Use of polarization data in the operational identification of hydrometeor of hydrometeor and non-hydrometeor targets

Yidi Liu, J. William Conway, Edward A. Brandes, Alexander V. Ryzhkov, Jothram Vivekanandan, Dusan S. Zrnic, Richard Oye

Research output: AbstractPaperpeer-review

Abstract

A prototype Particle Identification and Discrimination Algorithm (PIDA) has been developed. The algorithm uses polarization data and fuzzy logic membership functions to infer meteorological and non-meteorological hydrometeors. PIDA has been examined in real-time on the NCAR S-POL radar during the TRMM/TEFLUN data collection effort in central Florida.

Original languageEnglish
Pages192-194
Number of pages3
StatePublished - 1999
EventProceedings of the 1999 29th International Conference on Radar Meteorology - Montreal, Que., Can
Duration: Jul 12 1999Jul 16 1999

Conference

ConferenceProceedings of the 1999 29th International Conference on Radar Meteorology
CityMontreal, Que., Can
Period07/12/9907/16/99

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