Hydrometeor classification system using dual-polarization radar measurements: model improvements and in situ verification

A hydrometeor classification system based on a fuzzy logic technique using dual-polarization radar measurements of precipitation is presented. In this study, five dual-polarization radar measurements (namely horizontal reflectivity, differential reflectivity, specific differential phase, correlation...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2005-04, Vol.43 (4), p.792-801
Hauptverfasser:	Lim, S., Chandrasekar, V., Bringi, V.N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Additives Atmospheric modeling Categories Classification Colorado State University CHILL (CSU-CHILL) radar Depolarization dual-polarization radar measurements Fuzzy logic hydrometeor classification Hydrometeors Input variables Mathematical models Precipitation Radar detection Radar measurement Radar measurements Rain Reflectivity Severe Thunderstorm Electrification and Precipitation Study (STEPS) Shape measurement Storms
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