Earth system science data· 2026Q1
WAPOSAL: a multi-regional wave dataset from satellite altimetry for significant wave height, period estimation, and wave power density
- 1citations
- Q1SCImago
- 2026year
Short summary
A new high-resolution dataset, WAPOSAL, derived from Sentinel-3A/B and CryoSat-2 satellite altimetry, provides wave height, period, and power density estimates across eleven global regions from 2011-2023.
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Key points
- WAPOSAL dataset provides wave height, period, and power density from Sentinel-3A/B and CryoSat-2.
- Data covers eleven global regions, including coastal and nearshore areas, from 2011-2023.
- Utilizes SAMOSA+ retracker for wave height and empirical regression for wave period estimation.
- Aims to support marine renewable energy development and numerical wave model validation.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract. Accurate assessment of wave power density (WPD) is essential for marine renewable energy development and for validating numerical wave models, particularly in coastal and nearshore regions where in situ observations are sparse. This study presents a high-resolution, multi-region wave dataset generated within the WAPOSAL (Wave Power & Satellite Altimetry) project, derived from Synthetic Aperture Radar (SAR) altimetry data acquired by the Sentinel-3A/B and CryoSat-2 missions. Significant wave height and normalized radar cross-section were obtained using the SAMOSA+ retracker, and zerocrossing wave period was estimated based on an empirical regression method calibrated with in situ buoy and ERA5 data. Wave power density was then computed along altimeter tracks across eleven regions: Norway & Baltic Sea, UK & North Sea, French Facade, Spain Atlantic, Portugal, Mediterranean sea, Madeira, Canary Islands, Azores Archipelago, French Guiana and French Polynesia. The temporal coverage spans 2011–2023, depending on the region and the satellite mission considered. The present paper describes the database and illustrates its use through simple application examples. The dataset in its current format and version can be discovered, shared and cited via the following link: https://doi.org/10.57780/ESA-1AB8CF3 (Ponce de Léon et al., 2026).
The authors' abstract, as published at the source. Earth system science data, 2026 · DOI ↗
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OceanographyEarth and Planetary Sciences