Articles | Volume 29, issue 6
https://doi.org/10.5194/hess-29-1725-2025
© Author(s) 2025. 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-29-1725-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Mar 2025
Research article |
| 26 Mar 2025
| 26 Mar 2025
Scale dependency in modeling nivo-glacial hydrological systems: the case of the Arolla basin, Switzerland
Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy
Pascal Horton
Institute of Geography, and Oeschger Center on Climate Change Research, University of Bern, Bern, Switzerland
Bettina Schaefli
Institute of Geography, and Oeschger Center on Climate Change Research, University of Bern, Bern, Switzerland
Jamal Shokory
Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland
Felix Pitscheider
Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy
Leona Repnik
Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland
Mattia Gianini
Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland
Simone Bizzi
Department of Geosciences, University of Padua, Padua, Italy
Stuart N. Lane
Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland
Francesco Comiti
Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy
Department of Land, Environment, Agriculture and Forestry, University of Padua, Padua, Italy
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In this study, we collected water from an Alpine catchment in Switzerland and compared the genetic information of eukaryotic organisms conveyed by eDNA with the hydrologic information conveyed by naturally occurring hydrologic tracers. At the intersection of two disciplines, our study provides complementary knowledge gains and identifies the next steps to be addressed for using eDNA to achieve complementary insights into Alpine water sources.
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Nat. Hazards Earth Syst. Sci., 20, 3521–3549, https://doi.org/10.5194/nhess-20-3521-2020, https://doi.org/10.5194/nhess-20-3521-2020, 2020
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Moctar Dembélé, Bettina Schaefli, Nick van de Giesen, and Grégoire Mariéthoz
Hydrol. Earth Syst. Sci., 24, 5379–5406, https://doi.org/10.5194/hess-24-5379-2020, https://doi.org/10.5194/hess-24-5379-2020, 2020
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This study evaluates 102 combinations of rainfall and temperature datasets from satellite and reanalysis sources as input to a fully distributed hydrological model. The model is recalibrated for each input dataset, and the outputs are evaluated with streamflow, evaporation, soil moisture and terrestrial water storage data. Results show that no single rainfall or temperature dataset consistently ranks first in reproducing the spatio-temporal variability of all hydrological processes.
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Short summary
In this article, we show that by taking the optimal parameters calibrated with a semi-lumped model for the discharge at a catchment's outlet, we can accurately simulate runoff at various points within the study area, including three nested and three neighboring catchments. In addition, we demonstrate that employing more intricate melt models, which better represent physical processes, enhances the transfer of parameters in the simulation, until we observe overparameterization.
In this article, we show that by taking the optimal parameters calibrated with a semi-lumped...
