Articles | Volume 16, issue 10
https://doi.org/10.5194/tc-16-4291-2022
https://doi.org/10.5194/tc-16-4291-2022
Research article
 | 
13 Oct 2022
Research article |  | 13 Oct 2022

The predictive power of ice sheet models and the regional sensitivity of ice loss to basal sliding parameterisations: a case study of Pine Island and Thwaites glaciers, West Antarctica

Jowan M. Barnes and G. Hilmar Gudmundsson

Related authors

The transferability of adjoint inversion products between different ice flow models
Jowan M. Barnes, Thiago Dias dos Santos, Daniel Goldberg, G. Hilmar Gudmundsson, Mathieu Morlighem, and Jan De Rydt
The Cryosphere, 15, 1975–2000, https://doi.org/10.5194/tc-15-1975-2021,https://doi.org/10.5194/tc-15-1975-2021, 2021
Short summary

Related subject area

Discipline: Ice sheets | Subject: Numerical Modelling
Modeling the timing of Patagonian Ice Sheet retreat in the Chilean Lake District from 22–10 ka
Joshua Cuzzone, Matias Romero, and Shaun A. Marcott
The Cryosphere, 18, 1381–1398, https://doi.org/10.5194/tc-18-1381-2024,https://doi.org/10.5194/tc-18-1381-2024, 2024
Short summary
Using specularity content to evaluate eight geothermal heat flow maps of Totten Glacier
Yan Huang, Liyun Zhao, Michael Wolovick, Yiliang Ma, and John C. Moore
The Cryosphere, 18, 103–119, https://doi.org/10.5194/tc-18-103-2024,https://doi.org/10.5194/tc-18-103-2024, 2024
Short summary
Surging of a Hudson Strait-scale ice stream: subglacial hydrology matters but the process details mostly do not
Matthew Drew and Lev Tarasov
The Cryosphere, 17, 5391–5415, https://doi.org/10.5194/tc-17-5391-2023,https://doi.org/10.5194/tc-17-5391-2023, 2023
Short summary
Regularization and L-curves in ice sheet inverse models: a case study in the Filchner–Ronne catchment
Michael Wolovick, Angelika Humbert, Thomas Kleiner, and Martin Rückamp
The Cryosphere, 17, 5027–5060, https://doi.org/10.5194/tc-17-5027-2023,https://doi.org/10.5194/tc-17-5027-2023, 2023
Short summary
Quantifying the uncertainty in the Eurasian ice-sheet geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6)
Oliver G. Pollard, Natasha L. M. Barlow, Lauren J. Gregoire, Natalya Gomez, Víctor Cartelle, Jeremy C. Ely, and Lachlan C. Astfalck
The Cryosphere, 17, 4751–4777, https://doi.org/10.5194/tc-17-4751-2023,https://doi.org/10.5194/tc-17-4751-2023, 2023
Short summary

Cited articles

Barnes, J. M., Dias dos Santos, T., Goldberg, D., Gudmundsson, G. H., Morlighem, M., and De Rydt, J.: The transferability of adjoint inversion products between different ice flow models, The Cryosphere, 15, 1975–2000, https://doi.org/10.5194/tc-15-1975-2021, 2021. a, b
Brondex, J., Gagliardini, O., Gillet-Chaulet, F., and Durand, G.: Sensitivity of grounding line dynamics to the choice of the friction law, J. Glaciol., 63, 854–866, 2017. a
Brondex, J., Gillet-Chaulet, F., and Gagliardini, O.: Sensitivity of centennial mass loss projections of the Amundsen basin to the friction law, The Cryosphere, 13, 177–195, https://doi.org/10.5194/tc-13-177-2019, 2019. a, b, c
Budd, W., Keage, P., and Blundy, N.: Empirical studies of ice sliding, J. Glaciol., 23, 157–170, 1979. a
Budd, W., Jenssen, D., and Smith, I.: A three-dimensional time-dependent model of the West Antarctic ice sheet, Ann. Glaciol., 5, 29–36, 1984. a
Download
Short summary
Models must represent how glaciers slide along the bed, but there are many ways to do so. In this paper, several sliding laws are tested and found to affect different regions of the Antarctic Ice Sheet in different ways and at different speeds. However, the variability in ice volume loss due to sliding-law choices is low compared to other factors, so limited empirical knowledge of sliding does not prevent us from making predictions of how an ice sheet will evolve.