A high-resolution dataset of water fluxes and states for Germany accounting for parametric uncertainty

Zink, Matthias; Kumar, Rohini; Cuntz, Matthias; Samaniego, Luis

doi:https://doi.org/10.5194/hess-21-1769-2017

Articles | Volume 21, issue 3

https://doi.org/10.5194/hess-21-1769-2017

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

https://doi.org/10.5194/hess-21-1769-2017

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

Articles | Volume 21, issue 3

Research article

|

27 Mar 2017

Research article |

| 27 Mar 2017

A high-resolution dataset of water fluxes and states for Germany accounting for parametric uncertainty

Matthias Zink, Rohini Kumar, Matthias Cuntz, and Luis Samaniego

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Final revised paper (published on 27 Mar 2017)
Supplement to the final revised paper
Preprint (discussion started on 26 Sep 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of HESS-2016-443 “A High-Resolution Dataset of Water Fluxes and States for Germany Accounting for Parametric Uncertainty”', Anonymous Referee #1, 11 Nov 2016
- AC1: 'Interactive comment', Matthias Zink, 19 Dec 2016
RC2: 'Review of Zink et al., 2016', Anonymous Referee #2, 16 Nov 2016
- AC2: 'Interactive comment', Matthias Zink, 19 Dec 2016
RC3: 'review of hess-2016-443', Anonymous Referee #3, 21 Nov 2016
- AC3: 'Interactive comment', Matthias Zink, 19 Dec 2016

Peer-review completion

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

ED: Publish subject to revisions (further review by Editor and Referees) (22 Dec 2016) by Erwin Zehe

AR by Matthias Zink on behalf of the Authors (24 Jan 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (30 Jan 2017) by Erwin Zehe

RR by Anonymous Referee #2 (30 Jan 2017)

RR by Anonymous Referee #3 (05 Mar 2017)

ED: Publish as is (06 Mar 2017) by Erwin Zehe

Short summary

We discuss the estimation of a long-term, high-resolution, continuous and consistent dataset of hydro-meteorological variables for Germany. Here we describe the derivation of national-scale parameter sets and analyze the uncertainty of the estimated hydrologic variables (focusing on the parametric uncertainty). Our study highlights the role of accounting for the parametric uncertainty in model-derived hydrological datasets.