Articles | Volume 17, issue 8
https://doi.org/10.5194/tc-17-3505-2023
https://doi.org/10.5194/tc-17-3505-2023
Research article
 | 
24 Aug 2023
Research article |  | 24 Aug 2023

Investigating the thermal state of permafrost with Bayesian inverse modeling of heat transfer

Brian Groenke, Moritz Langer, Jan Nitzbon, Sebastian Westermann, Guillermo Gallego, and Julia Boike

Viewed

Total article views: 1,487 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
913 515 59 1,487 41 39 37
  • HTML: 913
  • PDF: 515
  • XML: 59
  • Total: 1,487
  • Supplement: 41
  • BibTeX: 39
  • EndNote: 37
Views and downloads (calculated since 25 Jul 2022)
Cumulative views and downloads (calculated since 25 Jul 2022)

Viewed (geographical distribution)

Total article views: 1,487 (including HTML, PDF, and XML) Thereof 1,439 with geography defined and 48 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 May 2024
Download
Short summary
It is now well known from long-term temperature measurements that Arctic permafrost, i.e., ground that remains continuously frozen for at least 2 years, is warming in response to climate change. Temperature, however, only tells half of the story. In this study, we use computer modeling to better understand how the thawing and freezing of water in the ground affects the way permafrost responds to climate change and what temperature trends can and cannot tell us about how permafrost is changing.