92 citations as recorded by crossref.

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2. Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High‐Resolution Sea Ice Simulations N. Hutter et al. 10.1029/2021JC017666
3. A New Brittle Rheology and Numerical Framework for Large‐Scale Sea‐Ice Models E. Ólason et al. 10.1029/2021MS002685
4. The physics of freezing and melting in the presence of flows Y. Du et al. 10.1038/s42254-024-00766-5
5. Predictability of Arctic sea ice drift in coupled climate models S. Reifenberg & H. Goessling 10.5194/tc-16-2927-2022
6. Fast EVP Solutions in a High‐Resolution Sea Ice Model N. Koldunov et al. 10.1029/2018MS001485
7. Robust and efficient primal-dual Newton-Krylov solvers for viscous-plastic sea-ice models Y. Shih et al. 10.1016/j.jcp.2022.111802
8. Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. 10.1007/s10712-023-09781-0
9. Object-Based Detection of Linear Kinematic Features in Sea Ice S. Linow & W. Dierking 10.3390/rs9050493
10. Driving Mechanisms of an Extreme Winter Sea Ice Breakup Event in the Beaufort Sea J. Rheinlænder et al. 10.1029/2022GL099024
11. Implementation of a brittle sea ice rheology in an Eulerian, finite-difference, C-grid modeling framework: impact on the simulated deformation of sea ice in the Arctic L. Brodeau et al. 10.5194/gmd-17-6051-2024
12. Key scientific-research institutes of the Scandinavian countries and international projects conducting research and development of the Arctic A. Bilalova et al. 10.2205/2021NZ000372
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15. Towards a coupled model to investigate wave–sea ice interactions in the Arctic marginal ice zone G. Boutin et al. 10.5194/tc-14-709-2020
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18. Wave–ice interactions in the neXtSIM sea-ice model T. Williams et al. 10.5194/tc-11-2117-2017
19. Scaling Properties of Arctic Sea Ice Deformation in a High‐Resolution Viscous‐Plastic Sea Ice Model and in Satellite Observations N. Hutter et al. 10.1002/2017JC013119
20. Well-Posedness of Hibler’s Dynamical Sea-Ice Model X. Liu et al. 10.1007/s00332-022-09803-y
21. Ocean Modeling with Adaptive REsolution (OMARE; version 1.0) – refactoring the NEMO model (version 4.0.1) with the parallel computing framework of JASMIN – Part 1: Adaptive grid refinement in an idealized double-gyre case Y. Zhang et al. 10.5194/gmd-16-679-2023
22. Towards a swath-to-swath sea-ice drift product for the Copernicus Imaging Microwave Radiometer mission T. Lavergne et al. 10.5194/tc-15-3681-2021
23. Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology T. Finn et al. 10.5194/tc-17-2965-2023
24. 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
25. Characteristics of a Convective-Scale Weather Forecasting System for the European Arctic M. Müller et al. 10.1175/MWR-D-17-0194.1
26. Application of Discrete Element Methods to Approximate Sea Ice Dynamics A. Damsgaard et al. 10.1029/2018MS001299
27. Sea-ice information and forecast needs for industry maritime stakeholders P. Wagner et al. 10.1080/1088937X.2020.1766592
28. Arctic sea ice mass balance in a new coupled ice–ocean model using a brittle rheology framework G. Boutin et al. 10.5194/tc-17-617-2023
29. Simulating Sea‐Ice Deformation in Viscous‐Plastic Sea‐Ice Models With CD‐Grids C. Mehlmann et al. 10.1029/2023MS003696
30. An Evaluation of the Performance of Sea Ice Thickness Forecasts to Support Arctic Marine Transport T. Bilge et al. 10.3390/jmse10020265
31. Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
32. Wave-driven mesoscale currents in a marginal ice zone H. Dai et al. 10.1016/j.ocemod.2018.11.006
33. Quantitative assessment of two oil-in-ice surface drift algorithms V. de Aguiar et al. 10.1016/j.marpolbul.2022.113393
