DocumentCode :
576040
Title :
A study on wind vector retrieval algorithm for rotating fan-beam scatterometer
Author :
Xie, Xuetong ; Huan, Shi ; Liu, Jianqiang ; Lang, Shuyan ; Zhang, Youguang ; Zhu, Di ; Chen, Kehai ; Zou, Juhong ; Huang, Zhou ; Tao, Weijun
Author_Institution :
Earthquake Eng. Res. Test Center, Guangzhou Univ., Guangzhou, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
2047
Lastpage :
2050
Abstract :
Rotating fan-beam scatterometer (RFSCAT) is a new type of satellite scatterometer that was proposed about one decade ago.However, just as other rotating scatterometers, relatively larger wind retrieval errors occur in the nadir and outer regions than in the middle regions of the swath. In order to address this problem, a modified wind vector retrieval algorithm for RFSCAT is presented in this paper. The new algorithm is featured with adaptively extending the range of wind direction for each wind vector cell position across the whole swath according to the distribution histogram of the retrieved wind direction bias. Simulation experiments demonstrated that the new established algorithm can effectively improve the wind direction retrieval accuracy in the nadir and outer regions of the RFSCAT swath.
Keywords :
atmospheric techniques; geophysical signal processing; remote sensing; statistical distributions; wind; RFSCAT; distribution histogram; rotating fan-beam scatterometer; satellite scatterometer; wind direction; wind vector cell position; wind vector retrieval algorithm; Accuracy; Data models; Histograms; Radar measurements; Software algorithms; Spaceborne radar; Vectors; Rotating fan-beam scatterometer; distribution histogram of bias; objective function; wind direction extension; wind vector retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6350972
Filename :
6350972
Link To Document :
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