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Open AccessArticle

Estimate of Hurricane Wind Speed from AMSR-E Low-Frequency Channel Brightness Temperature Data

1
Institute of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China
2
Marine Department, Beijing Piesat Information Technology Co., Ltd., Beijing 100195, China
*
Author to whom correspondence should be addressed.
Atmosphere 2018, 9(1), 34; https://doi.org/10.3390/atmos9010034
Received: 12 November 2017 / Revised: 1 January 2018 / Accepted: 17 January 2018 / Published: 22 January 2018
(This article belongs to the Special Issue Tropical Cyclones and Their Impacts)
Two new parameters (W6H and W6V) were defined that represent brightness temperature increments for different low-frequency channels due to ocean wind. We developed a new wind speed retrieval model inside hurricanes based on W6H and W6V using brightness temperature data from AMSR-E. The AMSR-E observations of 12 category 3–5 hurricanes from 2003 to 2011 and corresponding data from the H*wind analysis system were used to develop and validate the AMSR-E wind speed retrieval model. The results show that the mean bias and the overall root-mean-square (RMS) difference of the AMSR-E retrieved wind speeds with respect to H*wind (HRD Real-time Hurricane Wind Analysis System) analysis data were −0.01 m/s and 2.66 m/s, respectively. One case study showed that W6H and W6V were less sensitive to rain than the observed AMSR-E C-band and X-band brightness temperature data. The AMSR-E retrieval model was further validated by comparing the retrieved wind speeds against stepped-frequency microwave radiometer (SFMR) measurements. The comparison showed an RMS difference of 3.41 m/s and a mean bias of 0.49 m/s. View Full-Text
Keywords: hurricane; sea surface wind retrieval; microwave radiometer; H*wind analysis system; SFMR hurricane; sea surface wind retrieval; microwave radiometer; H*wind analysis system; SFMR
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Zhang, L.; Yin, X.-B.; Shi, H.-Q.; He, M.-Y. Estimate of Hurricane Wind Speed from AMSR-E Low-Frequency Channel Brightness Temperature Data. Atmosphere 2018, 9, 34.

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