DocumentCode
297999
Title
Ku-band ocean backscatter functions for surface wind retrieval
Author
Nghiem, S.V. ; Li, F.K. ; Neumann, G.
Author_Institution
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume
3
fYear
1996
fDate
27-31 May 1996
Firstpage
1469
Abstract
The accuracy of wind measurements with scatterometer techniques depends on the particular geophysical model function used in the retrieval algorithm. Discrepancies among existing model functions, developed based on a mixture of aircraft and satellite backscatter data acquired previously, will result in differences in retrieved wind fields. The Jet Propulsion Laboratory airborne Ku-band NUSCAT scatterometer was used to obtain an extensive data set over a wide range of wind conditions to provide a more accurate study of ocean radar backscatter signatures. Backscatter was measured during the Surface Wave Dynamics Experiment in an oceanic area off the US east coast. Backscatter data were obtained for both horizontal and vertical polarizations, incidence angles from 100 to 600, and wind speeds up to 15 m s-1. The measured results are compared with calculated values to assess the existing geophysical model functions for applications to ocean surface wind retrieval
Keywords
atmospheric boundary layer; atmospheric techniques; backscatter; electromagnetic wave polarisation; electromagnetic wave scattering; geophysical signal processing; radar cross-sections; radar signal processing; remote sensing by radar; wind; Ku-band NUSCAT scatterometer; Ku-band ocean backscatter functions; Surface Wave Dynamics Experiment; backscatter; ocean radar backscatter; ocean surface wind retrieval; polarizations; retrieval algorithm; scatterometer techniques; surface wind retrieval; Aircraft propulsion; Backscatter; Geophysical measurements; Information retrieval; Oceans; Particle measurements; Radar measurements; Satellites; Sea measurements; Sea surface;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location
Lincoln, NE
Print_ISBN
0-7803-3068-4
Type
conf
DOI
10.1109/IGARSS.1996.516700
Filename
516700
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