4.7 Article

Analyzing Sea Surface Wind Distribution Characteristics of Tropical Cyclone Based on Sentinel-1 SAR Images

期刊

REMOTE SENSING
卷 13, 期 22, 页码 -

出版社

MDPI
DOI: 10.3390/rs13224501

关键词

tropical cyclone; wind distribution; synthetic aperture radar; Sentinel-1; symmetry index; decay index

资金

  1. National Science Foundation of China [61931025, U20A2099, 41976017]
  2. Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [20CX06109A]
  3. Qingdao Postdoctoral Foundation Funded Project [qdyy20200098]

向作者/读者索取更多资源

The study focuses on the characteristics of TC wind distribution based on SAR images and proposes two new methodologies to calculate the decay index and symmetry index. Statistical results show that the right-side wind speed is the strongest, and the difference in wind speed between the left and right side depends on storm motion speed.
The spaceborne synthetic aperture radar (SAR) cross-polarization signal remains sensitive to sea surface wind speed with high signal-to-noise ratio under tropical cyclone (TC) conditions. It has the capability of observing TC intensity and size information over the ocean with large coverage and high spatial resolution. In this paper, TC wind distribution characteristics were studied based on SAR images. We collected 41 Sentinel-1A/B cross-polarization images covering TC eye, which were acquired between 2016 and 2020. For each case, sea surface wind speeds were retrieved by the modified MS1A model in a spatial resolution of 1 km. After deriving the value and location of maximum wind speed, wind fields were simulated symmetrically within a 200 km radius. Two new methodologies were proposed to calculate the decay index and the symmetry index based on the retrieved and simulated wind fields. Characteristics of the two indices were analyzed with respect to maximum wind. In addition, the maximum and averaged wind speeds of the right, back and left side of the motion direction were compared with TC intensity and storm motion speed. Statistical results indicate that right-side wind speed is the strongest for maximum and average, the wind difference between the left and right side is dependent on storm motion speed.

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