Articles | Volume 17, issue 4
https://doi.org/10.5194/tc-17-1585-2023
© Author(s) 2023. 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-17-1585-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Compensating errors in inversions for subglacial bed roughness: same steady state, different dynamic response
Institute for Marine and Atmospheric research Utrecht, Utrecht University, Utrecht, the Netherlands
Roderik S. W. van de Wal
Institute for Marine and Atmospheric research Utrecht, Utrecht University, Utrecht, the Netherlands
Faculty of Geosciences, Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
Tim van den Akker
Institute for Marine and Atmospheric research Utrecht, Utrecht University, Utrecht, the Netherlands
William H. Lipscomb
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
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17 citations as recorded by crossref.
- Interactive coupling of a Greenland ice sheet model in NorESM2 H. Goelzer et al. https://doi.org/10.5194/gmd-18-7853-2025
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- Biases in ice sheet models from missing noise-induced drift A. Robel et al. https://doi.org/10.5194/tc-18-2613-2024
- Ice motion across incised fjord landscapes S. Barndon et al. https://doi.org/10.5194/tc-20-2757-2026
- A Markov chain Monte Carlo approach for geostatistically simulating mass-conserving subglacial topography N. Shao et al. https://doi.org/10.1017/jog.2026.10164
- The long-term sea-level commitment from Antarctica A. Klose et al. https://doi.org/10.5194/tc-18-4463-2024
- Strong impact of sub-shelf melt parameterisation on ice-sheet retreat in idealised and realistic Antarctic topography C. Berends et al. https://doi.org/10.1017/jog.2023.33
- Positive feedbacks drive the Greenland ice sheet evolution in millennial-length MAR–GISM simulations under a high-end warming scenario C. Paice et al. https://doi.org/10.5194/tc-20-309-2026
- Investigating the multi-millennial evolution and stability of the Greenland ice sheet using remapped surface mass balance forcing C. Rahlves et al. https://doi.org/10.5194/tc-19-6403-2025
- Extending the range and reach of physically-based Greenland ice sheet sea-level projections H. Goelzer et al. https://doi.org/10.5194/tc-19-6887-2025
- Improvements on the discretisation of boundary conditions to the momentum balance for glacial ice C. Berends et al. https://doi.org/10.1017/jog.2024.45
- Historically consistent mass loss projections of the Greenland ice sheet C. Rahlves et al. https://doi.org/10.5194/tc-19-1205-2025
- Antarctic Ice Sheet tipping in the last 800,000 years warns of future ice loss D. Chandler et al. https://doi.org/10.1038/s43247-025-02366-2
- The Greenland Ice Sheet Large Ensemble (GrISLENS): simulating the future of Greenland under climate variability V. Verjans et al. https://doi.org/10.5194/tc-19-3749-2025
- Competing processes determine the long-term impact of basal friction parameterizations for Antarctic mass loss T. van den Akker et al. https://doi.org/10.5194/tc-20-1217-2026
- The Utrecht Finite Volume Ice-Sheet Model (UFEMISM) version 2.0 – Part 1: Description and idealised experiments C. Berends et al. https://doi.org/10.5194/gmd-18-3635-2025
- Sensitivity of Totten Glacier dynamics to sliding parameterizations and ice shelf basal melt rates Y. Ma et al. https://doi.org/10.5194/tc-19-6187-2025
17 citations as recorded by crossref.
- Interactive coupling of a Greenland ice sheet model in NorESM2 H. Goelzer et al. https://doi.org/10.5194/gmd-18-7853-2025
- Exploring the conditions conducive to convection within the Greenland Ice Sheet R. Law et al. https://doi.org/10.5194/tc-20-1071-2026
- Biases in ice sheet models from missing noise-induced drift A. Robel et al. https://doi.org/10.5194/tc-18-2613-2024
- Ice motion across incised fjord landscapes S. Barndon et al. https://doi.org/10.5194/tc-20-2757-2026
- A Markov chain Monte Carlo approach for geostatistically simulating mass-conserving subglacial topography N. Shao et al. https://doi.org/10.1017/jog.2026.10164
- The long-term sea-level commitment from Antarctica A. Klose et al. https://doi.org/10.5194/tc-18-4463-2024
- Strong impact of sub-shelf melt parameterisation on ice-sheet retreat in idealised and realistic Antarctic topography C. Berends et al. https://doi.org/10.1017/jog.2023.33
- Positive feedbacks drive the Greenland ice sheet evolution in millennial-length MAR–GISM simulations under a high-end warming scenario C. Paice et al. https://doi.org/10.5194/tc-20-309-2026
- Investigating the multi-millennial evolution and stability of the Greenland ice sheet using remapped surface mass balance forcing C. Rahlves et al. https://doi.org/10.5194/tc-19-6403-2025
- Extending the range and reach of physically-based Greenland ice sheet sea-level projections H. Goelzer et al. https://doi.org/10.5194/tc-19-6887-2025
- Improvements on the discretisation of boundary conditions to the momentum balance for glacial ice C. Berends et al. https://doi.org/10.1017/jog.2024.45
- Historically consistent mass loss projections of the Greenland ice sheet C. Rahlves et al. https://doi.org/10.5194/tc-19-1205-2025
- Antarctic Ice Sheet tipping in the last 800,000 years warns of future ice loss D. Chandler et al. https://doi.org/10.1038/s43247-025-02366-2
- The Greenland Ice Sheet Large Ensemble (GrISLENS): simulating the future of Greenland under climate variability V. Verjans et al. https://doi.org/10.5194/tc-19-3749-2025
- Competing processes determine the long-term impact of basal friction parameterizations for Antarctic mass loss T. van den Akker et al. https://doi.org/10.5194/tc-20-1217-2026
- The Utrecht Finite Volume Ice-Sheet Model (UFEMISM) version 2.0 – Part 1: Description and idealised experiments C. Berends et al. https://doi.org/10.5194/gmd-18-3635-2025
- Sensitivity of Totten Glacier dynamics to sliding parameterizations and ice shelf basal melt rates Y. Ma et al. https://doi.org/10.5194/tc-19-6187-2025
Saved (final revised paper)
Latest update: 19 Aug 2026
Short summary
The rate at which the Antarctic ice sheet will melt because of anthropogenic climate change is uncertain. Part of this uncertainty stems from processes occurring beneath the ice, such as the way the ice slides over the underlying bedrock.
Inversion methodsattempt to use observations of the ice-sheet surface to calculate how these sliding processes work. We show that such methods cannot fully solve this problem, so a substantial uncertainty still remains in projections of sea-level rise.
The rate at which the Antarctic ice sheet will melt because of anthropogenic climate change is...