Articles | Volume 23, issue 6
https://doi.org/10.5194/nhess-23-2089-2023
https://doi.org/10.5194/nhess-23-2089-2023
Research article
 | 
13 Jun 2023
Research article |  | 13 Jun 2023

Large-scale risk assessment on snow avalanche hazard in alpine regions

Gregor Ortner, Michael Bründl, Chahan M. Kropf, Thomas Röösli, Yves Bühler, and David N. Bresch

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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 nhess-2022-112', Pascal Haegeli, 06 Aug 2022
    • AC1: 'Reply on RC1', Gregor Ortner, 08 Aug 2022
    • AC2: 'Reply on RC1 and RC2', Gregor Ortner, 21 Dec 2022
  • RC2: 'Comment on nhess-2022-112', Anonymous Referee #2, 10 Nov 2022
    • AC1: 'Reply on RC1', Gregor Ortner, 08 Aug 2022
    • AC3: 'Reply on RC1 and RC2', Gregor Ortner, 21 Dec 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (30 Dec 2022) by Paolo Tarolli
AR by Gregor Ortner on behalf of the Authors (10 Feb 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (13 Feb 2023) by Paolo Tarolli
RR by Anonymous Referee #2 (24 Feb 2023)
RR by Pascal Haegeli (12 Mar 2023)
ED: Publish subject to minor revisions (review by editor) (20 Mar 2023) by Paolo Tarolli
AR by Gregor Ortner on behalf of the Authors (06 Apr 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (23 Apr 2023) by Paolo Tarolli
AR by Gregor Ortner on behalf of the Authors (03 May 2023)  Author's response   Manuscript 
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Short summary
This paper presents a new approach to assess avalanche risk on a large scale in mountainous regions. It combines a large-scale avalanche modeling method with a state-of-the-art probabilistic risk tool. Over 40 000 individual avalanches were simulated, and a building dataset with over 13 000 single buildings was investigated. With this new method, risk hotspots can be identified and surveyed. This enables current and future risk analysis to assist decision makers in risk reduction and adaptation.
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