Articles | Volume 27, issue 6
https://doi.org/10.5194/hess-27-1325-2023
https://doi.org/10.5194/hess-27-1325-2023
Research article
 | 
28 Mar 2023
Research article |  | 28 Mar 2023

Incorporating experimentally derived streamflow contributions into model parameterization to improve discharge prediction

Andreas Hartmann, Jean-Lionel Payeur-Poirier, and Luisa Hopp

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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-2021-179', Christian Birkel, 16 Jun 2021
    • AC1: 'Reply on RC1', Andreas Hartmann, 11 Nov 2021
  • CC1: 'Comment on hess-2021-179', John Ding, 16 Jun 2021
    • AC3: 'Reply on CC1', Andreas Hartmann, 11 Nov 2021
  • RC2: 'Comment on hess-2021-179', Anonymous Referee #2, 21 Jul 2021
    • AC2: 'Reply on RC2', Andreas Hartmann, 11 Nov 2021

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) (14 Jan 2022) by Jim Freer
AR by Andreas Hartmann on behalf of the Authors (18 Oct 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (11 Nov 2022) by Jim Freer
RR by Christian Birkel (23 Nov 2022)
RR by Anonymous Referee #2 (03 Jan 2023)
ED: Publish subject to minor revisions (review by editor) (17 Jan 2023) by Jim Freer
AR by Andreas Hartmann on behalf of the Authors (20 Jan 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (28 Feb 2023) by Jim Freer
AR by Andreas Hartmann on behalf of the Authors (03 Mar 2023)
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Short summary
We advance our understanding of including information derived from environmental tracers into hydrological modeling. We present a simple approach that integrates streamflow observations and tracer-derived streamflow contributions for model parameter estimation. We consider multiple observed streamflow components and their variation over time to quantify the impact of their inclusion for streamflow prediction at the catchment scale.