Articles | Volume 16, issue 8
https://doi.org/10.5194/tc-16-3071-2022
https://doi.org/10.5194/tc-16-3071-2022
Research article
 | 
02 Aug 2022
Research article |  | 02 Aug 2022

Modelling glacier mass balance and climate sensitivity in the context of sparse observations: application to Saskatchewan Glacier, western Canada

Christophe Kinnard, Olivier Larouche, Michael N. Demuth, and Brian Menounos

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Latest update: 13 Dec 2024
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Short summary
This study implements a physically based, distributed glacier mass balance model in a context of sparse direct observations. Carefully constraining model parameters with ancillary data allowed for accurately reconstructing the mass balance of Saskatchewan Glacier over a 37-year period. We show that the mass balance sensitivity to warming is dominated by increased melting and that changes in glacier albedo and air humidity are the leading causes of increased glacier melt under warming scenarios.