Articles | Volume 14, issue 6
https://doi.org/10.5194/tc-14-2137-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-14-2137-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
01 Jul 2020
Research article | Highlight paper |
| 01 Jul 2020
| 01 Jul 2020
Landfast sea ice material properties derived from ice bridge simulations using the Maxwell elasto-brittle rheology
Mathieu Plante
CORRESPONDING AUTHOR
Department of Atmospheric and Oceanic Sciences, McGill University, Montréal, Quebec, Canada
Bruno Tremblay
Department of Atmospheric and Oceanic Sciences, McGill University, Montréal, Quebec, Canada
Martin Losch
Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany
Jean-François Lemieux
Recherche en prévision numérique environnementale, Environnement et changement climatique Canada, Dorval, Quebec, Canada
Related authors
Jean-Francois Lemieux, Mathieu Plante, Nils Hutter, Damien Ringeisen, Bruno Tremblay, Francois Roy, and Philippe Blain
EGUsphere, https://doi.org/10.5194/egusphere-2024-3831, https://doi.org/10.5194/egusphere-2024-3831, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
Short summary
Short summary
Sea ice models simulate angles between cracks that are too wide compared to observations. Ringeisen et al. argue that this is due to the flow rule which defines the fracture deformations. We implemented a non-normal flow rule. This flow rule also leads to angles that are too wide. This is a consequence of deformations that tend to align with the grid. Nevertheless, this flow rule could be used to optimize deformations while other parameters could be used to modify landfast ice and ice drift.
Mathieu Plante, Jean-François Lemieux, L. Bruno Tremblay, Amélie Bouchat, Damien Ringeisen, Philippe Blain, Stephen Howell, Mike Brady, Alexander S. Komarov, Béatrice Duval, Lekima Yakuden, and Frédérique Labelle
Earth Syst. Sci. Data, 17, 423–434, https://doi.org/10.5194/essd-17-423-2025, https://doi.org/10.5194/essd-17-423-2025, 2025
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Sea ice forms a thin boundary between the ocean and the atmosphere, with complex, crust-like dynamics and ever-changing networks of sea ice leads and ridges. Statistics of these dynamical features are often used to evaluate sea ice models. Here, we present a new pan-Arctic dataset of sea ice deformations derived from satellite imagery, from 1 September 2017 to 31 August 2023. We discuss the dataset coverage and some limitations associated with uncertainties in the computed values.
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
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We use a sea ice model to reproduce ice growth observations from two buoys deployed on coastal sea ice and analyze the improvements brought by new physics that represent the presence of saline liquid water in the ice interior. We find that the new physics with default parameters degrade the model performance, with overly rapid ice growth and overly early snow flooding on top of the ice. The performance is largely improved by simple modifications to the ice growth and snow-flooding algorithms.
Mathieu Plante and L. Bruno Tremblay
The Cryosphere, 15, 5623–5638, https://doi.org/10.5194/tc-15-5623-2021, https://doi.org/10.5194/tc-15-5623-2021, 2021
Short summary
Short summary
We propose a generalized form for the damage parameterization such that super-critical stresses can return to the yield with different final sub-critical stress states. In uniaxial compression simulations, the generalization improves the orientation of sea ice fractures and reduces the growth of numerical errors. Shear and convergence deformations however remain predominant along the fractures, contrary to observations, and this calls for modification of the post-fracture viscosity formulation.
Jean-François Lemieux, L. Bruno Tremblay, and Mathieu Plante
The Cryosphere, 14, 3465–3478, https://doi.org/10.5194/tc-14-3465-2020, https://doi.org/10.5194/tc-14-3465-2020, 2020
Short summary
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Sea ice pressure poses great risk for navigation; it can lead to ship besetting and damages. Sea ice forecasting systems can predict the evolution of pressure. However, these systems have low spatial resolution (a few km) compared to the dimensions of ships. We study the downscaling of pressure from the km-scale to scales relevant for navigation. We find that the pressure applied on a ship beset in heavy ice conditions can be markedly larger than the pressure predicted by the forecasting system.
Jean-Francois Lemieux, Mathieu Plante, Nils Hutter, Damien Ringeisen, Bruno Tremblay, Francois Roy, and Philippe Blain
EGUsphere, https://doi.org/10.5194/egusphere-2024-3831, https://doi.org/10.5194/egusphere-2024-3831, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
Short summary
Short summary
Sea ice models simulate angles between cracks that are too wide compared to observations. Ringeisen et al. argue that this is due to the flow rule which defines the fracture deformations. We implemented a non-normal flow rule. This flow rule also leads to angles that are too wide. This is a consequence of deformations that tend to align with the grid. Nevertheless, this flow rule could be used to optimize deformations while other parameters could be used to modify landfast ice and ice drift.
