Articles | Volume 30, issue 5
https://doi.org/10.5194/hess-30-1333-2026
https://doi.org/10.5194/hess-30-1333-2026
Research article
 | 
11 Mar 2026
Research article |  | 11 Mar 2026

Climate adaptation-aware flood prediction for coastal cities using Deep Learning

Bilal Hassan, Areg Karapetyan, Aaron Chung Hin Chow, and Samer Madanat

Data sets

San Francisco Bay Area Coastal Flood Prediction Dataset for Deep Learning B. Hassan https://doi.org/10.7910/DVN/RPHXGV

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Short summary
In this research, we developed an AI-driven framework that rapidly predicts floods in coastal areas, considering various shoreline protection strategies and a different sea-level rise scenarios. By combining data from two coastal cities, our lightweight model delivers near real-time flood projections under various adaptation strategies. This approach can guide policymakers in designing effective defenses, ultimately promoting safer coastal communities and infrastructure.
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