DocumentCode
297745
Title
Optimization of a composite surface model for the radar backscattering cross section of the ocean surface as measured by wind scatterometers
Author
Romeiser, Roland
Author_Institution
Inst. of Oceanogr., Hamburg Univ., Germany
Volume
1
fYear
1996
fDate
27-31 May 1996
Firstpage
597
Abstract
A calibrated composite surface model for the calculation of absolute normalized radar backscattering cross sections (NRCS) of the ocean surface is presented. The model is based on a Taylor expansion of the NRCS, as given by Bragg scattering theory, up to second order in the surface slope. Measured NRCS values for a variety of radar frequencies, polarizations, incidence angles, azimuthal radar look directions, and wind speeds can be well reproduced after some reasonable tuning of the input ocean wave spectrum. The model can thus be considered as an advanced wind scatterometer model based on physical principles. Due to this fact it is also well suited for general applications like the calculation of NRCS variations associated with distortions of the wave spectrum in the presence of surface current gradients
Keywords
atmospheric techniques; backscatter; electromagnetic wave scattering; meteorological radar; oceanographic techniques; radar cross-sections; radar theory; remote sensing by radar; wind; Bragg scattering; Taylor expansion; absolute normalized radar backscattering; calibrated composite surface model; dynamics; measurement technique; ocean surface; radar backscattering cross section; radar remote sensing; radar scattering; radar scatterometry; sea surface; surface current gradient; wind scatterometer; Backscatter; Frequency measurement; Oceans; Radar cross section; Radar measurements; Radar scattering; Sea measurements; Sea surface; Taylor series; Velocity measurement;
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.1996.516414
Filename
516414
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