• DocumentCode
    576040
  • Title

    A study on wind vector retrieval algorithm for rotating fan-beam scatterometer

  • Author

    Xie, Xuetong ; Huan, Shi ; Liu, Jianqiang ; Lang, Shuyan ; Zhang, Youguang ; Zhu, Di ; Chen, Kehai ; Zou, Juhong ; Huang, Zhou ; Tao, Weijun

  • Author_Institution
    Earthquake Eng. Res. Test Center, Guangzhou Univ., Guangzhou, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2047
  • Lastpage
    2050
  • Abstract
    Rotating fan-beam scatterometer (RFSCAT) is a new type of satellite scatterometer that was proposed about one decade ago.However, just as other rotating scatterometers, relatively larger wind retrieval errors occur in the nadir and outer regions than in the middle regions of the swath. In order to address this problem, a modified wind vector retrieval algorithm for RFSCAT is presented in this paper. The new algorithm is featured with adaptively extending the range of wind direction for each wind vector cell position across the whole swath according to the distribution histogram of the retrieved wind direction bias. Simulation experiments demonstrated that the new established algorithm can effectively improve the wind direction retrieval accuracy in the nadir and outer regions of the RFSCAT swath.
  • Keywords
    atmospheric techniques; geophysical signal processing; remote sensing; statistical distributions; wind; RFSCAT; distribution histogram; rotating fan-beam scatterometer; satellite scatterometer; wind direction; wind vector cell position; wind vector retrieval algorithm; Accuracy; Data models; Histograms; Radar measurements; Software algorithms; Spaceborne radar; Vectors; Rotating fan-beam scatterometer; distribution histogram of bias; objective function; wind direction extension; 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.2012.6350972
  • Filename
    6350972