Articles | Volume 18, issue 10
https://doi.org/10.5194/tc-18-4607-2024
https://doi.org/10.5194/tc-18-4607-2024
Research article
 | 
08 Oct 2024
Research article |  | 08 Oct 2024

Exploring the potential of forest snow modeling at the tree and snowpack layer scale

Giulia Mazzotti, Jari-Pekka Nousu, Vincent Vionnet, Tobias Jonas, Rafife Nheili, and Matthieu Lafaysse

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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-2023-2781', Anonymous Referee #1, 03 Apr 2024
    • AC1: 'Reply on RC1', Giulia Mazzotti, 02 Jul 2024
  • RC2: 'Comment on egusphere-2023-2781', Anonymous Referee #2, 06 May 2024
    • AC2: 'Reply on RC2', Giulia Mazzotti, 02 Jul 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) (29 Jul 2024) by Alexandre Langlois
AR by Giulia Mazzotti on behalf of the Authors (07 Aug 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (08 Aug 2024) by Alexandre Langlois
AR by Giulia Mazzotti on behalf of the Authors (13 Aug 2024)  Author's response   Manuscript 
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Short summary
As many boreal and alpine forests have seasonal snow, models are needed to predict forest snow under future environmental conditions. We have created a new forest snow model by combining existing, very detailed model components for the canopy and the snowpack. We applied it to forests in Switzerland and Finland and showed how complex forest cover leads to a snowpack layering that is very variable in space and time because different processes prevail at different locations in the forest.