Articles | Volume 14, issue 1
https://doi.org/10.5194/tc-14-93-2020
© 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-14-93-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Jan 2020
Research article |
| 16 Jan 2020
| 16 Jan 2020
Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Martin Losch
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
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Cited
33 citations as recorded by crossref.
- Particle-Continuum Multiscale Modeling of Sea Ice Floes Q. Deng et al. https://doi.org/10.1137/23M155904X
- Comparing heterogeneity of sea-ice models with viscous-plastic and Maxwell elasto-brittle rheology M. Bourgett et al. https://doi.org/10.1017/aog.2024.40
- Should Sea-Ice Modeling Tools Designed for Climate Research Be Used for Short-Term Forecasting? E. Hunke et al. https://doi.org/10.1007/s40641-020-00162-y
- Non-normal flow rules affect fracture angles in sea ice viscous–plastic rheologies D. Ringeisen et al. https://doi.org/10.5194/tc-15-2873-2021
- Simulating Sea‐Ice Deformation in Viscous‐Plastic Sea‐Ice Models With CD‐Grids C. Mehlmann et al. https://doi.org/10.1029/2023MS003696
- Co-located OLCI optical imagery and SAR altimetry from Sentinel-3 for enhanced Arctic spring sea ice surface classification W. Chen et al. https://doi.org/10.3389/frsen.2024.1401653
- High-resolution regional sea-ice model based on the discrete element method with boundary conditions from a large-scale model for ice drift A. Tsarau et al. https://doi.org/10.1017/aog.2024.26
- Arctic Sea ice leads detected using sentinel-1B SAR image and their responses to atmosphere circulation and sea ice dynamics M. Qu et al. https://doi.org/10.1016/j.rse.2024.114193
- Advancements in sea ice dynamics modeling based on a mixed least‐squares finite element study with nonconforming stress approximation S. Hellebrand et al. https://doi.org/10.1002/pamm.202400099
- Resolving and Parameterising the Ocean Mesoscale in Earth System Models H. Hewitt et al. https://doi.org/10.1007/s40641-020-00164-w
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- SubZero: A Sea Ice Model With an Explicit Representation of the Floe Life Cycle G. Manucharyan & B. Montemuro https://doi.org/10.1029/2022MS003247
- A New Brittle Rheology and Numerical Framework for Large‐Scale Sea‐Ice Models E. Ólason et al. https://doi.org/10.1029/2021MS002685
- Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea‐Ice Deformation Fields A. Bouchat et al. https://doi.org/10.1029/2021JC017667
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- Lasting impact of winds on Arctic sea ice through the ocean's memory Q. Wang et al. https://doi.org/10.5194/tc-15-4703-2021
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- The detection of Arctic sea ice linear kinematic features using LadderNet J. Chen et al. https://doi.org/10.1016/j.ocemod.2024.102400
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33 citations as recorded by crossref.
- Particle-Continuum Multiscale Modeling of Sea Ice Floes Q. Deng et al. https://doi.org/10.1137/23M155904X
- Comparing heterogeneity of sea-ice models with viscous-plastic and Maxwell elasto-brittle rheology M. Bourgett et al. https://doi.org/10.1017/aog.2024.40
- Should Sea-Ice Modeling Tools Designed for Climate Research Be Used for Short-Term Forecasting? E. Hunke et al. https://doi.org/10.1007/s40641-020-00162-y
- Non-normal flow rules affect fracture angles in sea ice viscous–plastic rheologies D. Ringeisen et al. https://doi.org/10.5194/tc-15-2873-2021
- Simulating Sea‐Ice Deformation in Viscous‐Plastic Sea‐Ice Models With CD‐Grids C. Mehlmann et al. https://doi.org/10.1029/2023MS003696
- Co-located OLCI optical imagery and SAR altimetry from Sentinel-3 for enhanced Arctic spring sea ice surface classification W. Chen et al. https://doi.org/10.3389/frsen.2024.1401653
- High-resolution regional sea-ice model based on the discrete element method with boundary conditions from a large-scale model for ice drift A. Tsarau et al. https://doi.org/10.1017/aog.2024.26