Mathieu Plante, Jean-François Lemieux, L. Bruno Tremblay, Amélie Bouchat, Damien Ringeisen, Philippe Blain, Stephen Howell, Mike Brady, Alexander S. Komarov, Béatrice Duval, Lekima Yakuden, and Frédérique Labelle
Earth Syst. Sci. Data, 17, 423–434, https://doi.org/10.5194/essd-17-423-2025, https://doi.org/10.5194/essd-17-423-2025, 2025
Short summary
Short summary
Sea ice forms a thin boundary between the ocean and the atmosphere, with complex, crust-like dynamics and ever-changing networks of sea ice leads and ridges. Statistics of these dynamical features are often used to evaluate sea ice models. Here, we present a new pan-Arctic dataset of sea ice deformations derived from satellite imagery, from 1 September 2017 to 31 August 2023. We discuss the dataset coverage and some limitations associated with uncertainties in the computed values.
Jean-François Lemieux, William H. Lipscomb, Anthony Craig, David A. Bailey, Elizabeth C. Hunke, Philippe Blain, Till A. S. Rasmussen, Mats Bentsen, Frédéric Dupont, David Hebert, and Richard Allard
Geosci. Model Dev., 17, 6703–6724, https://doi.org/10.5194/gmd-17-6703-2024, https://doi.org/10.5194/gmd-17-6703-2024, 2024
Short summary
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We present the latest version of the CICE model. It solves equations that describe the dynamics and the growth and melt of sea ice. To do so, the domain is divided into grid cells and variables are positioned at specific locations in the cells. A new implementation (C-grid) is presented, with the velocity located on cell edges. Compared to the previous B-grid, the C-grid allows for a natural coupling with some oceanic and atmospheric models. It also allows for ice transport in narrow channels.
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
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We include a suitable plastic damage parametrization in the standard viscous–plastic (VP) sea ice model to disentangle its effect from resolved model physics (visco-plastic with and without damage) on its ability to reproduce observed scaling laws of deformation. This study shows that including a damage parametrization in the VP model improves its performance in simulating the statistical behavior of fracture patterns. Therefore, a damage parametrization is a powerful tuning knob.
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
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We use a sea ice model to reproduce ice growth observations from two buoys deployed on coastal sea ice and analyze the improvements brought by new physics that represent the presence of saline liquid water in the ice interior. We find that the new physics with default parameters degrade the model performance, with overly rapid ice growth and overly early snow flooding on top of the ice. The performance is largely improved by simple modifications to the ice growth and snow-flooding algorithms.
Oreste Marquis, Bruno Tremblay, Jean-François Lemieux, and Mohammed Islam
The Cryosphere, 18, 1013–1032, https://doi.org/10.5194/tc-18-1013-2024, https://doi.org/10.5194/tc-18-1013-2024, 2024
Short summary
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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.
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
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In some shallow seas, grounded ice ridges contribute to stabilizing and maintaining a landfast ice cover. A scheme has already proposed where the keel thickness varies linearly with the mean thickness. Here, we extend the approach by taking into account the ice thickness and bathymetry distributions. The probabilistic approach shows a reasonably good agreement with observations and previous grounding scheme while potentially offering more physical insights into the formation of landfast 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
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Sea ice motion is a versatile parameter for monitoring the Arctic climate system. In this contribution, we use data from drifting buoys, winds, and ice thickness to parameterize the motion of sea ice in a free drift regime – i.e., flowing freely in response to the forcing from the winds and ocean currents. We show that including a dependence on sea ice thickness and taking into account a climatology of the surface ocean circulation significantly improves the accuracy of sea ice motion estimates.
Mathieu Plante and L. Bruno Tremblay
The Cryosphere, 15, 5623–5638, https://doi.org/10.5194/tc-15-5623-2021, https://doi.org/10.5194/tc-15-5623-2021, 2021
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We propose a generalized form for the damage parameterization such that super-critical stresses can return to the yield with different final sub-critical stress states. In uniaxial compression simulations, the generalization improves the orientation of sea ice fractures and reduces the growth of numerical errors. Shear and convergence deformations however remain predominant along the fractures, contrary to observations, and this calls for modification of the post-fracture viscosity formulation.
Damien Ringeisen, L. Bruno Tremblay, and Martin Losch
The Cryosphere, 15, 2873–2888, https://doi.org/10.5194/tc-15-2873-2021, https://doi.org/10.5194/tc-15-2873-2021, 2021
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Deformations in the Arctic sea ice cover take the shape of narrow lines. High-resolution sea ice models recreate these deformation lines. Recent studies have shown that the most widely used sea ice model creates fracture lines with intersection angles larger than those observed and cannot create smaller angles. In our work, we change the way sea ice deforms post-fracture. This change allows us to understand the link between the sea ice model and intersection angles and create more acute angles.
