Effects of uncertainty in soil properties on simulated hydrological states and fluxes at different spatio-temporal scales

Baroni, Gabriele; Zink, Matthias; Kumar, Rohini; Samaniego, Luis; Attinger, Sabine

doi:https://doi.org/10.5194/hess-21-2301-2017

Articles | Volume 21, issue 5

https://doi.org/10.5194/hess-21-2301-2017

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

https://doi.org/10.5194/hess-21-2301-2017

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

Articles | Volume 21, issue 5

Research article

|

03 May 2017

Research article |

| 03 May 2017

Effects of uncertainty in soil properties on simulated hydrological states and fluxes at different spatio-temporal scales

Gabriele Baroni, Matthias Zink, Rohini Kumar, Luis Samaniego, and Sabine Attinger

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Final revised paper (published on 03 May 2017)
Supplement to the final revised paper
Preprint (discussion started on 13 Dec 2016)
Supplement to the preprint

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Review comments', Anonymous Referee #1, 15 Dec 2016
- AC1: 'Reply to Reviewer #1', Gabriele Baroni, 20 Dec 2016
RC2: 'Review', Anonymous Referee #2, 13 Jan 2017
- AC2: 'Reply to Reviewer #2', Gabriele Baroni, 18 Jan 2017

Peer-review completion

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

ED: Publish subject to minor revisions (further review by Editor) (01 Mar 2017) by Matthias Bernhardt

AR by Gabriele Baroni on behalf of the Authors (10 Mar 2017) Author's response Manuscript

ED: Publish as is (03 Apr 2017) by Matthias Bernhardt

AR by Gabriele Baroni on behalf of the Authors (04 Apr 2017)

Short summary

Three methods are used to characterize the uncertainty in soil properties. The effect on simulated states and fluxes is quantified using a distributed hydrological model. Different impacts are identified as function of the perturbation method, of the model outputs and of the spatio-temporal resolution. The study underlines the importance of a proper characterization of the uncertainty in soil properties for a correct assessment of their role and further improvements in the model application.