Articles | Volume 24, issue 8
https://doi.org/10.5194/nhess-24-2727-2024
https://doi.org/10.5194/nhess-24-2727-2024
Research article
 | 
15 Aug 2024
Research article |  | 15 Aug 2024

A large-scale validation of snowpack simulations in support of avalanche forecasting focusing on critical layers

Florian Herla, Pascal Haegeli, Simon Horton, and Patrick Mair

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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 egusphere-2023-420', Jürg Schweizer, 05 May 2023
    • AC1: 'Reply on RC1', Florian Herla, 16 Jun 2023
  • CC1: 'Comment on egusphere-2023-420', Ron Simenhois, 06 May 2023
    • AC2: 'Reply on CC1', Florian Herla, 16 Jun 2023
  • RC2: 'Comment on egusphere-2023-420', Anonymous Referee #2, 02 Apr 2024
    • AC3: 'Reply on RC2', Florian Herla, 08 May 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (20 May 2024) by Bruce D. Malamud
AR by Florian Herla on behalf of the Authors (12 Jun 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (18 Jun 2024) by Bruce D. Malamud
AR by Florian Herla on behalf of the Authors (25 Jun 2024)
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Short summary
Snowpack simulations are increasingly employed by avalanche warning services to inform about critical avalanche layers buried in the snowpack. However, validity concerns limit their operational value. We present methods that enable meaningful comparisons between snowpack simulations and regional assessments of avalanche forecasters to quantify the performance of the Canadian weather and snowpack model chain to represent thin critical avalanche layers on a large scale and in real time.
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