Articles | Volume 29, issue 6
https://doi.org/10.5194/hess-29-1725-2025
https://doi.org/10.5194/hess-29-1725-2025
Research article
 | 
26 Mar 2025
Research article |  | 26 Mar 2025

Scale dependency in modeling nivo-glacial hydrological systems: the case of the Arolla basin, Switzerland

Anne-Laure Argentin, Pascal Horton, Bettina Schaefli, Jamal Shokory, Felix Pitscheider, Leona Repnik, Mattia Gianini, Simone Bizzi, Stuart N. Lane, and Francesco Comiti

Related authors

Italian Fluvial Sediment Transport Database: A Comprehensive Hub for Archiving and Analyzing Hydrological Data
Marco Luppichini, Francesco Comiti, Andrea Andreoli, Barbara Aldighieri, Paolo Billi, Irene Maria Bollati, Andrea Brenna, Diletta Chirici, Paolo Ciavola, Silvia Cilli, Marco Donnini, Simona Francalanci, Lorenzo Innocenti, Laura Longoni, Luca Mao, Ivan Marchesini, Ilenia Murgia, Giacomo Pellegrini, Daniele Penna, Lorenzo Picco, Riccardo Rainato, Leonardo Schippa, Luca Solari, Gianluca Tronti, Bruno Testa, Matteo Verdone, and Monica Bini
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-157,https://doi.org/10.5194/essd-2026-157, 2026
Preprint under review for ESSD
Short summary
Can streamflow observations constrain snow mass reconstructions? Lessons from two synthetic numerical experiments
Pau Wiersma, Jan Magnusson, Nadav Peleg, Bettina Schaefli, and Gregoire Mariethoz
Hydrol. Earth Syst. Sci., 30, 3331–3350, https://doi.org/10.5194/hess-30-3331-2026,https://doi.org/10.5194/hess-30-3331-2026, 2026
Short summary
From soil to stream: modeling the catchment-scale hydrological effects of increased soil organic carbon
Malve Heinz, Annelie Holzkämper, Rohini Kumar, Sélène Ledain, Pascal Horton, and Bettina Schaefli
Hydrol. Earth Syst. Sci., 30, 2879–2911, https://doi.org/10.5194/hess-30-2879-2026,https://doi.org/10.5194/hess-30-2879-2026, 2026
Short summary
Estimating robust melt factors and temperature thresholds for snow modelling across the Northern Hemisphere
Adrià Fontrodona-Bach, Bettina Schaefli, Ross Woods, and Joshua R. Larsen
Hydrol. Earth Syst. Sci., 30, 2613–2636, https://doi.org/10.5194/hess-30-2613-2026,https://doi.org/10.5194/hess-30-2613-2026, 2026
Short summary
Integrating a global glacier model into local hydrological modeling: Impacts on melt contributions
Justine Berg, Pascal Horton, Martina Kauzlaric, Alexandra von der Esch, and Bettina Schaefli
EGUsphere, https://doi.org/10.5194/egusphere-2026-439,https://doi.org/10.5194/egusphere-2026-439, 2026
Short summary

Cited articles

Abdulla, F. A. and Lettenmaier, D. P.: Development of regional parameter estimation equations for a macroscale hydrologic model, J. Hydrol., 197, 230–257, 1997. a, b
Arnold, N.: Investigating the sensitivity of glacier mass-balance/elevation profiles to changing meteorological conditions: Model experiments for Haut Glacier D'Arolla, Valais, Switzerland, Arc. Antarct. Alp. Res., 37, 139–145, https://doi.org/10.1657/1523-0430(2005)037[0139:ITSOGE]2.0.CO;2, 2005. a
Bárdossy, A. and Das, T.: Influence of rainfall observation network on model calibration and application, Hydrol. Earth Syst. Sci., 12, 77–89, https://doi.org/10.5194/hess-12-77-2008, 2008. a
Bárdossy, A. and Singh, S. K.: Robust estimation of hydrological model parameters, Hydrol. Earth Syst. Sci., 12, 1273–1283, https://doi.org/10.5194/hess-12-1273-2008, 2008. a
Bezinge, A., Clark, M. J., Gurnell, A. M., and Warburton, J.: The management of sediment transported by glacial melt-water streams and its significance for the estimation of sediment yield, Ann. Glaciol., 13, 1–5, https://doi.org/10.3189/S0260305500007527, 1989. a, b
Download
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.
Share