Using satellite data to reduce spatial extent of diagnosed icing

Gregory Thompson, Randy Bullock, Thomas F. Lee

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Overprediction 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.

Original languageEnglish
Pages (from-to)185-190
Number of pages6
JournalWeather and Forecasting
Volume12
Issue number1
DOIs
StatePublished - Mar 1997
Externally publishedYes

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