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contributor authorLapenta, Kenneth D.
contributor authorMcNaught, Barbara J.
contributor authorCapriola, Steven J.
contributor authorGiordano, Louis A.
contributor authorLittle, Charles D.
contributor authorHrebenach, Stephen D.
contributor authorCarter, Gary M.
contributor authorValverde, Mario D.
contributor authorFrey, Derek S.
date accessioned2017-06-09T14:49:53Z
date available2017-06-09T14:49:53Z
date copyright1995/03/01
date issued1995
identifier issn0882-8156
identifier otherams-2774.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4164778
description abstractHeavy rain and flooding are of particular concern to forecasters throughout the eastern and southeastern United States. In this paper, the unique combination of synoptic-scale and mesoscale weather conditions and topographic factors that contribute to and enhance convectively produced flash flooding and river flooding are described and categorized. A classification system for synoptic-scale flooding events is developed, which is then used to identify the distribution (by month and synoptic-scale weather system) of major floods in the region of interest. Also, examples of flooding caused by synoptic-scale weather systems are presented. Characteristics of mesoscale heavy-rain events that result in flooding are discussed. Topographical and geographical factors in the region, which play a role in these events, are described, along with examples of mesoscale, flash flood events. Finally, floods produced by warm-top thunderstorms, which pose a unique and challenging forecast problem throughout the east and southeast, are described and an example is provided.
publisherAmerican Meteorological Society
titleThe Challenge of Forecasting Heavy Rain and Flooding throughout the Eastern Region of the National Weather Service. Part I: Characteristics and Events
typeJournal Paper
journal volume10
journal issue1
journal titleWeather and Forecasting
identifier doi10.1175/1520-0434(1995)010<0078:TCOFHR>2.0.CO;2
journal fristpage78
journal lastpage90
treeWeather and Forecasting:;1995:;volume( 010 ):;issue: 001
contenttypeFulltext


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