Articles | Volume 14, issue 2
https://doi.org/10.5194/tc-14-673-2020
https://doi.org/10.5194/tc-14-673-2020
Research article
 | 
17 Feb 2020
Research article |  | 17 Feb 2020

Parameter sensitivity analysis of dynamic ice sheet models – numerical computations

Gong Cheng and Per Lötstedt

Related authors

Calibrating calving parameterizations using graph neural network emulators: application to Helheim Glacier, East Greenland
Younghyun Koo, Gong Cheng, Mathieu Morlighem, and Maryam Rahnemoonfar
The Cryosphere, 19, 2583–2599, https://doi.org/10.5194/tc-19-2583-2025,https://doi.org/10.5194/tc-19-2583-2025, 2025
Short summary
Smoothed monthly Greenland ice sheet elevation changes during 2003–2023
Shfaqat A. Khan, Helene Seroussi, Mathieu Morlighem, William Colgan, Veit Helm, Gong Cheng, Danjal Berg, Valentina R. Barletta, Nicolaj K. Larsen, William Kochtitzky, Michiel van den Broeke, Kurt H. Kjær, Andy Aschwanden, Brice Noël, Jason E. Box, Joseph A. MacGregor, Robert S. Fausto, Kenneth D. Mankoff, Ian M. Howat, Kuba Oniszk, Dominik Fahrner, Anja Løkkegaard, Eigil Y. H. Lippert, Alicia Bråtner, and Javed Hassan
Earth Syst. Sci. Data, 17, 3047–3071, https://doi.org/10.5194/essd-17-3047-2025,https://doi.org/10.5194/essd-17-3047-2025, 2025
Short summary
A Python library for solving ice sheet modeling problems using Physics Informed Neural Networks, PINNICLE v1.0
Gong Cheng, Mansa Krishna, and Mathieu Morlighem
EGUsphere, https://doi.org/10.5194/egusphere-2025-1188,https://doi.org/10.5194/egusphere-2025-1188, 2025
Short summary
Numerical stabilization methods for level-set-based ice front migration
Gong Cheng, Mathieu Morlighem, and G. Hilmar Gudmundsson
Geosci. Model Dev., 17, 6227–6247, https://doi.org/10.5194/gmd-17-6227-2024,https://doi.org/10.5194/gmd-17-6227-2024, 2024
Short summary
Evaluation of four calving laws for Antarctic ice shelves
Joel A. Wilner, Mathieu Morlighem, and Gong Cheng
The Cryosphere, 17, 4889–4901, https://doi.org/10.5194/tc-17-4889-2023,https://doi.org/10.5194/tc-17-4889-2023, 2023
Short summary

Related subject area

Discipline: Ice sheets | Subject: Numerical Modelling
Calibrated sea level contribution from the Amundsen Sea sector, West Antarctica, under RCP8.5 and Paris 2C scenarios
Sebastian H. R. Rosier, G. Hilmar Gudmundsson, Adrian Jenkins, and Kaitlin A. Naughten
The Cryosphere, 19, 2527–2557, https://doi.org/10.5194/tc-19-2527-2025,https://doi.org/10.5194/tc-19-2527-2025, 2025
Short summary
Calving driven by horizontal forces in a revised crevasse-depth framework
Donald A. Slater and Till J. W. Wagner
The Cryosphere, 19, 2475–2493, https://doi.org/10.5194/tc-19-2475-2025,https://doi.org/10.5194/tc-19-2475-2025, 2025
Short summary
Improved basal drag of the West Antarctic Ice Sheet from L-curve analysis of inverse models utilizing subglacial hydrology simulations
Lea-Sophie Höyns, Thomas Kleiner, Andreas Rademacher, Martin Rückamp, Michael Wolovick, and Angelika Humbert
The Cryosphere, 19, 2133–2158, https://doi.org/10.5194/tc-19-2133-2025,https://doi.org/10.5194/tc-19-2133-2025, 2025
Short summary
Disentangling the oceanic drivers behind the post-2000 retreat of Sermeq Kujalleq, Greenland (Jakobshavn Isbræ)
Ziad Rashed, Alexander A. Robel, and Hélène Seroussi
The Cryosphere, 19, 1775–1788, https://doi.org/10.5194/tc-19-1775-2025,https://doi.org/10.5194/tc-19-1775-2025, 2025
Short summary
Glacier damage evolution over ice flow timescales
Meghana Ranganathan, Alexander A. Robel, Alexander Huth, and Ravindra Duddu
The Cryosphere, 19, 1599–1619, https://doi.org/10.5194/tc-19-1599-2025,https://doi.org/10.5194/tc-19-1599-2025, 2025
Short summary

Cited articles

Baiocchi, C., Brezzi, F., and Franca, L. P.: Virtual bubbles and Galerkin-least-squares type methods (Ga. LS), Comp. Meth. Appl. Mech. Eng., 105, 125–141, 1993. a
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
Bulthuis, K., Arnst, M., Sun, S., and Pattyn, F.: Uncertainty quantification of the multi-centennial response of the Antarctic ice sheet to climate change, The Cryosphere, 13, 1349–1380, https://doi.org/10.5194/tc-13-1349-2019, 2019. a
Cheng, G.: Numerical experiments for FS adjoint, Zenodo, https://doi.org/10.5281/zenodo.3611158, 2020a. a
Cheng, G.: Numerical experiments for SSA adjoint, Zenodo, https://doi.org/10.5281/zenodo.3611154, 2020b. a
Download
Short summary
We present a time-dependent inverse method for ice sheet modeling. By investigating the sensitivity of the observations of the velocity and the height at the surface to the basal conditions of the ice, we show that if the basal parameters are time dependent, then time cannot be ignored in the inversion. By looking at the numerical features, we conclude that adding the height information of an ice sheet in the velocity inversion procedure could improve the robustness of the inference.
Share