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Journal Article

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

Authors

Jordan,  James R.
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Pattyn,  Frank
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Abele,  Daniel
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/persons/resource/Torsten.Albrecht

Albrecht,  Torsten       
Potsdam Institute for Climate Impact Research;

Alvarez-Solas,  Jorge
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Barnes,  Jowan M.
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Berends,  Tijn
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Bernales,  Jorge A.
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Blasco,  Javier
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Cheng,  Gong
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Choi,  Youngmin
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Cornford,  Stephen L.
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Garcia-Molina,  Cruz
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Gillet-Chaulet,  Fabien
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Gudmundsson,  G. Hilmar
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Humbert,  Angelika
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Leguy,  Gunter R.
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Lipscomb,  William H.
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Montoya,  Marisa
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Moreno-Parada,  Daniel
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Morlighem,  Mathieu
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Pelle,  Tyler
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/persons/resource/robinson

Robinson,  Alexander
Potsdam Institute for Climate Impact Research;

Rückamp,  Martin
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Seroussi,  Hélène
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Tian,  Yanmei
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Wagner,  Luisa
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van de Wal,  Roderick S. W.
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Zhao,  Liyun
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Zwinger,  Thomas
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External Resource

https://doi.org/10.5281/zenodo.20041205
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Citation

Jordan, J. R., Pattyn, F., Abele, D., Albrecht, T., Alvarez-Solas, J., Barnes, J. M., Berends, T., Bernales, J. A., Blasco, J., Cheng, G., Choi, Y., Cornford, S. L., Garcia-Molina, C., Gillet-Chaulet, F., Gudmundsson, G. H., Humbert, A., Leguy, G. R., Lipscomb, W. H., Montoya, M., Moreno-Parada, D., Morlighem, M., Pelle, T., Robinson, A., Rückamp, M., Seroussi, H., Tian, Y., Wagner, L., van de Wal, R. S. W., Zhao, L., Zwinger, T. (submitted): The implementation and effectiveness of Calving Algorithms in numerical ice models (CalvingMIP).


Cite as: https://publications.pik-potsdam.de/pubman/item/item_35222
Abstract
Ice calving plays a significant role in ice sheet mass loss. Predictions of future ice sheet mass balance require accurate representations of the calving process in numerical ice models to determine rates of future global mean sea level rise. Whilst calving has recently begun to have been implemented in numerical models there has not been a systematic investigation into how this implementation compares between different ice flow models. The Calving Model Intercomparison Project (CalvingMIP) has been established to address this question by providing a framework of experiments to investigate the accuracy of simulated calving rates and how simulated properties at the calving front evolve over time. Our initial focus has been on how calving is implemented in models, therefore focusing on calving algorithms, rather than on how much ice should be calved at a particular time (calving law). Our results, from thirteen different numerical modelling groups, show that the majority of calving algorithms implemented are able to accurately implement a given calving rate with an ice front that evolves smoothly throughout the calving process. These results show that we can have confidence in the models capacity to accurately implement calving laws in the future.