Transient glacier response with a higher-order numerical ice-flow model

In this paper, a higher-order numerical flowline model is presented which is numerically stable and fast and can cope with very small horizontal grid sizes (<10 m). The model is compared with the results from Blatter and others (1998) on Haut Glacier d'Arolla, Switzerland, and with the European Ice-Sheet Modelling Initiative benchmarks (Huybrechts and others, 1996). Results demonstrate that the significant difference between calculated basal-drag and driving-stress profiles in a fixed geometry disappears when the glacier profile is allowed to react to the surface mass-balance conditions and reaches a steady state. Dynamic experiments show that the mass transfer in higher-order models occurs at a different speed in the accumulation and ablation areas and that the front position is more sensitive to migration compared to the shallow-ice approximation.

[1]  D. R. Baral,et al.  Asymptotic Theories of Large-Scale Motion, Temperature, and Moisture Distribution in Land-Based Polythermal Ice Sheets: A Critical Review and New Developments , 2001 .

[2]  P. Huybrechts,et al.  Ice-dynamic conditions across the grounding zone, Ekströmisen, East Antarctica , 1999, Journal of Glaciology.

[3]  J. Rappaz,et al.  A strongly nonlinear problem arising in glaciology , 1999 .

[4]  J. Colinge,et al.  Stress and velocity fields in glaciers: Part I. Finite-difference schemes for higher-order glacier models , 1998, Journal of Glaciology.

[5]  Jacques Colinge,et al.  Stress and velocity fields in glaciers: Part II. Sliding and basal stress distribution , 1998 .

[6]  Stuart N. Lane,et al.  Landform monitoring, modelling, and analysis , 1998 .

[7]  A. Payne,et al.  Self-organization in the thermomechanical flow of ice , 1997 .

[8]  C. Mayer Numerische Modellierung der Übergangszone zwischen Eisschild und Schelfeis = Numerical modelling of the transition zone between an ice sheet and an ice shelf , 1996 .

[9]  Frank Pattyn,et al.  Numerical modelling of a fast flowing outlet glacier: experiments with different basal conditions , 1996 .

[10]  A. Payne,et al.  Time-step limits for stable solutions of the ice-sheet equation , 1996 .

[11]  C. Hvidberg Steady-state thermomechanical modelling of ice flow near the centre of large ice sheets with the finite-element technique , 1996, Annals of Glaciology.

[12]  P. Huybrechts,et al.  The EISMINT benchmarks for testing ice-sheet models , 1996, Annals of Glaciology.

[13]  H. Blatter Velocity and stress fields in grounded glaciers: a simple algorithm for including deviatoric stress gradients , 1995 .

[14]  J. Oerlemans,et al.  Response of valley glaciers to climate change and kinematic waves: a study with a numerical ice-flow model , 1995, Journal of Glaciology.

[15]  William H. Press,et al.  The Art of Scientific Computing Second Edition , 1998 .

[16]  C. Veen,et al.  Force Budget: I. Theory and Numerical Methods , 1989, Journal of Glaciology.

[17]  D. Dahl-Jensen Steady thermomechanical flow along two-dimensional flow lines in large grounded ice sheets , 1989 .

[18]  A numerical scheme for calculating stresses and strain rates in glaciers , 1989 .

[19]  Tómas Jóhannesson,et al.  Time–Scale for Adjustment of Glaciers to Changes in Mass Balance , 1989, Journal of Glaciology.

[20]  N. Reeh A Flow-line Model for Calculating the Surface Profile and the Velocity, Strain-rate, and Stress Fields in an Ice Sheet , 1988 .

[21]  J. Oerlemans,et al.  EVOLUTION OF THE EAST ANTARCTIC ICE SHEET: A NUMERICAL STUDY OF THERMO- MECHANICAL RESPONSE PATTERNS WITH CHANGING CLIMATE , 1988 .

[22]  C. Veen,et al.  Dynamics of the West Antarctic Ice Sheet , 1987 .

[23]  Roger LeB. Hooke,et al.  Flow law for polycrystalline ice in glaciers: Comparison of theoretical predictions, laboratory data, and field measurements , 1981 .

[24]  R. Armstrong,et al.  The Physics of Glaciers , 1981 .

[25]  John F Nye,et al.  The response of glaciers and ice-sheets to seasonal and climatic changes , 1960, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.