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