The Cryosphere
The Cryosphere
TC
Articles | Volume 18, issue 7
Articles | Volume 18, issue 7
https://doi.org/10.5194/tc-18-3081-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-3081-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 7
Research article
 | 
04 Jul 2024
Research article |  | 04 Jul 2024

Analyzing the sensitivity of a blowing snow model (SnowPappus) to precipitation forcing, blowing snow, and spatial resolution

Ange Haddjeri, Matthieu Baron, Matthieu Lafaysse, Louis Le Toumelin, César Deschamps-Berger, Vincent Vionnet, Simon Gascoin, Matthieu Vernay, and Marie Dumont

Viewed

Total article views: 796 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
577 180 39 796 26 22
  • HTML: 577
  • PDF: 180
  • XML: 39
  • Total: 796
  • BibTeX: 26
  • EndNote: 22
Views and downloads (calculated since 23 Nov 2023)
Cumulative views and downloads (calculated since 23 Nov 2023)

Viewed (geographical distribution)

Total article views: 796 (including HTML, PDF, and XML) Thereof 797 with geography defined and -1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 Jul 2024
Download
Short summary
Our study addresses the complex challenge of evaluating distributed alpine snow simulations with snow transport against snow depths from Pléiades stereo imagery and snow melt-out dates from Sentinel-2 and Landsat-8 satellites. Additionally, we disentangle error contributions between blowing snow, precipitation heterogeneity, and unresolved subgrid variability. Snow transport enhances the snow simulations at high elevations, while precipitation biases are the main error source in other areas.
Read more