Disentangling timing and amplitude errors in streamflow simulations

Seibert, Simon Paul; Ehret, Uwe; Zehe, Erwin

doi:https://doi.org/10.5194/hess-20-3745-2016

Articles | Volume 20, issue 9

https://doi.org/10.5194/hess-20-3745-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-3745-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 9

Research article

| Highlight paper

|

12 Sep 2016

Research article | Highlight paper |

| 12 Sep 2016

Disentangling timing and amplitude errors in streamflow simulations

Simon Paul Seibert, Uwe Ehret, and Erwin Zehe

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Final revised paper (published on 12 Sep 2016)
Preprint (discussion started on 30 Mar 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Is this new version better than the previous?', Anonymous Referee #1, 09 May 2016
- AC1: 'reply to RC1', Simon Seibert, 11 May 2016
RC2: 'Review of "Disentangling timing and amplitude errors in streamflow simulations" by Seibert, Ehret and Zehe', Anonymous Referee #2, 13 May 2016
- AC2: 'Reply to RC2', Simon Seibert, 14 Jun 2016
RC3: 'Review of 'Disentangling timing and amplitude errors in streamflow simulations'', Anonymous Referee #3, 16 May 2016
- AC3: 'Reply to RC3', Simon Seibert, 14 Jun 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after major revisions (13 Jun 2016) by Vazken Andréassian

ED: Publish subject to minor revisions (Editor review) (16 Jun 2016) by Vazken Andréassian

AR by Simon Seibert on behalf of the Authors (13 Jul 2016) Manuscript

ED: Publish as is (16 Jul 2016) by Vazken Andréassian

AR by Simon Seibert on behalf of the Authors (24 Jul 2016)

Short summary

While the assessment of "vertical" (magnitude) errors of streamflow simulations is standard practice, "horizontal" (timing) errors are rarely considered. To assess their role, we propose a method to quantify both errors simultaneously which closely resembles visual hydrograph comparison. Our results reveal differences in time–magnitude error statistics for different flow conditions. The proposed method thus offers novel perspectives for model diagnostics and evaluation.