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High Winds From Combined Active and Passive Measurements of HY-2A Satellite
Xu, Xingou1; Dong, Xiaolong2; Zhu, Di3; Lang, Shuyan4
Department微波遥感部
Source PublicationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
2018
DOI10.1109/JSTARS.2018.2873257
ISSN1939-1404
Abstract

Conventional scatterometer wind retrieval has been proved effective for low and moderate wind conditions. Under high wind conditions, especially for typhoons, the airsea interactions are fierce, and usually the sea surface backscattering is complicated by rain, leading to degraded scatterometer wind quality. Under such circumstances, radiometers in different frequencies can provide information of rains and the complex airsea interface. In this paper, an artificial neural network (ANN) was employed to combine the observations of the two sensors onboard HY-2A satellite: radiometer and scatterometer (HSCAT) to achieve wind field retrieving under typhoon conditions. The ANN was trained by using globalregional assimilation and prediction system (GRAPES) wind field data as true values. The established network is then verified by an independent dataset excluded from the training data. It is shown that the wind speeds and directions retrieved from the ANN are better than those of the operational HSCAT products as compared to GRAPES winds. Further comparison with the HWind product proves that the proposed ANN is effective in terms of high wind field retrieval. The research of this paper provides a nice reference for the typhoon wind retrieval from the HY-2A satellite and for the data processing of the coming HY-2 satellite series. IEEE

Indexed BySCI ; EI
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Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/6562
Collection微波遥感部
Affiliation1.Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China (e-mail: xuxingou@mirslab.cn).;
2.Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China, and also with the University of Chinese Academy of Sciences, Beijing 100049, China (e-mail: dongxiaolong@mirslab.cn).;
3.Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China (e-mail: zhudi@mirslab.cn).;
4.National Satellite Ocean Application Service, Beijing 100081, China (e-mail: langshuyan@mail.nsoas.org.cn).
Recommended Citation
GB/T 7714
Xu, Xingou,Dong, Xiaolong,Zhu, Di,et al. High Winds From Combined Active and Passive Measurements of HY-2A Satellite[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2018.
APA Xu, Xingou,Dong, Xiaolong,Zhu, Di,&Lang, Shuyan.(2018).High Winds From Combined Active and Passive Measurements of HY-2A Satellite.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
MLA Xu, Xingou,et al."High Winds From Combined Active and Passive Measurements of HY-2A Satellite".IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2018).
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