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
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