DocumentCode
36027
Title
Aquarius Wind Speed Products: Algorithms and Validation
Author
Fore, Alexander G. ; Yueh, Simon H. ; Wenqing Tang ; Hayashi, Akiko K. ; Lagerloef, G.S.E.
Author_Institution
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume
52
Issue
5
fYear
2014
fDate
May-14
Firstpage
2920
Lastpage
2927
Abstract
This paper introduces and validates the Aquarius scatterometer-only wind speed algorithm and the combined active passive (CAP) wind speed products. The scatterometer-only algorithm uses the co-polarized radar cross-section to determine the ocean surface wind speed with a maximum-likelihood estimator approach while the CAP algorithm uses both the scatterometer and radiometer channels to achieve a simultaneous ocean vector wind and sea surface salinity retrieval. We discuss complications in the speed retrieval due to the shape of the scatterometer model function at L-band and develop mitigation strategies. We find the performance of the Aquarius scatterometer-only wind speed is better than 1.00 ms-1, with best performance for low wind speeds and increasing noise levels as the wind speed increases. The CAP wind speed product is significantly better than the scatterometer-only due to the inclusion of passive measurements and achieves 0.70 ms-1 root-mean-square error.
Keywords
atmospheric techniques; remote sensing by radar; wind; Aquarius scatterometer-only wind speed algorithm; Aquarius wind speed products; CAP wind speed product; L-band; co-polarized radar cross-section; combined active passive wind speed products; maximum-likelihood estimator; ocean surface wind speed; ocean vector wind; passive measurements; radiometer channel; root-mean-square error; scatterometer channel; scatterometer model function; sea surface salinity retrieval; L-band; Radar measurements; Rough surfaces; Sea surface; Spaceborne radar; Wind speed; Aquarius; ocean winds; radar; remote sensing; scatterometery;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2013.2267616
Filename
6558524
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