Retrieval of Sea Surface Wind Speed Using Spaceborne Millimeter-Wave Radar Measurements

被引：1
|
作者：
Wen, Tao [1 ]
Yao, Zhi G. [2 ]
Zhao, Zeng L. [2 ]
Lin, Long F. [2 ]
Han, Zhi G. [2 ]
Guo, Lin D. [3 ]
机构：
[1] 31008 Troops PLA, Beijing 100091, Peoples R China
[2] Beijing Inst Appl Meteorol, Atmospher Res Dept, Beijing 100029, Peoples R China
[3] Natl Def Univ, Joint Logist Acad, Beijing 100858, Peoples R China
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2018年 / 15卷 / 12期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Inversion; marine surface wind; millimeter wave; neural network; ARTIFICIAL NEURAL-NETWORKS; BACKSCATTERING; CALIBRATION;
D O I：
10.1109/LGRS.2018.2865196
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
Spaceborne millimeter-wave radars can acquire sea surface backscatter information under clear sky conditions. The analysis based on the classical sea surface scattering model and a matching data set of global CloudSat Cloud Profiling Radar (CPR) observations and AMSR-E sea surface parameters shows that the sea surface scattering cross section is significantly dependent on the sea surface wind speed (SSW) in the range of less than 13 m/s. Then, with CPR observations and the sea surface temperature as the input information, an SSW retrieval model under clear sky conditions is established using neural networks. Retrieval results show that the correlation coefficient and the RMS error, between the millimeter-wave cloud radar SSW and the AMSR-E SSW, are approximately 0.95 and 0.97 m/s, respectively.
引用
收藏
页码：1807 / 1811
页数：5
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