2016
DOI: 10.1002/2016gl069937
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Assimilation of surface velocities acquired between 1996 and 2010 to constrain the form of the basal friction law under Pine Island Glacier

Abstract: In ice‐sheet models, slip conditions at the base between the ice and the bed are parameterized by a friction law. The most common relation has two poorly constrained parameters, C and m. The basal slipperiness coefficient, C, depends on local unobserved quantities and is routinely inferred using inverse methods. While model results have shown that transient responses to external forcing are highly sensitive to the stress exponent m, no consensus value has emerged, with values commonly used ranging from 1 to ∞… Show more

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Cited by 80 publications
(114 citation statements)
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“…The largest model‐data disagreement occurs for the linear‐viscous case ( m = 1), which is a result of this model's basal friction having the greatest sensitivity to speed so that most of the additional resistance occurs near the grounding line, limiting inland propagation of the speedup. For larger m values (Figures b and c), the reduced sensitivity to speed allows the speedup to migrate farther inland, producing the best agreement on the trunk for a power law with m = 8 (approaching Coulomb friction), which is consistent with other findings (Gillet‐Chaulet et al, ). Although the larger exponents provide better agreement on the fast‐flowing trunk (speeds >300 m/year), they produce poorer results for the slower‐moving regions.…”
Section: Results From Model Experimentsmentioning
confidence: 96%
“…The largest model‐data disagreement occurs for the linear‐viscous case ( m = 1), which is a result of this model's basal friction having the greatest sensitivity to speed so that most of the additional resistance occurs near the grounding line, limiting inland propagation of the speedup. For larger m values (Figures b and c), the reduced sensitivity to speed allows the speedup to migrate farther inland, producing the best agreement on the trunk for a power law with m = 8 (approaching Coulomb friction), which is consistent with other findings (Gillet‐Chaulet et al, ). Although the larger exponents provide better agreement on the fast‐flowing trunk (speeds >300 m/year), they produce poorer results for the slower‐moving regions.…”
Section: Results From Model Experimentsmentioning
confidence: 96%
“…Higher order (HO) models include additional stresses to allow stress transmission across floating and grounded ice, while Full-Stokes (FS) models resolve all stresses. Adapted from Pattyn et al (2006) of the nature of the underlying bed (Christianson et al, 2013) and the evolution in properties of basal conditions (Gillet-Chaulet et al, 2016). Such processes and understanding are starting to be implemented in regional ISMs and should be more systematically included in future simulations.…”
Section: An Improved Generation Of Modelsmentioning
confidence: 99%
“…New developments in data assimilation methods led to improved initializations in which the initial ice-sheet geometry and velocity field are kept as close as possible to observations by optimizing other unknown fields, such as basal friction coefficient (Advances in Process Understanding and Modeling) and ice stiffness (accounting for crevasse weakening and ice anisotropy; [4,5,28,78,83,84]). Motivated by the increasing ice-sheet imbalance of the ASE glaciers over the last 20 years [118], and supported by the recent boom in satellite data availability, data-assimilation methods are progressively used to evaluate unknown fields using time-evolving states accounting for the transient nature of observations and the model dynamics [51,56,58,59].…”
Section: Model Initializationmentioning
confidence: 99%