Articles | Volume 18, issue 6
https://doi.org/10.5194/gmd-18-1929-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-1929-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
25 Mar 2025
Model evaluation paper |
| 25 Mar 2025
| 25 Mar 2025
A new global high-resolution wave model for the tropical ocean using WAVEWATCH III version 7.14
Axelle Gaffet
CORRESPONDING AUTHOR
Creocean, Zone Technocean – Chef de Baie, 10 Rue Charles Tellier, 17000 La Rochelle, France
UMR 7266 LIENSs, CNRS-La Rochelle Université, 2 Rue Olympe de Gouges, 17000 La Rochelle, France
Xavier Bertin
UMR 7266 LIENSs, CNRS-La Rochelle Université, 2 Rue Olympe de Gouges, 17000 La Rochelle, France
Damien Sous
Université de Pau et des Pays de l'Adour, E2S-UPPA, SIAME, 64600 Anglet, France
MIO, Université de Toulon, Bâtiment F, 83130 La Garde, France
Héloïse Michaud
Shom, 42 Avenue Gaspard Coriolis, BP 45017 – 31032 Toulouse CEDEX 5, France
Aron Roland
BGS IT&E, Darmstadt, Hesse, Germany
Emmanuel Cordier
Observatoire des Sciences de l'Univers de La Réunion (OSU-Réunion), UAR 3365, Université de La Réunion, CNRS, IRD, Météo France, Saint-Denis, France
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The Bay of Bengal is well known for some of the deadliest cyclones in history. At the same time, storm surge forecasting in this region is physically involved and computationally costly. Here we show a proof of concept of a real-time, computationally efficient, and physically consistent forecasting system with an application to the recent Supercyclone Amphan. While challenges remain, our study paves the path forward to the improvement of the quality of localized forecast and disaster management.
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Short summary
This study presents a new global wave model that improves predictions of sea states in tropical areas by using a high-resolution grid and corrected wind fields. The model is validated globally with satellite data and nearshore using in situ data. The model allows for the first time direct comparisons with in situ data collected at 10–30 m water depth, which is very close to shore due to the steep slope usually surrounding volcanic islands.
This study presents a new global wave model that improves predictions of sea states in tropical...
