Articles | Volume 27, issue 13
Research article
03 Jul 2023
Research article |  | 03 Jul 2023

When best is the enemy of good – critical evaluation of performance criteria in hydrological models

Guillaume Cinkus, Naomi Mazzilli, Hervé Jourde, Andreas Wunsch, Tanja Liesch, Nataša Ravbar, Zhao Chen, and Nico Goldscheider


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on hess-2022-380', Charles Onyutha, 12 Dec 2022
    • AC1: 'Reply on CC1', Guillaume Cinkus, 29 Jan 2023
  • CC2: 'Comment on hess-2022-380', John Ding, 22 Dec 2022
    • AC2: 'Reply on CC2', Guillaume Cinkus, 29 Jan 2023
  • RC1: 'Comment on hess-2022-380', Anonymous Referee #1, 07 Mar 2023
    • AC3: 'Reply on RC1', Guillaume Cinkus, 08 Apr 2023
  • RC2: 'Comment on hess-2022-380', Anonymous Referee #2, 21 Mar 2023
    • AC4: 'Reply on RC2', Guillaume Cinkus, 08 Apr 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (further review by editor) (19 Apr 2023) by Yi He
AR by Guillaume Cinkus on behalf of the Authors (29 Apr 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (18 May 2023) by Yi He
AR by Guillaume Cinkus on behalf of the Authors (02 Jun 2023)
Short summary
The Kling–Gupta Efficiency (KGE) is a performance criterion extensively used to evaluate hydrological models. We conduct a critical study on the KGE and its variant to examine counterbalancing errors. Results show that, when assessing a simulation, concurrent over- and underestimation of discharge can lead to an overall higher criterion score without an associated increase in model relevance. We suggest that one carefully choose performance criteria and use scaling factors.