• DocumentCode
    1005428
  • Title

    Comparing Scatterometric and Radiometric Simulations With Geophysical Model Functions to Tune a Sea Wave Spectrum Model

  • Author

    Pierdicca, Nazzareno ; Pulvirenti, Luca

  • Author_Institution
    Dept. of Electron. Eng., Sapienza Univ. of Rome, Rome
  • Volume
    46
  • Issue
    11
  • fYear
    2008
  • Firstpage
    3756
  • Lastpage
    3767
  • Abstract
    A unified approach to simulate both microwave radiometric and scatterometric observations over a sea surface based on the two-scale electromagnetic scattering model has been implemented. The simulations have been compared with empirically derived geophysical model functions (GMFs) for the purpose of tuning the electromagnetic forward model and the embedded sea surface characterization and wave spectrum. The comparison has concerned a large number of wind speeds, frequencies, and observation angles for both the passive and active cases. Two widely adopted literature spectra have been used as benchmarks. A new expression for the hydrodynamic modulation function has been developed too. The proposed new spectrum has allowed us to reproduce both the passive and active GMFs´ behaviors fairly well, generally improving the agreement yielded by literature models, particularly for scatterometric simulations.
  • Keywords
    electromagnetic wave scattering; microwave propagation; ocean waves; radiometry; remote sensing by radar; wind; electromagnetic forward model; geophysical model functions; hydrodynamic modulation function; microwave radiometric observation; microwave scatterometric observation; sea surface characterization; sea wave spectrum model; two-scale electromagnetic scattering model; wind speeds; Electromagnetic modeling; Electromagnetic scattering; Frequency; Hydrodynamics; Microwave radiometry; Radar measurements; Sea surface; Surface waves; Tuning; Wind speed; Electromagnetic scattering; microwave radiometry; radar cross section; remote sensing; sea;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2008.922145
  • Filename
    4686024