Articles | Volume 20, issue 1
https://doi.org/10.5194/tc-20-495-2026
https://doi.org/10.5194/tc-20-495-2026
Research article
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21 Jan 2026
Research article | Highlight paper |  | 21 Jan 2026

Inferring the ice sheet sliding law from seismic observations: A Pine Island Glacier case study

Kevin Hank, Robert J. Arthern, C. Rosie Williams, Alex M. Brisbourne, Andrew M. Smith, James A. Smith, Anna Wåhlin, and Sridhar Anandakrishnan

Data sets

Acoustic impedance misfits and basal sliding law probabilities for Pine Island Glacier K. Hank et al. https://doi.org/10.5285/c560ce43-7aa0-4474-90ed-d4ee5f5768ea

Model code and software

Code used in "Inferring the ice sheet sliding law from seismic observations: A Pine Island Glacier case study" K. Hank https://doi.org/10.5281/zenodo.17549775

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Co-editor-in-chief
This study uses a novel approach to extract information on the subglacial system, one of the least observed regions on our planet. The central idea is to combine satellite-derived information on ice-flow velocities with numerical models of subglacial conditions, and then test the results against seismic observations. In this way, the study introduces a direct, testable link between model predictions of effective pressure and independent constraints derived from seismic acoustic impedance data. This conceptually significant step forward advances our ability to constrain basal conditions of ice streams.
Short summary
The slipperiness at the ice base is a key uncertainty in sea level rise projections. Alternative formulations of the sliding law exist, but limited access to the ice base makes it difficult to validate them. We introduce a new approach using observations and model output to infer a basal sliding law. For Pine Island Glacier, currently the largest single contributor to sea level rise in Antarctica, the results provide support for a Coulomb-type sliding law and widespread low effective pressures.
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