The Harmony scientific workbench part 2

High-resolution ocean wind stress and surface current retrieval

Journal Article (2026)
Author(s)

Philip Conroy (TU Delft - Civil Engineering & Geosciences)

Marcel Kleinherenbrink (European Space Agency (ESA), TU Delft - Civil Engineering & Geosciences)

Andreas Theodosiou (European Space Agency (ESA), TU Delft - Civil Engineering & Geosciences)

Yan Yuan (TU Delft - Civil Engineering & Geosciences)

Lucile Gaultier (OceanDataLab)

Fabrice Collard (OceanDataLab)

Bertrand Chapron (Institut Francais de Recherche pour l’Exploitation de la Mer)

Bjorn Rommen (European Space Agency (ESA))

Paco Lopez-Dekker (TU Delft - Aerospace Engineering)

Research Group
Mathematical Geodesy and Positioning
DOI related publication
https://doi.org/10.1109/TGRS.2026.3711320 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Mathematical Geodesy and Positioning
Journal title
IEEE Transactions on Geoscience and Remote Sensing
Volume number
64
Article number
5212715
Downloads counter
5
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Abstract

This article introduces the Harmony scientific workbench (SWB), a tool for modeling the multistatic polarimetric ocean observations of the European Space Agency (ESA) Earth Explorer 10 Harmony mission. This work focuses on the retrieval of the mission’s radar-based level-2 (L2) geophysical data products, namely stress-equivalent wind at 10 m height (U10s) and total surface current (TSC) vectors. The retrieval uses simulated level-1 (L1) radar data, which is documented in a companion paper [1]. Different inversions of the simulated L1 observations are tested. We demonstrate that the assumptions made in traditional scatterometric retrieval approaches do not always hold at the high resolutions (O(1 km)) at which Harmony will operate. In particular, wave-Doppler suffers from representation noise, which leads to incorrect estimates of surface currents. The incorporation of the mean cross-section (MACS) and the spectral cutoff parameters improve the estimates of surface current substantially. In addition, iterative estimations with increasing resolution help to reduce the noise in the geophysical retrievals. Although it is possible to get close to 0.3 m/s root mean square error (RMSE) on the wind speed, and 0.1 m/s on the ocean currents at the scale of 1 km×1 km, there are limits to geophysical model function (GMF)-type retrievals, as they are not able to fully account for ocean surface characteristics such as the skewed and wavelength-dependent directional behaviour of wave systems. Despite these limitations, our results indicate that Harmony will provide the world’s first accurate high-resolution ocean wind and current observations based on SAR data.

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