Preprints
https://doi.org/10.5194/egusphere-2025-2242
https://doi.org/10.5194/egusphere-2025-2242
25 Jun 2025
 | 25 Jun 2025

MinSIA v1: a lightweight and efficient implementation of the shallow ice approximation

Stefan Hergarten

Abstract. Simulations of ice flow have recently been boosted to an unprecedented numerical performance by machine learning techniques. This paper aims at keeping classical numerics competitive in this field. It introduces a new numerical scheme for the shallow ice approximation. Key features are a semi-implicit time-stepping scheme in combination with a dynamic smoothing of the nonlinearity in the slope-dependence of the flow velocity. As a first step, the software MinSIA presented here provides a lightweight implementation of the new scheme in MATLAB. An implementation in Python is under development. MinSIA is designed for simulations with several million nodes on standard desktop PCs and allows for spatial resolutions of 25 m or even finer. The numerical scheme performs particularly well for heavily glaciated topographies with moderately inclined ice surfaces. In turn, the advantage of the scheme decreases slightly for alpine topographies with steep walls during phases of moderate glaciation.

Competing interests: The author is a member of the editorial board of Geoscientific Model Development. The peer-review process was guided by an independent editor, and the author also has no other competing interests to declare.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Journal article(s) based on this preprint

16 Apr 2026
MinSIA v1: a lightweight and efficient implementation of the shallow ice approximation
Stefan Hergarten
Geosci. Model Dev., 19, 2903–2917, https://doi.org/10.5194/gmd-19-2903-2026,https://doi.org/10.5194/gmd-19-2903-2026, 2026
Short summary
Stefan Hergarten

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-2242', Daniel Moreno-Parada, 31 Jul 2025
    • AC1: 'Reply on RC1', Stefan Hergarten, 26 Aug 2025
  • RC2: 'Comment on egusphere-2025-2242', Thomas Zwinger, 29 Aug 2025
    • AC2: 'Reply on RC2', Stefan Hergarten, 03 Sep 2025
      • RC3: 'Reply on AC2', Thomas Zwinger, 05 Sep 2025
        • AC3: 'Reply on RC3', Stefan Hergarten, 10 Sep 2025
  • EC1: 'Comment on egusphere-2025-2242', Ludovic Räss, 08 Sep 2025

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-2242', Daniel Moreno-Parada, 31 Jul 2025
    • AC1: 'Reply on RC1', Stefan Hergarten, 26 Aug 2025
  • RC2: 'Comment on egusphere-2025-2242', Thomas Zwinger, 29 Aug 2025
    • AC2: 'Reply on RC2', Stefan Hergarten, 03 Sep 2025
      • RC3: 'Reply on AC2', Thomas Zwinger, 05 Sep 2025
        • AC3: 'Reply on RC3', Stefan Hergarten, 10 Sep 2025
  • EC1: 'Comment on egusphere-2025-2242', Ludovic Räss, 08 Sep 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Stefan Hergarten on behalf of the Authors (07 Oct 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (09 Oct 2025) by Ludovic Räss
RR by Daniel Moreno-Parada (11 Nov 2025)
ED: Reconsider after major revisions (17 Nov 2025) by Ludovic Räss
AR by Stefan Hergarten on behalf of the Authors (26 Dec 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (19 Jan 2026) by Ludovic Räss
AR by Stefan Hergarten on behalf of the Authors (19 Feb 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (17 Mar 2026) by Ludovic Räss
AR by Stefan Hergarten on behalf of the Authors (18 Mar 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (23 Mar 2026) by Ludovic Räss
AR by Stefan Hergarten on behalf of the Authors (26 Mar 2026)  Manuscript 

Journal article(s) based on this preprint

16 Apr 2026
MinSIA v1: a lightweight and efficient implementation of the shallow ice approximation
Stefan Hergarten
Geosci. Model Dev., 19, 2903–2917, https://doi.org/10.5194/gmd-19-2903-2026,https://doi.org/10.5194/gmd-19-2903-2026, 2026
Short summary
Stefan Hergarten

Model code and software

MinSIA v1: a lightweight and efficient implementation of the shallow ice approximation Stefan Hergarten https://doi.org/10.5281/zenodo.15362846

Video supplement

MInSIA examples Stefan Hergarten http://hergarten.at/minsia/examples/index.php

Stefan Hergarten

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Short summary
Numerical glacier and ice-sheet models have been widely used in the context of climate change and landform evolution. While simulations of ice flow were numerically expensive for a long time, their performance has recently been boosted to an unprecedented level by machine learning techniques. This paper aims at keeping classical numerics competitive by introducing a novel numerical scheme, which allows for simulations at spatial resolutions of 25 m or even finer on standard desktop PCs.
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