Articles | Volume 21, issue 3
https://doi.org/10.5194/hess-21-1769-2017
https://doi.org/10.5194/hess-21-1769-2017
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

Viewed

Total article views: 5,379 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,526 1,677 176 5,379 400 149 146
  • HTML: 3,526
  • PDF: 1,677
  • XML: 176
  • Total: 5,379
  • Supplement: 400
  • BibTeX: 149
  • EndNote: 146
Views and downloads (calculated since 26 Sep 2016)
Cumulative views and downloads (calculated since 26 Sep 2016)

Viewed (geographical distribution)

Total article views: 5,379 (including HTML, PDF, and XML) Thereof 5,122 with geography defined and 257 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Jul 2024
Download
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.