A fully implicit second order method for viscous free surface Stokes flow – application to glacier simulations

Abstract. We present a fully implicit finite element method for viscous free surface Stokes problems which are common in glaciology and geodynamics. Standard fully implicit iterative solvers diverge for such problems when using large time steps. We address this by incorporating a stabilization term that vanishes upon convergence. This approach enables the use of large time steps, thereby significantly improving the efficiency of simulations. Furthermore, we leverage the fully implicit solver to develop second-order time-stepping schemes that mitigate the high errors associated with first-order methods for large time steps. The methods are tested and evaluated on model domains relevant to geodynamics and glaciology.

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Publication Details

Journal
Geoscientific model development
Published
2026-03-23
DOI
https://doi.org/10.5194/gmd-19-2333-2026
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
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article

A fully implicit second order method for viscous free surface Stokes flow – application to glacier simulations

André Löfgren, Josefin Ahlkrona, A. Clara J. Henry
Geoscientific model development
Advanced Numerical Methods in Computational Mathematics
article

A fully implicit second order method for viscous free surface Stokes flow – application to glacier simulations

André Löfgren, Josefin Ahlkrona, A. Clara J. Henry
article en

Abstract

Abstract. We present a fully implicit finite element method for viscous free surface Stokes problems which are common in glaciology and geodynamics. Standard fully implicit iterative solvers diverge for such problems when using large time steps. We address this by incorporating a stabilization term that vanishes upon convergence. This approach enables the use of large time steps, thereby significantly improving the efficiency of simulations. Furthermore, we leverage the fully implicit solver to develop second-order time-stepping schemes that mitigate the high errors associated with first-order methods for large time steps. The methods are tested and evaluated on model domains relevant to geodynamics and glaciology.

Geoscientific model developmentVol. 19(6)
Stockholm University (SE), Swedish e-Science Research Centre (SE), Bolin Centre for Climate Research (SE)
Openalex Percentile: Top 8%
Advanced Numerical Methods in Computational Mathematics
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