Articles | Volume 18, issue 3
https://doi.org/10.5194/tc-18-1013-2024
https://doi.org/10.5194/tc-18-1013-2024
Research article
 | 
04 Mar 2024
Research article |  | 04 Mar 2024

Smoothed particle hydrodynamics implementation of the standard viscous–plastic sea-ice model and validation in simple idealized experiments

Oreste Marquis, Bruno Tremblay, Jean-François Lemieux, and Mohammed Islam

Related authors

On the sensitivity of sea ice deformation statistics to plastic damage
Antoine Savard and Bruno Tremblay
The Cryosphere, 18, 2017–2034, https://doi.org/10.5194/tc-18-2017-2024,https://doi.org/10.5194/tc-18-2017-2024, 2024
Short summary
Using Icepack to reproduce ice mass balance buoy observations in landfast ice: improvements from the mushy-layer thermodynamics
Mathieu Plante, Jean-François Lemieux, L. Bruno Tremblay, Adrienne Tivy, Joey Angnatok, François Roy, Gregory Smith, Frédéric Dupont, and Adrian K. Turner
The Cryosphere, 18, 1685–1708, https://doi.org/10.5194/tc-18-1685-2024,https://doi.org/10.5194/tc-18-1685-2024, 2024
Short summary
CICE on a C-grid: new momentum, stress, and transport schemes for CICEv6.5
Jean-Francois Lemieux, William Lipscomb, Anthony Craig, David A. Bailey, Elizabeth Hunke, Philippe Blain, Till A. S. Rasmussen, Mats Bentsen, Frederic Dupont, David Hebert, and Richard Allard
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-239,https://doi.org/10.5194/gmd-2023-239, 2024
Revised manuscript under review for GMD
Short summary
A probabilistic seabed–ice keel interaction model
Frédéric Dupont, Dany Dumont, Jean-François Lemieux, Elie Dumas-Lefebvre, and Alain Caya
The Cryosphere, 16, 1963–1977, https://doi.org/10.5194/tc-16-1963-2022,https://doi.org/10.5194/tc-16-1963-2022, 2022
Short summary
A new state-dependent parameterization for the free drift of sea ice
Charles Brunette, L. Bruno Tremblay, and Robert Newton
The Cryosphere, 16, 533–557, https://doi.org/10.5194/tc-16-533-2022,https://doi.org/10.5194/tc-16-533-2022, 2022
Short summary

Related subject area

Discipline: Sea ice | Subject: Numerical Modelling
Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic
Charlotte Durand, Tobias Sebastian Finn, Alban Farchi, Marc Bocquet, Guillaume Boutin, and Einar Ólason
The Cryosphere, 18, 1791–1815, https://doi.org/10.5194/tc-18-1791-2024,https://doi.org/10.5194/tc-18-1791-2024, 2024
Short summary
Using Icepack to reproduce ice mass balance buoy observations in landfast ice: improvements from the mushy-layer thermodynamics
Mathieu Plante, Jean-François Lemieux, L. Bruno Tremblay, Adrienne Tivy, Joey Angnatok, François Roy, Gregory Smith, Frédéric Dupont, and Adrian K. Turner
The Cryosphere, 18, 1685–1708, https://doi.org/10.5194/tc-18-1685-2024,https://doi.org/10.5194/tc-18-1685-2024, 2024
Short summary
Understanding the influence of ocean waves on Arctic sea ice simulation: a modeling study with an atmosphere–ocean–wave–sea ice coupled model
Chao-Yuan Yang, Jiping Liu, and Dake Chen
The Cryosphere, 18, 1215–1239, https://doi.org/10.5194/tc-18-1215-2024,https://doi.org/10.5194/tc-18-1215-2024, 2024
Short summary
Sea ice cover in the Copernicus Arctic Regional Reanalysis
Yurii Batrak, Bin Cheng, and Viivi Kallio-Myers
The Cryosphere, 18, 1157–1183, https://doi.org/10.5194/tc-18-1157-2024,https://doi.org/10.5194/tc-18-1157-2024, 2024
Short summary
Phase-field models of floe fracture in sea ice
Huy Dinh, Dimitrios Giannakis, Joanna Slawinska, and Georg Stadler
The Cryosphere, 17, 3883–3893, https://doi.org/10.5194/tc-17-3883-2023,https://doi.org/10.5194/tc-17-3883-2023, 2023
Short summary

Cited articles

Adcroft, A., Anderson, W., Balaji, V., Blanton, C., Bushuk, M., Dufour, C. O., Dunne, J. P., Griffies, S. M., Hallberg, R., Harrison, M. J., Held, I. M., Jansen, M. F., John, J. G., Krasting, J. P., Langenhorst, A. R., Legg, S., Liang, Z., McHugh, C., Radhakrishnan, A., Reichl, B. G., Rosati, T., Samuels, B. L., Shao, A., Stouffer, R., Winton, M., Wittenberg, A. T., Xiang, B., Zadeh, N., and Zhang, R.: The GFDL Global Ocean and Sea Ice Model OM4.0: Model Description and Simulation Features, J. Adv. Model. Earth Sy., 11, 3167–3211, https://doi.org/10.1029/2019ms001726, 2019. a
Beatty, C. and Holland, D.: Modeling landfast sea ice by adding tensile strength, J. Phys. Oceanogr., 40, 185–198, https://doi.org/10.1175/2009JPO4105.1, 2010. a
Belytschko, T., Krongauz, Y., Dolbow, J., and Gerlach, C.: On the completeness of meshfree particle methods, Int. J. Numer. Meth. Eng., 43, 785–819, https://doi.org/10.1002/(sici)1097-0207(19981115)43:5<785::aid-nme420>3.0.co;2-9, 1998. a, b
Bouchat, A. and Tremblay, B.: Using sea-ice deformation fields to constrain the mechanical strength parameters of geophysical sea ice, J. Geophys. Res.-Oceans, 122, 5802–5825, https://doi.org/10.1002/2017jc013020, 2017. a
Bouchat, A., Hutter, N., Chanut, J., Dupont, F., Dukhovskoy, D., Garric, G., Lee, Y. J., Lemieux, J.-F., Lique, C., Losch, M., Maslowski, W., Myers, P. G., Ólason, E., Rampal, P., Rasmussen, T., Talandier, C., Tremblay, B., and Wang, Q.: Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea-Ice Deformation Fields, J. Geophys. Res.-Oceans, 127, e2021JC017667, https://doi.org/10.1029/2021jc017667, 2022. a, b
Download
Short summary
We developed a standard viscous–plastic sea-ice model based on the numerical framework called smoothed particle hydrodynamics. The model conforms to the theory within an error of 1 % in an idealized ridging experiment, and it is able to simulate stable ice arches. However, the method creates a dispersive plastic wave speed. The framework is efficient to simulate fractures and can take full advantage of parallelization, making it a good candidate to investigate sea-ice material properties.