Preprints
https://doi.org/10.5194/tc-2022-210
https://doi.org/10.5194/tc-2022-210
 
28 Oct 2022
28 Oct 2022
Status: this preprint is currently under review for the journal TC.

Brief communication: Nonlinear sensitivity of glacier-mass balance attested by temperature-index models

Christian Vincent and Emmanuel Thibert Christian Vincent and Emmanuel Thibert
  • Université Grenoble Alpes, CNRS, IRD, Grenoble-INP, INRAE, Institut des Géosciences de l’Environnement (IGE, UMR 5001), F-38000 Grenoble, France

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 mass-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.

Christian Vincent and Emmanuel Thibert

Status: open (until 05 Jan 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Review of Vincent and Thibert', Jordi Bolibar, 24 Nov 2022 reply
  • RC2: 'Comment on tc-2022-210', Anonymous Referee #2, 05 Dec 2022 reply

Christian Vincent and Emmanuel Thibert

Christian Vincent and Emmanuel Thibert

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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 nonlinear 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 nonlinear responses of glacier MB to temperature and precipitation changes.