Ocean Science
Ocean Science
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Articles | Volume 21, issue 6
Articles | Volume 21, issue 6
https://doi.org/10.5194/os-21-3265-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-21-3265-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 6
Research article
 | 
02 Dec 2025
Research article |  | 02 Dec 2025

Enhancing coastal winds and surface ocean currents with deep learning for short-term wave forecasting

Manuel García-León, José María García-Valdecasas, Lotfi Aouf, Alice Dalphinet, Juan Asensio, Stefania Angela Ciliberti, Breogán Gómez, Víctor Aquino, Roland Aznar, and Marcos Sotillo

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Short summary
Accurate short-term wave forecasts are key for coastal activities. These forecasts rely on wind and currents as forcing, which in this work were both enhanced using neural networks (NNs) trained with satellite and radar data. Tested at three European sites, the NN-corrected winds were 35 % more accurate, and currents also improved. This led to improved IBI (Iberian–Biscay–Ireland) wave model predictions of wave height and period by 10 % and 17 %, respectively; even correcting under extreme events.
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