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.
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.
the Creative Commons Attribution 3.0 License.
A high-resolution dataset of water fluxes and states for Germany accounting for parametric uncertainty
Helmholtz Centre for Environmental Research – UFZ, Department
Computational Hydrosystems, Permoserstraße 15, 04318 Leipzig, Germany
Rohini Kumar
Helmholtz Centre for Environmental Research – UFZ, Department
Computational Hydrosystems, Permoserstraße 15, 04318 Leipzig, Germany
Matthias Cuntz
Helmholtz Centre for Environmental Research – UFZ, Department
Computational Hydrosystems, Permoserstraße 15, 04318 Leipzig, Germany
INRA, Université de Lorraine, UMR1137 Ecologie et Ecophysiologie
Forestières, Champenoux, France
Helmholtz Centre for Environmental Research – UFZ, Department
Computational Hydrosystems, Permoserstraße 15, 04318 Leipzig, Germany
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- Increased high flows in Germany under 1.5 K, 2.0 K and 3.0 K warming based on a large regional climate model ensemble A. Chandrasekar et al.
- Automatic Regionalization of Model Parameters for Hydrological Models M. Feigl et al.
- The development and persistence of soil moisture stress during drought across southwestern Germany E. Tijdeman & L. Menzel
- Emergence of heavy tails in streamflow distributions: the role of spatial rainfall variability H. Wang et al.
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- How well do process-based and data-driven hydrological models learn from limited discharge data? M. Staudinger et al.
- Inferring Grassland Drought Stress with Unsupervised Learning from Airborne Hyperspectral VNIR Imagery F. Hermanns et al.
- High-resolution impact-based early warning system for riverine flooding H. Najafi et al.
- Spatial Organization of Human Population and Wastewater Treatment Plants in Urbanized River Basins S. Yang et al.
- Disentangling the Impact of Catchment Heterogeneity on Nitrate Export Dynamics From Event to Long‐Term Time Scales C. Winter et al.
- A drought monitoring tool for South Asia T. Saha et al.
- The multiscale routing model mRM v1.0: simple river routing at resolutions from 1 to 50 km S. Thober et al.
- Assessment of groundwater recharge for a coarse-gravel porous aquifer in Slovenia V. Zupanc et al.
- The effect of soil moisture anomalies on maize yield in Germany M. Peichl et al.
Saved (final revised paper)
Latest update: 06 May 2026
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.
We discuss the estimation of a long-term, high-resolution, continuous and consistent dataset of...