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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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (20 Nov 2017) by Margreth Keiler
AR by Matthias Heck on behalf of the Authors (21 Nov 2017)  Author's response   Manuscript 
ED: Publish subject to technical corrections (02 Dec 2017) by Margreth Keiler
AR by Matthias Heck on behalf of the Authors (07 Dec 2017)  Manuscript 
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Short summary
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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