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contributor authorGraziano, Thomas M.
contributor authorCarlson, Toby N.
date accessioned2017-06-09T14:40:25Z
date available2017-06-09T14:40:25Z
date copyright1987/06/01
date issued1987
identifier issn0882-8156
identifier otherams-2418.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4160823
description abstractA statistical analysis of the effects of lower-tropospheric inversions (called lids) on deep convection was made using a ?logistic? model and reports of deep convection for a six month period over the central two-thirds of the United States during 1982. Observations consist of radar echo intensity, radar echo height and direct reports of severe storm sightings or damage. We find that both the lid strength and buoyancy (lifted index) effects need to be considered jointly. Lid strength appears to exhibit an effective cutoff value, above which deep convection becomes relatively unlikely, even for unstable values of the buoyancy term. On the other hand, deep convection is unlikely for stable buoyancy values. Further, for a given value of buoyancy the probability of severe convection increases with increasing lid strength, although the total probability of deep convection diminished with increasing lid strength. This result seems to support the idea that the lid allows high values of ?w to form near the surface and that a favorable location for the release of the latent instability is along the lateral boundary of the lid. The primary value in examining both buoyancy and lid strength separately is that the method helps to eliminate large areas from consideration by the forecaster where the air near the surface is latently unstable but unlikely to produce deep convection due to the presence of a lid.
publisherAmerican Meteorological Society
titleA Statistical Evaluation of Lid Strength on Deep Convection
typeJournal Paper
journal volume2
journal issue2
journal titleWeather and Forecasting
identifier doi10.1175/1520-0434(1987)002<0127:ASEOLS>2.0.CO;2
journal fristpage127
journal lastpage139
treeWeather and Forecasting:;1987:;volume( 002 ):;issue: 002
contenttypeFulltext


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