Articles | Volume 14, issue 5
https://doi.org/10.5194/tc-14-1459-2020
© Author(s) 2020. 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-14-1459-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Spatial probabilistic calibration of a high-resolution Amundsen Sea Embayment ice sheet model with satellite altimeter data
Andreas Wernecke
CORRESPONDING AUTHOR
School of Environment, Earth and Ecosystem Sciences, The Open University, Milton Keynes, UK
Tamsin L. Edwards
Department of Geography, King's College London, London, UK
Isabel J. Nias
Earth System Sciences Interdisciplinary Center, University of Maryland, College Park, MD, USA
Cryospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Philip B. Holden
School of Environment, Earth and Ecosystem Sciences, The Open University, Milton Keynes, UK
Neil R. Edwards
School of Environment, Earth and Ecosystem Sciences, The Open University, Milton Keynes, UK
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Cited
15 citations as recorded by crossref.
- Wideband Radiometry From P to S Band for Monitoring Polar Regions G. Macelloni et al. https://doi.org/10.1109/JPROC.2026.3653571
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- 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
- Probabilistic projections of the Amery Ice Shelf catchment, Antarctica, under conditions of high ice-shelf basal melt S. Jantre et al. https://doi.org/10.5194/tc-18-5207-2024
- A framework for estimating the anthropogenic part of Antarctica’s sea level contribution in a synthetic setting A. Bradley et al. https://doi.org/10.1038/s43247-024-01287-w
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- Amundsen Sea Embayment ice-sheet mass-loss predictions to 2050 calibrated using observations of velocity and elevation change S. Bevan et al. https://doi.org/10.1017/jog.2023.57
- Illustrative Multi‐Centennial Projections of Global Mean Sea‐Level Rise and Their Application F. Turner et al. https://doi.org/10.1029/2023EF003550
- Disentangling the drivers of future Antarctic ice loss with a historically calibrated ice-sheet model V. Coulon et al. https://doi.org/10.5194/tc-18-653-2024
- Calibrated sea level contribution from the Amundsen Sea sector, West Antarctica, under RCP8.5 and Paris 2C scenarios S. Rosier et al. https://doi.org/10.5194/tc-19-2527-2025
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15 citations as recorded by crossref.
- Wideband Radiometry From P to S Band for Monitoring Polar Regions G. Macelloni et al. https://doi.org/10.1109/JPROC.2026.3653571
- Computationally efficient subglacial drainage modelling using Gaussian process emulators: GlaDS-GP v1.0 T. Hill et al. https://doi.org/10.5194/gmd-18-4045-2025
- 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
- Probabilistic projections of the Amery Ice Shelf catchment, Antarctica, under conditions of high ice-shelf basal melt S. Jantre et al. https://doi.org/10.5194/tc-18-5207-2024
- A framework for estimating the anthropogenic part of Antarctica’s sea level contribution in a synthetic setting A. Bradley et al. https://doi.org/10.1038/s43247-024-01287-w
- The future of Upernavik Isstrøm through the ISMIP6 framework: sensitivity analysis and Bayesian calibration of ensemble prediction E. Jager et al. https://doi.org/10.5194/tc-18-5519-2024
- Modeling the Greenland Ice Sheet's Committed Contribution to Sea Level During the 21st Century I. Nias et al. https://doi.org/10.1029/2022JF006914
- Detection and attribution of the role of anthropogenic climate change in industrial-era retreat of Pine Island Glacier A. Bradley et al. https://doi.org/10.5194/tc-20-3443-2026
- Amundsen Sea Embayment ice-sheet mass-loss predictions to 2050 calibrated using observations of velocity and elevation change S. Bevan et al. https://doi.org/10.1017/jog.2023.57
- Illustrative Multi‐Centennial Projections of Global Mean Sea‐Level Rise and Their Application F. Turner et al. https://doi.org/10.1029/2023EF003550
- Disentangling the drivers of future Antarctic ice loss with a historically calibrated ice-sheet model V. Coulon et al. https://doi.org/10.5194/tc-18-653-2024
- Calibrated sea level contribution from the Amundsen Sea sector, West Antarctica, under RCP8.5 and Paris 2C scenarios S. Rosier et al. https://doi.org/10.5194/tc-19-2527-2025
- Quantifying the potential future contribution to global mean sea level from the Filchner–Ronne basin, Antarctica E. Hill et al. https://doi.org/10.5194/tc-15-4675-2021
- The influence of emissions scenarios on future Antarctic ice loss is unlikely to emerge this century D. Lowry et al. https://doi.org/10.1038/s43247-021-00289-2
- Evolution of the Antarctic Ice Sheet from 2000–2300 and beyond: model sensitivity and uncertainty analysis using MPAS-Albany Land Ice T. Hillebrand et al. https://doi.org/10.5194/tc-20-4061-2026
Saved (final revised paper)
Latest update: 19 Aug 2026
Short summary
We investigate how the two-dimensional characteristics of ice thickness change from satellite measurements can be used to judge and refine a high-resolution ice sheet model of Antarctica. The uncertainty in 50-year model simulations for the currently most drastically changing part of Antarctica can be reduced by nearly 40 % compared to a simpler, non-spatial approach and nearly 90 % compared to the original spread in simulations.
We investigate how the two-dimensional characteristics of ice thickness change from satellite...