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Original Articles

An algorithm for the retrieval of sea surface wind fields using X-band TerraSAR-X data

, , , &
Pages 7310-7336 | Received 31 Dec 2010, Accepted 06 Mar 2012, Published online: 10 Jul 2012
 

Abstract

TerraSAR-X (TS-X) is a new, fully polarized X-band synthetic aperture radar (SAR) satellite, which is a successor of the Spaceborne Imaging Radar X-band Synthetic Aperture Radar (SIR-X-SAR) and the SRTM. TS-X has provided high-quality image products over land and oceans for scientific and commercial users since its launch in June 2007. In this article, a new geophysical model function (GMF) is presented to retrieve sea surface wind speeds at a height of 10 m (U 10) based on TS-X data obtained with VV polarization in the ScanSAR, StripMap and Spotlight modes. The X-band GMF was validated by comparing the retrieved wind speeds from the TS-X data with in situ observations, the high-resolution limited area model (HIRLAM) and QuikSCAT scatterometer measurements. The bias and root mean square (RMS) values were 0.03 and 2.33 m s−1, respectively, when compared with the co-located wind measurements derived from QuikSCAT. To apply the newly developed GMF to the TS-X data obtained in HH polarization, we analysed the C-band SAR polarization models and extended them to the X-band SAR data. The sea surface wind speeds were retrieved using the X-band GMF from pairs of TS-X images obtained in dual-polarization mode (i.e. VV and HH). The retrieved results were also validated by comparing with QuikSCAT measurements and the results of the German Weather Service (DWD) atmospheric model. The obtained RMS was 2.50 m s−1 when compared with the co-located wind measurements derived from the QuikSCAT, and the absolute error was 2.24 m s−1 when compared with DWD results.

Acknowledgements

This work was supported by the Director Foundation of CEODE, the ESA-MOST Dragon 2 ID 5338 Project, the Germany and China ‘Marine Monitoring’ cooperative project, and the National Basic Research Programme of China (973 Programme; 2009CB723903). Y. Ren thanks the co-supervised programme of the China Scholarship Council for supporting his study in Germany in 2009. The authors thank the German Aerospace Center for kindly providing the SIR-X-SAR and TS-X data. The ERA-40, QuikSCAT, SSM/I, HIRLAM and DWD data were downloaded from the respective web portals. The in situ observational wind measurements were obtained from the website of the University of Wyoming.

Notes

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