Articles | Volume 29, issue 19
https://doi.org/10.5194/hess-29-4913-2025
https://doi.org/10.5194/hess-29-4913-2025
Research article
 | 
01 Oct 2025
Research article |  | 01 Oct 2025

Combining uncertainty quantification and entropy-inspired concepts into a single objective function for rainfall-runoff model calibration

Alonso Pizarro, Demetris Koutsoyiannis, and Alberto Montanari

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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 hess-2024-389', Keith Beven, 30 Jan 2025
    • AC1: 'Reply on RC1', Alonso Pizarro, 01 Apr 2025
  • RC2: 'Comment on hess-2024-389 - Good paper', Salvatore Grimaldi, 13 Feb 2025
    • AC2: 'Reply on RC2', Alonso Pizarro, 01 Apr 2025

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) (15 Apr 2025) by Nunzio Romano
AR by Alonso Pizarro on behalf of the Authors (26 May 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (14 Jun 2025) by Nunzio Romano
RR by Keith Beven (17 Jun 2025)
RR by Salvatore Grimaldi (30 Jun 2025)
ED: Publish subject to minor revisions (review by editor) (30 Jun 2025) by Nunzio Romano
AR by Alonso Pizarro on behalf of the Authors (08 Jul 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (17 Jul 2025) by Nunzio Romano
AR by Alonso Pizarro on behalf of the Authors (22 Jul 2025)
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Short summary
We introduce the ratio of uncertainty to mutual information (RUMI), a new metric to improve rainfall-runoff simulations. RUMI better captures the link between observed and simulated stream flows by considering uncertainty at a core computation step. Tested on 99 catchments and with the GR4J model, it outperforms traditional metrics by providing more reliable and consistent results. RUMI paves the way for more accurate hydrological predictions.
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