Characterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understanding

Kelleher, Christa; McGlynn, Brian; Wagener, Thorsten

doi:https://doi.org/10.5194/hess-21-3325-2017

Articles | Volume 21, issue 7

https://doi.org/10.5194/hess-21-3325-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-21-3325-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 7

Research article

|

05 Jul 2017

Research article |

| 05 Jul 2017

Characterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understanding

Christa Kelleher, Brian McGlynn, and Thorsten Wagener

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Final revised paper (published on 05 Jul 2017)
Preprint (discussion started on 22 Dec 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'reviewer comments', Markus Hrachowitz, 04 Jan 2017
- AC1: 'Response to Reviewer 1', Christa Kelleher, 16 Mar 2017
RC2: 'Review', Uwe Ehret, 18 Jan 2017
- AC2: 'Response to Reviewer 2', Christa Kelleher, 16 Mar 2017

Peer-review completion

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

ED: Publish subject to revisions (further review by Editor and Referees) (07 Apr 2017) by Ralf Merz

AR by Christa Kelleher on behalf of the Authors (17 Apr 2017) Author's response Manuscript

ED: Publish subject to revisions (further review by Editor and Referees) (15 May 2017) by Ralf Merz

ED: Referee Nomination & Report Request started (17 May 2017) by Ralf Merz

RR by Uwe Ehret (25 May 2017)

ED: Publish as is (26 May 2017) by Ralf Merz

Short summary

Models are tools for understanding how watersheds function and may respond to land cover and climate change. Before we can use models towards these purposes, we need to ensure that a model adequately represents watershed-wide observations. In this paper, we propose a new way to evaluate whether model simulations match observations, using a variety of information sources. We show how this information can reduce uncertainty in inputs to models, reducing uncertainty in hydrologic predictions.