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Large-scale flood modeling and forecasting with FloodCast
March 20, 2024, 4:41 a.m. | Qingsong Xu, Yilei Shi, Jonathan Bamber, Chaojun Ouyang, Xiao Xiang Zhu
cs.LG updates on arXiv.org arxiv.org
Abstract: Large-scale hydrodynamic models generally rely on fixed-resolution spatial grids and model parameters as well as incurring a high computational cost. This limits their ability to accurately forecast flood crests and issue time-critical hazard warnings. In this work, we build a fast, stable, accurate, resolution-invariant, and geometry-adaptative flood modeling and forecasting framework that can perform at large scales, namely FloodCast. The framework comprises two main modules: multi-satellite observation and hydrodynamic modeling. In the multi-satellite observation module, …
abstract arxiv build computational cost cs.cv cs.lg flood forecast forecasting geometry issue modeling parameters physics.flu-dyn scale spatial type work
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