Articles | Volume 15, issue 2
Research article
17 Feb 2021
Research article |  | 17 Feb 2021

Multi-scale snowdrift-permitting modelling of mountain snowpack

Vincent Vionnet, Christopher B. Marsh, Brian Menounos, Simon Gascoin, Nicholas E. Wayand, Joseph Shea, Kriti Mukherjee, and John W. Pomeroy


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (21 Oct 2020) by Jürg Schweizer
AR by Vincent Vionnet on behalf of the Authors (23 Oct 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (24 Oct 2020) by Jürg Schweizer
RR by Tobias Sauter (16 Nov 2020)
RR by Rebecca Mott (21 Dec 2020)
ED: Publish as is (21 Dec 2020) by Jürg Schweizer
AR by Vincent Vionnet on behalf of the Authors (22 Dec 2020)  Author's response    Manuscript
Short summary
Mountain snow cover provides critical supplies of fresh water to downstream users. Its accurate prediction requires inclusion of often-ignored processes. A multi-scale modelling strategy is presented that efficiently accounts for snow redistribution. Model accuracy is assessed via airborne lidar and optical satellite imagery. With redistribution the model captures the elevation–snow depth relation. Redistribution processes are required to reproduce spatial variability, such as around ridges.