Preprints
https://doi.org/10.5194/gmd-2022-16
https://doi.org/10.5194/gmd-2022-16
Submitted as: development and technical paper
26 Jan 2022
Submitted as: development and technical paper | 26 Jan 2022
Status: a revised version of this preprint was accepted for the journal GMD and is expected to appear here in due course.

Evaluating a reservoir parametrisation in the vector-based global routing model mizuRoute (v2.0.1) for Earth System Model coupling

Inne Vanderkelen1, Shervan Gharari2, Naoki Mizukami3, Martyn P. Clark2, David M. Lawrence3, Sean Swenson3, Yadu Pokhrel4, Naota Hanasaki5, Ann van Griensven1, and Wim Thiery1 Inne Vanderkelen et al.
  • 1Vrije Universiteit Brussel, Department of Hydrology and Hydraulic Engineering, Brussels, Belgium
  • 2University of Saskatchewan, Centre for Hydrology and Coldwater Laboratory, Canmore, Canada
  • 3National Center for Atmospheric Research, Boulder, Colorado, USA
  • 4Michigan State University, Department of Civil and Environmental Engineering, East Lansing, MI, United States
  • 5National Institute for Environmental Studies, Tsukuba, Japan

Abstract. Human-controlled reservoirs have a large influence on the global water cycle. While global hydrological models use generic parametrisations to model human dam operations, the representation of reservoir regulation is often still lacking in Earth System Models. Here we implement and evaluate a widely used reservoir parametrisation in the global river routing model mizuRoute, which operates on a vector-based river network resolving individual lakes and reservoirs, and which is currently being coupled to an Earth System Model. We develop an approach to determine the downstream area over which to aggregate irrigation water demand per reservoir. The implementation of managed reservoirs is evaluated by comparing to simulations ignoring inland waters, and simulations with reservoirs represented as natural lakes, using (i) local simulations for 26 individual reservoirs driven by observed inflows, and (ii) global-scale simulations driven by runoff from the Community Land Model. The local simulations show a clear added value of the reservoir parametrisation, especially for simulating storage for large reservoirs with a multi-year storage capacity. In the global-scale application, the implementation of reservoirs shows an improvement in outflow and storage compared to the no-reservoir simulation, but compared to the natural lake parametrisation, an overall similar performance is found. This lack of impact could be attributed to biases in simulated river discharge, mainly originating from biases in simulated runoff from the Community Land Model. Finally, the comparison of modelled monthly streamflow indices against observations highlights that the inclusion of dam operations improves the streamflow simulation compared to ignoring lakes and reservoirs. This study overall underlines the need to further develop and test water management parametrisations, as well as to improve runoff simulations for advancing the representation of anthropogenic interference with the terrestrial water cycle in Earth System Models.

Inne Vanderkelen et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on gmd-2022-16', Juan Antonio Añel, 01 Mar 2022
    • AC1: 'Reply on CEC1', Inne Vanderkelen, 26 Apr 2022
  • RC1: 'Comment on gmd-2022-16', Anonymous Referee #1, 08 Mar 2022
    • AC2: 'Reply on RC1', Inne Vanderkelen, 02 May 2022
  • RC2: 'Comment on gmd-2022-16', Anonymous Referee #2, 12 Apr 2022
    • AC2: 'Reply on RC1', Inne Vanderkelen, 02 May 2022
    • AC3: 'Reply on RC2', Inne Vanderkelen, 02 May 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on gmd-2022-16', Juan Antonio Añel, 01 Mar 2022
    • AC1: 'Reply on CEC1', Inne Vanderkelen, 26 Apr 2022
  • RC1: 'Comment on gmd-2022-16', Anonymous Referee #1, 08 Mar 2022
    • AC2: 'Reply on RC1', Inne Vanderkelen, 02 May 2022
  • RC2: 'Comment on gmd-2022-16', Anonymous Referee #2, 12 Apr 2022
    • AC2: 'Reply on RC1', Inne Vanderkelen, 02 May 2022
    • AC3: 'Reply on RC2', Inne Vanderkelen, 02 May 2022

Inne Vanderkelen et al.

Inne Vanderkelen et al.

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Short summary
Human-controlled reservoirs have a large influence on the global water cycle. Yet, dam operations are rarely represented in Earth System Models. We implement and evaluate a widely used reservoir parametrisation in a global river routing model for Earth System Model coupling. Using observations of individual reservoirs, the reservoir scheme outperforms the natural lake scheme. Using simulated runoff however, both schemes show a similar performance due to biases in runoff timing and magnitude.