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Session
Presentation | A13H: Advancing Precipitation Predictions with Physical Models and Artificial Intelligence II Poster
Poster
A13H-1779: The efficacy of ten snow-liquid ratio algorithms to predict snowfall for impactful winter storms in the Northeast United States
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Schedule
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Credits
Mon, Dec 15
Board 1779‚ Hall EFG (Poster Hall)
2:15pm - 5:45pm (Central)
NOLA CC
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Brian Filipiak
University of Connecticut
 
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Author(s):
Brian Filipiak
, Eversource Energy Center
(First Author, Presenting Author)
Ummul Khaira
, University of Connecticut
Michael Walters
, University of Connecticut
Marina Astitha
, University of Connecticut
View Abstract
Scientific Discipline
Atmospheric Sciences
Suggested Itineraries
Climate Change and Global Policy
Disasters‚ Calamities and Extreme Events
Machine Learning and AI
Open Science and Open Data
Neighborhood
Earth Covering
Type
Poster
I Will Be at My Poster Time
 
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Main Session
Poster
A13H: Advancing Precipitation Predictions with Physical Models and Artificial Intelligence II Poster
2:15pm-5:45pm Dec 15 (Central)
Xiaodong Chen
 
Discussion