• DocumentCode
    762493
  • Title

    An empirical model of EM scattering from steepening wave profiles derived from numerical computations

  • Author

    Lamont-Smith, T.

  • Author_Institution
    QinetiQ, Malvern, UK
  • Volume
    41
  • Issue
    6
  • fYear
    2003
  • fDate
    6/1/2003 12:00:00 AM
  • Firstpage
    1447
  • Lastpage
    1454
  • Abstract
    The variation in scattered power from steepening wave profiles, as functions of radar frequency and bistatic grazing angles, has been investigated using a hydrodynamic code called CHY and a version of the forward-backward (FB) electromagnetic scattering code. A comparison of the frequency response of the FB numerical results with radar data showed excellent agreement and has indicated that the lateral coherence of a breaking wave is around one third of the water wavelength. A simple empirically derived model based on the height spectrum of the surface has been shown to capture almost all the important trends in the scattering, including the Doppler velocities, but with the exception of the effect of multipath. The Doppler spectrum of the steepening wave was found to be well modeled by a Lorentzian lineshape with different spectral widths for vertical-vertical and horizontal-horizontal polarization.
  • Keywords
    Doppler radar; electromagnetic wave scattering; ocean waves; radar polarimetry; radar theory; remote sensing by radar; Doppler velocities; EM scattering; Lorentzian lineshape; bistatic grazing angles; breaking wave; empirical model; forward-backward electromagnetic scattering code; frequency response; height spectrum; horizontal-horizontal polarization; hydrodynamic code CHY; lateral coherence; radar data; radar frequency; sea surface; steepening wave profiles; vertical-vertical polarization; Backscatter; Electromagnetic scattering; Electromagnetic wave polarization; Frequency; Hydrodynamics; Integral equations; Radar cross section; Radar remote sensing; Radar scattering; Sea surface;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2003.811551
  • Filename
    1220253