Journal of East China Normal University(Natural Science) ›› 2022, Vol. 2022 ›› Issue (3): 125-136.doi: 10.3969/j.issn.1000-5641.2022.03.013

• Estuary and Coastal Research • Previous Articles    

Inversion methods for typhoon wind fields using Sentinel-1

Peng YU1(), Xiaojing ZHONG2,*(), Xupu GENG3   

  1. 1. College of Computer and Information Engineering, Xiamen University of Technology, Xiamen Fujian 361024, China
    2. College of Harbour and Coastal Engineering, Jimei University, Xiamen Fujian 361021, China
    3. State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen Fujian 361102, China
  • Received:2021-06-16 Accepted:2021-10-25 Online:2022-05-25 Published:2022-05-19
  • Contact: Xiaojing ZHONG E-mail:yupeng@xmut.edu.cn;xjzhong@jmu.edu.cn

Abstract:

Under high-speed wind conditions, cross-polarization synthetic aperture radar (SAR) is not affected by signal saturation. Hence, SAR can be used to observe expansive, high-speed wind fields under all-weather, day- and night-time conditions and offers great potential for monitoring typhoons. Sentinel-1, which was launched by the European Space Agency (ESA), is one of the few available SAR satellites in orbit at present that can provide cross-polarization data. Based on Sentinel-1 cross-polarization data, seven different cross-polarization models, including the C-band cross polarization ocean model (C-2PO), C-band cross-polarization coupled-parameters ocean model (C-3PO), and quad-polarization stripmap cross-polarization model (QPS-CP), developed from 2011 to 2021 were used to estimate the typhoon wind fields of Higos and Molave. A denoising method was applied to remove the noise from extra wide (EW) mode SAR images. The results show that the denoising method can effectively reduce the noise and improve the retrieved wind fields. The C-3PO model performs well in monitoring high-speed winds, but does not obtain reliable results for low- to moderate-speed winds compared with the Sentinel-1 Level-2 Ocean (OCN) product. By merging results from the cross-polarization model and the OCN wind product, the combined wind field can effectively reproduce the inner high-speed winds and outer relative low-speed winds. This study is of significant value for forecasting, data assimilation, and research of typhoon disasters.

Key words: Sentinel-1, typhoon, SAR, cross-polarization

CLC Number: