Articles | Volume 20, issue 6
https://doi.org/10.5194/nhess-20-1557-2020
https://doi.org/10.5194/nhess-20-1557-2020
Research article
 | 
02 Jun 2020
Research article |  | 02 Jun 2020

Enhancing the operational value of snowpack models with visualization design principles

Simon Horton, Stan Nowak, and Pascal Haegeli

Viewed

Total article views: 3,742 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,880 784 78 3,742 85 88
  • HTML: 2,880
  • PDF: 784
  • XML: 78
  • Total: 3,742
  • BibTeX: 85
  • EndNote: 88
Views and downloads (calculated since 20 Nov 2019)
Cumulative views and downloads (calculated since 20 Nov 2019)

Viewed (geographical distribution)

Total article views: 3,742 (including HTML, PDF, and XML) Thereof 3,459 with geography defined and 283 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 May 2025
Short summary
Numeric snowpack models currently offer limited value to operational avalanche forecasters. To improve the relevance and interpretability of model data, we introduce and discuss visualization principles that map model data into visual representations that can inform avalanche hazard assessments.
Share
Altmetrics
Final-revised paper
Preprint