Characterization of rain microphysics based on disdrometer and Polarimetric radar observations

  • Qing Cao
  • , Guifu Zhang
  • , Edward Brandes
  • , Kyoko Ikeda
  • , Terry Schuur
  • , Alexander Ryzhkov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Characterization of rain microphysics requires information on raindrop size distributions (DSDs). DSD measurements and retrievals, however, contain errors. In this paper, data from side-by-side disdrometer comparisons are presented to provide information that is not possible from single disdrometer measurements alone, allowing error effects to be quantified and a rain DSD model for radar retrieval to be improved. We also propose methods to mitigate sampling errors by filtering with sorting and averaging and by fitting to a Gamma DSD model with truncation and extrapolation. The Constrained-Gamma DSD model has thus been refined for the Southern Great Plains region of the United States.

Original languageEnglish
Title of host publication2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Pages523-528
Number of pages6
DOIs
StatePublished - 2006
Externally publishedYes
Event2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS - Denver, CO, United States
Duration: Jul 31 2006Aug 4 2006

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Country/TerritoryUnited States
CityDenver, CO
Period07/31/0608/4/06

Keywords

  • Disdrometer
  • Drop size distribution
  • Fitting
  • Radar retrieval
  • Sampling error

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