Articles | Volume 27, issue 9
Research article
09 May 2023
Research article |  | 09 May 2023

A signal-processing-based interpretation of the Nash–Sutcliffe efficiency

Le Duc and Yohei Sawada


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2022-955', John Ding, 30 Sep 2022
  • RC1: 'Comment on egusphere-2022-955', Anonymous Referee #1, 06 Nov 2022
  • RC2: 'Review of egusphere-2022-955', Anonymous Referee #2, 07 Nov 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (16 Jan 2023) by Roger Moussa
AR by Le Duc on behalf of the Authors (27 Feb 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (28 Feb 2023) by Roger Moussa
RR by Anonymous Referee #2 (27 Mar 2023)
RR by Anonymous Referee #1 (11 Apr 2023)
ED: Publish subject to technical corrections (13 Apr 2023) by Roger Moussa
AR by Le Duc on behalf of the Authors (15 Apr 2023)  Author's response   Manuscript 
Short summary
The Nash–Sutcliffe efficiency (NSE) is a widely used score in hydrology, but it is not common in the other environmental sciences. One of the reasons for its unpopularity is that its scientific meaning is somehow unclear in the literature. This study attempts to establish a solid foundation for NSE from the viewpoint of signal progressing. This approach is shown to yield profound explanations to many open problems related to NSE. A generalized NSE that can be used in general cases is proposed.