Biogeosciences
Biogeosciences
BG
Articles | Volume 22, issue 18
Articles | Volume 22, issue 18
https://doi.org/10.5194/bg-22-5031-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-22-5031-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 18
Research article
 | 
29 Sep 2025
Research article |  | 29 Sep 2025

Snow thermal conductivity controls future winter carbon emissions in shrub–tundra

Johnny Rutherford, Nick Rutter, Leanne Wake, and Alex J. Cannon

Viewed

Total article views: 4,664 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,756 660 248 4,664 178 246
  • HTML: 3,756
  • PDF: 660
  • XML: 248
  • Total: 4,664
  • BibTeX: 178
  • EndNote: 246
Views and downloads (calculated since 13 Aug 2024)
Cumulative views and downloads (calculated since 13 Aug 2024)

Viewed (geographical distribution)

Total article views: 4,664 (including HTML, PDF, and XML) Thereof 4,664 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 09 Jun 2026
Download
Short summary
The Arctic winter is vulnerable to climate warming, and ~1700 Gt of carbon stored in high-latitude permafrost ecosystems is at risk of degradation in the future due to enhanced microbial activity. Poorly represented cold season processes, such as the simulation of snow thermal conductivity in land surface models (LSMs), cause uncertainty in projected carbon emission simulations. Improved snow conductivity parameterization in CLM5.0 significantly increases predicted winter CO2 emissions to 2100.
Read more
Share
Altmetrics
Final-revised paper
Preprint