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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Bibliographic Details
Main Authors: Shiheng Duan, Paul Ullrich, Mark Risser, Alan Rhoades
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:Water Resources Research
Subjects:
Online Access:https://doi.org/10.1029/2023WR035009
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