Preprints
https://doi.org/10.5194/gmd-2022-108
https://doi.org/10.5194/gmd-2022-108
Submitted as: model description paper
07 Jun 2022
Submitted as: model description paper | 07 Jun 2022
Status: this preprint is currently under review for the journal GMD.

Implementation and sensitivity analysis of a Dam-Reservoir OPeration model (DROP v1.0) over Spain

Malak Sadki1, Simon Munier1, Aaron Boone1, and Sophie Ricci2 Malak Sadki et al.
  • 1CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
  • 2CECI, CERFACS/UMR5318 CNRS, Toulouse, France

Abstract. The prediction of water resource evolution is considered to be a major challenge for the coming century, particularly in the context of climate change and increasing demographic pressure. Water resources are directly linked to the continental water cycle and the main processes modulating changes can be represented by global hydrological models. However, anthropogenic impacts on water resources, and in particular the effects of dams-reservoirs on river flows, are still poorly known and generally neglected in coupled land surface – river routing models. This paper presents a parameterized reservoir model, DROP (Dam-Reservoir OPeration model), based on Hanasaki’s scheme to compute monthly releases given inflows, water demands and the management purpose. With its significantly anthropized river basins, Spain has been chosen as a study case for which simulated outflows and water storage variations are evaluated against in situ observations over the period 1979–2014. Using a default configuration of the reservoir model, results reveal its positive contribution in representing the seasonal cycle of discharge and storage variation, specifically for large-storage capacity irrigation reservoirs. Based on a bounded version of the Nash-Sutcliffe Efficiency (NSE) index, called C2M , the overall outflow representation is improved by 43 % in the median. For irrigation reservoirs, the improvement rate reaches 80 %. A comprehensive sensitivity analysis of DROP model parameters was conducted based on the performance of C2M on outflows and volumes using the Sobol method. The results show that the most influential parameter is the threshold coefficient describing the demand-controlled release level. The analysis also reveals the parameters that need to be focused on in order to improve river flow or reservoir water storage modeling by highlighting the difference in the individual effects of the parameters and their interactions depending on whether one focuses on outflows or volume mean seasonal patterns. The results of this generic reservoir scheme show promise for modeling present and future reservoir impacts on the continental hydrology within global land surface – river routing models.

Malak Sadki et al.

Status: open (until 02 Aug 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-108', Anonymous Referee #1, 29 Jun 2022 reply

Malak Sadki et al.

Malak Sadki et al.

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Short summary
Predicting water resources evolution is a key challenge for the coming century. Anthropogenic impacts on water resources, and particularly the effects of dams-reservoirs on river flows, are still poorly known and generally neglected in global hydrological studies. A parameterized reservoir model is reproduced to compute monthly releases in Spain anthropized river basins. For a global application, an exhaustive sensitivity analysis of the model parameters is performed on flows and volumes.