A 240-year history of avalanche risk in the Vosges Mountains based on non-conventional (re)sources

Giacona, Florie; Eckert, Nicolas; Martin, Brice

doi:https://doi.org/10.5194/nhess-17-887-2017

Articles | Volume 17, issue 6

https://doi.org/10.5194/nhess-17-887-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-17-887-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 6

Research article

|

16 Jun 2017

Research article |

| 16 Jun 2017

A 240-year history of avalanche risk in the Vosges Mountains based on non-conventional (re)sources

Florie Giacona, Nicolas Eckert, and Brice Martin

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Final revised paper (published on 16 Jun 2017)
Preprint (discussion started on 19 Dec 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of manuscript NHESS-2016-395', Anonymous Referee #1, 18 Jan 2017
- AC2: 'Detailed response to review', NE Eckert, 03 Apr 2017
RC2: 'Review Giacona et al', Anonymous Referee #2, 21 Feb 2017
- AC3: 'Detailed response to review', NE Eckert, 03 Apr 2017
AC1: 'Cover letter', NE Eckert, 03 Apr 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after major revisions (further review by Editor and Referees) (09 Apr 2017) by Sven Fuchs

AR by NE Eckert on behalf of the Authors (27 Apr 2017) Author's response Manuscript

ED: Publish subject to technical corrections (01 May 2017) by Sven Fuchs

AR by NE Eckert on behalf of the Authors (02 May 2017) Author's response Manuscript

Short summary

This article implements a combination of historical and geographical methods leading to the reconstruction in the Vosges Massif of more than 700 avalanches that have occurred since the late eighteenth century. Results confirm the role of the historian in contextualizing and evaluating such data and transforming them into information relevant for understanding risk changes. This approach is of great utility when conventional sources are sparse and problematic to assemble.