Utilizing idealized mesoscale model simulations to aid the prediction of lake-effect snowstorms

Neil F. Laird, David A.R. Kristovich

Research output: Contribution to journalConference articlepeer-review

Abstract

The prediction of the lake-effect (LE) snowstorms was analyzed to provide an assessment of the prognistic utility of the ratio of wind speed to maximum fetch distance (U/L). It was observed that the U/L criteria provide important information related to the mesoscale dynamics of different LE morphologies. It was also observed that U/L exhibited the greatest probability of detecting LE shoreline bands (SB). The results show that the probability of the U/L criteria to identify widespread coverage (WC) in the Great Lakes region, was approximately 56-62% with low occurrence of falsely predicting WC events.

Original languageEnglish (US)
Pages (from-to)2251-2257
Number of pages7
JournalBulletin of the American Meteorological Society
StatePublished - 2004
EventCombined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States
Duration: Jan 11 2004Jan 15 2004

ASJC Scopus subject areas

  • Atmospheric Science

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