- Arctic Sea ice leads detected using sentinel-1B SAR image and their responses to atmosphere circulation and sea ice dynamics M. Qu et al. https://doi.org/10.1016/j.rse.2024.114193
- Advancements in sea ice dynamics modeling based on a mixed least‐squares finite element study with nonconforming stress approximation S. Hellebrand et al. https://doi.org/10.1002/pamm.202400099
- Resolving and Parameterising the Ocean Mesoscale in Earth System Models H. Hewitt et al. https://doi.org/10.1007/s40641-020-00164-w
- Comparison of sea ice kinematics at different resolutions modeled with a grid hierarchy in the Community Earth System Model (version 1.2.1) S. Xu et al. https://doi.org/10.5194/gmd-14-603-2021
- Sea ice concentration estimates from ICESat-2 linear ice fraction – Part 1: Multi-sensor comparison of sea ice concentration products E. Buckley et al. https://doi.org/10.5194/tc-19-4805-2025
- Comparing Arctic Sea Ice Model Simulations to Satellite Observations by Multiscale Directional Analysis of Linear Kinematic Features M. Mohammadi-Aragh et al. https://doi.org/10.1175/MWR-D-19-0359.1
- SubZero: A Sea Ice Model With an Explicit Representation of the Floe Life Cycle G. Manucharyan & B. Montemuro https://doi.org/10.1029/2022MS003247
- A New Brittle Rheology and Numerical Framework for Large‐Scale Sea‐Ice Models E. Ólason et al. https://doi.org/10.1029/2021MS002685
- Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea‐Ice Deformation Fields A. Bouchat et al. https://doi.org/10.1029/2021JC017667
- Lake ice simulation using a 3D unstructured grid model Y. Zhang et al. https://doi.org/10.1007/s10236-023-01549-9
- MPAS-Seaice (v1.0.0): sea-ice dynamics on unstructured Voronoi meshes A. Turner et al. https://doi.org/10.5194/gmd-15-3721-2022
- Simulating Linear Kinematic Features in Viscous‐Plastic Sea Ice Models on Quadrilateral and Triangular Grids With Different Variable Staggering C. Mehlmann et al. https://doi.org/10.1029/2021MS002523
- Breaks in the Arctic ice cover: from observations to predictions A. Ershova et al. https://doi.org/10.31857/S2076673424010086
- Lagrangian tracking of sea ice in Community Ice CodE (CICE; version 5) C. Ning et al. https://doi.org/10.5194/gmd-17-6847-2024
- Tuning parameters of a sea ice model using machine learning A. Korosov et al. https://doi.org/10.5194/gmd-18-885-2025
- Deformation lines in Arctic sea ice: intersection angle distribution and mechanical properties D. Ringeisen et al. https://doi.org/10.5194/tc-17-4047-2023
- High-resolution Arctic sea ice lead variations during wintertime (2016–2023) from SAR observations S. Chen et al. https://doi.org/10.1016/j.accre.2025.08.006
- Lasting impact of winds on Arctic sea ice through the ocean's memory Q. Wang et al. https://doi.org/10.5194/tc-15-4703-2021
- Impact of non-normal flow rule on linear kinematic features in pan-Arctic ice-ocean simulations J. Lemieux et al. https://doi.org/10.5194/tc-19-5639-2025
- Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High‐Resolution Sea Ice Simulations N. Hutter et al. https://doi.org/10.1029/2021JC017666
- A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) M. Plante et al. https://doi.org/10.5194/essd-17-423-2025
- Robust and efficient primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models Y. Shih et al. https://doi.org/10.1016/j.jcp.2022.111802
- The detection of Arctic sea ice linear kinematic features using LadderNet J. Chen et al. https://doi.org/10.1016/j.ocemod.2024.102400
- Lead fractions from SAR-derived sea ice divergence during MOSAiC L. von Albedyll et al. https://doi.org/10.5194/tc-18-1259-2024
- Bonded Discrete Element Simulations of Sea Ice With Non‐Local Failure: Applications to Nares Strait B. West et al. https://doi.org/10.1029/2021MS002614
- Seasonal changes in sea ice kinematics and deformation in the Pacific sector of the Arctic Ocean in 2018/19 R. Lei et al. https://doi.org/10.5194/tc-15-1321-2021
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
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.
Sea ice is composed of a multitude of floes that constantly deform due to wind and ocean...
