Hydrometeorological hazards – including droughts, floods, and their compound manifestations – are intensifying in a warming climate, posing unprecedented challenges for disaster risk management, adaptation, and resilience. Persistent heavy rainfall, flash droughts, and rapid drought-to-flood transitions are causing significant societal and economic damages, while human activities such as land-use change, flood control and drought relief add further complexity to their mechanisms and predictability.
This session invites contributions on cutting-edge advances in cooperative observation systems, high-resolution Earth System modeling, and Artificial Intelligence (AI) integration for improving sub-seasonal to seasonal prediction and early warning of compound hydrometeorological extreme events at regional to local scales.
By fostering interdisciplinary collaboration across observation, modeling, AI, and applications, this session aims to showcase novel methodologies and operational pathways toward building globally resilient societies against hydrometeorological hazards.