• 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