Articles | Volume 15, issue 3
https://doi.org/10.5194/gmd-15-1355-2022
https://doi.org/10.5194/gmd-15-1355-2022
Development and technical paper
 | 
16 Feb 2022
Development and technical paper |  | 16 Feb 2022

Capturing the interactions between ice sheets, sea level and the solid Earth on a range of timescales: a new “time window” algorithm

Holly Kyeore Han, Natalya Gomez, and Jeannette Xiu Wen Wan

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Cited articles

An, M., Wiens, D. A., Zhao, Y., Feng, M., Nyblade, A., Kanao, M., Li, Y., Maggi, A., and Leveque, J. J.: Temperature, lithosphere-asthenosphere boundary, and heat flux beneath the Antarctic Plate inferred from seismic velocities, J. Geophys. Res.-Sol. Ea., 120, 8720–8742, https://doi.org/10.1002/2015JB011917, 2015. 
Argus, D. F., Peltier, W. R., Drummond, R., and Moore, A. W.: The Antarctica component of postglacial rebound model ICE-6G_C (VM5a) based on GPS positioning, exposure age. dating of ice thicknesses, and relative sea level histories, Geophys. J. Int., 198, 537–563, https://doi:10.1093/gji/ggu140, 2014. 
Barletta, V. R. and Bordoni, A.: Effect of different implementations of the same ice history in GIA modeling, J. Geodynam., 71, 65–73, https://doi.org/10.1016/j.jog.2013.07.002, 2013. 
Barletta, V. R., Bevis, M., Smith, B. E., Wilson, T., Brown, A., Bordoni, A., Willis, M., Khan, S. A., Rovira-Navarro, M., Dalziel, I., Smalley, R., Kendrick, E., Konfal, S., Caccamise, D., Aster, R. C., Nyblade, A., and Wiens, D. A.: Observed rapid bedrock uplift in amundsen sea embayment promotes ice-sheet stability, Science, 360, 1335–1339, https://doi.org/10.1126/science.aao1447, 2018. 
Brendryen, J., Haflidason, H., Yokoyama, Y., Haaga, K. A., and Hannisdal, B.: Eurasian Ice Sheet collapse was a major source of Meltwater Pulse 1A 14,600 years ago, Nat. Geosci., 13, 363–368, https://doi.org/10.1038/s41561-020-0567-4, 2020. 
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Short summary
Interactions between ice sheets, sea level and the solid Earth occur over a range of timescales from years to tens of thousands of years. This requires coupled ice-sheet–sea-level models to exchange information frequently, leading to a quadratic increase in computation time with the number of model timesteps. We present a new sea-level model algorithm that allows coupled models to improve the computational feasibility and precisely capture short-term interactions within longer simulations.