Automated Cloud Based Long Short-Term Memory Neural Network Based SWE Prediction

Automated Cloud Based Long Short-Term Memory Neural Network Based SWE Prediction

Snow derived water is a critical component of the US water supply. Measurements of the Snow Water Equivalent (SWE) and associated predictions of peak SWE and snowmelt onset are essential inputs for water management efforts. This paper aims to develop an integrated framework for real-time data ingest...

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Bibliographic Details
Main Authors: Alireza Yekta Meyal, Roelof Versteeg, Erek Alper, Doug Johnson, Anastasia Rodzianko, Maya Franklin, Haruko Wainwright
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Water
Subjects:
SWE
LSTM
prediction
real-time web based interface
forecasting
model-data integration
Online Access:https://www.frontiersin.org/articles/10.3389/frwa.2020.574917/full

Internet

https://www.frontiersin.org/articles/10.3389/frwa.2020.574917/full

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