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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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主要な著者: Charles Andrew Hoopes, Christopher L. Castro, Ali Behrangi, Mohammed Reza Ehsani, Patrick Broxton
フォーマット: Artigo
言語:Inglês
出版事項: Wiley 2023-11-01
シリーズ:Meteorological Applications
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オンライン・アクセス:https://doi.org/10.1002/met.2153
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