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Abstract: The efficacy of ten snow-liquid ratio algorithms to predict snowfall for impactful winter storms in the Northeast United States (AGU25)

The efficacy of ten snow-liquid ratio algorithms to predict snowfall for impactful winter storms in the Northeast United States

Mr. Brian Filipiak1,2, Ummul Khaira1,3, Michael Walters1,3 and Marina Astitha1,3,4, (1)Eversource Energy Center, University of Connecticut, Storrs, United States, (2)University of Connecticut, School of Civil and Envrionmental Engineering, Storrs, United States, (3)University of Connecticut, School of Civil and Environmental Engineering, Storrs, United States, (4)National Center for Atmospheric Research (NCAR), Research Applications Laboratory, Boulder, United States
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