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.

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Stefan Hergarten

Status: final response (author comments only)

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
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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