Articles | Volume 17, issue 5
https://doi.org/10.5194/tc-17-1989-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-1989-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication: Non-linear sensitivity of glacier mass balance to climate attested by temperature-index models
Christian Vincent
CORRESPONDING AUTHOR
Université Grenoble Alpes, CNRS, IRD, Grenoble-INP, INRAE, Institut des
Géosciences de l'Environnement (IGE, UMR 5001), 38000 Grenoble,
France
Emmanuel Thibert
CORRESPONDING AUTHOR
Université Grenoble Alpes, CNRS, IRD, Grenoble-INP, INRAE, Institut des
Géosciences de l'Environnement (IGE, UMR 5001), 38000 Grenoble,
France
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Short summary
Temperature-index models have been widely used for glacier mass projections in the future. The ability of these models to capture non-linear responses of glacier mass balance (MB) to high deviations in air temperature and solid precipitation has recently been questioned by mass balance simulations employing advanced machine-learning techniques. Here, we confirmed that temperature-index models are capable of detecting non-linear responses of glacier MB to temperature and precipitation changes.
Temperature-index models have been widely used for glacier mass projections in the future. The...