• DocumentCode
    1152595
  • Title

    An Inversion Method for Extraction of Wind Speed From High-Frequency Ground-Wave Radar Oceanic Backscatter

  • Author

    Green, David ; Gill, Eric ; Huang, Weimin

  • Author_Institution
    C-CORE, St. John´´s, NL, Canada
  • Volume
    47
  • Issue
    10
  • fYear
    2009
  • Firstpage
    3338
  • Lastpage
    3346
  • Abstract
    A new approach to extracting sea surface wind speed from high-frequency radar Doppler spectra is presented. Based on certain appropriate approximations associated with the Doppler region close to the first-order (Bragg) peaks, the second-order radar cross section equation is differentiated. Once Doppler shifts due to ocean currents are removed from the data, an expression that relates the wind speed to the frequency position of the second-order peak is derived. The method is applied to simulated noisy data as well as to field data obtained from a Seasonde (a product of CODAR Oceans Sensors) in Breezy Point, NY. In the latter case, the retrieved wind speeds are then compared to ground truth data measured by an anemometer from a National Oceanic and Atmospheric Administration weather station located in the vicinity of the illuminated patch of ocean. Subject to certain constraints as detailed in the manuscript, the algorithm shows significant promise.
  • Keywords
    Doppler radar; Doppler shift; HF radio propagation; anemometers; atmospheric techniques; backscatter; feature extraction; radar cross-sections; remote sensing by radar; wind; Breezy Point; Doppler shifts; Doppler spectra; New York; Seasonde; USA; anemometer; ground truth data; high-frequency ground-wave radar; inversion method; ocean currents; oceanic backscatter; radar cross section equation; sea surface wind speed; wind speed extraction; Doppler spectrum; high-frequency (HF) ground-wave radar; wind speed;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2009.2022944
  • Filename
    5175393