Abstract

Abstract. In ice sheet modelling, the shallow-ice approximation (SIA) and second-order shallow-ice approximation (SOSIA) schemes are approaches to approximate the solution of the full Stokes equations governing ice sheet dynamics. This is done by writing the solution to the full Stokes equations as an asymptotic expansion in the aspect ratio ε, i.e. the quotient between a characteristic height and a characteristic length of the ice sheet. SIA retains the zeroth-order terms and SOSIA the zeroth-, first-, and second-order terms in the expansion. Here, we evaluate the order of accuracy of SIA and SOSIA by numerically solving a two-dimensional model problem for different values of ε, and comparing the solutions with afinite element solution to the full Stokes equations obtained from Elmer/Ice. The SIA and SOSIA solutions are also derived analytically for the model problem. For decreasing ε, the computed errors in SIA and SOSIA decrease, but not always in the expected way. Moreover, they depend critically on a parameter introduced to avoid singularities in Glen's flow law in the ice model. This is because the assumptions behind the SIA and SOSIA neglect a thick, high-viscosity boundary layer near the ice surface. The sensitivity to the parameter is explained by the analytical solutions. As a verification of the comparison technique, the SIA and SOSIA solutions for a fluid with Newtonian rheology are compared to the solutions by Elmer/Ice, with results agreeing very well with theory.

Highlights

  • The cryosphere is an important part of the climate system, and includes, among other features, the Greenland Ice Sheet and the Antarctic Ice Sheet

  • In this paper we investigate the order of accuracy and validity of a higher-order extension to the SIA; the secondorder shallow-ice approximation (SOSIA)

  • The second-order shallow-ice approximation (SOSIA) solution is computed for Cσ equal to 0.35

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Summary

Introduction

The cryosphere is an important part of the climate system, and includes, among other features, the Greenland Ice Sheet and the Antarctic Ice Sheet. As increasingly accurate numerical ice sheet models and correspondingly powerful hardware become more readily available, overall less research is focused on e.g. analyses devoted to basic foundations of ice sheet modelling, such as the validity and limitations of approximation schemes and associated scaling procedures.

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