Articles | Volume 20, issue 11
https://doi.org/10.5194/tc-20-6453-2026
https://doi.org/10.5194/tc-20-6453-2026
Research article
 | 
11 Nov 2026
Research article |  | 11 Nov 2026

The implementation and effectiveness of Calving Algorithms in numerical ice models (CalvingMIP)

James R. Jordan, Frank Pattyn, Daniel Abele, Torsten Albrecht, Jorge Alvarez-Solas, Jowan M. Barnes, Tijn J. Berends, Jorge A. Bernales, Javier Blasco, Gong Cheng, Youngmin Choi, Stephen L. Cornford, Cruz Garcia-Molina, Fabien Gillet-Chaulet, G. Hilmar Gudmundsson, Angelika Humbert, Gunter R. Leguy, William H. Lipscomb, Marisa Montoya, Daniel Moreno-Parada, Mathieu Morlighem, Tyler Pelle, Alexander Robinson, Martin Rückamp, Hélène Seroussi, Yanmei Tian, Luisa Wagner, Roderick S. W. van de Wal, Liyun Zhao, and Thomas Zwinger

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Cited articles

Albrecht, T., Martin, M., Haseloff, M., Winkelmann, R., and Levermann, A.: Parameterization for subgrid-scale motion of ice-shelf calving fronts, The Cryosphere, 5, 35–44, https://doi.org/10.5194/tc-5-35-2011, 2011. a, b, c
Ambelorun, A. A. and Robel, A. A.: The integrated ice sheet response to stochastic iceberg calving, J. Glaciol., 71, e79, https://doi.org/10.1017/jog.2025.10056, 2025. a
Barnes, J. M., Gudmundsson, G. H., Goldberg, D. N., and Sun, S.: Modelling the sensitivity of ice loss to calving front retreat rates in the Amundsen Sea Embayment, West Antarctica, The Cryosphere, 20, 777–790, https://doi.org/10.5194/tc-20-777-2026, 2026. a
Baumhoer, C. A., Dietz, A. J., Heidler, K., and Kuenzer, C.: IceLines – A new data set of Antarctic ice shelf front positions, Scientific Data, 10, 138, https://doi.org/10.1038/s41597-023-02045-x, 2023. a
Beckmann, A. and Goosse, H.: A parameterization of ice shelf–ocean interaction for climate models, Ocean Model., 5, 157–170, https://doi.org/10.1016/S1463-5003(02)00019-7, 2003. a
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Short summary
Ice calving is a recent inclusion in ice sheet models and there has not been a systematic test of how well it has been implemented. We show that models can accurately represent a given rate of ice calving, properties at the ice front evolve smoothly during calving, and that there are no consistent differences in ice behaviour between various approaches to representing calving in numerical ice models. This gives us confidence in their ability for use in sea level rise prediction simulations.
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