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A rapidly retreating, marine-terminating glacier's modeled response to perturbations in basal traction

Published online by Cambridge University Press:  08 March 2022

Jacob Downs*
Affiliation:
Department of Computer Science, University of Montana, Missoula, MT, USA
Jesse V. Johnson
Affiliation:
Department of Computer Science, University of Montana, Missoula, MT, USA
*
Author for correspondence: Jacob Downs, E-mail: jacob.downs@umontana.edu
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Abstract

Upernavik Isstrøm, a marine glacier undergoing rapid retreat, is simulated by forcing a numerical model with ocean-driven melt. A review of processes driving retreat led us to hypothesize that a glacier undergoing rapid retreat may be less sensitive to perturbations in the balance of forces than a glacier that is undergoing moderate changes or a glacier in steady state. Numerical experiments suggest this is not the case, and that a system in rapid retreat is as sensitive to basal traction perturbations as a system that is near to steady state. This result is important when considering other glacier systems experiencing marine-forced retreat. While the ice–ocean interface is of primary importance, additional perturbations from meltwater-forced decoupling of the glacier from its bed continue to feature in glacier dynamics.

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Type
Article
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. (a) Location of the Upernavik Isstrøm glacier complex in western Greenland. (b) Bed elevation data on computational domain. Red and orange lines indicate steady-state terminus and grounding lines, respectively. (c) Steady-state ice velocity used in all numerical experiments. The red line indicates a flowline along the central trunk of Upernavik Isstrøm used for the analysis in Figures 5 and 6. Velocity is constrained on the lateral and right edges to the average velocity between 1985 and 2018 from the ITS_LIVE project (Gardner and others, 2018) and flux is constrained on the right edge using thickness from Bedmachine v3 (Morlighem and others, 2017).

Figure 1

Fig. 2. (a) Gigatons of ice mass loss from Upernavik Isstrøm after 50 years for an ensemble of model runs with subaqueous melt values ranging from 0.4 to 2.4 m d−1 and basal traction reductions ranging from 0 to 40%. Each column in (b) shows the additional mass lost due to reduced basal traction compared to a baseline run with the same subaqueous melt rate and no basal traction perturbation. Panel (c) shows the percentage increase in mass loss caused by basal traction reductions versus a model run with the same subaqueous melt but no basal traction perturbation. (d) Alternative view of panel (a) showing gigatons of mass loss for various parameter combinations. Panels (e), (f), (g), (h) show equivalent metrics to panels (a), (b), (c), (d), respectively, for the experiment using a nonlinear sliding law.

Figure 2

Fig. 3. Thinning of Upernavik Isstrøm for simulations with subaqueous melt rates ranging from 0.8 to 2 m d−1 combined with basal traction reductions from 0 to 40%. The black line shows the initial terminus position, while dark and light blue lines show the final terminus position and grounding line at the end of each simulation, respectively.

Figure 3

Fig. 4. (a) Average sensitivity of total mass loss to basal traction reductions (black line) and subaqueous melt (red line) for different subaqueous melt rates. Sensitivities are computed by averaging the gradient of mass loss with respect to the percent reduction in the basal traction reduction or to the subaqueous melt rate, averaged over all basal traction perturbations. Note the different scales for traction/subaqueous melt sensitivities. (b) Sensitivities for a similar experiment using a nonlinear sliding law.

Figure 4

Fig. 5. Percent increase in velocity along the central trunk of Upernavik Isstrøm (Fig. 1b) over 50 years for runs with different parameter values. Columns show simulations with subaqueous melt rates of 0.8, 1.4 and 2 m d−1 (from left to right respectively). Rows show basal traction coefficient reductions of 0, 20 and 40% (top to bottom respectively). Solid and dashed blue lines show the terminus and grounding line positions, respectively.

Figure 5

Fig. 6. Peak increase in surface velocity for different subaqueous melt rates and traction reductions. Panels (a), (b) and (c) show the peak increase in average velocity for regions 0–15, 15–30 and 30–45 km inland of the grounding line, respectively, on the central trunk of Upernavik Isstrøm.