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contributor authorEdwards, Roger
contributor authorThompson, Richard L.
date accessioned2017-06-09T14:54:52Z
date available2017-06-09T14:54:52Z
date copyright1998/06/01
date issued1998
identifier issn0882-8156
identifier otherams-2955.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4166789
description abstractThis study tests hypothetical correspondences between size of severe hail, WSR-88D derived vertically integrated liquid water (VIL), and an array of thermodynamic variables derived from computationally modified sounding analyses. In addition, these associations are documented for normalized VIL using various sounding parameters, and statistical predictive value is assigned to the various VIL-based and sounding variables. The database was gathered from Weather Service Radar-1988 Doppler (WSR-88D) units nationwide from cases identified during real-time operations and consists of over 400 hail events, each associated with a radar-observed VIL value and a modified observational sounding. Some parameters are found to increase in the mean with larger hail-size categories. Specific hail size, however, varies widely across the spectra of VIL, thermodynamic sounding variables, and combinations thereof, with only a few exceptions. No operationally useful parameters of value in hail-size prediction were discovered in the database of VIL and thermodynamic sounding data. These largely antihypothetical findings are compared with hail forecasting and warning techniques developed in the WSR-88D era?few in number and mostly regionalized and informal in nature?and with more widespread and empirical forecasting assumptions involving many of the same variables.
publisherAmerican Meteorological Society
titleNationwide Comparisons of Hail Size with WSR-88D Vertically Integrated Liquid Water and Derived Thermodynamic Sounding Data
typeJournal Paper
journal volume13
journal issue2
journal titleWeather and Forecasting
identifier doi10.1175/1520-0434(1998)013<0277:NCOHSW>2.0.CO;2
journal fristpage277
journal lastpage285
treeWeather and Forecasting:;1998:;volume( 013 ):;issue: 002
contenttypeFulltext


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