Articles | Volume 13, issue 2
https://doi.org/10.5194/tc-13-627-2019
© Author(s) 2019. 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-13-627-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Feb 2019
Research article |
| 20 Feb 2019
| 20 Feb 2019
Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm
Alfred-Wegener-Institut, Helmholtz Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Lorenzo Zampieri
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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33 citations as recorded by crossref.
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- Assessing the representation of Arctic sea ice and the marginal ice zone in ocean–sea ice reanalyses F. Cocetta et al. 10.5194/tc-18-4687-2024
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- On discretizing sea-ice dynamics on triangular meshes using vertex, cell or edge velocities S. Danilov et al. 10.1016/j.ocemod.2021.101937
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33 citations as recorded by crossref.
- The detection of Arctic sea ice linear kinematic features using LadderNet J. Chen et al. 10.1016/j.ocemod.2024.102400
- Simulating Sea‐Ice Deformation in Viscous‐Plastic Sea‐Ice Models With CD‐Grids C. Mehlmann et al. 10.1029/2023MS003696
- A multi-trophic marker approach reveals high feeding plasticity in Barents Sea under-ice fauna D. Kohlbach et al. 10.1016/j.pocean.2022.102895
- Teardrop and Parabolic Lens Yield Curves for Viscous‐Plastic Sea Ice Models: New Constitutive Equations and Failure Angles D. Ringeisen et al. 10.1029/2023MS003613
- Fast EVP Solutions in a High‐Resolution Sea Ice Model N. Koldunov et al. 10.1029/2018MS001485
- Should Sea-Ice Modeling Tools Designed for Climate Research Be Used for Short-Term Forecasting? E. Hunke et al. 10.1007/s40641-020-00162-y
- A Framework for Fine-Resolution and Spatially Continuous Arctic Sea Ice Drift Retrieval Using Multisensor Data X. Wang et al. 10.1109/TGRS.2024.3394882
- Lead fractions from SAR-derived sea ice divergence during MOSAiC L. von Albedyll et al. 10.5194/tc-18-1259-2024
- Arctic Sea ice leads detected using sentinel-1B SAR image and their responses to atmosphere circulation and sea ice dynamics M. Qu et al. 10.1016/j.rse.2024.114193
- Breaks in the Arctic ice cover: from observations to predictions A. Ershova et al. 10.31857/S2076673424010086
- Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High‐Resolution Sea Ice Simulations N. Hutter et al. 10.1029/2021JC017666
- Simulating Linear Kinematic Features in Viscous‐Plastic Sea Ice Models on Quadrilateral and Triangular Grids With Different Variable Staggering C. Mehlmann et al. 10.1029/2021MS002523
- A dynamical core based on a discontinuous Galerkin method for higher-order finite-element sea ice modeling T. Richter et al. 10.5194/gmd-16-3907-2023
- Assessing the representation of Arctic sea ice and the marginal ice zone in ocean–sea ice reanalyses F. Cocetta et al. 10.5194/tc-18-4687-2024
- Driving Mechanisms of an Extreme Winter Sea Ice Breakup Event in the Beaufort Sea J. Rheinlænder et al. 10.1029/2022GL099024
- Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea‐Ice Deformation Fields A. Bouchat et al. 10.1029/2021JC017667
- Observationally constrained estimates of the annual Arctic sea-ice volume budget 2010–2022 H. Heorton et al. 10.1017/aog.2025.3
- Comparing Arctic Sea Ice Model Simulations to Satellite Observations by Multiscale Directional Analysis of Linear Kinematic Features M. Mohammadi-Aragh et al. 10.1175/MWR-D-19-0359.1
- On the multi-fractal scaling properties of sea ice deformation P. Rampal et al. 10.5194/tc-13-2457-2019
- Phase-field models of floe fracture in sea ice H. Dinh et al. 10.5194/tc-17-3883-2023
- Lasting impact of winds on Arctic sea ice through the ocean's memory Q. Wang et al. 10.5194/tc-15-4703-2021
- Responses of the Arctic sea ice drift to general warming and intraseasonal oscillation in the local atmosphere M. Li et al. 10.1007/s00382-024-07395-9
- Impact of Sea‐Ice Model Complexity on the Performance of an Unstructured‐Mesh Sea‐Ice/Ocean Model under Different Atmospheric Forcings L. Zampieri et al. 10.1029/2020MS002438
- Deformation lines in Arctic sea ice: intersection angle distribution and mechanical properties D. Ringeisen et al. 10.5194/tc-17-4047-2023
- Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations N. Hutter & M. Losch 10.5194/tc-14-93-2020
- Reassessing the Quality of Sea‐Ice Deformation Estimates Derived From the RADARSAT Geophysical Processor System and Its Impact on the Spatiotemporal Scaling Statistics A. Bouchat & B. Tremblay 10.1029/2019JC015944
- On discretizing sea-ice dynamics on triangular meshes using vertex, cell or edge velocities S. Danilov et al. 10.1016/j.ocemod.2021.101937
- Towards improving short-term sea ice predictability using deformation observations A. Korosov et al. 10.5194/tc-17-4223-2023
- Non-normal flow rules affect fracture angles in sea ice viscous–plastic rheologies D. Ringeisen et al. 10.5194/tc-15-2873-2021
- Automating the Acoustic Detection and Characterization of Sea Ice and Surface Waves S. Sandy et al. 10.3390/jmse10111577
- Tuning parameters of a sea ice model using machine learning A. Korosov et al. 10.5194/gmd-18-885-2025
- Simulating intersection angles between conjugate faults in sea ice with different viscous–plastic rheologies D. Ringeisen et al. 10.5194/tc-13-1167-2019
- CD-type discretization for sea ice dynamics in FESOM version 2 S. Danilov et al. 10.5194/gmd-17-2287-2024
Latest update: 22 Apr 2025
Short summary
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.
Arctic sea ice is an aggregate of ice floes with various sizes. The different sizes result from...
