Articles | Volume 18, issue 9
https://doi.org/10.5194/tc-18-4315-2024
https://doi.org/10.5194/tc-18-4315-2024
Research article
 | 
19 Sep 2024
Research article |  | 19 Sep 2024

Seasonal snow–atmosphere modeling: let's do it

Dylan Reynolds, Louis Quéno, Michael Lehning, Mahdi Jafari, Justine Berg, Tobias Jonas, Michael Haugeneder, and Rebecca Mott

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2024-489', Yang Yu, 23 Apr 2024
  • RC1: 'Comment on egusphere-2024-489', Manuel Tobias Blau, 11 May 2024
    • AC1: 'Reply on RC1', Dylan Reynolds, 30 May 2024
  • RC2: 'Comment on egusphere-2024-489', Anonymous Referee #2, 27 May 2024
    • AC2: 'Reply on RC2', Dylan Reynolds, 05 Jun 2024

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) (10 Jun 2024) by Masashi Niwano
AR by Dylan Reynolds on behalf of the Authors (15 Jun 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (24 Jun 2024) by Masashi Niwano
AR by Dylan Reynolds on behalf of the Authors (24 Jun 2024)
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Short summary
Information about atmospheric variables is needed to produce simulations of mountain snowpacks. We present a model that can represent processes that shape mountain snowpack, focusing on the accumulation of snow. Simulations show that this model can simulate the complex path that a snowflake takes towards the ground and that this leads to differences in the distribution of snow by the end of winter. Overall, this model shows promise with regard to improving forecasts of snow in mountains.