DocumentCode
1165702
Title
A Ku-band laboratory experiment on the electromagnetic bias
Author
Branger, Hubert ; Ramamonjiarisoa, Alfred ; Bliven, Larry F.
Author_Institution
Inst. de Mecanique Stat. de la Turbulence, Marseille, France
Volume
31
Issue
6
fYear
1993
fDate
11/1/1993 12:00:00 AM
Firstpage
1165
Lastpage
1179
Abstract
A uniformly valid algorithm relating the normalized (or nondimensional) sea-surface electromagnetic (EM) bias to physical variables has not yet been established. Laboratory experiments are conducted to guide model development. Simultaneous and collocated measurements of surface topography and altimeter backscattered power are made in a wind-wave facility for a wide range of wind and mechanically generated wave conditions. A small microwave footprint on the water surface is produced by a focused-beam 13.5-GHz radar system that has a high signal-to-noise ratio. Specular facets are easily identifiable, and the data show that troughs are on average better reflectors than crests. The laboratory coefficients are considerably greater than those of in situ algorithms, and when the normalized EM bias is displayed as a function of wave height skewness or wave age, laboratory and field data converge into consistent trends. A two-parameter model is proposed using a nondimensional wave height, which is computed for local winds, and a significant slope, which is computed for nonlocally generated waves. Analysis of the laboratory data shows that the normalized EM bias for mixed conditions is well modeled as a product of these two parameters
Keywords
microwave reflectometry; ocean waves; radiowave propagation; remote sensing by radar; 13.5 GHz; Ku-band laboratory experiment; SHF; altimeter backscattered power; focused-beam 13.5-GHz radar system; mechanically generated waves; remote sensing; sea-surface EM bias; surface topography; wave age; wave crests; wave height; wave troughs; wind-wave facility; Electromagnetic measurements; High power microwave generation; Laboratories; Mechanical variables measurement; Power measurement; Power system modeling; Sea surface; Surface topography; Surface waves; Wind power generation;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.317446
Filename
317446
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