Articles | Volume 20, issue 4
https://doi.org/10.5194/tc-20-2469-2026
https://doi.org/10.5194/tc-20-2469-2026
Research article
 | 
27 Apr 2026
Research article |  | 27 Apr 2026

Impact of spatial resolution on large-scale ice cover modelling of mountainous regions

Helen Werner, Dirk Scherler, Tancrède P. M. Leger, Guillaume Jouvet, and Ricarda Winkelmann

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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-2025-3870', Anonymous Referee #1, 20 Oct 2025
    • AC1: 'Reply on RC1', Helen Werner, 18 Dec 2025
  • RC2: 'Comment on egusphere-2025-3870', Anonymous Referee #2, 04 Nov 2025
    • AC2: 'Reply on RC2', Helen Werner, 18 Dec 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (20 Dec 2025) by Carlos Martin
AR by Helen Werner on behalf of the Authors (29 Jan 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (26 Feb 2026) by Carlos Martin
RR by Anonymous Referee #2 (09 Mar 2026)
RR by Anonymous Referee #1 (19 Mar 2026)
ED: Publish subject to minor revisions (review by editor) (26 Mar 2026) by Carlos Martin
AR by Helen Werner on behalf of the Authors (05 Apr 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (09 Apr 2026) by Carlos Martin
AR by Helen Werner on behalf of the Authors (15 Apr 2026)  Manuscript 
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Short summary
Coarse spatial resolutions reduce computational costs but poorly resolve complex topographies. Our simulations of an alpine ice field at 50 m to 2 km resolution show similar ice areas, yet much higher volumes at coarser resolutions. Resolutions of 300 m and finer accurately capture topographically constrained flow, while coarse resolutions flatten mountain slopes and peaks, affecting ice velocities, thickness, and thermal regimes which emphasizes the need for sufficiently high-resolution models.
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