Repository: Freie Universit├Ąt Berlin, Math Department

Grounding-line migration in plan-view marine ice-sheet models: Results of the ice2sea MISMIP3d intercomparison

Pattyn, F. and Perichon, L. and Durand, G. and Favier, L. and Gagliardini, O. and Hindmarsh, R. and Zwinger, T. and Albrecht, T. and Cornford, S. and Docquier, D. and Fuerst, J. and Goldberg, G. and Gudmundsson, G. H. and Humbert, A. and Huetten, M. and Huybrechts, P. and Jouvet, G. and Kleiner, T. and Larour, E. and Martin, D. (2013) Grounding-line migration in plan-view marine ice-sheet models: Results of the ice2sea MISMIP3d intercomparison. Journal of Glaciology, 59 (215). pp. 410-422. ISSN 0022-1430


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Predictions of marine ice-sheet behaviour require models able to simulate grounding-line migration. We present results of an intercomparison experiment for plan-view marine ice-sheet models. Verification is effected by comparison with approximate analytical solutions for flux across the grounding line using simplified geometrical configurations (no lateral variations, no buttressing effects from lateral drag). Perturbation experiments specifying spatial variation in basal sliding parameters permitted the evolution of curved grounding lines, generating buttressing effects. The experiments showed regions of compression and extensional flow across the grounding line, thereby invalidating the boundary layer theory. Steady-state grounding-line positions were found to be dependent on the level of physical model approximation. Resolving grounding lines requires inclusion of membrane stresses, a sufficiently small grid size (<500 m), or subgrid interpolation of the grounding line. The latter still requires nominal grid sizes of <5 km. For larger grid spacings, appropriate parameterizations for ice flux may be imposed at the grounding line, but the short-time transient behaviour is then incorrect and different from models that do not incorporate grounding-line parameterizations. The numerical error associated with predicting grounding-line motion can be reduced significantly below the errors associated with parameter ignorance and uncertainties in future scenarios.

Item Type:Article
Subjects:Mathematical and Computer Sciences > Mathematics > Numerical Analysis
Divisions:Department of Mathematics and Computer Science > Institute of Mathematics
ID Code:1864
Deposited By: Ekaterina Engel
Deposited On:13 Apr 2016 08:42
Last Modified:03 Mar 2017 14:42

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