Research on impact of upwelling on SAR-derived wind speeds along the Zhejiang coast

Junfang Chang; Weigeng Huang; Xiulin Lou; Aiqin Shi

doi:10.1117/12.902229

23 November 2011 Research on impact of upwelling on SAR-derived wind speeds along the Zhejiang coast

Junfang Chang, Weigeng Huang, Xiulin Lou, Aiqin Shi

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80062J (2011) https://doi.org/10.1117/12.902229
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

Spaceborne synthetic aperture radar (SAR) plays an important role in sea surface wind field. Upwelling is a common oceanic phenomenon which influences the wind retrieving from SAR imagery. It smoothes the sea surface and its backscatter cross section in SAR images is low. The sea surface wind retrieved directly from SAR imagery in upwelling region will be underestimated. In this article, using sea surface temperature (SST) and chlorophyll2-a derived from EOS MODIS, the low backscatter features in ENVISAT ASAR image are analyzed along the Zhejiang Coast in the East China Sea. And CMOD4 algorithm is adopted to retrieve sea surface wind speed, using wind directions from interpolated NCEP / NCAR reanalysis data. Results show that wind speed is negatively biased due to the low Normalized Radar Cross Section (NRCS) associated with the Zhejiang Coastal Upwelling. Based on statistical method, the quantitative relationship between SAR-derived wind speeds and high resolution numerical meteorological model results is established. Then using this quantitative relationship, the underestimated wind speeds in upwelling region are corrected and the impact of coastal upwelling on SAR wind retrieval is quantitatively evaluated.

Citation Download Citation

Junfang Chang, Weigeng Huang, Xiulin Lou, and Aiqin Shi "Research on impact of upwelling on SAR-derived wind speeds along the Zhejiang coast", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80062J (23 November 2011); https://doi.org/10.1117/12.902229

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KEYWORDS

Synthetic aperture radar

Data modeling

Backscatter

Atmospheric modeling

Coastal modeling

Image retrieval

MODIS

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