Gregory C. Smith, Yimin Liu, Mounir Benkiran, Kamel Chikhar, Dorina Surcel Colan, Audrey-Anne Gauthier, Charles-Emmanuel Testut, Frederic Dupont, Ji Lei, François Roy, Jean-François Lemieux, and Fraser Davidson
Geosci. Model Dev., 14, 1445–1467, https://doi.org/10.5194/gmd-14-1445-2021, https://doi.org/10.5194/gmd-14-1445-2021, 2021
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Canada's coastlines include diverse ocean environments. In response to the strong need to support marine activities and security, we present the first pan-Canadian operational regional ocean analysis system. A novel online tidal harmonic analysis method is introduced that uses a sliding-window approach. Innovations are compared to those from the Canadian global analysis system. Particular improvements are found near the Gulf Stream due to the higher model grid resolution.
Shihe Ren, Xi Liang, Qizhen Sun, Hao Yu, L. Bruno Tremblay, Bo Lin, Xiaoping Mai, Fu Zhao, Ming Li, Na Liu, Zhikun Chen, and Yunfei Zhang
Geosci. Model Dev., 14, 1101–1124, https://doi.org/10.5194/gmd-14-1101-2021, https://doi.org/10.5194/gmd-14-1101-2021, 2021
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Sea ice plays a crucial role in global energy and water budgets. To get a better simulation of sea ice, we coupled a sea ice model with an atmospheric and ocean model to form a fully coupled system. The sea ice simulation results of this coupled system demonstrated that a two-way coupled model has better performance in terms of sea ice, especially in summer. This indicates that sea-ice–ocean–atmosphere interaction plays a crucial role in controlling Arctic summertime sea ice distribution.
Jean-François Lemieux, L. Bruno Tremblay, and Mathieu Plante
The Cryosphere, 14, 3465–3478, https://doi.org/10.5194/tc-14-3465-2020, https://doi.org/10.5194/tc-14-3465-2020, 2020
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Sea ice pressure poses great risk for navigation; it can lead to ship besetting and damages. Sea ice forecasting systems can predict the evolution of pressure. However, these systems have low spatial resolution (a few km) compared to the dimensions of ships. We study the downscaling of pressure from the km-scale to scales relevant for navigation. We find that the pressure applied on a ship beset in heavy ice conditions can be markedly larger than the pressure predicted by the forecasting system.
Angela Cheng, Barbara Casati, Adrienne Tivy, Tom Zagon, Jean-François Lemieux, and L. Bruno Tremblay
The Cryosphere, 14, 1289–1310, https://doi.org/10.5194/tc-14-1289-2020, https://doi.org/10.5194/tc-14-1289-2020, 2020
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Sea ice charts by the Canadian Ice Service (CIS) contain visually estimated ice concentration produced by analysts. The accuracy of manually derived ice concentrations is not well understood. The subsequent uncertainty of ice charts results in downstream uncertainties for ice charts users, such as models and climatology studies, and when used as a verification source for automated sea ice classifiers. This study quantifies the level of accuracy and inter-analyst agreement for ice charts by CIS.
Jean-François Lemieux and Frédéric Dupont
Geosci. Model Dev., 13, 1763–1769, https://doi.org/10.5194/gmd-13-1763-2020, https://doi.org/10.5194/gmd-13-1763-2020, 2020
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Sea ice dynamics plays an important role in shaping the sea cover in polar regions. Winds and ocean currents exert large stresses on the sea ice cover. This can lead to the formation of long cracks and ridges, which strongly impact the exchange of heat, momentum and moisture between the atmosphere and the ocean. It is therefore crucial for a sea ice model to be able to represent these features. This article describes how internal sea ice stresses should be diagnosed from model simulations.
Nils Hutter and Martin Losch
The Cryosphere, 14, 93–113, https://doi.org/10.5194/tc-14-93-2020, https://doi.org/10.5194/tc-14-93-2020, 2020
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Sea ice is composed of a multitude of floes that constantly deform due to wind and ocean currents and thereby form leads and pressure ridges. These features are visible in the ice as stripes of open-ocean or high-piled ice. High-resolution sea ice models start to resolve these deformation features. In this paper we present two simulations that agree with satellite data according to a new evaluation metric that detects deformation features and compares their spatial and temporal characteristics.
Svetlana N. Losa, Stephanie Dutkiewicz, Martin Losch, Julia Oelker, Mariana A. Soppa, Scarlett Trimborn, Hongyan Xi, and Astrid Bracher
Biogeosciences Discuss., https://doi.org/10.5194/bg-2019-289, https://doi.org/10.5194/bg-2019-289, 2019
Manuscript not accepted for further review
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This study highlights recent advances and challenges of applying coupled physical-biogeochemical modeling for investigating the distribution of the key phytoplankton groups in the Southern Ocean. By leveraging satellite and in situ observations we define numerical ecological model requirements in the phytoplankton trait specification and level of physiological and morphological differentiation for capturing and explaining the observed biogeography of diatoms, coccolithophores and Phaeocystis.