34. Arctic sea-ice diffusion from observed and simulated Lagrangian trajectories P. Rampal et al. 10.5194/tc-10-1513-2016
35. Atmospheric Response to Kilometer‐Scale Changes in Sea Ice Concentration Within the Marginal Ice Zone Y. Batrak & M. Müller 10.1029/2018GL078295
36. Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion S. Cheng et al. 10.3390/oceans1040022
37. A generalized stress correction scheme for the Maxwell elasto-brittle rheology: impact on the fracture angles and deformations M. Plante & L. Tremblay 10.5194/tc-15-5623-2021
38. Towards improving short-term sea ice predictability using deformation observations A. Korosov et al. 10.5194/tc-17-4223-2023
39. Data assimilation using adaptive, non-conservative, moving mesh models A. Aydoğdu et al. 10.5194/npg-26-175-2019
40. Simulating intersection angles between conjugate faults in sea ice with different viscous–plastic rheologies D. Ringeisen et al. 10.5194/tc-13-1167-2019
41. Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology Y. Chen et al. 10.5194/tc-18-2381-2024
42. Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013 J. Xie et al. 10.5194/os-13-123-2017
43. Challenges and Prospects in Ocean Circulation Models B. Fox-Kemper et al. 10.3389/fmars.2019.00065
44. Wave–sea-ice interactions in a brittle rheological framework G. Boutin et al. 10.5194/tc-15-431-2021
45. 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
46. A Quantile-Conserving Ensemble Filter Based on Kernel-Density Estimation I. Grooms & C. Riedel 10.3390/rs16132377
47. Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. 10.1002/wcc.535
48. On the sensitivity of sea ice deformation statistics to plastic damage A. Savard & B. Tremblay 10.5194/tc-18-2017-2024
49. Calibration of a hybrid sea ice model during an expedition to the Arctic C. Mehlmann & T. Richter 10.1002/pamm.202400117
50. Toward Optimization of Rheology in Sea Ice Models through Data Assimilation J. Stroh et al. 10.1175/JTECH-D-18-0239.1
51. Comparing Observations and Parameterizations of Ice‐Ocean Drag Through an Annual Cycle Across the Beaufort Sea S. Brenner et al. 10.1029/2020JC016977
52. Når sjøis sprekker E. Ólason & H. Wilborn 10.18261/issn.1504-3118-2021-02-03-06
53. A comparison of an operational wave–ice model product and drifting wave buoy observation in the central Arctic Ocean: investigating the effect of sea-ice forcing in thin ice cover T. Nose et al. 10.33265/polar.v42.8874
54. Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F T. Williams et al. 10.5194/tc-15-3207-2021
55. Landfast sea ice material properties derived from ice bridge simulations using the Maxwell elasto-brittle rheology M. Plante et al. 10.5194/tc-14-2137-2020
56. Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea‐Ice Deformation Fields A. Bouchat et al. 10.1029/2021JC017667
57. Sensitivity study of the wave-driven current in an Arctic frazil-pancake ice zone X. Zhang et al. 10.1007/s13131-020-1560-x
58. An efficient and statistically accurate Lagrangian data assimilation algorithm with applications to discrete element sea ice models N. Chen et al. 10.1016/j.jcp.2022.111000
59. Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic C. Durand et al. 10.5194/tc-18-1791-2024
60. Climate Models as Guidance for the Design of Observing Systems: the Case of Polar Climate and Sea Ice Prediction F. Massonnet 10.1007/s40641-019-00151-w
61. Using Icepack to reproduce ice mass balance buoy observations in landfast ice: improvements from the mushy-layer thermodynamics M. Plante et al. 10.5194/tc-18-1685-2024
62. A Combination of Feature Tracking and Pattern Matching with Optimal Parametrization for Sea Ice Drift Retrieval from SAR Data A. Korosov & P. Rampal 10.3390/rs9030258
63. Ice bridges and ridges in the Maxwell-EB sea ice rheology V. Dansereau et al. 10.5194/tc-11-2033-2017
