Articles | Volume 18, issue 9
https://doi.org/10.5194/tc-18-4053-2024
https://doi.org/10.5194/tc-18-4053-2024
Research article
 | 
06 Sep 2024
Research article |  | 06 Sep 2024

On the importance to consider the cloud dependence in parameterizing the albedo of snow on sea ice

Lara Foth, Wolfgang Dorn, Annette Rinke, Evelyn Jäkel, and Hannah Niehaus

Viewed

Total article views: 2,220 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,799 318 103 2,220 85 97 155
  • HTML: 1,799
  • PDF: 318
  • XML: 103
  • Total: 2,220
  • Supplement: 85
  • BibTeX: 97
  • EndNote: 155
Views and downloads (calculated since 11 Apr 2023)
Cumulative views and downloads (calculated since 11 Apr 2023)

Viewed (geographical distribution)

Total article views: 2,220 (including HTML, PDF, and XML) Thereof 2,154 with geography defined and 66 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Dec 2025
Download
Short summary
It is demonstrated that the explicit consideration of the cloud dependence of the snow surface albedo in a climate model results in a more realistic simulation of the surface albedo during the snowmelt period in late May and June. Although this improvement appears to be relatively insubstantial, it has significant impact on the simulated sea-ice volume and extent in the model due to an amplification of the snow/sea-ice albedo feedback, one of the main contributors to Arctic amplification.
Share