Retrieval and Quality Assessment of Wind Velocity Vectors on the Ocean With C-Band SAR
Artikel i vetenskaplig tidskrift, 2014

Wind vector fields derived from synthetic aperture radar (SAR) sensors show variations at smaller scales than most other globally available surface wind sources. However, few studies have been devoted to the investigation of the accuracy of SAR-derived wind fields at different scales and how they compare with other wind data. In order to investigate these issues, an algorithm for the retrieval of SAR-derived wind vectors has been developed, and a quality assessment between the retrievals and in situ, scatterometer, and numerical weather model (NWM) wind data has been performed. The implemented wind retrieval algorithm detects streak features in the SAR image to estimate wind directions and inverts wind speeds using CMOD-IFR2, CMOD5, or CMOD5.N geophysical model functions. In addition, a regularization method for filtering outliers in the wind direction retrievals is used. Retrievals compared with in situ data indicated better performance at offshore locations for wind speed inversions with CMOD5.N. The bias and standard deviation for offshore regularized wind directions and CMOD5.N speeds are 9 degrees and 25 degrees and -0.1 and 1.4 m/s, respectively. The comparison with the scatterometer and NWM wind data has been performed for retrievals at 5-, 10-, and 20-km resolution. The results indicate a better agreement of the coarser retrievals with the reference data. Nevertheless, mapping of smaller scale features requires wind directions from the SAR image itself.

synthetic aperture radar (SAR)

wind speed

wind direction variation with resolution

ocean surface wind


numerical weather model (NWM)

Directional variation

wind direction


Gisela Carvajal

Chalmers, Rymd- och geovetenskap, Radarfjärranalys

Leif Eriksson

Chalmers, Rymd- och geovetenskap, Radarfjärranalys

Lars Ulander

Chalmers, Rymd- och geovetenskap, Radarfjärranalys

IEEE Transactions on Geoscience and Remote Sensing

0196-2892 (ISSN) 15580644 (eISSN)

Vol. 52 5 2519-2537 6531669





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