DocumentCode
1357517
Title
Ocean surface wind retrievals using the TRMM microwave imager
Author
Connor, Laurence N. ; Chang, Paul S.
Author_Institution
Visiting Sci. Program, Univ. Corp. for Atmos. Res., Camp Springs, MD, USA
Volume
38
Issue
4
fYear
2000
fDate
7/1/2000 12:00:00 AM
Firstpage
2009
Lastpage
2016
Abstract
An analysis of one year of brightness temperature data from the TRMM microwave imager (TMI) is presented with regard to the retrieval of ocean surface wind speeds using standard regression techniques with in situ meteorological buoy measurements. Comparisons to similar satellite radiometer data from the special sensor microwave/imager (SSM/I) are also presented to help quantify atmospheric contributions to the surface wind retrievals. Particular emphasis is placed upon the use of the 10.7 GHz channels aboard the TMI in overcoming the contamination in the ocean surface brightness temperature measurements caused by precipitation and water vapor in the propagation path. The resulting wind retrieval improvements permit a relaxation in the rain flag definitions used to determine precipitation interference cutoff criteria, allowing accurate wind speed retrievals over a wider range of precipitation conditions. These improvements are realized through the construction of a new D-matrix wind speed retrieval algorithm suitable for the middle and low latitude coverage provided by the TRMM orbit
Keywords
atmospheric techniques; radiometry; remote sensing; wind; 10.7 GHz; D-matrix algorithm; TMI; TRMM microwave imager; brightness temperature; marine atmosphere; measurement technique; meteorology; microwave radiometry; precipitation interference cutoff criteria; rain flag definition; regression technique; satellite remote sensing; surface wind retrieval; wind; wind speed retrieval algorithm; Atmospheric measurements; Brightness temperature; Extraterrestrial measurements; Image retrieval; Information retrieval; Ocean temperature; Pollution measurement; Sea measurements; Sea surface; Wind speed;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.851782
Filename
851782
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