Articles | Volume 14, issue 2
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

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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,, 2019. a
Cheng, G.: Numerical experiments for FS adjoint, Zenodo,, 2020a. a
Cheng, G.: Numerical experiments for SSA adjoint, Zenodo,, 2020b. a
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.