AI RESEARCH
Uncovering Insights of Compound Flooding with Data-Driven AI
arXiv CS.LG
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ArXi:2506.04281v2 Announce Type: replace Compound flooding, driven by nonlinear interactions between multiple hydrometeorological factors, poses a significant challenge to hazard prevention. Existing forecasting approaches, whether physics-based or data-driven, often emphasize temporal patterns while underexploring how multiple interacting factors jointly shape flood dynamics.