Damien Ringeisen, Martin Losch, L. Bruno Tremblay, and Nils Hutter
The Cryosphere, 13, 1167–1186, https://doi.org/10.5194/tc-13-1167-2019, https://doi.org/10.5194/tc-13-1167-2019, 2019
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We study the creation of fracture in sea ice plastic models. To do this, we compress an ideal piece of ice of 8 km by 25 km. We use two different mathematical expressions defining the resistance of ice. We find that the most common one is unable to model the fracture correctly, while the other gives better results but brings instabilities. The results are often in opposition with ice granular nature (e.g., sand) and call for changes in ice modeling.
Nils Hutter, Lorenzo Zampieri, and Martin Losch
The Cryosphere, 13, 627–645, https://doi.org/10.5194/tc-13-627-2019, https://doi.org/10.5194/tc-13-627-2019, 2019
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Arctic sea ice is an aggregate of ice floes with various sizes. The different sizes result from constant deformation of the ice pack. If a floe breaks, open ocean is exposed in a lead. Collision of floes forms pressure ridges. Here, we present algorithms that detect and track these deformation features in satellite observations and model output. The tracked features are used to provide a comprehensive description of localized deformation of sea ice and help to understand its material properties.
Frédéric Laliberté, Stephen E. L. Howell, Jean-François Lemieux, Frédéric Dupont, and Ji Lei
The Cryosphere, 12, 3577–3588, https://doi.org/10.5194/tc-12-3577-2018, https://doi.org/10.5194/tc-12-3577-2018, 2018
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Ice that forms over marginal seas often gets anchored and becomes landfast. Landfast ice is fundamental to the local ecosystems, is of economic importance as it leads to hazardous seafaring conditions and is also a choice hunting ground for both the local population and large predators. Using observations and climate simulations, this study shows that, especially in the Canadian Arctic, landfast ice might be more resilient to climate change than is generally thought.
Andrea Klus, Matthias Prange, Vidya Varma, Louis Bruno Tremblay, and Michael Schulz
Clim. Past, 14, 1165–1178, https://doi.org/10.5194/cp-14-1165-2018, https://doi.org/10.5194/cp-14-1165-2018, 2018
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Numerous proxy records from the northern North Atlantic suggest substantial climate variability including the occurrence of multi-decadal-to-centennial cold events during the Holocene. We analyzed two abrupt cold events in a Holocene simulation using a comprehensive climate model. It is shown that the events were ultimately triggered by prolonged phases of positive North Atlantic Oscillation causing changes in ocean circulation followed by severe cooling, freshening, and expansion of sea ice.
Paul J. Kushner, Lawrence R. Mudryk, William Merryfield, Jaison T. Ambadan, Aaron Berg, Adéline Bichet, Ross Brown, Chris Derksen, Stephen J. Déry, Arlan Dirkson, Greg Flato, Christopher G. Fletcher, John C. Fyfe, Nathan Gillett, Christian Haas, Stephen Howell, Frédéric Laliberté, Kelly McCusker, Michael Sigmond, Reinel Sospedra-Alfonso, Neil F. Tandon, Chad Thackeray, Bruno Tremblay, and Francis W. Zwiers
The Cryosphere, 12, 1137–1156, https://doi.org/10.5194/tc-12-1137-2018, https://doi.org/10.5194/tc-12-1137-2018, 2018
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Here, the Canadian research network CanSISE uses state-of-the-art observations of snow and sea ice to assess how Canada's climate model and climate prediction systems capture variability in snow, sea ice, and related climate parameters. We find that the system performs well, accounting for observational uncertainty (especially for snow), model uncertainty, and chaotic climate variability. Even for variables like sea ice, where improvement is needed, useful prediction tools can be developed.
Vincent Le Fouest, Atsushi Matsuoka, Manfredi Manizza, Mona Shernetsky, Bruno Tremblay, and Marcel Babin
Biogeosciences, 15, 1335–1346, https://doi.org/10.5194/bg-15-1335-2018, https://doi.org/10.5194/bg-15-1335-2018, 2018
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Climate warming could enhance the load of terrigenous dissolved organic carbon (tDOC) of Arctic rivers. We show that tDOC concentrations simulated by an ocean–biogeochemical model in the Canadian Beaufort Sea compare favorably with their satellite counterparts. Over spring–summer, riverine tDOC contributes to 35 % of primary production and an equivalent of ~ 10 % of tDOC is exported westwards with the potential for fueling the biological production of the eastern Alaskan nearshore waters.
