Bulletin of the American Meteorological Society · 1999 · 375 citations · 25 references
Natural SciencesEarth SciencesMeteorologyHydrometeorologyPhysical MeteorologyRemote SensingHydrometeor ClassificationPolar MeteorologyPolar Remote SensingPrecipitationRadar Signal ProcessingRainfall MeasurementHail DiscriminationPolarimetric Radar SignaturesPolarimetryQuantitative Precipitation EstimationRadar Polarimetric SignaturesRadar PolarimetryRadar-based Hydrometeor ClassificationWinter Storms
Success in rainfall measurements is attributed to the unique properties of differential phase. This paper overviews weather radar polarimetry with a focus on surveillance applications. The authors illustrate how different polarimetric variables reveal signatures of various precipitation and storm phenomena. Polarimetry can improve precipitation quantification, distinguish hail from rain and other hydrometeors, detect winter storms and electrical activity, and separate biological scatterers, as demonstrated in a hailstorm case.
This paper is an overview of weather radar polarimetry emphasizing surveillance applications. The following potential benefits to operations are identified: improvement of quantitative precipitation measurements, discrimination of hail from rain with possible determination of sizes, identification of precipitation in winter storms, identification of electrically active storms, and distinction of biological scatterers (birds vs insects). Success in rainfall measurements is attributed to unique properties of differential phase. Referrals to fields of various polarimetric variables illustrate the signatures associated with different phenomena. It is argued that classifying hydrometeors is a necessary step prior to proper quantification of the water substance. The promise of polarimetry to accomplish classification is illustrated with an application to a hailstorm.
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Fuzzy logic systems for engineering: a tutorial
Jerry M. Mendel · Proceedings of the IEEE · 1995 · 2.1K citations