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- Title
Brief communication: Nonlinear sensitivity of glacier-mass balance attested by temperature-index models.
- Authors
Vincent, Christian; Thibert, Emmanuel
- Abstract
Temperature-index models have been widely used for glacier-mass projections over the 21st century. The ability of temperature-index models to capture nonlinear responses of glacier mass balance (MB) to high deviations in air temperature and solid precipitation has recently been questioned by mass15 balance simulations employing advanced machine-learning techniques. Here, we performed numerical experiments with a classic and simple temperature-index model and confirmed that such models are capable of detecting nonlinear responses of glacier MB to temperature and precipitation changes. Nonlinearities derive from the change of the degree-day factor over the ablation season and from the lengthening of the ablation season.
- Subjects
ATMOSPHERIC temperature; MACHINE learning; GLACIERS; ALPINE glaciers
- Publication
Cryosphere Discussions, 2022, p1
- ISSN
1994-0432
- Publication type
Article
- DOI
10.5194/tc-2022-210