The Cryosphere
The Cryosphere
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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

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Cited articles

Anvari, M., Rahimi Tabar, M., Peinke, J., and Lehnertz, K.: Disentangling the stochastic behaviour of complex time series, Nature Scientific Reports, 6, 35435, https://doi.org/10.1038/srep35435, 2016. a, b, c, d
Bader, H. and Niggli, P.: Der Schnee und seine Metamorphose: Erste Ergebnisse und Anwendungen einer systematischen Untersuchung der alpinen Winterschneedecke. Durchgeführt von der Station Weissfluhjoch-Davos der Schweiz. Schnee- und Lawinenforschungskommission 1934–1938, Kümmerly and Frey, https://books.google.de/books?id=-2V8RQAACAAJ (last access: 25 November 2022), 1939. a
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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.
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