Dirk Notz, Alexandra Jahn, Marika Holland, Elizabeth Hunke, François Massonnet, Julienne Stroeve, Bruno Tremblay, and Martin Vancoppenolle
Geosci. Model Dev., 9, 3427–3446, https://doi.org/10.5194/gmd-9-3427-2016, https://doi.org/10.5194/gmd-9-3427-2016, 2016
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The large-scale evolution of sea ice is both an indicator and a driver of climate changes. Hence, a realistic simulation of sea ice is key for a realistic simulation of the climate system of our planet. To assess and to improve the realism of sea-ice simulations, we present here a new protocol for climate-model output that allows for an in-depth analysis of the simulated evolution of sea ice.
Qinghua Yang, Martin Losch, Svetlana N. Losa, Thomas Jung, Lars Nerger, and Thomas Lavergne
The Cryosphere, 10, 761–774, https://doi.org/10.5194/tc-10-761-2016, https://doi.org/10.5194/tc-10-761-2016, 2016
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We assimilate the summer SICCI sea ice concentration data with an ensemble-based Kalman Filter. Comparing with the approach using a constant data uncertainty, the sea ice concentration estimates are further improved when the SICCI-provided uncertainty are taken into account, but the sea ice thickness cannot be improved. We find the data assimilation system cannot give a reasonable ensemble spread of sea ice concentration and thickness if the provided uncertainty are directly used.
F. Dupont, S. Higginson, R. Bourdallé-Badie, Y. Lu, F. Roy, G. C. Smith, J.-F. Lemieux, G. Garric, and F. Davidson
Geosci. Model Dev., 8, 1577–1594, https://doi.org/10.5194/gmd-8-1577-2015, https://doi.org/10.5194/gmd-8-1577-2015, 2015
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1/12th degree resolution runs of Arctic--Atlantic were compared for the period 2003-2009. We found good representation of sea surface height and of its statistics; model temperature and salinity in general agreement with in situ measurements, but upper ocean properties in Beaufort Sea are challenging; distribution of concentration and volume of sea ice is improved when slowing down the ice and further improvements require better initial conditions and modifications to mixing.
T. Kurahashi-Nakamura, M. Losch, and A. Paul
Geosci. Model Dev., 7, 419–432, https://doi.org/10.5194/gmd-7-419-2014, https://doi.org/10.5194/gmd-7-419-2014, 2014
Related subject area
Discipline: Sea ice | Subject: Rheology
Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology
On the sensitivity of sea ice deformation statistics to plastic damage
Non-normal flow rules affect fracture angles in sea ice viscous–plastic rheologies
Behavior of saline ice under cyclic flexural loading
Parameter optimization in sea ice models with elastic–viscoplastic rheology
Yumeng Chen, Polly Smith, Alberto Carrassi, Ivo Pasmans, Laurent Bertino, Marc Bocquet, Tobias Sebastian Finn, Pierre Rampal, and Véronique Dansereau
The Cryosphere, 18, 2381–2406, https://doi.org/10.5194/tc-18-2381-2024, https://doi.org/10.5194/tc-18-2381-2024, 2024
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We explore multivariate state and parameter estimation using a data assimilation approach through idealised simulations in a dynamics-only sea-ice model based on novel rheology. We identify various potential issues that can arise in complex operational sea-ice models when model parameters are estimated. Even though further investigation will be needed for such complex sea-ice models, we show possibilities of improving the observed and the unobserved model state forecast and parameter accuracy.
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
Short summary
We include a suitable plastic damage parametrization in the standard viscous–plastic (VP) sea ice model to disentangle its effect from resolved model physics (visco-plastic with and without damage) on its ability to reproduce observed scaling laws of deformation. This study shows that including a damage parametrization in the VP model improves its performance in simulating the statistical behavior of fracture patterns. Therefore, a damage parametrization is a powerful tuning knob.
Damien Ringeisen, L. Bruno Tremblay, and Martin Losch
The Cryosphere, 15, 2873–2888, https://doi.org/10.5194/tc-15-2873-2021, https://doi.org/10.5194/tc-15-2873-2021, 2021
Short summary
Short summary
Deformations in the Arctic sea ice cover take the shape of narrow lines. High-resolution sea ice models recreate these deformation lines. Recent studies have shown that the most widely used sea ice model creates fracture lines with intersection angles larger than those observed and cannot create smaller angles. In our work, we change the way sea ice deforms post-fracture. This change allows us to understand the link between the sea ice model and intersection angles and create more acute angles.
Andrii Murdza, Erland M. Schulson, and Carl E. Renshaw
The Cryosphere, 15, 2415–2428, https://doi.org/10.5194/tc-15-2415-2021, https://doi.org/10.5194/tc-15-2415-2021, 2021
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It has been suggested that the observed sudden breakup of Arctic and Antarctic floating ice covers may be due to fatigue failure associated with cyclic loading from ocean swells that can penetrate deeply into an ice pack. To investigate this possibility, we measured the flexural strength of saline ice after cyclic loading. Contrary to expectations, we find that the flexural strength of saline ice increases upon cycling, similar to the behavior of laboratory-grown ice and natural lake ice.
