• DocumentCode
    2225509
  • Title

    Three Dimension Wind Retrieval of Single-Doppler Radar Data with Improved VVP Method

  • Author

    Wei, Ming ; Li, Nan

  • Author_Institution
    Key Lab. of Meteorol. Disaster of Minist. of Educ., Nanjing Univ. of Inf. Sci. &Technol., Nanjing, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    5276
  • Lastpage
    5278
  • Abstract
    Theoretically, three dimension (3D) wind field and the other kinematical parameters could be retrieved by the volume velocity processing (VVP) method using single-Doppler weather radar volume data. However, ever since the theory was brought forward, it has never been fully and truly applied to practice due to the large vertical speed error. This research has found that the ill coefficient matrix of the linear equations is the key obstacle in retrieving the vertical speed field and other parameters. Based on the numerical analysis theory, the feasible algorithm has also been studied as an attempt to solve the ill matrix problem in linear equations. Numerical experiments have also been conducted with single-Doppler radar data, and the retrieval results are verified with dual-Doppler radar data observed in HUBEX_IOP. The research results show that the better retrieval of three dimension wind field can be obtained with the improved VVP method. Especially, the retrieval of vertical speed is obviously much better than that of the previous studies, and consistent with the real vertical wind speed of severe weather.
  • Keywords
    Doppler radar; atmospheric techniques; numerical analysis; wind; HUBEX_IOP; VVP method; dual-Doppler radar data; ill coefficient matrix; linear equations; numerical analysis theory; single-Doppler weather radar volume data; three dimension wind field; three dimension wind retrieval; vertical speed error; vertical speed field; volume velocity processing method; Data engineering; Doppler radar; Equations; Information retrieval; Information science; Meteorological radar; Numerical analysis; Radar measurements; Radar remote sensing; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.1311
  • Filename
    5455236