Articles | Volume 29, issue 22
https://doi.org/10.5194/hess-29-6761-2025
https://doi.org/10.5194/hess-29-6761-2025
Research article
 | 
28 Nov 2025
Research article |  | 28 Nov 2025

Modelling runoff in a glacierized catchment: the role of forcing product and spatial model resolution

Alexandra von der Esch, Matthias Huss, Marit van Tiel, Justine Berg, and Daniel Farinotti

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Cited articles

Ali, M. H., Popescu, I., Jonoski, A., and Solomatine, D. P.: Remote sensed and/or global datasets for distributed hydrological modelling: A review, Remote Sensing, 15, 1642, https://doi.org/10.3390/rs15061642, 2023. a
Argentin, A.-L., Horton, P., Schaefli, B., Shokory, J., Pitscheider, F., Repnik, L., Gianini, M., Bizzi, S., Lane, S. N., and Comiti, F.: Scale dependency in modeling nivo-glacial hydrological systems: the case of the Arolla basin, Switzerland, Hydrol. Earth Syst. Sci., 29, 1725–1748, https://doi.org/10.5194/hess-29-1725-2025, 2025. a
Azam, M. F., Kargel, J. S., Shea, J. M., Nepal, S., Haritashya, U. K., Srivastava, S., Maussion, F., Qazi, N., Chevallier, P., Dimri, A. P., Kulkarni, A. V., Cogley, J. G., and Bahuguna, I.: Glaciohydrology of the himalaya-karakoram, Science, 373, https://doi.org/10.1126/science.abf3668, 2021. a
Barandun, M., Huss, M., Usubaliev, R., Azisov, E., Berthier, E., Kääb, A., Bolch, T., and Hoelzle, M.: Multi-decadal mass balance series of three Kyrgyz glaciers inferred from modelling constrained with repeated snow line observations, The Cryosphere, 12, 1899–1919, https://doi.org/10.5194/tc-12-1899-2018, 2018. a
Bernath, A.: Zum Wasserhaushalt im Einzugsgebiet der Rhone bis Gletsch: Untersuchungen zu Niederschlag, Verdunstung und Abfluss in einem alpinen, teilweise vergletscherten Einzugsgebiet, PhD thesis, ETH Zurich, ISBN 3728118133, 1989. a, b
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Short summary
Glaciers are vital water sources, especially in alpine regions. Using the Glacier Evolution Runoff Model (GERM), we examined how forcing data and model resolution impact glacio-hydrological model results. We find that precipitation biases greatly affect results, and coarse resolutions miss critical small-scale details. This highlights the trade-offs between computational efficiency and model accuracy, emphasizing the need for high-resolution data and precise calibration for reliable predictions.
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