• DocumentCode
    298062
  • Title

    Geophysical modeling error in wind scatterometry

  • Author

    Johnson, Paul E. ; Long, David G. ; Oliphant, Travis E.

  • Author_Institution
    Brigham Young Univ., Provo, UT, USA
  • Volume
    3
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    1721
  • Abstract
    Scatterometer wind retrieval is based on the relationship between the wind over the ocean and the resulting scattering cross section of the surface; this relationship, termed the “geophysical model function”, maps the wind speed, relative wind direction (relative to the antenna azimuth angle), antenna incidence angle, polarization and frequency band to the scattering cross section. The sea surface temperature, salinity, long waves, wind variability within a scatterometer footprint, etc., lend variability to the backscatter. A particular observation of the wind-dependent backscatter can be viewed as a random variable with mean given by the geophysical model function and variability due to unmodelled effects and measurement errors. Little is known about the variability due to unmodelled effects, or the statistics of this variability; this paper presents some considerations and simulations to estimate the magnitude of the model function error
  • Keywords
    atmospheric boundary layer; atmospheric techniques; backscatter; electromagnetic wave scattering; geophysical signal processing; radar cross-sections; radar signal processing; remote sensing by radar; wind; ADROS-II; ERS-1; ERS-2; Sea Winds; geophysical model function; geophysical modeling error; long waves; random variable; relative wind direction; salinity; scattering cross section; scatterometer wind retrieval; sea surface temperature; wind scatterometry; wind speed; wind-dependent backscatter; Azimuth; Backscatter; Directive antennas; Frequency; Ocean temperature; Polarization; Radar measurements; Scattering; Sea surface; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516780
  • Filename
    516780