Articles | Volume 26, issue 9
Hydrol. Earth Syst. Sci., 26, 2519–2539, 2022
https://doi.org/10.5194/hess-26-2519-2022
Hydrol. Earth Syst. Sci., 26, 2519–2539, 2022
https://doi.org/10.5194/hess-26-2519-2022
Research article
16 May 2022
Research article | 16 May 2022

Guidance on evaluating parametric model uncertainty at decision-relevant scales

Jared D. Smith et al.

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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-2021-324', Fanny Sarrazin, 16 Aug 2021
    • AC1: 'Reply on RC1', Jared Smith, 21 Sep 2021
  • RC2: 'Comment on hess-2021-324', Anonymous Referee #2, 19 Aug 2021
    • AC2: 'Reply on RC2', Jared Smith, 21 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (29 Sep 2021) by Christa Kelleher
AR by Jared Smith on behalf of the Authors (11 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (22 Nov 2021) by Christa Kelleher
RR by Fanny Sarrazin (20 Dec 2021)
RR by Anonymous Referee #3 (01 Mar 2022)
RR by Anonymous Referee #4 (26 Mar 2022)
ED: Publish subject to minor revisions (review by editor) (01 Apr 2022) by Christa Kelleher
AR by Jared Smith on behalf of the Authors (12 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (14 Apr 2022) by Christa Kelleher
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Short summary
Watershed models are used to simulate streamflow and water quality, and to inform siting and sizing decisions for runoff and nutrient control projects. Data are limited for many watershed processes that are represented in such models, which requires selecting the most important processes to be calibrated. We show that this selection should be based on decision-relevant metrics at the spatial scales of interest for the control projects. This should enable more robust project designs.