DocumentCode :
2882917
Title :
WindSat Sea Surface Wind Vector Retrievals Based on a Simplified Forward Model
Author :
Zhao, Yili
Author_Institution :
Ocean Remote Sensing Inst., Ocean Univ. of China, Qingdao, China
fYear :
2012
fDate :
1-3 June 2012
Firstpage :
1
Lastpage :
3
Abstract :
In this paper, a wind vector retrieval algorithm has been developed for the first satellite borne polarimetric radiometer WindSat based on a simplified forward model. Sea surface wind speed retrieval algorithm was developed using multiple linear regression. Multiple ambiguous wind directions were estimated with Maximum Likelihood, and the median filter was used to remove the ambiguity of wind direction. Using the buoy wind vector from U.S. National Data Buoy Center (NDBC) as ground truth, the RMS error of the retrieved wind speed is 1.17 m/s with a bias of 0.13 m/s. The wind direction retrieval results are agree with the results given in published research.
Keywords :
atmospheric measuring apparatus; atmospheric techniques; radiometers; radiometry; wind; US National Data Buoy Center; WindSat sea surface wind vector retrievals; buoy wind vector; maximum likelihood; multiple linear regression; satellite borne polarimetric radiometer; sea surface wind speed retrieval algorithm; simplified forward model; wind vector retrieval algorithm; Mathematical model; Maximum likelihood estimation; Microwave radiometry; Ocean temperature; Sea surface; Vectors; Wind speed;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0872-4
Type :
conf
DOI :
10.1109/RSETE.2012.6260811
Filename :
6260811
Link To Document :
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