DocumentCode :
576004
Title :
A wind direction extension based algorithm for scatterometer wind vector retrieval
Author :
Xie, Xuetong ; Lin, Mingsen ; Chen, Kehai ; Huang, Zhou ; Liu, Lixia ; Tian, Dongxuan ; Wang, Xiaoning ; Chen, Wenxin ; He, Rongrong ; Zou, Juhong
Author_Institution :
Earthquake Eng. Res. Test Center, Guangzhou Univ., Guangzhou, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
2821
Lastpage :
2824
Abstract :
According to the lower efficiency and larger wind direction errors in the nadir region of the swath, a new combined wind retrieval algorithm is proposed for conically scanning scatterometer in this paper. The presented algorithm has the dual advantages of both higher efficiency and higher wind direction retrieval accuracy by combining the wind speed standard deviation algorithm and the wind direction interval retrieval(DIR) algorithm. It adopts wind speed standard deviation as criterion for searching possible wind vector solutions and retrieves potential wind direction interval for the first and second ambiguities based on the change rate of the wind speed standard deviation. Some SeaWinds L2A data and collocated buoy data were used to validate the algorithm. Retrieval experiments indicated that the algorithm can significantly reduce the wind direction retrieval errors in the nadir region.
Keywords :
atmospheric techniques; geophysical signal processing; remote sensing; wind; SeaWinds L2A data; buoy data; conically scanning scatterometer; nadir region; scatterometer wind vector retrieval; wind direction extension based algorithm; wind direction interval retrieval; wind direction retrieval error; wind retrieval algorithm; wind speed standard deviation algorithm; Algorithm design and analysis; Radar measurements; Spaceborne radar; Standards; Vectors; Wind speed; Conically scanning scatterometer; wind direction extension; wind speed standard deviation; 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.2012.6350845
Filename :
6350845
Link To Document :
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