Articles | Volume 27, issue 2
https://doi.org/10.5194/hess-27-495-2023
https://doi.org/10.5194/hess-27-495-2023
Technical note
 | 
24 Jan 2023
Technical note |  | 24 Jan 2023

Technical note: How physically based is hydrograph separation by recursive digital filtering?

Klaus Eckhardt

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on hess-2022-186', Keith Beven, 23 Jun 2022
    • AC1: 'Reply on CC1', Klaus Eckhardt, 28 Jun 2022
      • CC2: 'Reply on AC1', Keith Beven, 28 Jun 2022
        • AC2: 'Reply on CC2', Klaus Eckhardt, 07 Jul 2022
  • RC1: 'Comment on hess-2022-186', Anonymous Referee #1, 04 Aug 2022
    • AC3: 'Reply on RC1', Klaus Eckhardt, 06 Aug 2022
  • RC2: 'Comment on hess-2022-186', Anonymous Referee #2, 11 Aug 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (27 Aug 2022) by Thom Bogaard
AR by Klaus Eckhardt on behalf of the Authors (13 Sep 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (07 Oct 2022) by Thom Bogaard
RR by Anonymous Referee #1 (03 Nov 2022)
ED: Publish as is (22 Nov 2022) by Thom Bogaard
AR by Klaus Eckhardt on behalf of the Authors (02 Dec 2022)
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Short summary
An important hydrological issue is to identify components of streamflow that react to precipitation with different degrees of attenuation and delay. From the multitude of methods that have been developed for this so-called hydrograph separation, a specific, frequently used one is singled out here. It is shown to be derived from plausible physical principles. This increases confidence in its results.