeling and observation, this session seeks to translate deep physical understanding into high-resolution, dynamic risk information. The overarching goal is to provide a rigorous, science-anchored foundation for next-generation climate adaptation and resilience planning.

• A - Atmospheric Sciences
• GC - Global Environmental Change
• NH - Natural Hazards