Sea surface wind directions retrieval method based on footprints of rain cells on SAR images

Ye Xiaomin; Lin Mingsen; Liang Chao; Zou Yarong; Yuan Xinzhe

doi:10.3969/j.issn.0253-4193.2018.04.004

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Ye Xiaomin, Lin Mingsen, Liang Chao, Zou Yarong, Yuan Xinzhe. Sea surface wind directions retrieval method based on footprints of rain cells on SAR images[J]. Haiyang Xuebao, 2018, 40(4): 41-50. doi: 10.3969/j.issn.0253-4193.2018.04.004

Citation:

Ye Xiaomin, Lin Mingsen, Liang Chao, Zou Yarong, Yuan Xinzhe. Sea surface wind directions retrieval method based on footprints of rain cells on SAR images[J]. Haiyang Xuebao, 2018, 40(4): 41-50. doi: 10.3969/j.issn.0253-4193.2018.04.004

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Sea surface wind directions retrieval method based on footprints of rain cells on SAR images

doi: 10.3969/j.issn.0253-4193.2018.04.004

1.
National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China;Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration, Beijing 100081, China
2.
National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China;Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration, Beijing 100081, China;Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266200, China

Received Date: 2017-04-13
Rev Recd Date: 2017-12-12

Abstract

Abstract

Wind directions are necessary to sea surface wind speed retrieval from SAR image by Geophysical Model Function (GMF). In this paper, a method of sea wind directions retrieval from SAR images by using the feature of footprints of rain cells on SAR image with brighter in downwind direction and darker in upwind direction is applied on sea surface wind retrieval. The root mean square errors (RMSE) of wind directions retrieved from 4 case studied RADARSAT-2 SAR images compared with wind directions of ASCAT are all less than 16 degrees. The wind speed retrieval results from these 4 SAR images by using GMF of CMOD5 with wind directions retrieved from rain cells are nearly the same as that with wind directions of ASCAT scatterometer, the differences of RMSEs are no more than 0.3 m/s. The method of wind directions retrieval from the feature of rain cell footprints on SAR image developed in this paper can be applied in SAR wind speeds retrieval.
- rain cells,
- SAR,
- wind directions,
- sea surface wind speed retrieval

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References(16)

References

Lin Hui, Xu Qing, Zheng Quanan. An overview on SAR measurements of sea surface wind[J]. Progress in Natural Science, 2008, 18(8):913-919.

Xu Qing, Lin Hui, Jiang Liming, et al. SAR measurement of ocean surface wind using a physics model[C]//IEEE International Geoscience and Remote Sensing Symposium. Boston, MA, USA:IEEE, 2008.

Xu Qing, Lin Hui, Zheng Quanan, et al. Evaluation of ENVISAT SAR data for sea surface wind retrieval in Hong Kong coastal waters of China[J]. Acta Oceanologica Sinica, 2008, 27(4):57-62.

Gerling T W. Structure of the surface wind field from the Seasat SAR[J]. Journal of Geophysical Research:Oceans, 1986, 91(C2):2308-2320.

Alpers W, Brümmer B. Atmospheric boundary layer rolls observed by the synthetic aperture radar aboard the ERS-1 satellite[J]. Journal of Geophysical Research:Oceans, 1994, 99(C6):12613-12621.

Vachon P W, Dobson F W. Validation of wind vector retrieval from ERS-1 SAR images over the ocean[J]. Global Atmosphere & Ocean System, 1996, 5(2):177-187.

Fetterer F, Gineris D, Wackerman C C. Validating a scatterometer wind algorithm for ERS-1 SAR[J]. IEEE Transactions on Geoscience & Remote Sensing, 1998, 36(2):479-492.

Thompson D R, Monaldo F M, Beal R C, et al. Combined estimates improve high-resolution coastal wind mapping[J]. EOS, Transactions, American Geophysical Union, 2001, 82(41):469-484.

Dankert H, Horstmann J, Rosenthal W. Ocean wind fields retrieved from radar-image sequences[J]. Journal of Geophysical Research:Oceans, 2003, 108(C11):3352.

Houze R A Jr. Stratiform precipitation in regions of convection:A meteorological paradox?[J]. Bulletin of American Meteorological Society, 1997, 78(10):2179-2196.

Atlas D. Origin of storm footprints on the sea seen by synthetic aperture radar[J]. Science, 1994, 266(5189):1364-1366.

Atlas D. Footprints of storms on the sea:A view from spaceborne synthetic aperture radar[J]. Journal of Geophysical Research:Oceans, 1994, 99(C4):7961-7969.

Alpers W, Melsheimer C. Chapter 17 Rainfall[M]//Jackson C R, Apel J R, eds. Synthetic Aperture Radar Marine User's Manual. College Park, MD, USA:NOAA/NESDIS/STAR, 2004:355-371.

Ye Xiaomin, Lin Mingsen, Yuan Xinzhe, et al. Satellite SAR observation of the sea surface wind field caused by rain cells[J]. Acta Oceanologica Sinica, 2016, 35(9):80-85.

Morena L C, James K V, Beck J. An introduction to the RADARSAT-2 mission[J]. Canadian Journal of Remote Sensing, 2004, 30(3):221-234.

Luscombe A. RADARSAT-2 Product format definition[Z]. Richmond, Canada:MacDonald Dettwiler RN-RP-51-2713, 2008.

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