Synthetic aperture radar (SAR) is a useful instrument for monitoring typhoons, hurricanes, and tropical cyclones from space. In this article, we summarize high wind-speed retrieval and validation methods for multi-polarization SAR. Compared to co-polarized geophysical model functions,
we show that a cross-polarized wind-speed retrieval model is potentially able to estimate wind speed under extreme weather conditions. The resulting wind speeds are validated using in situ buoy observations, and airborne Stepped-Frequency Microwave Radiometer (SFMR) and spaceborne scatterometer
measurements, as well as the National Oceanic and Atmospheric Administration (NOAA) Hurricane Research Division’s Hurricane Wind Analysis System (H*Wind) data. We also analyse the effect of intense rainfall on SAR-derived winds. The wind-speed retrieval accuracy can be improved in cases
where the normalized radar cross sections (NRCSs) are suitably modified in rainfall areas.
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Document Type: Research Article
School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing, China
Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada
June 18, 2014
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