Using Temporal Deep Learning Models to Estimate Daily Snow Water Equivalent Over the Rocky Mountains

Abstract In this study we construct and compare three different deep learning (DL) models for estimating daily snow water equivalent (SWE) from high‐resolution gridded meteorological fields over the Rocky Mountain region. To train the DL models, Snow Telemetry (SNOTEL) station‐based SWE observations...

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Detalles Bibliográficos

Principais autores:	Shiheng Duan, Paul Ullrich, Mark Risser, Alan Rhoades
Formato:	Artigo
Idioma:	Inglês
Publicado:	Wiley 2024-04-01
Series:	Water Resources Research
Assuntos:	snow water equivalent prediction deep learning extrapolation
Acceso en liña:	https://doi.org/10.1029/2023WR035009
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