Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4323-2017
© 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-21-4323-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Toward seamless hydrologic predictions across spatial scales
Department of Computational Hydrosystems, UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany
Rohini Kumar
Department of Computational Hydrosystems, UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany
Stephan Thober
Department of Computational Hydrosystems, UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany
Oldrich Rakovec
Department of Computational Hydrosystems, UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany
Matthias Zink
Department of Computational Hydrosystems, UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany
Niko Wanders
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USA
Universiteit Utrecht, Department of Physical Geography, Utrecht, the Netherlands
Stephanie Eisner
Center for Environmental Systems Research, University of Kassel, Kassel, Germany
now at: Division for Forestry and Forest Resources, Norwegian Institute of Bioeconomy Research, Ås, Norway
Hannes Müller Schmied
Institute of Physical Geography, Goethe-University Frankfurt, Frankfurt, Germany
Senckenberg Biodiversity and Climate Research Centre (BiK-F), Frankfurt, Germany
Edwin H. Sutanudjaja
Universiteit Utrecht, Department of Physical Geography, Utrecht, the Netherlands
Kirsten Warrach-Sagi
Institute of Physics and Meteorology, University of Hohenheim, Stuttgart, Germany
Sabine Attinger
Department of Computational Hydrosystems, UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany
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Latest update: 23 Nov 2024
Short summary
We inspect the state-of-the-art of several land surface (LSMs) and hydrologic models (HMs) and show that most do not have consistent and realistic parameter fields for land surface geophysical properties. We propose to use the multiscale parameter regionalization (MPR) technique to solve, at least partly, the scaling problem in LSMs/HMs. A general model protocol is presented to describe how MPR can be applied to a specific model.
We inspect the state-of-the-art of several land surface (LSMs) and hydrologic models (HMs) and...