Articles | Volume 30, issue 15
https://doi.org/10.5194/hess-30-5097-2026
https://doi.org/10.5194/hess-30-5097-2026
Research article
 | 
12 Aug 2026
Research article |  | 12 Aug 2026

A process-informed framework linking temperature-rainfall projections and urban flood modeling

Wenyue Zou, Ruidong Li, Daniel B. Wright, Jovan Blagojevic, Peter Molnar, Mohammad A. Hussain, Yue Zhu, Yongkun Li, Guangheng Ni, and Nadav Peleg

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Short summary
We present a framework using observed rainfall and temperature to generate realistic storms and simulate street-scale flooding for present and future climates. It integrates temperature-based rainfall scaling, storm-frequency estimation, and urban flood modeling, demonstrated in Beijing to assess changes in regional storm and flood depth, timing, and flow velocity. The workflow is data-light, physically grounded, and transferable worldwide.
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