• DocumentCode
    1370604
  • Title

    Raindrop axis ratios and size distributions in Florida rainshafts: an assessment of multiparameter radar algorithms

  • Author

    Bringi, V.N. ; Chandrasekar, V. ; Xiao, Rongrui

  • Author_Institution
    Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA
  • Volume
    36
  • Issue
    3
  • fYear
    1998
  • fDate
    5/1/1998 12:00:00 AM
  • Firstpage
    703
  • Lastpage
    715
  • Abstract
    Eleven penetrations of rainshafts by the University of Wyoming King Air (WKA) aircraft equipped with a two-dimensional (2D) optical array probe are studied in coordination with multiparameter radar measurements from the National Center for Atmospheric Research (NCAR) CP-2 radar collected in a multicellular storm that occurred on August 8, 1991, of the Convective and Precipitation/Electrification (CaPE) experiment. A comparison is made between the mass-weighted mean diameter (Dm) and rainrate (R) computed from the nine-size spectra and their estimates from multiparameter radar algorithms based on Zdr , and Zh. It was found that Dm could be estimated with a mean bias of 0.07 mm and a standard deviation of 0.35 mm. Rainrates (in the range of 10-60 mmh-1) could be estimated from Zh, and Zdr with a mean bias of 1-4% and fractional standard error (FSE) of 30-40% depending on the estimator used. Raindrop axis ratios are analyzed as a function of volume equivalent spherical diameter (Deq) in the range 2-6 mm. The mean axis ratio versus the Deq relationship was found to be consistent with previous data from the High Plains (from Colorado and Montana). A study of fluctuations of axis ratio (about their mean value) showed that most drops have axis ratios close to their mean values with oscillation amplitudes to be typically ±10% in axis ratio, again consistent with the earlier High Plains results
  • Keywords
    atmospheric techniques; meteorological radar; rain; remote sensing by radar; storms; AD 1991 08 08; Florida; atmosphere; mass-weighted mean diameter; measurement technique; multicellular storm; multiparameter radar algorithm; oscillation amplitude; radar remote sensing; rain; rain drop; raindrop axis ratio; rainrate; rainshaft; size distribution; Airborne radar; Aircraft; Fluctuations; Laser radar; Optical arrays; Probes; Radar measurements; Sea measurements; Shape measurement; Storms;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.673663
  • Filename
    673663