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Flow-law hypotheses for ice-sheet modeling

Published online by Cambridge University Press:  20 January 2017

Richard B. Alley*
Affiliation:
Earth System Science Center and Department of Geosciences, The Pennsylvania State University, University Park, Pennsylvania 16802, U.S.A.
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Abstract

Ice-flow modeling requires a flow law relating strain rates to stresses in situ, but a flow law cannot be measured directly in ice sheets. Microscopic processes such as dislocation glide and boundary diffusion control both the flow law for ice and the development of physical properties such as grain-size and c-axis fabric. These microscopic processes can be inferred from observations of the physical properties, and the flow law can then be estimated from the microscopic processes.

A review of available literature shows that this approach can be imperfectly successful. Interior regions of large ice sheets probably have depth-varying flow-law “constants”, with the stress exponent, n, for power-law creep less than 3 in upper regions and equal to 3 only in deep ice; n probably equals 3 through most of the thickness of ice shelves and ice streams.

Information

Type
Research Article
Copyright
Copyright © International Glaciological Society 1992
Figure 0

Fig. 1.Cartoon showing grain rotation from deformation of a polycrystal. In (a), uniaxial tension σx causes resolved shear stresses on the basal planes, ba, of two grains, which cause mutual interference for basal glide. Deformation is achieved by basal glide plus rotation of c-axes, c, away from the tensional axis, leading to the situation in (b).

Figure 1

Fig. 2.Schematic evolution of c-axis fabrics as a function of stress state and active processes. An initial random distribution (top) yields solid-cone distributions (left) if rotation alone is active, and girdle/surface-cone distributions (right) if recrystallization also is active.

Figure 2

Fig. 3.Schematic curve of strain rate versus cumulative strain for constant-stress deformation of polycrystalline ice, following Budd and Jacka (1989). Flow-law exponents, fabric controls, grain-growth behavior and microscopic processes are indicated.

Figure 3

Fig. 4.4 Simplified model for grain growth, fabric development and flow-law exponent in a cold ice sheet.