Articles | Volume 12, issue 10
The Cryosphere, 12, 3085–3096, 2018
https://doi.org/10.5194/tc-12-3085-2018
The Cryosphere, 12, 3085–3096, 2018
https://doi.org/10.5194/tc-12-3085-2018
Research article
01 Oct 2018
Research article | 01 Oct 2018

Representation of basal melting at the grounding line in ice flow models

Hélène Seroussi and Mathieu Morlighem

Related authors

Layered seawater intrusion and melt under grounded ice
Alexander A. Robel, Earle Wilson, and Helene Seroussi
The Cryosphere, 16, 451–469, https://doi.org/10.5194/tc-16-451-2022,https://doi.org/10.5194/tc-16-451-2022, 2022
Short summary
Assessment of numerical schemes for transient, finite-element ice flow models using ISSM v4.18
Thiago Dias dos Santos, Mathieu Morlighem, and Hélène Seroussi
Geosci. Model Dev., 14, 2545–2573, https://doi.org/10.5194/gmd-14-2545-2021,https://doi.org/10.5194/gmd-14-2545-2021, 2021
Short summary
ISMIP6-based projections of ocean-forced Antarctic Ice Sheet evolution using the Community Ice Sheet Model
William H. Lipscomb, Gunter R. Leguy, Nicolas C. Jourdain, Xylar Asay-Davis, Hélène Seroussi, and Sophie Nowicki
The Cryosphere, 15, 633–661, https://doi.org/10.5194/tc-15-633-2021,https://doi.org/10.5194/tc-15-633-2021, 2021
Short summary
Extended enthalpy formulations in the Ice-sheet and Sea-level System Model (ISSM) version 4.17: discontinuous conductivity and anisotropic streamline upwind Petrov–Galerkin (SUPG) method
Martin Rückamp, Angelika Humbert, Thomas Kleiner, Mathieu Morlighem, and Helene Seroussi
Geosci. Model Dev., 13, 4491–4501, https://doi.org/10.5194/gmd-13-4491-2020,https://doi.org/10.5194/gmd-13-4491-2020, 2020
Short summary
A protocol for calculating basal melt rates in the ISMIP6 Antarctic ice sheet projections
Nicolas C. Jourdain, Xylar Asay-Davis, Tore Hattermann, Fiammetta Straneo, Hélène Seroussi, Christopher M. Little, and Sophie Nowicki
The Cryosphere, 14, 3111–3134, https://doi.org/10.5194/tc-14-3111-2020,https://doi.org/10.5194/tc-14-3111-2020, 2020
Short summary

Related subject area

Discipline: Ice sheets | Subject: Numerical Modelling
Effective coefficient of diffusion and permeability of firn at Dome C and Lock In, Antarctica, and of various snow types – estimates over the 100–850 kg m−3 density range
Neige Calonne, Alexis Burr, Armelle Philip, Frédéric Flin, and Christian Geindreau
The Cryosphere, 16, 967–980, https://doi.org/10.5194/tc-16-967-2022,https://doi.org/10.5194/tc-16-967-2022, 2022
Short summary
The instantaneous impact of calving and thinning on the Larsen C Ice Shelf
Tom Mitcham, G. Hilmar Gudmundsson, and Jonathan L. Bamber
The Cryosphere, 16, 883–901, https://doi.org/10.5194/tc-16-883-2022,https://doi.org/10.5194/tc-16-883-2022, 2022
Short summary
Derivation of bedrock topography measurement requirements for the reduction of uncertainty in ice-sheet model projections of Thwaites Glacier
Blake A. Castleman, Nicole-Jeanne Schlegel, Lambert Caron, Eric Larour, and Ala Khazendar
The Cryosphere, 16, 761–778, https://doi.org/10.5194/tc-16-761-2022,https://doi.org/10.5194/tc-16-761-2022, 2022
Short summary
A comparison of the stability and performance of depth-integrated ice-dynamics solvers
Alexander Robinson, Daniel Goldberg, and William H. Lipscomb
The Cryosphere, 16, 689–709, https://doi.org/10.5194/tc-16-689-2022,https://doi.org/10.5194/tc-16-689-2022, 2022
Short summary
Impact of runoff temporal distribution on ice dynamics
Basile de Fleurian, Richard Davy, and Petra M. Langebroek
The Cryosphere Discuss., https://doi.org/10.5194/tc-2022-6,https://doi.org/10.5194/tc-2022-6, 2022
Revised manuscript accepted for TC
Short summary

Cited articles

Arthern, R. and Williams, C.: The sensitivity of West Antarctica to the submarine melting feedback, Geophys. Res. Lett., 44, 2352–2359, https://doi.org/10.1002/2017GL072514, 2017. a, b, c
Asay-Davis, X. S., Cornford, S. L., Durand, G., Galton-Fenzi, B. K., Gladstone, R. M., Gudmundsson, G. H., Hattermann, T., Holland, D. M., Holland, D., Holland, P. R., Martin, D. F., Mathiot, P., Pattyn, F., and Seroussi, H.: Experimental design for three interrelated marine ice sheet and ocean model intercomparison projects: MISMIP v. 3 (MISMIP +), ISOMIP v. 2 (ISOMIP +) and MISOMIP v. 1 (MISOMIP1), Geosci. Model Dev., 9, 2471–2497, https://doi.org/10.5194/gmd-9-2471-2016, 2016. a, b, c, d, e, f, g
Berger, S., Drews, R., Helm, V., Sun, S., and Pattyn, F.: Detecting high spatial variability of ice shelf basal mass balance, Roi Baudouin Ice Shelf, Antarctica, The Cryosphere, 11, 2675–2690, https://doi.org/10.5194/tc-11-2675-2017, 2017. 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, https://doi.org/10.1017/jog.2017.51, 2017. a
Cornford, S. L., Martin, D. F., Lee, V., Payne, A. J., and Ng, E.: Adaptive mesh refinement versus subgrid friction interpolation in simulations of Antarctic ice dynamics, Ann. Glaciol., 57, 73, https://doi.org/10.1017/aog.2016.13, 2016. a, b