Evaluation of Radial Ocean Surface Currents Derived From Sentinel‐1 IW Doppler Shift Using Coastal Radar and Lagrangian Surface Drifter Observations

Date of publication 15 June 2020

Authors Moiseev, A.; Johnsen, H.; Hansen, M. W.; Johannessen, J. A.

Sources Journal of Geophysical Research. Oceans : 125 (DocId: 4)

DOILink https://doi.org/10.1029/2019JC015743

Abstract

Ocean surface radial velocities (RVLs) derived from the Sentinel-1 A/B Interferomic Wide (IW) mode Doppler frequency shift observations are regularly acquired over the Norwegian coastal zone. These data can be used to complement existing ocean observation systems with high-resolution (up to 1.5 x 1.5 km) spatial ocean surface current (OSC) maps. In this study, Sentinel-1 IW Level 2 OSC retrievals were obtained from 2 months (October-November 2017) of raw Doppler shift observations acquired over the Norwegian Coastal Current (NCC). The results were evaluated using coastal high-frequency radar (HFR) and Lagrangian ocean surface drifter observations. The analysis shows that distinct patterns of the NCC, with range directed currents reaching up to 0.7 m/s, can be detected in the SAR data. The mean bias between Synthetic Aperture Radar (SAR) and HFR observations was -0.08 m/s and the root mean square deviation (RMSD) was 0.25 m/s. In comparison, the agreement between the SAR-derived OSC and the trajectories from Lagrangian surface drifters showed a mean bias of 0.02 m/s and an RMSD of 0.24 m/s. The accuracy of the SAR OSC retrievals rely on precise wind-wave bias correction. Hence, the accuracy of the model wind field (speed and direction) is crucial. The sea state contribution must also be taken into account during the bias correction. A typical required accuracy of the OSC velocity is on the order of 0.1 m/s. Therefore, the comparisons demonstrate that the use of SAR for OSC retrieval is promising.

TSC Opinion

La modelisation à haute résolution des courants de surface est complexe. Cet article montre comment le couplage avec les données satellites apporte des informations que l’état de surface de la mer et sur le vent, deux paramètres cruciaux pour les modèles. Ils permettront de prédire la dispersion de polluants et de déchets plastiques flottants afin d’alerter et éventuellement d’organiser des campagnes de nettoyages.

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