A numerical stabilization scheme for the shallow shelf approximation
Tilda Westling Dolling, A. Clara J. Henry, Josefin Ahlkrona
TL;DR
The paper addresses the stability bottleneck of depth-averaged SSA ice-sheet simulations by introducing the Thickness Stabilization Scheme (TSS), which mimics an implicit driving-stress treatment without solving a full 3D velocity field. TSS modifies the SSA weak form by replacing the current thickness term with a predicted next-step thickness, controlled by a stabilization parameter $\theta$, and is complemented by an artificial-viscosity term to suppress spurious oscillations. Numerical experiments in a 2D domain with a central obstacle demonstrate that TSS dramatically increases the largest stable time step from the order of decades to up to $10^4$ years, while maintaining acceptable accuracy in many regimes; low-shear cases can achieve $\Delta t$ of 100 years with errors under 1% in $H$ and $|\mathbf{u}|$, whereas high-shear cases show order-of-magnitude improvements in error when using TSS. The method reduces computational cost and can be extended to other reduced-order or vertically-integrated frameworks, offering a practical pathway to efficient, large-scale ice-sheet simulations and potentially to other shallow-fluid problems coupled to geometry evolution.
Abstract
We present the Thickness Stabilization Scheme (TSS), a numerical stabilization scheme suitable for the Shallow Shelf Approximation (SSA), one of the most widely-used models for large-scale Antarctic and Greenland ice sheet simulations. The TSS is constructed by inserting an adapted, explicit Euler thickness evolution equation into the driving stress term, thereby treating the term implicitly. We investigate the applicability of TSS across low- and high-shear idealized scenarios, by altering the inflow velocity and initial ice thickness. TSS demonstrates an increase in the numerical stability of SSA, allowing large time-step sizes of dt = 50-100 years to remain numerically stable and accurate, while time-step sizes of dt > 5 in high-shear simulations show significant error without TSS. Remarkably, a time step size as large as dt = 10 000 years is numerically stable with TSS, albeit with a reduction in accuracy. TSS offers greater flexibility for ice-sheet modeling by allowing the re-allocation of computational resources. This method is applicable not only to ice-sheet modeling, including in coupled frameworks, but also to other vertically-integrated computational fluid dynamics problems that couple momentum and geometry evolution equations.
