• DocumentCode
    3346909
  • Title

    The relationship between radar cross section and surface wind in two oceanic regions: ERS-1 scatterometer and buoy measurements

  • Author

    Rufenach, Clifford L.

  • Author_Institution
    Colorado Univ., Boulder, CO, USA
  • Volume
    3
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    1633
  • Abstract
    A wind vector retrieval algorithm is developed and validated using the ERS-1 scatterometer and collocated buoy measurements in two oceanic regions during 1992 and 1993. This algorithm, denoted RBT, and the ESA delivered winds are compared. The wind speed is retrieved from near 0.1 m/s to 18 m/s overestimating the lowest winds by about 0.4 m/s using the RBT algorithm; whereas the ESA algorithm is restricted to U>2 m/s. Existing algorithms consistently retrieve 180° ambiguities in wind direction about as often as the true directions. These ambiguities are caused by a small and variable upwind/downwind modulation inherent in the C-band vertically polarized backscatter. The wind speed and direction variability are similar for both algorithms; a rms deviation near 1.2 m/s and 25° provided the directional ambiguities are removed
  • Keywords
    atmospheric boundary layer; atmospheric techniques; backscatter; meteorological radar; radar cross-sections; radar polarimetry; remote sensing by radar; spaceborne radar; wind; C-band; ERS-1 scatterometer; RBT; backscatter; boundary layer; buoy measurement; direction; marine atmosphere; measurement technique; meteorological radar; meteorology; microwave radar polarimetry; polarized backscatter; radar cross section; radar scattering; retrieval algorithm; satellite remote sensing; wind speed; wind vector; Antenna measurements; Oceans; Radar cross section; Radar measurements; Radar scattering; Sea measurements; Sea surface; Time measurement; Velocity measurement; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.523981
  • Filename
    523981