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  • Presentation | A13B: Advances in Radar Remote Sensing of Clouds and Precipitation: Observations, Data Processing, Weather and Water Model Applications I Oral
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  • A13B-03: Investigation of Elevated Potentially Unstable Layers and Associated Ice Microphysics predicted by a Neural Network in the Comma Head of Wintertime Extratropical Cyclones during IMPACTS
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Author(s):
Kaylee Lundstrom, University of Illinois at Urbana-Champaign (First Author, Presenting Author)
Stephen Nesbitt, University of Illinois at Urbana-Champaign
Robert Rauber, University of Illinois at Urbana-Champaign


Elevated Potential Instability (EPI) can develop within cyclones impacting the United States and can lead to enhanced vertical motions within the clouds. The enhanced vertical motions can influence how ice crystals grow and snowfall characteristics at the ground. This work presents results on how frequently EPI occurs, where EPI occurs, EPI characteristics, and hydrometeor vertical motions within these layers. The microphysical properties of ice within EPI layers are presented for a case study during the Investigation of Microphysics and Precipitation for Atlantic Coast Threatening Snowstorms (IMPACTS) field campaign to demonstrate the skill of a neural network at retrieving microphysical properties from radar data.



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