• DocumentCode
    2165551
  • Title

    Is it better to assimilate the Doppler radar radial velocity directly than retrieved winds with Ensemble Kalman Filter?

  • Author

    Yang, Yi ; Zhang, Xuanze ; Wen, Deyao ; Wang, Zhenghu ; Shao, Aimei

  • Author_Institution
    Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    3801
  • Lastpage
    3804
  • Abstract
    The comparison of two methods of assimilating Doppler radar wind data with Ensemble Kalman Filter (EnKF) based WRF model is presented. One is to assimilate simulated radar radial velocity observations directly. The other is to assimilate the horizontal winds retrieved from Doppler radar Data. Result shows that the second method which assimilated retrieved winds with small retrieval error gives better analysis than the first method does.
  • Keywords
    Data assimilation; Data models; Doppler radar; Kalman filters; Mathematical model; Predictive models; Assimilation; Doppler radar; Ensemble Kalman Filter (EnKF); Radial Velocity; Retrieve;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5691924
  • Filename
    5691924