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.

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environment and energyclimate

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dataset

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SiaOlaEriSte

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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 and LSTM models with different lead times in the Bonou sub-catchment.

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

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

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

90% prediction intervals of the HyMoLAP-Bayesian LSTM hybrid model for uncertainty quantification during the testing period at different lead times in the Savè sub-catchment.

90% prediction intervals of the HyMoLAP-Bayesian LSTM hybrid model for uncertainty quantification

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

90% prediction intervals of the HyMoLAP-Bayesian LSTM hybrid model for uncertainty quantification during the testing period at different lead times in the Bonou sub-catchment.

90% prediction intervals of the HyMoLAP-Bayesian LSTM hybrid model for uncertainty quantification

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.

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

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

90% prediction intervals of the HyMoLAP-Bayesian LSTM hybrid model for uncertainty quantification during the testing period at 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.

90% prediction intervals of the HyMoLAP-Bayesian LSTM hybrid model for uncertainty quantification during the testing period at different lead times in the Bonou sub-catchment.