Articles | Volume 24, issue 8
https://doi.org/10.5194/hess-24-4061-2020
https://doi.org/10.5194/hess-24-4061-2020
Research article
 | 
21 Aug 2020
Research article |  | 21 Aug 2020

Sensitivity of snow models to the accuracy of meteorological forcings in mountain environments

Silvia Terzago, Valentina Andreoli, Gabriele Arduini, Gianpaolo Balsamo, Lorenzo Campo, Claudio Cassardo, Edoardo Cremonese, Daniele Dolia, Simone Gabellani, Jost von Hardenberg, Umberto Morra di Cella, Elisa Palazzi, Gaia Piazzi, Paolo Pogliotti, and Antonello Provenzale

Viewed

Total article views: 3,947 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,624 1,225 98 3,947 82 84
  • HTML: 2,624
  • PDF: 1,225
  • XML: 98
  • Total: 3,947
  • BibTeX: 82
  • EndNote: 84
Views and downloads (calculated since 25 Nov 2019)
Cumulative views and downloads (calculated since 25 Nov 2019)

Viewed (geographical distribution)

Total article views: 3,947 (including HTML, PDF, and XML) Thereof 3,570 with geography defined and 377 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
In mountain areas high-quality meteorological data to drive snow models are rarely available, so coarse-resolution data from spatial interpolation of the available in situ measurements or reanalyses are typically employed. We perform 12 experiments using six snow models with different degrees of complexity to show the impact of the accuracy of the forcing on snow depth and snow water equivalent simulations at the Alpine site of Torgnon, discussing the results in relation to the model complexity.