• DocumentCode
    576004
  • Title

    A wind direction extension based algorithm for scatterometer wind vector retrieval

  • Author

    Xie, Xuetong ; Lin, Mingsen ; Chen, Kehai ; Huang, Zhou ; Liu, Lixia ; Tian, Dongxuan ; Wang, Xiaoning ; Chen, Wenxin ; He, Rongrong ; Zou, Juhong

  • Author_Institution
    Earthquake Eng. Res. Test Center, Guangzhou Univ., Guangzhou, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2821
  • Lastpage
    2824
  • Abstract
    According to the lower efficiency and larger wind direction errors in the nadir region of the swath, a new combined wind retrieval algorithm is proposed for conically scanning scatterometer in this paper. The presented algorithm has the dual advantages of both higher efficiency and higher wind direction retrieval accuracy by combining the wind speed standard deviation algorithm and the wind direction interval retrieval(DIR) algorithm. It adopts wind speed standard deviation as criterion for searching possible wind vector solutions and retrieves potential wind direction interval for the first and second ambiguities based on the change rate of the wind speed standard deviation. Some SeaWinds L2A data and collocated buoy data were used to validate the algorithm. Retrieval experiments indicated that the algorithm can significantly reduce the wind direction retrieval errors in the nadir region.
  • Keywords
    atmospheric techniques; geophysical signal processing; remote sensing; wind; SeaWinds L2A data; buoy data; conically scanning scatterometer; nadir region; scatterometer wind vector retrieval; wind direction extension based algorithm; wind direction interval retrieval; wind direction retrieval error; wind retrieval algorithm; wind speed standard deviation algorithm; Algorithm design and analysis; Radar measurements; Spaceborne radar; Standards; Vectors; Wind speed; Conically scanning scatterometer; wind direction extension; wind speed standard deviation; wind vector retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350845
  • Filename
    6350845