Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 1
Articles | Volume 14, issue 1
https://doi.org/10.5194/gmd-14-239-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-239-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 1
Methods for assessment of models
 | 
15 Jan 2021
Methods for assessment of models |  | 15 Jan 2021

Snow profile alignment and similarity assessment for aggregating, clustering, and evaluating snowpack model output for avalanche forecasting

Florian Herla, Simon Horton, Patrick Mair, and Pascal Haegeli

Viewed

Total article views: 2,255 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,435 758 62 2,255 304 60 58
  • HTML: 1,435
  • PDF: 758
  • XML: 62
  • Total: 2,255
  • Supplement: 304
  • BibTeX: 60
  • EndNote: 58
Views and downloads (calculated since 10 Aug 2020)
Cumulative views and downloads (calculated since 10 Aug 2020)

Viewed (geographical distribution)

Total article views: 2,255 (including HTML, PDF, and XML) Thereof 2,065 with geography defined and 190 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
The adoption of snowpack models in support of avalanche forecasting has been limited. To promote their operational application, we present a numerical method for processing multivariate snow stratigraphy profiles of mixed data types. Our algorithm enables applications like dynamical grouping and summarizing of model simulations, model evaluation, and data assimilation. By emulating the human analysis process, our approach will allow forecasters to familiarly interact with snowpack simulations.
Read more