Gleb Panteleev, Max Yaremchuk, Jacob N. Stroh, Oceana P. Francis, and Richard Allard
The Cryosphere, 14, 4427–4451, https://doi.org/10.5194/tc-14-4427-2020, https://doi.org/10.5194/tc-14-4427-2020, 2020
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In the CICE6 community model, rheology and landfast grounding/arching effects are simulated by functions of sea ice thickness and concentration with a set of fixed parameters empirically adjusted to optimize model performance. In this study we consider a spatially variable extension for representing these parameters in the two-dimensional elastic–viscoplastic (EVP) sea ice model and analyze the feasibility of the optimization of these parameters through the 4D-Var data assimilation approach.
Cited articles
Amitrano, D. and Helmstetter, A.: Brittle creep, damage and time to failure in
rocks, J. Geophys. Res.-Solid Earth, 111, B11201,
https://doi.org/10.1029/2005JB004252, 2006. a
Barber, D. and Massom, R.: Chapter 1 The Role of Sea Ice in Arctic and
Antarctic Polynyas, in: Polynyas: Windows to the World, edited by: Smith, W.
and Barber, D., vol. 74 of Elsevier Oceanography Series, 1–54,
Elsevier, https://doi.org/10.1016/S0422-9894(06)74001-6,
2007. a
Barry, R., Moritz, R., and Rogers, J.: The fast ice regimes of the Beaufort
and Chukchi Sea coasts, Alaska, Cold Reg. Sci. Technol., 1,
129–152, https://doi.org/10.1016/0165-232X(79)90006-5,
1979. a
Beatty, C. K. and Holland, D. M.: Modeling Landfast Sea Ice by Adding Tensile
Strength, Am. Meteorol. Soc., 40, 185–198,
https://doi.org/10.1175/2009JPO4105.1, 2010. 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
Cowie, P. A., Vanneste, C., and Sornette, D.: Statistical physics model for the
spatiotemporal evolution of faults, J. Geophys. Res.-Solid
Earth, 98, 21809–21821, https://doi.org/10.1029/93JB02223,
1993. a
Dansereau, V., Démery, V., Berthier, E., Weiss, J., and Ponson, L.:
Collective Damage Growth Controls Fault Orientation in Quasibrittle
Compressive Failure, Phys. Rev. Lett., 122, 085501,
https://doi.org/10.1103/PhysRevLett.122.085501,
2019. a, b, c
Divine, D. V., Korsnes, R., and Makshtas, A. P.: Temporal and spatial
variation of shore-fast ice in the Kara Sea, Cont. Shelf Res., 24,
1717–1736, https://doi.org/10.1016/j.csr.2004.05.010,
2004. a, b
Dumont, D., Gratton, Y., and Arbetter, T. E.: Modeling Wind-Driven Circulation
and Landfast Ice-Edge Processes during Polynya Events in Northern Baffin
Bay, J. Phys. Oceanogr., 40, 1356–1372,
https://doi.org/10.1175/2010JPO4292.1, 2010. a
Hannah, C. G., Dupont, F., and Dunphy, M.: Polynyas and Tidal Currents in the
Canadian Arctic Archipelago, Arctic, 62, 83–95, https://doi.org/10.14430/arctic115,
2009. a
Hata, Y. and Tremblay, L. B.: A 1.5-D anisotropic sigma-coordinate thermal
stress model of landlocked sea ice in the Canadian Arctic Archipelago,
J. Geophys. Res.-Oceans, 120, 8251–8269,
https://doi.org/10.1002/2015JC010820, 2015a. a
Hata, Y. and Tremblay, L. B.: Anisotropic internal thermal stress in sea ice
from the Canadian Arctic Archipelago, J. Geophys. Res.-Oceans, 120, 5457–5472, https://doi.org/10.1002/2015JC010819,
2015b. a, b
Hibler, W. D., Hutchings, J., and Ip, C.: Sea-ice arching and multiple flow States
of Arctic pack ice, Ann. Glaciol., 44, 339–344,
https://doi.org/10.3189/172756406781811448, 2006. a
Ip, C. F.: Numerical investigation of different rheologies on sea-ice
dynamics, PhD thesis, 1, 242 pp., 1993. a
Kozo, T. L.: The hybrid polynya at the northern end of Nares Strait,
Geophys. Res. Lett., 18, 2059–2062, https://doi.org/10.1029/91GL02574,
1991. a
Kubat, I., Sayed, M., Savage, S., and Carrieres, T.: Flow of Ice Through
Converging Channels, Int. J. Offshore Polar, 16, 268–273, 2006. a
Kwok, R.: Variability of Nares Strait ice flux, Geophys. Res. Lett., 32, L24502, https://doi.org/10.1029/2005GL024768,
2005. a, b
Kwok, R. and Cunningham, G. F.: Contribution of melt in the Beaufort Sea to
the decline in Arctic multiyear sea ice coverage: 1993–2009, Geophys.
