Articles | Volume 25, issue 4
https://doi.org/10.5194/hess-25-2109-2021
https://doi.org/10.5194/hess-25-2109-2021
Research article
 | 
20 Apr 2021
Research article |  | 20 Apr 2021

Learning about precipitation lapse rates from snow course data improves water balance modeling

Francesco Avanzi, Giulia Ercolani, Simone Gabellani, Edoardo Cremonese, Paolo Pogliotti, Gianluca Filippa, Umberto Morra di Cella, Sara Ratto, Hervè Stevenin, Marco Cauduro, and Stefano Juglair

Viewed

Total article views: 2,712 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,734 936 42 2,712 266 38 43
  • HTML: 1,734
  • PDF: 936
  • XML: 42
  • Total: 2,712
  • Supplement: 266
  • BibTeX: 38
  • EndNote: 43
Views and downloads (calculated since 26 Nov 2020)
Cumulative views and downloads (calculated since 26 Nov 2020)

Viewed (geographical distribution)

Total article views: 2,712 (including HTML, PDF, and XML) Thereof 2,523 with geography defined and 189 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 12 Jun 2024
Download
Short summary
Precipitation tends to increase with elevation, but the magnitude and distribution of this enhancement remain poorly understood. By leveraging over 11 000 spatially distributed, manual measurements of snow depth (snow courses) upstream of two reservoirs in the western European Alps, we show that these courses bear a characteristic signature of orographic precipitation. This opens a window of opportunity for improved modeling accuracy and, ultimately, our understanding of the water budget.