Articles | Volume 29, issue 20
https://doi.org/10.5194/hess-29-5755-2025
https://doi.org/10.5194/hess-29-5755-2025
Research article
 | 
27 Oct 2025
Research article |  | 27 Oct 2025

Reducing hydrological uncertainty in large mountainous basins: the role of isotope, snow cover, and glacier dynamics in capturing streamflow seasonality

Diego Avesani, Yi Nan, and Fuqiang Tian

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Cited articles

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Araya, D., Mendoza, P. A., Muñoz-Castro, E., and McPhee, J.: Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling, Hydrol. Earth Syst. Sci., 27, 4385–4408, https://doi.org/10.5194/hess-27-4385-2023, 2023. a
Asong, Z. E., Elshamy, M. E., Princz, D., Wheater, H. S., Pomeroy, J. W., Pietroniro, A., and Cannon, A.: High-resolution meteorological forcing data for hydrological modelling and climate change impact analysis in the Mackenzie River Basin, Earth Syst. Sci. Data, 12, 629–645, https://doi.org/10.5194/essd-12-629-2020, 2020. a
Betterle, A. and Bellin, A.: Morphological and Hydrogeological Controls of Groundwater Flows and Water Age Distribution in Mountain Aquifers and Streams, Water Resources Research, 60, e2024WR037407, https://doi.org/10.1029/2024WR037407, 2024. a
Beven, K.: A manifesto for the equifinality thesis, Journal of Hydrology, 320, 18–36, https://doi.org/10.1016/j.jhydrol.2005.07.007, 2006. a, b, c
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Short summary
Our study explores how different data sources (snow cover, glacier mass balance, and water isotopes) can improve hydrological modeling in large mountain basins. Using a Bayesian framework, we show that isotopes are particularly useful for reducing uncertainty in low-flow conditions, while snow and glacier data help during melt seasons. By addressing equifinality, our approach enhances model reliability, improving water management and streamflow predictions in mountainous regions.
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