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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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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.