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Simulating ice-shelf extent using damage mechanics

Published online by Cambridge University Press:  07 March 2022

Samuel B. Kachuck*
Affiliation:
Climate and Space Sciences and Engineering Department, University of Michigan, Ann Arbor, Michigan, USA
Morgan Whitcomb
Affiliation:
Applied Physics Department, University of Michigan, Ann Arbor, Michigan, USA
Jeremy N. Bassis
Affiliation:
Climate and Space Sciences and Engineering Department, University of Michigan, Ann Arbor, Michigan, USA
Daniel F. Martin
Affiliation:
Applied Numerical Algorithms Group, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Stephen F. Price
Affiliation:
Fluid Dynamics and Solid Mechanics Group, Los Alamos National Laboratory, Los Alamos, New Mexico, USA
*
Author for correspondence: Samuel B. Kachuck, skachuck@umich.edu
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Abstract

Inaccurate representations of iceberg calving from ice shelves are a large source of uncertainty in mass-loss projections from the Antarctic ice sheet. Here, we address this limitation by implementing and testing a continuum damage-mechanics model in a continental scale ice-sheet model. The damage-mechanics formulation, based on a linear stability analysis and subsequent long-wavelength approximation of crevasses that evolve in a viscous medium, links damage evolution to climate forcing and the large-scale stresses within an ice shelf. We incorporate this model into the BISICLES ice-sheet model and test it by applying it to idealized (1) ice tongues, for which we present analytical solutions and (2) buttressed ice-shelf geometries. Our simulations show that the model reproduces the large disparity in lengths of ice shelves with geometries and melt rates broadly similar to those of four Antarctic ice shelves: Erebus Glacier Tongue (length ~ 13 km), the unembayed portion of Drygalski Ice Tongue (~ 65 km), the Amery Ice Shelf (~ 350 km) and the Ross Ice Shelf (~ 500 km). These results demonstrate that our simple continuum model holds promise for constraining realistic ice-shelf extents in large-scale ice-sheet models in a computationally tractable manner.

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Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press
Figure 0

Fig. 1. Schematic diagram of the model system showing a longitudinal cross section of an ice shelf. The ice flux at the grounding line is held constant in time and directed along the x-direction. Damage r is defined as the local ratio between the crevasse depth δh and total ice thickness h.

Figure 1

Table 1. Simulation parameters: grounding line thickness h0 and velocity u0, embayment length ℓem and width wem (for the ice shelves), rate constant A (found in Eqn (16)) and uniform basal melt rate $\dot {m}$

Figure 2

Fig. 2. (a) Damage profile along the Erebus Glacier Tongue, computed by BISICLES and from the analytic solution in Eqn (24). The Nye zero-stress damage is shown for reference. (b) Thickness profile of the Erebus Glacier Tongue, comparing the results from our model (solid blue line) to data reported by Holdsworth (1974) (dashed red line, solid circles). The ice is shaded purple up to the depth to which basal crevasses penetrate. Axis marks are provided for the analytically derived xcr (Eqn (20), where damage begins to increase), Lr (Eqn (25), where damage equals 1) and Lmax (Eqn (18), the maximum mass-balance length of the ice sheet). Error bars are shown for uncertainties in the observed terminus position (dashed) and uncertainties in Lmax and Lr propagated from the uncertainties in the parameter fit.

Figure 3

Fig. 3. Same as Figure 2 for the unembayed portion of the Drygalski Ice Tongue, with data from Blankenship and others (2012). Estimated uncertainties in Lr and Lmax are 0.32 and 0.27 km, respectively, and too small to visualize on this scale.

Figure 4

Fig. 4. (a) Simulation results overlain on the observed grounding line and ice front marked in white (solid and dashed, respectively) from Bedmap2 (Fretwell and others, 2013), for the Amery-like ice-shelf geometry. The purple shades show the damage within the simulated ice extent, with the hatching indicating fully damaged ice (r = 1), and the green contours show the ice thickness. The grounding line thickness, the centerline velocity at the grounding line, the temperature and the melt rate are as prescribed in Table 1. Analytic predictions from the flux-equivalent 1-D ice tongue (see Supplementary material Section 1) for xcr, Lr and Lmax (Eqns (20), (25) and (18)) are shown along the top axis. (b) Evolved damage and the Nye damage from BISICLES along the center line, compared to the prediction from the 1-D flux-equivalent model. (c) Size and location of the idealized domain for Bedmap2 contours in panel (a). (d) Thickness profile along the center line, as in Fig. 2b, with thickness data (red, dotted) from Bedmap2.

Figure 5

Fig. 5. Same as Fig. 4, for the Ross-like ice shelf with the inset map in panel (c) rotated counterclockwise so the flux in the domain flows left-to-right.

Figure 6

Fig. 6. (a) Ice thickness at h(Lr) and (b) distance from the grounding line to the fully damaged terminus as it depends on melt rate and average ice temperature. Lines in (a) show the analytic prediction for a 1-D ice tongue with temperatures corresponding to the best fits for Erebus Glacier Tongue (−5.9°C) and Drygalski Ice Tongue (−8.8°C), as well as for the prescribed ice-shelf temperature used in the Amery-like and Ross-like simulations (−9.4°C). Lines in (b) show the analytic prediction for each flux-equivalent tongue for each geometry. For the idealized Amery and Ross Ice Shelf geometries, which are 2-D by nature of the no-slip embayment walls, the thickness shown here is along the center line. Solid dots represent the experiments from Table 1, whereas open dots represent additional experiments discussed in text.

Supplementary material: PDF

Kachuck et al. supplementary material

Kachuck et al. supplementary material

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