Articles | Volume 19, issue 12
https://doi.org/10.5194/tc-19-6547-2025
https://doi.org/10.5194/tc-19-6547-2025
Research article
 | 
05 Dec 2025
Research article |  | 05 Dec 2025

Assessing uncertainties in modeling the climate of the Siberian frozen soils by contrasting CMIP6 and LS3MIP

Zhicheng Luo, Danny Risto, and Bodo Ahrens

Viewed

Total article views: 1,267 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,064 158 45 1,267 34 55
  • HTML: 1,064
  • PDF: 158
  • XML: 45
  • Total: 1,267
  • BibTeX: 34
  • EndNote: 55
Views and downloads (calculated since 10 Feb 2025)
Cumulative views and downloads (calculated since 10 Feb 2025)

Viewed (geographical distribution)

Total article views: 1,267 (including HTML, PDF, and XML) Thereof 1,211 with geography defined and 56 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
Climate models face challenges in accurately simulating cold regions' soil temperatures and snow conditions. By comparing different models, we found that the land surface models have a strong impact on simulation errors. Additionally, they struggle to account for snow’s insulating effect on the ground properly. Our findings highlight the need for improving frozen soil simulation, which is crucial for understanding the climate impacts of frozen soil.
Share