Articles | Volume 12, issue 8
https://doi.org/10.5194/tc-12-2637-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-12-2637-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Aug 2018
Research article |
| 15 Aug 2018
| 15 Aug 2018
Basal friction of Fleming Glacier, Antarctica – Part 1: Sensitivity of inversion to temperature and bedrock uncertainty
School of Technology, Environments and Design, University of
Tasmania, Hobart, Australia
Antarctic Climate & Ecosystems Cooperative
Research Centre, University of Tasmania, Hobart, Australia
Rupert M. Gladstone
Arctic Centre, University of Lapland,
Rovaniemi, Finland
Roland C. Warner
Antarctic Climate & Ecosystems Cooperative
Research Centre, University of Tasmania, Hobart, Australia
Matt A. King
School of Technology, Environments and Design, University of
Tasmania, Hobart, Australia
Thomas Zwinger
CSC –
IT Center for Science Ltd., Espoo, Finland
Mathieu Morlighem
Department of Earth
System Science, University of California, Irvine, CA 92697-3100, USA
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Cited
23 citations as recorded by crossref.
- Improved basal drag of the West Antarctic Ice Sheet from L-curve analysis of inverse models utilizing subglacial hydrology simulations L. Höyns et al. 10.5194/tc-19-2133-2025
- Inferred basal friction and mass flux affected by crystal-orientation fabrics N. Rathmann & D. Lilien 10.1017/jog.2021.88
- What can radar-based measures of subglacial hydrology tell us about basal shear stress? A case study at Thwaites Glacier, West Antarctica R. Haris et al. 10.1017/jog.2024.3
- Coefficient identification of the regularized p-Stokes equations N. Schmidt 10.1016/j.nonrwa.2024.104197
- Neutral equilibrium and forcing feedbacks in marine ice sheet modelling R. Gladstone et al. 10.5194/tc-12-3605-2018
- Validating ensemble historical simulations of Upernavik Isstrøm (1985–2019) using observations of surface velocity and elevation E. Jager et al. 10.1017/jog.2024.10
- Inferring the basal sliding coefficient field for the Stokes ice sheet model under rheological uncertainty O. Babaniyi et al. 10.5194/tc-15-1731-2021
- Evaluation of ice-stream model sensitivities for parameter estimation R. Alley et al. 10.1016/j.epsl.2019.03.035
- The transferability of adjoint inversion products between different ice flow models J. Barnes et al. 10.5194/tc-15-1975-2021
- Basal conditions of Denman Glacier from glacier hydrology and ice dynamics modeling K. McArthur et al. 10.5194/tc-17-4705-2023
- Quantifying the Impact of Bedrock Topography Uncertainty in Pine Island Glacier Projections for This Century A. Wernecke et al. 10.1029/2021GL096589
- Drumlins and mega-scale glacial lineations as a continuum of subglacial shear marks: A LiDAR based morphometric study of streamlined surfaces on the bed of a Canadian paleo-ice stream S. Sookhan et al. 10.1016/j.quascirev.2022.107679
- Exploring grid sensitivity in an ice sheet model: A case study of the Amery Ice Shelf Q. Wang et al. 10.1016/j.accre.2024.12.001
- Quantifying the effect of ocean bed properties on ice sheet geometry over 40 000 years with a full-Stokes model C. Schannwell et al. 10.5194/tc-14-3917-2020
- Using specularity content to evaluate eight geothermal heat flow maps of Totten Glacier Y. Huang et al. 10.5194/tc-18-103-2024
- Revisiting subglacial hydrology as an origin for Mars' valley networks J. Buffo et al. 10.1016/j.epsl.2022.117699
- ISMIP6 Antarctica: a multi-model ensemble of the Antarctic ice sheet evolution over the 21st century H. Seroussi et al. 10.5194/tc-14-3033-2020
- Basal friction of Fleming Glacier, Antarctica – Part 2: Evolution from 2008 to 2015 C. Zhao et al. 10.5194/tc-12-2653-2018
- Modeling the Deformation Regime of Thwaites Glacier, West Antarctica, Using a Simple Flow Relation for Ice Anisotropy (ESTAR) F. McCormack et al. 10.1029/2021JF006332
- Multifidelity uncertainty quantification for ice sheet simulations N. Aretz et al. 10.1007/s10596-024-10329-3
- Data‐Driven Inference of the Mechanics of Slip Along Glacier Beds Using Physics‐Informed Neural Networks: Case Study on Rutford Ice Stream, Antarctica B. Riel et al. 10.1029/2021MS002621
- Evaluation of six geothermal heat flux maps for the Antarctic Lambert–Amery glacial system H. Kang et al. 10.5194/tc-16-3619-2022
- Universal differential equations for glacier ice flow modelling J. Bolibar et al. 10.5194/gmd-16-6671-2023
23 citations as recorded by crossref.
