Articles | Volume 28, issue 21
https://doi.org/10.5194/hess-28-4837-2024
https://doi.org/10.5194/hess-28-4837-2024
Research article
 | 
07 Nov 2024
Research article |  | 07 Nov 2024

On the use of streamflow transformations for hydrological model calibration

Guillaume Thirel, Léonard Santos, Olivier Delaigue, and Charles Perrin

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-775 - Contribution could be more fundamental', Anonymous Referee #1, 23 May 2023
  • RC2: 'Comment on egusphere-2023-775', Anonymous Referee #2, 12 Jun 2023

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) (02 Sep 2023) by Yue-Ping Xu
AR by Guillaume Thirel on behalf of the Authors (30 Nov 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (30 Dec 2023) by Yue-Ping Xu
RR by Anonymous Referee #1 (25 Jan 2024)
RR by Anonymous Referee #2 (04 Feb 2024)
ED: Reconsider after major revisions (further review by editor and referees) (06 Feb 2024) by Yue-Ping Xu
AR by Guillaume Thirel on behalf of the Authors (10 Apr 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (26 Apr 2024) by Yue-Ping Xu
RR by Anonymous Referee #1 (27 Apr 2024)
RR by Anonymous Referee #3 (26 May 2024)
ED: Reconsider after major revisions (further review by editor and referees) (04 Jun 2024) by Yue-Ping Xu
AR by Guillaume Thirel on behalf of the Authors (09 Jul 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (30 Jul 2024) by Yue-Ping Xu
RR by Anonymous Referee #3 (28 Aug 2024)
ED: Publish as is (08 Sep 2024) by Yue-Ping Xu
AR by Guillaume Thirel on behalf of the Authors (11 Sep 2024)
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Short summary
We discuss how mathematical transformations impact calibrated hydrological model simulations. We assess how 11 transformations behave over the complete range of streamflows. Extreme transformations lead to models that are specialized for extreme streamflows but show poor performance outside the range of targeted streamflows and are less robust. We show that no a priori assumption about transformations can be taken as warranted.