Articles | Volume 12, issue 7
The Cryosphere, 12, 2229–2248, 2018
https://doi.org/10.5194/tc-12-2229-2018
The Cryosphere, 12, 2229–2248, 2018
https://doi.org/10.5194/tc-12-2229-2018
Research article
11 Jul 2018
Research article | 11 Jul 2018

A Bayesian hierarchical model for glacial dynamics based on the shallow ice approximation and its evaluation using analytical solutions

Giri Gopalan et al.

Viewed

Total article views: 2,846 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,777 1,003 66 2,846 82 35 32
  • HTML: 1,777
  • PDF: 1,003
  • XML: 66
  • Total: 2,846
  • Supplement: 82
  • BibTeX: 35
  • EndNote: 32
Views and downloads (calculated since 15 Mar 2018)
Cumulative views and downloads (calculated since 15 Mar 2018)

Viewed (geographical distribution)

Total article views: 2,593 (including HTML, PDF, and XML) Thereof 2,582 with geography defined and 11 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 07 Aug 2022
Download
Short summary
Geophysical systems can often contain scientific parameters whose values are uncertain, complex underlying dynamics, and field measurements with errors. These components are naturally modeled together within what is known as a Bayesian hierarchical model (BHM). This paper constructs such a model for shallow glaciers based on an approximation of the underlying dynamics. The evaluation of this model is aided by the use of exact analytical solutions from the literature.