- Improved basal drag of the West Antarctic Ice Sheet from L-curve analysis of inverse models utilizing subglacial hydrology simulations L. Höyns et al. 10.5194/tc-19-2133-2025
- Inferred basal friction and mass flux affected by crystal-orientation fabrics N. Rathmann & D. Lilien 10.1017/jog.2021.88
- What can radar-based measures of subglacial hydrology tell us about basal shear stress? A case study at Thwaites Glacier, West Antarctica R. Haris et al. 10.1017/jog.2024.3
- Coefficient identification of the regularized p-Stokes equations N. Schmidt 10.1016/j.nonrwa.2024.104197
- Neutral equilibrium and forcing feedbacks in marine ice sheet modelling R. Gladstone et al. 10.5194/tc-12-3605-2018
- Validating ensemble historical simulations of Upernavik Isstrøm (1985–2019) using observations of surface velocity and elevation E. Jager et al. 10.1017/jog.2024.10
- Inferring the basal sliding coefficient field for the Stokes ice sheet model under rheological uncertainty O. Babaniyi et al. 10.5194/tc-15-1731-2021
- Evaluation of ice-stream model sensitivities for parameter estimation R. Alley et al. 10.1016/j.epsl.2019.03.035
- The transferability of adjoint inversion products between different ice flow models J. Barnes et al. 10.5194/tc-15-1975-2021
- Basal conditions of Denman Glacier from glacier hydrology and ice dynamics modeling K. McArthur et al. 10.5194/tc-17-4705-2023
- Quantifying the Impact of Bedrock Topography Uncertainty in Pine Island Glacier Projections for This Century A. Wernecke et al. 10.1029/2021GL096589
- Drumlins and mega-scale glacial lineations as a continuum of subglacial shear marks: A LiDAR based morphometric study of streamlined surfaces on the bed of a Canadian paleo-ice stream S. Sookhan et al. 10.1016/j.quascirev.2022.107679
- Exploring grid sensitivity in an ice sheet model: A case study of the Amery Ice Shelf Q. Wang et al. 10.1016/j.accre.2024.12.001
- Quantifying the effect of ocean bed properties on ice sheet geometry over 40 000 years with a full-Stokes model C. Schannwell et al. 10.5194/tc-14-3917-2020
- Using specularity content to evaluate eight geothermal heat flow maps of Totten Glacier Y. Huang et al. 10.5194/tc-18-103-2024
- Revisiting subglacial hydrology as an origin for Mars' valley networks J. Buffo et al. 10.1016/j.epsl.2022.117699
- ISMIP6 Antarctica: a multi-model ensemble of the Antarctic ice sheet evolution over the 21st century H. Seroussi et al. 10.5194/tc-14-3033-2020
- Basal friction of Fleming Glacier, Antarctica – Part 2: Evolution from 2008 to 2015 C. Zhao et al. 10.5194/tc-12-2653-2018
- Modeling the Deformation Regime of Thwaites Glacier, West Antarctica, Using a Simple Flow Relation for Ice Anisotropy (ESTAR) F. McCormack et al. 10.1029/2021JF006332
- Multifidelity uncertainty quantification for ice sheet simulations N. Aretz et al. 10.1007/s10596-024-10329-3
- Data‐Driven Inference of the Mechanics of Slip Along Glacier Beds Using Physics‐Informed Neural Networks: Case Study on Rutford Ice Stream, Antarctica B. Riel et al. 10.1029/2021MS002621
- Evaluation of six geothermal heat flux maps for the Antarctic Lambert–Amery glacial system H. Kang et al. 10.5194/tc-16-3619-2022
- Universal differential equations for glacier ice flow modelling J. Bolibar et al. 10.5194/gmd-16-6671-2023
Discussed (final revised paper)
Latest update: 05 Jul 2025
Short summary
A combination of computer modelling and observational data were used to infer the resistance to ice flow at the bed of the Fleming Glacier on the Antarctic Peninsula. The model was also used to simulate the distribution of temperature within the ice, which governs the rate at which the ice can deform. This is especially important for glaciers like the Fleming Glacier, which has both regions of rapid deformation and regions of rapid sliding at the bed.
A combination of computer modelling and observational data were used to infer the resistance to...