64. Evaluation of Oil Spill Modeling in Ice Against In Situ Drifter Data from the Beaufort Sea D. French-McCay et al. 10.7901/2169-3358-2017.1.1523
65. Parallel implementation of a Lagrangian-based model on an adaptive mesh in C++: Application to sea-ice A. Samaké et al. 10.1016/j.jcp.2017.08.055
66. Calculation of the destruction of ice structures by the grid-characteristic method on structured grids A. Favorskaya & I. Petrov 10.1016/j.procs.2021.09.151
67. Implementation of Newton's method with an analytical Jacobian to solve the 1D sea ice momentum equation J. Auclair et al. 10.1016/j.jcp.2017.02.065
68. Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations N. Hutter & M. Losch 10.5194/tc-14-93-2020
69. On the Jacobian approximation in sea ice models with viscous-plastic rheology M. Yaremchuk & G. Panteleev 10.1016/j.ocemod.2022.102078
70. Modelling the evolution of Arctic multiyear sea ice over 2000–2018 H. Regan et al. 10.5194/tc-17-1873-2023
71. Evaluating landfast sea ice stress and fracture in support of operations on sea ice using SAR interferometry D. Dammann et al. 10.1016/j.coldregions.2018.02.001
72. Estimating instantaneous sea-ice dynamics from space using the bi-static radar measurements of Earth Explorer 10 candidate Harmony M. Kleinherenbrink et al. 10.5194/tc-15-3101-2021
73. Non-normal flow rules affect fracture angles in sea ice viscous–plastic rheologies D. Ringeisen et al. 10.5194/tc-15-2873-2021
74. Bonded Discrete Element Simulations of Sea Ice With Non‐Local Failure: Applications to Nares Strait B. West et al. 10.1029/2021MS002614
75. Feasibility Study on Estimation of Sea Ice Drift from KOMPSAT-5 and COSMO-SkyMed SAR Images J. Park et al. 10.3390/rs13204038
76. Geometric remapping of particle distributions in the Discrete Element Model for Sea Ice (DEMSI v0.0) A. Turner et al. 10.5194/gmd-15-1953-2022
77. Lagrangian Data Assimilation and Parameter Estimation of an Idealized Sea Ice Discrete Element Model N. Chen et al. 10.1029/2021MS002513
78. 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. 10.1017/aog.2024.26
79. Database of daily Lagrangian Arctic sea ice parcel drift tracks with coincident ice and atmospheric conditions S. Horvath et al. 10.1038/s41597-023-01987-6
80. Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019–2020 S. Cheng et al. 10.5194/tc-17-1735-2023
81. On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic E. Ólason et al. 10.5194/tc-15-1053-2021
82. On the multi-fractal scaling properties of sea ice deformation P. Rampal et al. 10.5194/tc-13-2457-2019
83. Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis J. Xie et al. 10.5194/tc-12-3671-2018
84. Modeling the contribution of leads to sea spray aerosol in the high Arctic R. Lapere et al. 10.5194/acp-24-12107-2024
85. State-of-the-Art Oil Spill Trajectory Prediction in Ice Infested Waters: A Journey from High Resolution Arctic-Wide Satellite Data to Advanced Oil Spill Trajectory Modeling-What You Need to Know C. Beegle-Krause et al. 10.7901/2169-3358-2017.1.1507
86. A goal oriented error estimator and mesh adaptivity for sea ice simulations C. Mehlmann & T. Richter 10.1016/j.ocemod.2020.101684
87. 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
88. Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic M. Rabatel et al. 10.5194/tc-12-935-2018
89. Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm N. Hutter et al. 10.5194/tc-13-627-2019
90. Validation of remote-sensing products of sea-ice motion: a case study in the western Arctic Ocean D. Gui et al. 10.1017/jog.2020.49
91. Linking scales in sea ice mechanics J. Weiss & V. Dansereau 10.1098/rsta.2015.0352
92. Error assessment of satellite-derived lead fraction in the Arctic N. Ivanova et al. 10.5194/tc-10-585-2016