• DocumentCode
    2675928
  • Title

    A novel method for estimating offshore wind fields using synthetic aperture radar and meteorological model data

  • Author

    Cameron, Iain D. ; Woodhouse, Iain H. ; Walker, Nick

  • Author_Institution
    Univ. of Edinburgh Edinburgh, Edinburgh
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    3273
  • Lastpage
    3276
  • Abstract
    Synthetic aperture radar (SAR) provides a promising method for offshore wind field estimation, particularly in the context of important for offshore wind farm development. This paper introduces an iterative maximum aposteriori probability (MAP) method for combining meteorological model output with synthetic aperture radar for offshore wind field estimation. The MAP approach is demonstrated for 40 ENVISAT ASAR scenes collected for 2004-2006 over the UK Irish Sea. Both the CMOD4 and CMOD5 geophysical model functions are implemented and retrievals using MAP and a simpler direction based windspeed algorithm are validated against insitu mast observations. The CMOD5 MAP algorithm in particular shows promising results with an estimates on average within 2 observations.
  • Keywords
    atmospheric techniques; data assimilation; iterative methods; maximum likelihood estimation; remote sensing by radar; synthetic aperture radar; wind; wind power; AD 2004 to 2006; CMOD4 geophysical model function; CMOD5 geophysical model function; ENVISAT ASAR data; UK Irish sea; iterative MAP method; maximum aposteriori probability; meteorological model data; offshore wind farm development; offshore wind field estimation; synthetic aperture radar; Backscatter; Information retrieval; Iterative methods; Layout; Meteorology; Radar scattering; Sea surface; Synthetic aperture radar; Wind farms; Wind speed; Maximum Aposteriori Probability; Offshore wind; SAR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423543
  • Filename
    4423543