Articles | Volume 19, issue 10
https://doi.org/10.5194/hess-19-4365-2015
© Author(s) 2015. 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-19-4365-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Oct 2015
Research article |
| 29 Oct 2015
Process verification of a hydrological model using a temporal parameter sensitivity analysis
M. Pfannerstill
CORRESPONDING AUTHOR
Christian-Albrechts-University of Kiel, Institute of Natural Resource Conservation, Department of Hydrology and Water Resources Management, Kiel, Germany
Christian-Albrechts-University of Kiel, Institute of Natural Resource Conservation, Department of Hydrology and Water Resources Management, Kiel, Germany
D. Reusser
Potsdam Institute for Climate Impact Research, Potsdam, Germany
N. Fohrer
Christian-Albrechts-University of Kiel, Institute of Natural Resource Conservation, Department of Hydrology and Water Resources Management, Kiel, Germany
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- Hydrological tracers, the herbicide metazachlor and its transformation products in a retention pond during transient flow conditions U. Ulrich et al. 10.1007/s11356-019-05815-6
- Parameter Estimation and Uncertainty Analysis: A Comparison between Continuous and Event-Based Modeling of Streamflow Based on the Hydrological Simulation Program–Fortran (HSPF) Model H. Xie et al. 10.3390/w11010171
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- Towards simplification of hydrologic modeling: identification of dominant processes S. Markstrom et al. 10.5194/hess-20-4655-2016
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- The 3DNet-Catch hydrologic model: Development and evaluation A. Todorović et al. 10.1016/j.jhydrol.2018.10.040
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- What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling T. Wagener & F. Pianosi 10.1016/j.earscirev.2019.04.006
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Short summary
To ensure reliable model results, hydrological processes have to be represented adequately in models. We present a framework that uses a temporal parameter sensitivity analysis and observed hydrological processes in the catchment to verify hydrological models. The framework is exemplarily applied to verify the groundwater structure of a hydrological model. The results show the appropriate simulation of all relevant hydrological processes in relation to processes observed in the catchment.
To ensure reliable model results, hydrological processes have to be represented adequately in...
