• DocumentCode
    124835
  • Title

    Improvements in an anisotropic ocean surface emissivity model based on WindSat polarimetric brightness observations

  • Author

    Smith, Dean F. ; Gasiewski, Albin J.

  • Author_Institution
    Dept. of ECEE, Univ. of Colorado, Boulder, CO, USA
  • fYear
    2014
  • fDate
    8-11 Jan. 2014
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    The goal of this research has been to develop a standardized fast full-Stokes ocean surface emissivity model with Jacobian for a wind-driven ocean surface applicable at arbitrary microwave frequencies, polarizations, and incidence angles. The model is based on the Ohio State University (OSU) two-scale code for surface emission developed by Johnson (2006, IEEE TGRS, 44, 560) as presented in our 2013 URSI talk. A total of five physical tuning parameters were identified, including the spectral strength and the hydrodynamic modulation factor. The short wave part of the spectrum is also allowed to have an arbitrary ratio relative to the long wave part. The foam fraction is multiplied by a variable correction factor, and also modulated to allow an anisotropic foam fraction with more foam on the leeward side of a wave.
  • Keywords
    ocean waves; polarimetry; spectral analysis; wind; Jacobian; OSU two-scale code; Ohio State University; WindSat polarimetric brightness observations; anisotropic foam fraction; anisotropic ocean surface emissivity model; arbitrary microwave frequencies; correction factor; hydrodynamic modulation factor; incidence angle; physical tuning parameters; polarizations; spectral strength; standardized fast full-Stokes ocean surface emissivity model; surface emission; wave leeward side; wind-driven ocean surface; Brightness; Data models; Educational institutions; Mathematical model; Sea surface; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio Science Meeting (USNC-URSI NRSM), 2014 United States National Committee of URSI National
  • Conference_Location
    Boulder, CO
  • Print_ISBN
    978-1-4799-3119-4
  • Type

    conf

  • DOI
    10.1109/USNC-URSI-NRSM.2014.6928052
  • Filename
    6928052