• DocumentCode
    1469586
  • Title

    A method for estimating rain rate and drop size distribution from polarimetric radar measurements

  • Author

    Zhang, Guifu ; Vivekanandan, J. ; Brandes, Edward

  • Author_Institution
    Nat. Center for Atmos. Res., Boulder, CO, USA
  • Volume
    39
  • Issue
    4
  • fYear
    2001
  • fDate
    4/1/2001 12:00:00 AM
  • Firstpage
    830
  • Lastpage
    841
  • Abstract
    Polarimetric radar measurements are sensitive to the size, shape and orientation of raindrops and provide information about drop size distribution (DSD), canting angle distribution and rain rate. The authors propose and demonstrate a method for retrieving DSD parameters for calculating rain rate and the characteristic particle size. The DSD is assumed to be a gamma distribution and the governing parameters are retrieved from radar measurements: reflectivity (ZHH), differential reflectivity (ZDR), and a constrained relation between the shape (CL) and slope (Λ) parameters derived from video disdrometer observations. The estimated rain rate is compared with that obtained from more traditional methods and the calculated characteristic size is compared with the measured values. The calculated KDP based on the retrieved Gamma DSD is also compared with measurements. The proposed method shows improvement over the existing models and techniques because it can retrieve all three parameters of the gamma distribution. For maintaining the continuity of earlier published results, raindrop shape is assumed to be equilibrium
  • Keywords
    atmospheric techniques; meteorological radar; radar polarimetry; rain; remote sensing by radar; atmosphere; characteristic particle size; drop size distribution; measurement technique; meteorological radar; polarimetric radar; radar polarimetry; radar remote sensing; rain rate; Exponential distribution; Meteorological radar; Meteorology; Phase measurement; Radar measurements; Radar polarimetry; Rain; Reflectivity; Shape measurement; Size measurement;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.917906
  • Filename
    917906