The Cryosphere
The Cryosphere
TC
Articles | Volume 20, issue 2
Articles | Volume 20, issue 2
https://doi.org/10.5194/tc-20-1315-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-1315-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 2
Research article
 | 
23 Feb 2026
Research article |  | 23 Feb 2026

Simulating snow properties and Ku-band backscatter across the forest-tundra ecotone

Georgina J. Woolley, Nick Rutter, Leanne Wake, Vincent Vionnet, Chris Derksen, Julien Meloche, Benoit Montpetit, Nicolas R. Leroux, Richard Essery, Gabriel Hould Gosselin, and Philip Marsh

Viewed

Total article views: 4,211 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,252 804 155 4,211 146 159
  • HTML: 3,252
  • PDF: 804
  • XML: 155
  • Total: 4,211
  • BibTeX: 146
  • EndNote: 159
Views and downloads (calculated since 12 May 2025)
Cumulative views and downloads (calculated since 12 May 2025)

Viewed (geographical distribution)

Total article views: 4,211 (including HTML, PDF, and XML) Thereof 4,135 with geography defined and 76 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 Jul 2026
Download
Short summary
The impact of uncertainties in the simulation of density and specific surface area (SSA) by the snow model Crocus (embedded in the Soil, Vegetation and Snow v2 land surface model) on the simulation of snow backscatter (13.5 GHz) using the Snow Microwave Radiative Transfer model were quantified. The simulation of SSA was found to be a key model uncertainty. Underestimated SSA values lead to high errors in the simulation of backscatter, reduced by implementing a minimum SSA value (8.7 m2 kg−1).
Read more
Share