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
Link To Document :
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