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

Viewed

Total article views: 2,929 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,984 868 77 2,929 199 65 67
  • HTML: 1,984
  • PDF: 868
  • XML: 77
  • Total: 2,929
  • Supplement: 199
  • BibTeX: 65
  • EndNote: 67
Views and downloads (calculated since 21 Apr 2021)
Cumulative views and downloads (calculated since 21 Apr 2021)

Viewed (geographical distribution)

Total article views: 2,929 (including HTML, PDF, and XML) Thereof 2,832 with geography defined and 97 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2025
Download
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.
Share