• DocumentCode
    1611029
  • Title

    Combining a rain microphysical model and observations: Implications for radar rainfall estimation

  • Author

    Prat, Olivier P. ; Barros, Ana P.

  • Author_Institution
    Civil & Environ. Dept., Duke Univ., Durham, NC
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A bin-model was used to characterize the signature of dynamical microphysical processes on Z-R relationships used for radar rainfall estimation. The sensitivity analysis performed shows that coalescence is the dominant microphysical process for low to moderate rain intensity regimes (R < 20 mm h-1), and that rain rate in this regime is strongly dependent on the spectral properties of the DSD (i.e. the shape). For high intensity rainfall (R > 20 mm h-1), collision-breakup dynamics dominate the evolution of the raindrop spectra. Analysis of the time-dependent Z-R relationships produced by the model suggests convergence to a universal Z-R relationship for heavy intensity rainfall. Conversely, the model results show that Z-R relationships severely underestimate reflectivity in the light rainfall regime.
  • Keywords
    drops; meteorological radar; rain; remote sensing by radar; DSD spectral properties; bin-model; collision-breakup dynamics; dynamical microphysical processes; heavy intensity rainfall; light rainfall regime; moderate rain intensity; radar rainfall estimation; rain microphysical model; rain rate; raindrop spectra; time-dependent Z-R relationships; Boundary conditions; Computational modeling; Meteorological radar; Meteorology; Radar measurements; Rain; Reflectivity; Sensitivity analysis; Tropical cyclones; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2009 IEEE
  • Conference_Location
    Pasadena, CA
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-2870-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2009.4977122
  • Filename
    4977122