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contributor authorThompson, Gregory
contributor authorBullock, Randy
contributor authorLee, Thomas F.
date accessioned2017-06-09T14:52:54Z
date available2017-06-09T14:52:54Z
date copyright1997/03/01
date issued1997
identifier issn0882-8156
identifier otherams-2883.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4165989
description abstractOverprediction of the spatial extent of aircraft icing is a major problem in forecaster products based on numerical model output. Dependence on relative humidity fields, which are inherently broad and smooth, is the cause of this difficulty. Using multispectral satellite analysis based on NOAA Advanced Very High Resolution Radiometer data, this paper shows how the spatial extent of icing potential based on model output can be reduced where there are no subfreezing cloud tops and, therefore, where icing is unlikely. Fifty-one cases were analyzed using two scenarios: 1) model output only and 2) model output screened by a satellite cloud analysis. Average area efficiency, a statistical validation measure of icing potential using coincident pilot reports of icing, improved substantially when satellite screening was applied.
publisherAmerican Meteorological Society
titleUsing Satellite Data to Reduce Spatial Extent of Diagnosed Icing
typeJournal Paper
journal volume12
journal issue1
journal titleWeather and Forecasting
identifier doi10.1175/1520-0434(1997)012<0185:USDTRS>2.0.CO;2
journal fristpage185
journal lastpage190
treeWeather and Forecasting:;1997:;volume( 012 ):;issue: 001
contenttypeFulltext


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