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

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Cited articles

Berg, A. A., Famiglietti, J. S., Rodell, M., Reichle, R. H., Jambor, U., Holl, S. L., and Houser, P. R.: Development of a hydrometeorological forcing data set for global soil moisture estimation, Int. J. Climatol., 25, 1697–1714, https://doi.org/10.1002/joc.1203, 2005.
Bergrström, S.: Development and application of a conceptual runoff model for Scandinavian catchments, Tech. rep., University of Lund, Norrköping, Sweden, 1976.
Beven, K.: Prophecy, reality and uncertainty in distributed hydrological modelling, Adv. Water Resour., 16, 41–51, 1993.
Budyko, M. I.: Climate and Life, Academic Press, New York, 1974.
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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.