Articles | Volume 26, issue 8
https://doi.org/10.5194/nhess-26-3683-2026
https://doi.org/10.5194/nhess-26-3683-2026
Research article
 | 
07 Aug 2026
Research article |  | 07 Aug 2026

Storm surge dynamics in the northern Adriatic Sea: comparing AI emulators with high-resolution numerical simulations

Rodrigo Campos-Caba, Paula Camus, Andrea Mazzino, Michalis Vousdoukas, Massimo Tondello, Ivan Federico, Salvatore Causio, and Lorenzo Mentaschi

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Latest update: 09 Oct 2026
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Short summary
We assess the ability of machine learning emulators, from Multivariate Linear Regression to Long Short-Term Memory (LSTM) networks, to reproduce storm surge dynamics in the northern Adriatic Sea. Using the corrected Mean Absolute Deviation squared (MADc²) loss function, we demonstrate that data-driven models can match high-resolution hydrodynamic simulations in representing extreme surge events with greatly reduced computational cost.
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