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Autocorrelation function (ACF) of streamflow in Bonou and Savè sub-catchments.

Domaine:

environment and energy

Type de record:

dataset
Créateur:
SiaOlaEriSte
Hôte:avatar

Autocorrelation function (ACF) of streamflow in Bonou and Savè sub-catchments.

Visit

figshare.com

Tags

EcologyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedupstream flow forecastsremains challenging duemanaging water resourcesleast action principleenable uncertainty quantification+28

Licenses

CC BY 4.0

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Performance of HyMoLAP in the Bonou and Savè sub-catchments for calibration and validation.PICP and MPIW values for the 90% prediction intervals of HyMoLAP-Bayesian LSTM in uncertainty quantification (UQ) for the Bonou and Savè sub-catchments at different lead times.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 HyMoLAP–Bayesian LSTM in the Bonou sub-catchment.

Performance of HyMoLAP in the Bonou and Savè sub-catchments for calibration and validation.

Performance of HyMoLAP in the Bonou and Savè sub-catchments for calibration and validation.

PICP and MPIW values for the 90% prediction intervals of HyMoLAP-Bayesian LSTM in uncertainty quantification (UQ) for the Bonou and Savè sub-catchments at different lead times.

PICP and MPIW values for the 90% prediction intervals of HyMoLAP-Bayesian LSTM in uncertainty qua

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

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