The Cryosphere
The Cryosphere
TC
Articles | Volume 16, issue 12
Articles | Volume 16, issue 12
https://doi.org/10.5194/tc-16-4811-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-4811-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 12
Research article
 | 
02 Dec 2022
Research article |  | 02 Dec 2022

Stochastic analysis of micro-cone penetration tests in snow

Pyei Phyo Lin, Isabel Peinke, Pascal Hagenmuller, Matthias Wächter, M. Reza Rahimi Tabar, and Joachim Peinke

Viewed

Total article views: 1,767 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,256 456 55 1,767 56 42
  • HTML: 1,256
  • PDF: 456
  • XML: 55
  • Total: 1,767
  • BibTeX: 56
  • EndNote: 42
Views and downloads (calculated since 16 Jun 2022)
Cumulative views and downloads (calculated since 16 Jun 2022)

Viewed (geographical distribution)

Total article views: 1,767 (including HTML, PDF, and XML) Thereof 1,715 with geography defined and 52 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2025
Download
Short summary
Characterization of layers of snowpack with highly resolved micro-cone penetration tests leads to detailed fluctuating signals. We used advanced stochastic analysis to differentiate snow types by interpreting the signals as a mixture of continuous and discontinuous random fluctuations. These two types of fluctuation seem to correspond to different mechanisms of drag force generation during the experiments. The proposed methodology provides new insights into the characterization of snow layers.
Read more
Share