Articles | Volume 18, issue 1
https://doi.org/10.5194/nhess-18-383-2018
https://doi.org/10.5194/nhess-18-383-2018
Research article
 | 
25 Jan 2018
Research article |  | 25 Jan 2018

Automatic detection of snow avalanches in continuous seismic data using hidden Markov models

Matthias Heck, Conny Hammer, Alec van Herwijnen, Jürg Schweizer, and Donat Fäh

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Cited articles

Bessason, B., Eiriksson, G., Thorarinsson, O., Thorarinsson, A., and Einarsson, S.: Automatic detection of avalanches and debris flows by seismic methods, J. Glaciol., 53, 461–472, 2007. a, b, c, d, e
Beyreuther, M., Hammer, C., Wassermann, J., and Ohrnberger, M.: Constructing a Hidden Markov Model based earthquake detector: application to induced seismicity, Geophys. J. Int., 189, 602–610, 2012. a, b
Caplan-Auerbach, J. and Huggel, C.: Precursory seismicity associated with frequent, large ice avalanches on Iliamna volcano, Alaska, USA, J. Glaciol., 53, 128–140, https://doi.org/10.3189/172756507781833866, 2007. a
Dammeier, F., Moore, J. R., Hammer, C., Haslinger, F., and Loew, S.: Automatic detection of alpine rockslides in continuous seismic data using hidden Markov models, J. Geophys. Res.-Earth, 121, 351–371, 2016. a
Faillettaz, J., Funk, M., and Vincent, C.: Avalanching glacier instabilities: Review on processes and early warning perspectives, Rev. Geophys., 53, 203–224, https://doi.org/10.1002/2014RG000466, 2015. a
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In this study we use hidden Markov models, a machine learning algorithm to automatically identify avalanche events in a continuous seismic data set recorded during the winter 2010. With additional post processing steps, we detected around 70 avalanche events. Although not every detection could be confirmed as an avalanche, we clearly identified the two main avalanche periods of the winter season 2010 in our classification results.
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