Articles | Volume 19, issue 7
https://doi.org/10.5194/gmd-19-2903-2026
https://doi.org/10.5194/gmd-19-2903-2026
Model description paper
 | 
16 Apr 2026
Model description paper |  | 16 Apr 2026

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

Stefan Hergarten

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Cited articles

Bindschadler, R.: The importance of pressurized subglacial water in separation and sliding at the glacier bed, J. Glaciol., 29, 9–19, https://doi.org/10.3189/S0022143000005104, 1983. a, b
Braun, J., Zwartz, D., and Tomkin, J. H.: A new surface-processes model combining glacial and fluvial erosion, Ann. Glaciol., 28, 282–290, https://doi.org/10.3189/172756499781821797, 1999. a, b, c
Bueler, E.: Stable finite volume element schemes for the shallow-ice approximation, J. Glaciol., 62, 230–242, https://doi.org/10.1017/jog.2015.3, 2016. a
Bueler, E.: Performance analysis of high-resolution ice-sheet simulations, J. Glaciol., 69, 930–935, https://doi.org/10.1017/jog.2022.113, 2023. a
Bueler, E. and Brown, J.: Shallow shelf approximation as a “sliding law” in a thermomechanically coupled ice sheet model, J. Geophys. Res.-Earth, 114, F03008, https://doi.org/10.1029/2008JF001179, 2009. a
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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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