DocumentCode
2262858
Title
Identification and possible correction of rain contamination in QuikScat/SeaWinds wind retrievals
Author
Connor, Laurence N. ; Chang, P.S. ; Carswel, James R.
Author_Institution
Office of Res. & Appl., NOAA, Boulder, CO, USA
Volume
3
fYear
2000
fDate
2000
Firstpage
1238
Abstract
The excellent coverage and wind vector retrieval performance of the SeaWinds scatterometer on QuikSCAT promises to be of great value to the operational marine forecasting community. However, recent validation efforts have revealed that rain can have a significant impact on the wind vector retrieval quality. Therefore, several rain flagging methods have been developed by the QuikSCAT calibration/validation team, and are being included in the initial release of QuikSCAT wind data to the scientific community. These rain flags will permit the user to at least identify the retrievals of questionable quality. An evaluation of these rain flags is carried out with the goal of improving their understanding and quantifying the physical mechanisms responsible for wind retrieval performance degradation, and refinements to the rain flags algorithms will be made as necessary. Precipitation products derived from the brightness temperature measurements of SSM/I and TMI are colocated with QuikSCAT retrievals to help quantify the propagation path losses and scattering effects on the QuikSCAT/SeaWinds measurements. An attempt is made to quantify the contributions of rain in the QuikSCAT/SeaWinds measurements, and thus, provide the basis for a possible correction scheme for the rain effects from the QuikSCAT/SeaWinds measurements
Keywords
atmospheric techniques; meteorological radar; remote sensing by radar; spaceborne radar; wind; QuikScat; SeaWinds; correction; marine atmosphere; measurement technique; meteorological radar; radar remote sensing; radar scatterometry; rain contamination; rain flagging method; retrieval method; spaceborne radar; wind; wind direction; wind speed; wind vector; Brightness temperature; Calibration; Contamination; Degradation; Loss measurement; Pollution measurement; Radar measurements; Rain; Temperature measurement; Wind forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-6359-0
Type
conf
DOI
10.1109/IGARSS.2000.858079
Filename
858079
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