Articles | Volume 30, issue 9
https://doi.org/10.5194/hess-30-2613-2026
https://doi.org/10.5194/hess-30-2613-2026
Research article
 | 
04 May 2026
Research article |  | 04 May 2026

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

Data sets

NH-SWE: Northern Hemisphere Snow Water Equivalent dataset based on in-situ snow depth time series and the regionalisation of the ΔSNOW model A. Fontrodona-Bach et al. https://doi.org/10.5281/zenodo.7565252

Code for analysis and figure production of HESS-2026 paper doi:10.5194/egusphere-2025-1214 (TImodelling) A. Fontrodona-Bach https://doi.org/10.5281/zenodo.19613695

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Short summary
Investigating changing snow in response to global warming can be done with a simple model and only temperature and precipitation data, simplifying snow dynamics with assumptions and parameters. We provide a large-scale and long-term evaluation of this approach and its performance across diverse climates. Temperature thresholds are more robust over cold climates but melt parameters are more robust over warmer climates with deep snow. The model performs well across climates despite its simplicity.
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