• DocumentCode
    2224894
  • Title

    Dual-polarized X-band radar detection and estimation of hydrometeor microphysical parameters

  • Author

    Botta, Giovanni ; Ioncoli, Angelo ; Montopoli, Mario ; Marzano, Frank S.

  • Author_Institution
    DIE, Sapienza Univ. of Rome, Rome, Italy
  • fYear
    2009
  • fDate
    Sept. 30 2009-Oct. 2 2009
  • Firstpage
    521
  • Lastpage
    524
  • Abstract
    An original hydrometeor classification technique (BRAHC), based on the Bayesian theory, coupled with a variational final-value (VarFV) path-attenuation correction and water content estimation techniques at S- and X-bands, is developed. The main feature of this combined approach is the capability to deal with hydrometeor heterogeneity along each radar ray in a physically-consistent way. Using SPOL and XPOL radar data collected during the IHOP campaign in 2002, a comparison between the results obtained at the 2 different frequency bands is discussed, showing some potentials and limitations of the X-band radar precipitation retrieval. The latter are mainly related to the reduced detectability of the precipitation signal in presence of strong path attenuation through the storm cores.
  • Keywords
    Bayes methods; meteorological radar; radar detection; Bayesian theory; X-band radar precipitation; dual-polarized X-band radar detection; hydrometeor classification technique; hydrometeor microphysical parameter; variational final-value path-attenuation correction; water content estimation technique; Attenuation; Bayesian methods; Data processing; Frequency; Radar detection; Radar polarimetry; Radar theory; Rain; Reflectivity; Snow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2009. EuRAD 2009. European
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4244-4747-3
  • Type

    conf

  • Filename
    5307126