Improving prediction of mountain snowfall in the southwestern United States using machine learning methods

Abstract Snowfall forecasting has historically been an area of difficulty for operational meteorologists, particularly in regions of complex terrain, such as the western United States. Attempts at improving forecasts have been made, but skill is still poor, with snowfall routinely overpredicted. A m...

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Bibliographic Details
Main Authors: Charles Andrew Hoopes, Christopher L. Castro, Ali Behrangi, Mohammed Reza Ehsani, Patrick Broxton
Format: Article
Language:English
Published: Wiley 2023-11-01
Series:Meteorological Applications
Subjects:
Online Access:https://doi.org/10.1002/met.2153