Articles | Volume 17, issue 6
https://doi.org/10.5194/tc-17-2245-2023
https://doi.org/10.5194/tc-17-2245-2023
Research article
 | 
05 Jun 2023
Research article |  | 05 Jun 2023

Combining modelled snowpack stability with machine learning to predict avalanche activity

Léo Viallon-Galinier, Pascal Hagenmuller, and Nicolas Eckert

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2022-108', Frank Techel, 28 Jun 2022
  • RC2: 'Comment on tc-2022-108', Karl W. Birkeland, 15 Aug 2022
  • RC3: 'Comment on tc-2022-108', Simon Horton, 17 Aug 2022
    • AC3: 'Reply on RC3', Léo Viallon-Galinier, 14 Oct 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (23 Oct 2022) by Jürg Schweizer
AR by Léo Viallon-Galinier on behalf of the Authors (25 Nov 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to revisions (further review by editor and referees) (25 Nov 2022) by Jürg Schweizer
ED: Referee Nomination & Report Request started (28 Nov 2022) by Jürg Schweizer
RR by Simon Horton (10 Dec 2022)
RR by Frank Techel (28 Dec 2022)
ED: Publish subject to revisions (further review by editor and referees) (05 Jan 2023) by Jürg Schweizer
AR by Léo Viallon-Galinier on behalf of the Authors (10 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (11 Mar 2023) by Jürg Schweizer
RR by Simon Horton (27 Mar 2023)
RR by Frank Techel (06 Apr 2023)
ED: Publish subject to minor revisions (review by editor) (16 Apr 2023) by Jürg Schweizer
AR by Léo Viallon-Galinier on behalf of the Authors (27 Apr 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (28 Apr 2023) by Jürg Schweizer
AR by Léo Viallon-Galinier on behalf of the Authors (10 May 2023)  Manuscript 
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Short summary
Avalanches are a significant issue in mountain areas where they threaten recreationists and human infrastructure. Assessments of avalanche hazards and the related risks are therefore an important challenge for local authorities. Meteorological and snow cover simulations are thus important to support operational forecasting. In this study we combine it with mechanical analysis of snow profiles and find that observed avalanche data improve avalanche activity prediction through statistical methods.