Title :
WindSat Sea Surface Wind Vector Retrievals Based on a Simplified Forward Model
Author_Institution :
Ocean Remote Sensing Inst., Ocean Univ. of China, Qingdao, China
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;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0872-4
DOI :
10.1109/RSETE.2012.6260811