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

Related authors

Resolving glacial isostatic adjustment (GIA) in response to modern and future ice loss at marine grounding lines in West Antarctica
Jeannette Xiu Wen Wan, Natalya Gomez, Konstantin Latychev, and Holly Kyeore Han
The Cryosphere, 16, 2203–2223, https://doi.org/10.5194/tc-16-2203-2022,https://doi.org/10.5194/tc-16-2203-2022, 2022
Short summary

Related subject area

Solid Earth
AdaHRBF v1.0: gradient-adaptive Hermite–Birkhoff radial basis function interpolants for three-dimensional stratigraphic implicit modeling
Baoyi Zhang, Linze Du, Umair Khan, Yongqiang Tong, Lifang Wang, and Hao Deng
Geosci. Model Dev., 16, 3651–3674, https://doi.org/10.5194/gmd-16-3651-2023,https://doi.org/10.5194/gmd-16-3651-2023, 2023
Short summary
PySubdiv 1.0: open-source geological modeling and reconstruction by non-manifold subdivision surfaces
Mohammad Moulaeifard, Simon Bernard, and Florian Wellmann
Geosci. Model Dev., 16, 3565–3579, https://doi.org/10.5194/gmd-16-3565-2023,https://doi.org/10.5194/gmd-16-3565-2023, 2023
Short summary
Reconstructing tephra fall deposits via ensemble-based data assimilation techniques
Leonardo Mingari, Antonio Costa, Giovanni Macedonio, and Arnau Folch
Geosci. Model Dev., 16, 3459–3478, https://doi.org/10.5194/gmd-16-3459-2023,https://doi.org/10.5194/gmd-16-3459-2023, 2023
Short summary
IMEX_SfloW2D v2: a depth-averaged numerical flow model for volcanic gas-particle flows over complex topographies and water
Mattia de' Michieli Vitturi, Tomaso Esposti Ongaro, and Samantha Engwell
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-80,https://doi.org/10.5194/gmd-2023-80, 2023
Revised manuscript accepted for GMD
Short summary
ClinoformNet-1.0: stratigraphic forward modeling and deep learning for seismic clinoform delineation
Hui Gao, Xinming Wu, Jinyu Zhang, Xiaoming Sun, and Zhengfa Bi
Geosci. Model Dev., 16, 2495–2513, https://doi.org/10.5194/gmd-16-2495-2023,https://doi.org/10.5194/gmd-16-2495-2023, 2023
Short summary

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. 
Download
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.