Articles | Volume 9, issue 3
https://doi.org/10.5194/tc-9-1265-2015
https://doi.org/10.5194/tc-9-1265-2015
Research article
 | 
22 Jun 2015
Research article |  | 22 Jun 2015

Automatic monitoring of the effective thermal conductivity of snow in a low-Arctic shrub tundra

F. Domine, M. Barrere, D. Sarrazin, S. Morin, and L. Arnaud

Viewed

Total article views: 2,997 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,630 1,198 169 2,997 160 161
  • HTML: 1,630
  • PDF: 1,198
  • XML: 169
  • Total: 2,997
  • BibTeX: 160
  • EndNote: 161
Views and downloads (calculated since 13 Mar 2015)
Cumulative views and downloads (calculated since 13 Mar 2015)

Cited

Saved (final revised paper)

Saved (preprint)

Latest update: 28 Mar 2024
Download
Short summary
The thermal conductivity of Arctic snow strongly impacts ground temperature, nutrient recycling and vegetation growth. We have monitored the thermal conductivity of snow in low-Arctic shrub tundra for two consecutive winters using heated needle probes. We observe very different thermal conductivity evolutions in both winters studied, with more extensive melting in the second winter. Results illustrate the effect of vegetation on snow properties and the need to include it in snow physics models.