• DocumentCode
    297734
  • Title

    Polarimetric method for ice water content determination

  • Author

    Ryzhkov, Alexander V. ; Zrnic, Dusan S.

  • Author_Institution
    Cooperative Inst. for Mesoscale Meteorol. Studies, Oklahoma Univ., Norman, OK, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    557
  • Abstract
    There have been a number of studies to estimate ice water content (IWC) of snow clouds using the radar reflectivity factor, Z. All of these studies show extreme variability in the IWC-Z relations, which appear to change from day to day and cloud to cloud. High diversity in the IWC-Z relations is primarily due to the fact that reflectivity factor is proportional to the product of IWC and average mass of ice hydrometeors; therefore at least one more independent measurement is needed to resolve this ambiguity. Since ice and snow hydrometeors are nonspherical the use of polarimetry is a natural way for estimation of bulk properties of snow clouds and precipitation. In this paper the authors develop a radar polarimetric model of a cloud of ice hydrometeors and obtain a polarimetric relation for computing TWC. They account for the diversity of crystal shape and the dependence of shape and density of scatterers on their size. Finally, they use polarimetric data from four Oklahoma snowstorms to check the consistency of the IWC estimates (obtained from the proposed polarimetric algorithm) with those derived using conventional IWC-Z relations
  • Keywords
    atmospheric techniques; backscatter; clouds; meteorological radar; radar cross-sections; radar polarimetry; remote sensing by radar; atmosphere; backscatter; cloud; crystal shape diversity; ice hydrometeors; ice water content determination; measurement technique; meteorological radar; microphysics; model; polarization; radar polarimetry; radar reflectivity factor; radar remote sensing; radar scattering; snow cloud; Clouds; Crystals; Ice; Particle scattering; Radar scattering; Rayleigh scattering; Reflectivity; Shape; Snow; Solids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516402
  • Filename
    516402