Multi-Source Satellite Altimetry for Monitoring Storm Wave Footprints in the English Channel’s Coastal Areas
Climate wave data, derived from significant wave height (SWH) altimetry, provide accurate information towards nearshore and coastal areas. Their use is crucial to enhance our capabilities of observing, understanding, and forecasting storm waves, even in complex coastal basins. In this study, SWOT nadir data were combined with nine existing altimeters for assessing waves and monitoring their evolution during storms in the English Channel, near UK–French coasts. Validation against wave buoys and numerical models shows high accuracy, with correlations around 95%, decreasing to 85% when buoy track offsets > 50 km, producing the largest errors. The multi-source approach enables depth-resolved monitoring, with SWH mapping revealing ~20–25% modulation in the Channel and ~36% dissipation near the Seine Bay during storms. Spectral analysis of multi-source altimeter-derived merged observations improve time-sampling, resolving high-frequency variability from monthly to daily scales and capturing ~75% of storms. Most storm wave features along altimetry tracks are resolved, with CFOSAT mapping nearshore areas and SWOT capturing coastal zones, both achieving ~80% variance. This temporal and spatial monitoring would be further enhanced with SWOT’s 2D wide swath. This finding provides a complementary, comprehensive understanding of coastal waves and offers valuable input for data assimilation, to improve storm wave estimates in coastal basins.
Authors
- Edward Salameh (ORCID: https://orcid.org/0000-0002-7632-1420)
- Imen Turki (ORCID: https://orcid.org/0000-0002-5919-2620)
- Ángel David Gutiérrez Barceló (ORCID: https://orcid.org/0000-0001-7588-6449)
- Carlos Lopez Solano
- Lotfi Aouf (ORCID: https://orcid.org/0000-0002-0279-6773)
- Frédéric Frappart (ORCID: https://orcid.org/0000-0002-4661-8274)
- Md. Saiful Islam (ORCID: https://orcid.org/0000-0002-8952-4702)
- Aurélien Carbonnière
- Mateo Domingues
Institutions
- Centre National de la Recherche Scientifique (FR)
- University of California, Santa Cruz (US)
- Centre National d'Études Spatiales (FR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Biologie du Fruit et Pathologie (FR)
- Santé et Agroécologie du Vignoble (FR)
- Normandie Université (FR)
- Météo-France (FR)
- Unité mixte de recherche Œnologie (FR)
- Université de Rouen Normandie (FR)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-09-22
- DOI
- https://doi.org/10.3390/rs17183262
- Citations
- 1
- Primary Topic
- Tropical and Extratropical Cyclones Research
- Type
- article
- Field-Weighted Citation Impact
- 1.30
Funders
- Agence Nationale de la Recherche
- Centre National d’Etudes Spatiales