Res. Lett., 37, L20501, https://doi.org/10.1029/2010GL044678, 2010. a
Langleben, M.: Young's modulus for sea ice, Can. J. Phys., 40,
1–8, 1962. a
Lemieux, J.-F., Tremblay, B., Thomas, S., Sedláček, J., and Mysak,
L. A.: Using the preconditioned Generalized Minimum RESidual ( GMRES )
method to solve the sea-ice momentum equation, J. Geophys.
Res., 113, C10004, https://doi.org/10.1029/2007JC004680, 2008. a, b
Lemieux, J.-F., Knoll, D. A., Losch, M., and Girard, C.: A second-order
accurate in time IMplicit – EXplicit (IMEX) integration scheme for sea
ice dynamics, J. Comput. Phys., 263, 375–392,
https://doi.org/10.1016/j.jcp.2014.01.010, 2014. a, b
Lemieux, J.-F., Lei, J., Dupont, F., Roy, F., Losch, M., Lique, C., and
Laliberté, F.: The Impact of Tides on Simulated Landfast Ice in a
Pan-Arctic Ice-Ocean Model, J. Geophys. Res.-Oceans, 123,
1–16, https://doi.org/10.1029/2018JC014080, 2018. a
Lewis, J. K.: A model for thermally-induced stresses in multi-year sea ice,
Cold Reg. Sci. Technol., 21, 337–348, 1993. a
Losch, M., Menemenlis, D., Campin, J.-M., Heimbach, P., and Hill, C.: On the
formulation of sea-ice models. Part 1: Effects of different solver
implementations and parameterizations, Ocean Modell., 33, 129–144,
https://doi.org/10.1016/j.ocemod.2009.12.008,
2010. a
Mahoney, A., Eicken, H., Gaylord, A. G., and Shapiro, L.: Alaska landfast sea
ice: Links with bathymetry and atmospheric circulation, J.
Geophys. Res., 112, C02001, https://doi.org/10.1029/2006JC003559, 2007. a
Mahoney, A. R., Eicken, H., Gaylord, A. G., and Gens, R.: Landfast sea ice
extent in the Chukchi and Beaufort Seas: The annual cycle and decadal
variability, Cold Reg. Sci. Technol.,
https://doi.org/10.1016/j.coldregions.2014.03.003,
2014. a
Marko, J. R. and Thomson, R. E.: Rectilinear leads and internal motions in the
ice pack of the western Arctic Ocean, J. Geophys. Res.
(1896–1977), 82, 979–987, https://doi.org/10.1029/JC082i006p00979,
1977. a, b
McPhee, M. G.: The effect of the oceanic boundary layer on the mean drift of
pack ice: application of a simple model, J. Phys. Oceanogr.,
9, 388–400, 1979. a
Melling, H.: Sea ice of the northern Canadian Arctic Archipelago, J.
Geophys. Res., 107, 3181, https://doi.org/10.1029/2001JC001102, 2002. a, b, c
Moore, G. W. K. and McNeil, K.: The Early Collapse of the 2017 Lincoln Sea Ice
Arch in Response to Anomalous Sea Ice and Wind Forcing, Geophys. Res.
Lett., 45, 8343–8351, https://doi.org/10.1029/2018GL078428,
2018. a, b
Pritchard, R. S.: Mathematical characteristics of sea ice dynamics models,
J. Geophys. Res.-Oceans, 93, 15609–15618,
https://doi.org/10.1029/JC093iC12p15609,
1988. a
Rampal, P., Dansereau, V., Olason, E., Bouillon, S., Williams, T., Korosov, A., and Samaké, A.: On the multi-fractal scaling properties of sea ice deformation, The Cryosphere, 13, 2457–2474, https://doi.org/10.5194/tc-13-2457-2019, 2019. a, b
Rasmussen, T., Nicolai, K., and Kaas, E.: Modelling the sea ice in the Nares
Strait, Ocean Modell., 35, 161–172, https://doi.org/10.1016/j.ocemod.2010.07.003,
2010. a
Rice, J. R.: Solid Mechanics, Harvard University 2010, 2010. a
Richter-Menge, J. A., McNutt, S. L., Overland, J. E., and Kwok, R.: Relating
arctic pack ice stress and deformation under winter conditions, J.
