Scatter plots of observed vs multi-step forecasted streamflow using HyMoLAP and the hybrid HyMoLAP–Bayesian LSTM in the Savè sub-catchment.

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environment and energy

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dataset

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SiaOlaEriSte

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Scatter plots of observed vs multi-step forecasted streamflow using HyMoLAP and the hybrid HyMoLAP–Bayesian LSTM in the Savè sub-catchment.

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Ecology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified upstream flow forecasts remains challenging due managing water resources least action principle enable uncertainty quantification +28

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Scatter plots of observed vs. multi-step forecasted streamflow using HyMoLAP and the hybrid HyMoLAP–Bayesian LSTM in the Bonou sub-catchment.Comparison between observed and forecasted streamflow during the testing period using the HyMoLAP and LSTM models with different lead times in the Savè sub-catchment.

Scatter plots of observed vs. multi-step forecasted streamflow using HyMoLAP and the hybrid HyMoLAP–Bayesian LSTM in the Bonou sub-catchment.

Scatter plots of observed vs. multi-step forecasted streamflow using HyMoLAP and the hybrid HyMoL

Comparison between observed and forecasted streamflow during the testing period using the HyMoLAP and LSTM models with different lead times in the Savè sub-catchment.

Comparison between observed and forecasted streamflow during the testing period using the HyMoLAP