Articles | Volume 23, issue 2
https://doi.org/10.5194/hess-23-787-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-787-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
13 Feb 2019
Research article | Highlight paper |
| 13 Feb 2019
| 13 Feb 2019
A simple topography-driven and calibration-free runoff generation module
Key Laboratory of Geographic Information Science (Ministry of
Education of China), East China Normal University, Shanghai, China
School of Geographical Sciences, East China Normal University,
Shanghai, China
Julie Ann Wrigley Global Institute of Sustainability, Arizona State
University, PO Box 875402, Tempe, AZ 85287-5402, USA
Northwest Institute of Eco-Environment and Resources, Chinese Academy
of Sciences, Lanzhou, China
Christian Birkel
Department of Geography, University of Costa Rica, San José,
Costa Rica
Northern Rivers Institute, School of Geosciences, University of
Aberdeen, Aberdeen, Scotland
Markus Hrachowitz
Water Resources Section, Delft University of Technology, Delft,
the Netherlands
Doerthe Tetzlaff
Northern Rivers Institute, School of Geosciences, University of
Aberdeen, Aberdeen, Scotland
IGB Leibniz Institute of Freshwater Ecology and Inland Fisheries Berlin, Berlin, Germany
Humboldt University Berlin, Berlin, Germany
Chris Soulsby
Northern Rivers Institute, School of Geosciences, University of
Aberdeen, Aberdeen, Scotland
Hubert H. G. Savenije
Water Resources Section, Delft University of Technology, Delft,
the Netherlands
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- GHydroMod-SIM-DAI v1.0: A new distributed hydrological model capable of dynamically recognizing runoff generation mechanisms and accounting for aboveground and underground anthropogenic impacts Y. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.134184
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- Evaluating satellite-based and reanalysis precipitation datasets with gauge-observed data and hydrological modeling in the Xihe River Basin, China N. Wang et al. https://doi.org/10.1016/j.atmosres.2019.104746
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- DBv2: an improved climate-centric calibration-free model for runoff-generation simulation P. Istalkar & B. Biswal https://doi.org/10.1080/02626667.2025.2581263
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- Climatic Control on Spatial Distribution of Water Storage at the Catchment Scale: A Framework for Unifying Saturation Excess Runoff Models L. Yao & D. Wang https://doi.org/10.1029/2021JD036334
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Saved (final revised paper)
Latest update: 11 Aug 2026
Short summary
Supported by large-sample ecological observations, a novel, simple and topography-driven runoff generation module (HSC-MCT) was created. The HSC-MCT is calibration-free, and therefore it can be used to predict in ungauged basins, and has great potential to be generalized at the global scale. Also, it allows us to reproduce the variation of saturation areas, which has great potential to be used for broader hydrological, ecological, climatological, and biogeochemical studies.
Supported by large-sample ecological observations, a novel, simple and topography-driven runoff...