Geophys. Res.-Oceans, 107, SHE15-1–SHE15-13,
https://doi.org/10.1029/2000JC000477,
2002. a
Ryan, P. A. and Münchow, A.: Sea ice draft observations in Nares Strait from
2003 to 2012, J. Geophys. Res.-Oceans, 122, 3057–3080,
https://doi.org/10.1002/2016JC011966,
2017. a, b
Schreyer, H. L., Sulsky, D. L., Munday, L. B., Coon, M. D., and Kwok, R.:
Elastic-decohesive constitutive model for sea ice, J. Geophys.
Res.-Oceans, 111, C11S26, https://doi.org/10.1029/2005JC003334, 2006. a, b, c
Schulkes, R. M. S. M.: A Note on the Evolution Equations for the Area Fraction
and the Thickness of a Floating Ice Cover, J. Geophys. Res., 100, 5021–5024, 1995. a
Schulson, E. M., Fortt, A. L., Iliescu, D., and Renshaw, C. E.: Failure
envelope of first-year Arctic sea ice: The role of friction in compressive
fracture, J. Geophys. Res.-Oceans, 111, C11S25,
https://doi.org/10.1029/2005JC003235, 2006. a, b
Selyuzhenok, V., Krumpen, T., Mahoney, A., Janout, M., and Gerdes, R.:
Seasonal and interannual variability of fast ice extent in the southeastern
Laptev Sea between 1999 and 2013, J. Geophys. Res.-Oceans,
120, 7791–7806, https://doi.org/10.1002/2015JC011135, 2015. a
Selyuzhenok, V., Mahoney, A., Krumpen, T., Castellani, G., and Gerdes, R.:
Mechanisms of fast-ice development in the south-eastern Laptev Sea: a case
study for winter of 2007/08 and 2009/10, Polar Res., 36, 1411140,
https://doi.org/10.1080/17518369.2017.1411140, 2017. a
Shroyer, E. L., Samelson, R. M., Padman, L., and Münchow, A.: Modeled ocean
circulation in Nares Strait and its dependence on landfast-ice cover, J. Geophys. Res.-Oceans, 120, 7934–7959, https://doi.org/10.1002/2015JC011091,
2015. a
Sulsky, D. and Peterson, K.: Toward a new elastic – decohesive model of
Arctic sea ice, Physica D, 240, 1674–1683,
https://doi.org/10.1016/j.physd.2011.07.005, 2011. a, b, c, d
Tang, C.: Numerical simulation of progressive rock failure and associated
seismicity, Int. J. Rock Mechan. Min. Sci., 34,
249–261, https://doi.org/10.1016/S0148-9062(96)00039-3,
1997. a
Timco, G. W. and Weeks, W. F.: A review of the engineering properties of sea
ice, Cold Reg. Sci. Technol., 60, 107–129,
https://doi.org/10.1016/j.coldregions.2009.10.003, 2010. a
Tran, H. D., Sulsky, D. L., and Schreyer, H. L.: An anisotropic
elastic-decohesive constitutive relation for sea ice, Int. J. Num. Analy. Methods Geomechan., 39, 988–1013,
https://doi.org/10.1002/nag.2354, 2015. a, b, c, d
Turnbull, I. D., Torbati, R. Z., and Taylor, R. S.: Relative influences of the
metocean forcings on the drifting ice pack and estimation of internal ice
stress gradients in the Labrador Sea, J. Geophys. Res.-Oceans, 122, 5970–5997, https://doi.org/10.1002/2017JC012805,
2017. a
Vincent, R. F.: A Study of the North Water Polynya Ice Arch using Four Decades
of Satellite Data, Sc. Rep., 9, 20278,
https://doi.org/10.1038/s41598-019-56780-6, 2019. a, b, c
Wang, K.: Observing the yield curve of compacted pack ice, J.
Geophys. Res.-Oceans, 112, C05015, https://doi.org/10.1029/2006JC003610,
2007. a
Wilchinsky, A. V. and Feltham, D. L.: A continuum anisotropic model of sea-ice
dynamics, P. Roy. Soc. London A, 460, 2105–2140,
https://doi.org/10.1098/rspa.2004.1282,
2004. a, b
Yu, Y., Stern, H., Fowler, C., Fetterer, F., and Maslanik, J.: Interannual
Variability of Arctic Landfast Ice between 1976 and 2007, J.
Climate, 27, 227–243, https://doi.org/10.1175/JCLI-D-13-00178.1, 2014. a
Zhang, J. and Hibler, W. D.: On an efficient numerical method for modeling sea
ice dynamics, J. Geophys. Res., 102, 8691–8702, 1997. a
Short summary
We study the formation of ice arches between two islands using a model that resolves crack initiation and propagation. This model uses a damage parameter to parameterize the presence or absence of cracks in the ice. We find that the damage parameter allows for cracks to propagate in the ice but in a different orientation than predicted by theory. The results call for improvement in how stress relaxation associated with this damage is parameterized.
We study the formation of ice arches between two islands using a model that resolves crack...
