• DocumentCode
    36027
  • Title

    Aquarius Wind Speed Products: Algorithms and Validation

  • Author

    Fore, Alexander G. ; Yueh, Simon H. ; Wenqing Tang ; Hayashi, Akiko K. ; Lagerloef, G.S.E.

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    52
  • Issue
    5
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    2920
  • Lastpage
    2927
  • Abstract
    This paper introduces and validates the Aquarius scatterometer-only wind speed algorithm and the combined active passive (CAP) wind speed products. The scatterometer-only algorithm uses the co-polarized radar cross-section to determine the ocean surface wind speed with a maximum-likelihood estimator approach while the CAP algorithm uses both the scatterometer and radiometer channels to achieve a simultaneous ocean vector wind and sea surface salinity retrieval. We discuss complications in the speed retrieval due to the shape of the scatterometer model function at L-band and develop mitigation strategies. We find the performance of the Aquarius scatterometer-only wind speed is better than 1.00 ms-1, with best performance for low wind speeds and increasing noise levels as the wind speed increases. The CAP wind speed product is significantly better than the scatterometer-only due to the inclusion of passive measurements and achieves 0.70 ms-1 root-mean-square error.
  • Keywords
    atmospheric techniques; remote sensing by radar; wind; Aquarius scatterometer-only wind speed algorithm; Aquarius wind speed products; CAP wind speed product; L-band; co-polarized radar cross-section; combined active passive wind speed products; maximum-likelihood estimator; ocean surface wind speed; ocean vector wind; passive measurements; radiometer channel; root-mean-square error; scatterometer channel; scatterometer model function; sea surface salinity retrieval; L-band; Radar measurements; Rough surfaces; Sea surface; Spaceborne radar; Wind speed; Aquarius; ocean winds; radar; remote sensing; scatterometery;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2013.2267616
  • Filename
    6558524