Brief communication: Non-linear sensitivity of glacier mass balance to climate attested by temperature-index models

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Abstract

Temperature-index models have been widely used for glacier-mass projections spanning the 21st century. The ability of temperature-index models to capture non-linear responses of glacier surface mass balance (SMB) to high deviations in air temperature and solid precipitation was recently discussed in the context of mass-balance simulations employing advanced machine-learning techniques. Here, we performed numerical experiments with a classic temperature-index model and confirmed that such models are capable of detecting non-linear responses of glacier SMB to temperature and precipitation changes. Non-linearities derive from the change in the degree-day factor over the ablation season and from the lengthening of the ablation season.

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Vincent, C., & Thibert, E. (2023). Brief communication: Non-linear sensitivity of glacier mass balance to climate attested by temperature-index models. Cryosphere, 17(5), 1989–1995. https://doi.org/10.5194/tc-17-1989-2023

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