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      Evaluation of Wind Retrieval from Co-Polarization Gaofen-3 SAR Imagery Around China Seas

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          Gaofen-3 (GF-3) is the first Chinese space-borne satellite to carry the C-band multi-polarization synthetic aperture radar (SAR). Marine applications, i.e., winds and waves retrieved from GF-3 SAR images, have been operational since January 2017. In this study, we have collected more than 1000 quad-polarization (vertical-vertical (VV); horizontal-horizontal (HH); vertical- horizontal (VH); horizontal-vertical (HV)) GF-3 SAR images, which were acquired around the China Seas from September 2016 to September 2017. Wind streaks were visible in these images in co-polarization (VV and HH) channel. Geophysical model functions (GMFs), including the CMOD5N together with polarization ratio (PR) model and C-SARMOD, were used to retrieve winds from the collected co-polarization GF-3 SAR images. Wind directions were directly obtained from GF-3 SAR images. Then, the SAR-derived wind speeds were compared with the measurements at a 0.25˚ grid from the Advanced Scatterometer on board the Metop-A/B and microwave radiometer WindSAT. Based on the analysis, empirical corrections are proposed to improve the performance of the two GMFs. Results of this study show that the standard deviation of wind speed is 1.63 m s −1 with a 0.19 m s −1 bias and 1.71 m s −1 with a 0.26 m s −1 bias for VV- and HH-polarization GF-3 SAR, respectively. Our work not only systematically evaluates wind retrieval by using the two advanced GMFs and PR models but also proposes empirical corrections to improve the accuracy of wind retrievals from GF-3 SAR images around the China Seas and thus enhance the accuracy of near real-time operational SAR-derived wind products.

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          Author and article information

          Journal of Ocean University of China
          Science Press and Springer (China )
          10 January 2019
          01 February 2019
          : 18
          : 1
          : 80-92
          1 Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, China
          2 Physical Oceanography Laboratory/CIMST, Ocean University of China and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
          3 National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China
          4 Beijing Institute of Spacecraft System Engineering, Beijing 100076, China
          Author notes
          *Corresponding author: SUN Jian
          Copyright © Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2019.

          The copyright to this article, including any graphic elements therein (e.g. illustrations, charts, moving images), is hereby assigned for good and valuable consideration to the editorial office of Journal of Ocean University of China, Science Press and Springer effective if and when the article is accepted for publication and to the extent assignable if assignability is restricted for by applicable law or regulations (e.g. for U.S. government or crown employees).

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