Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models

<p>This study investigates the ability of long short-term memory (LSTM) neural networks to perform streamflow prediction at ungauged basins. A set of state-of-the-art, hydrological model-dependent regionalization methods are applied to 148 catchments in northeast North America and compared to...

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Bibliographic Details
Main Authors: R. Arsenault, J.-L. Martel, F. Brunet, F. Brissette, J. Mai
Format: Article
Language:English
Published: Copernicus Publications 2023-01-01
Series:Hydrology and Earth System Sciences
Online Access:https://hess.copernicus.org/articles/27/139/2023/hess-27-139-2023.pdf

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