Articles | Volume 19, issue 1
https://doi.org/10.5194/tc-19-129-2025
https://doi.org/10.5194/tc-19-129-2025
Research article
 | 
13 Jan 2025
Research article |  | 13 Jan 2025

A hybrid ice-mélange model based on particle and continuum methods

Saskia Kahl, Carolin Mehlmann, and Dirk Notz

Related authors

SASIEv.1: a framework for seasonal and multi-centennial Arctic sea ice emulation
Sian Megan Chilcott, Malte Meinshausen, and Dirk Notz
Geosci. Model Dev., 18, 4965–4982, https://doi.org/10.5194/gmd-18-4965-2025,https://doi.org/10.5194/gmd-18-4965-2025, 2025
Short summary
Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals
Andreas Wernecke, Dirk Notz, Stefan Kern, and Thomas Lavergne
The Cryosphere, 18, 2473–2486, https://doi.org/10.5194/tc-18-2473-2024,https://doi.org/10.5194/tc-18-2473-2024, 2024
Short summary
CD-type discretization for sea ice dynamics in FESOM version 2
Sergey Danilov, Carolin Mehlmann, Dmitry Sidorenko, and Qiang Wang
Geosci. Model Dev., 17, 2287–2297, https://doi.org/10.5194/gmd-17-2287-2024,https://doi.org/10.5194/gmd-17-2287-2024, 2024
Short summary
Revisiting temperature sensitivity: how does Antarctic precipitation change with temperature?
Lena Nicola, Dirk Notz, and Ricarda Winkelmann
The Cryosphere, 17, 2563–2583, https://doi.org/10.5194/tc-17-2563-2023,https://doi.org/10.5194/tc-17-2563-2023, 2023
Short summary
Representation of soil hydrology in permafrost regions may explain large part of inter-model spread in simulated Arctic and subarctic climate
Philipp de Vrese, Goran Georgievski, Jesus Fidel Gonzalez Rouco, Dirk Notz, Tobias Stacke, Norman Julius Steinert, Stiig Wilkenskjeld, and Victor Brovkin
The Cryosphere, 17, 2095–2118, https://doi.org/10.5194/tc-17-2095-2023,https://doi.org/10.5194/tc-17-2095-2023, 2023
Short summary

Related subject area

Discipline: Sea ice | Subject: Numerical Modelling
Combining observational data and numerical models to obtain a seamless high temporal resolution seasonal cycle of snow and ice mass balance at the MOSAiC Central Observatory
Polona Itkin and Glen E. Liston
EGUsphere, https://doi.org/10.5194/egusphere-2024-3402,https://doi.org/10.5194/egusphere-2024-3402, 2024
Short summary
How many parameters are needed to represent polar sea ice surface patterns and heterogeneity?
Joseph Fogarty, Elie Bou-Zeid, Mitchell Bushuk, and Linette Boisvert
The Cryosphere, 18, 4335–4354, https://doi.org/10.5194/tc-18-4335-2024,https://doi.org/10.5194/tc-18-4335-2024, 2024
Short summary
Exploring non-Gaussian sea ice characteristics via observing system simulation experiments
Christopher Riedel and Jeffrey Anderson
The Cryosphere, 18, 2875–2896, https://doi.org/10.5194/tc-18-2875-2024,https://doi.org/10.5194/tc-18-2875-2024, 2024
Short summary
Past and future of the Arctic sea ice in High-Resolution Model Intercomparison Project (HighResMIP) climate models
Julia Selivanova, Doroteaciro Iovino, and Francesco Cocetta
The Cryosphere, 18, 2739–2763, https://doi.org/10.5194/tc-18-2739-2024,https://doi.org/10.5194/tc-18-2739-2024, 2024
Short summary
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

Cited articles

Amundson, J. M. and Burton, J. C.: Quasi-static granular flow of ice mélange, J. Geophys. Res., 123, 2243–2267, https://doi.org/10.1029/2018JF004685, 2018. a
Amundson, J. M., Fahnestock, M., Truffer, M., Brown, J., Lüthi, M. P., and Motyka, R. J.: Ice mélange dynamics and implications for terminus stability, Jakobshavn Isbræ, Greenland, J. Geophys. Res., 115, F01005, https://doi.org/10.1029/2009JF001405, 2010. a
Amundson, J. M., Robel, A. A., Burton, J. C., and Nissanka, K.: A quasi-one-dimensional ice mélange flow model based on continuum descriptions of granular materials, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-297, 2024. a
Bassis, J., Berg, B., Crawford, A., and Benn, D.: Transition to marine ice cliff instability controlled by ice thickness gradients and velocity, Science, 372, 1342–1344, https://doi.org/10.1126/science.abf6271, 2021. a
Bevan, S. L., Luckman, A. J., Benn, D. I., Cowton, T., and Todd, J.: Impact of warming shelf waters on ice mélange and terminus retreat at a large SE Greenland glacier, The Cryosphere, 13, 2303–2315, https://doi.org/10.5194/tc-13-2303-2019, 2019. a
Download
Short summary
Ice mélange, a mixture of sea ice and icebergs, can impact sea-ice–ocean interactions. But climate models do not yet represent it due to computational limits. To address this shortcoming and include ice mélange into climate models, we suggest representing icebergs as particles. We integrate their feedback into mathematical equations used to model the sea-ice motion in climate models. The setup is computationally efficient due to the iceberg particle usage and enables a realistic representation.
Share