Advancing subseasonal reservoir inflow forecasts using an explainable machine learning method

Advancing subseasonal reservoir inflow forecasts using an explainable machine learning method

Study RegionUpper Colorado River Basin and Great Basin in the United StatesStudy FocusAccurate subseasonal reservoir inflow forecasts and understanding the influence of hydrometeorological forcings on these forecasts are crucial for improving water resources management. Machine learning (ML) techniq...

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Bibliographic Details
Main Authors: Ming Fan, Siyan Liu, Dan Lu
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Subseasonal forecasting
Explainable machine learning
Variable importance
Encoder-Decoder LSTM networks
Reservoir inflow
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581823002719

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http://www.sciencedirect.com/science/article/pii/S2214581823002719

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