Rapid transitions between droughts and floods are an emerging frontier in compound hydrometeorological extremes under climate change. These dry-wet whiplash events can trigger cascading impacts on agriculture, ecosystems, water resources, energy, and critical infrastructure that exceed those of isolated drought or flood events. Warming-induced changes in precipitation variability, atmospheric circulation, moisture transport, land–atmosphere feedbacks, and human water management are reshaping their frequency, intensity, seasonality, and predictability, yet key mechanisms and risk implications remain poorly constrained.
This session invites cutting-edge abstracts on the identification, physical mechanisms, predictability, attribution, risk assessment, and governance of rapid drought–flood or flood–drought transitions across spatial and temporal scales. We welcome contributions on event definitions and indicators; flash drought-flash flood linkages; atmospheric rivers, monsoon variability, and moisture transport; land–atmosphere–human feedbacks; climate variability and anthropogenic forcing; nonstationarity, regime shifts, and tipping points; and cascading socio-economic and ecological impacts.
We particularly encourage studies using advanced approaches, including remote sensing, high-resolution Earth system modeling, and machine learning, with a specific emphasis on hybrid physics-AI approaches. Contributions that bridge process understanding with operational applications are also invited, such as subseasonal-to-seasonal prediction, impact-oriented extreme event forecasting, dynamic multi-hazard risk mapping, multi-hazard early warning, adaptive water management, and disaster risk reduction.
By linking physical science, data science, and decision-making, this session aims to advance actionable knowledge and strengthen societal resilience to increasingly complex hydroclimatic extremes. We welcome diverse regional perspectives, as well as interdisciplinary collaborations that bridge natural science, engineering, social science and management practices.