A novel ensemble-based conceptual-data-driven approach

In our latest paper, we propose a novel framework for ensemble-based streamflow simulations. This framework develops a conceptual-data-driven approach (CDDA) that integrates a hydrological model (HM) with a data-driven model (DDM) into a hybrid modelling approach.

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New objective function to account for discharge data uncertainty

Calibration data for hydrological models are uncertain

Discharge data used to calibrate and evaluate hydrological models can be highly uncertain and this uncertainty affects the conclusions that we can draw from modelling results. In this work, we investigated the role of discharge data uncertainty in hydrological model calibration to give recommendations on methods to account for data uncertainty.

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