54 citations as recorded by crossref.

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22. Arctic Climate Changes Based on Historical Simulations (1900‒2013) with the CAMS-CSM T. Wei et al. 10.1007/s13351-018-7188-5
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25. Effects of Increasing the Category Resolution of the Sea Ice Thickness Distribution in a Coupled Climate Model on Arctic and Antarctic Sea Ice Mean State M. Smith et al. 10.1029/2022JC019044
26. A Balanced Atmospheric Ensemble Forcing for Sea Ice Modeling in Southern Ocean H. Luo et al. 10.1029/2022GL101139
27. On the discretization of the ice thickness distribution in the NEMO3.6-LIM3 global ocean–sea ice model F. Massonnet et al. 10.5194/gmd-12-3745-2019
28. Snow Depth Retrieval on Arctic Sea Ice From Passive Microwave Radiometers—Improvements and Extensions to Multiyear Ice Using Lower Frequencies P. Rostosky et al. 10.1029/2018JC014028
29. 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
30. The sensitivity of landfast sea ice to atmospheric forcing in single-column model simulations: a case study at Zhongshan Station, Antarctica F. Gu et al. 10.5194/tc-16-1873-2022
31. A high-resolution ocean and sea-ice modelling system for the Arctic and North Atlantic oceans F. Dupont et al. 10.5194/gmd-8-1577-2015
32. Impact of atmospheric forcing uncertainties on Arctic and Antarctic sea ice simulations in CMIP6 OMIP models X. Lin et al. 10.5194/tc-17-1935-2023
33. Better synoptic and subseasonal sea ice thickness predictions are urgently required: a lesson learned from the YOPP data validation Q. Yang et al. 10.1088/1748-9326/acdcaa
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37. An Improved A* Algorithm Based on Hesitant Fuzzy Set Theory for Multi-Criteria Arctic Route Planning Y. Wang et al. 10.3390/sym10120765
38. Examining Antarctic sea ice bias sensitivity in the multi-variate parameter space using a global coupled climate modelling system S. Schroeter & P. Sandery 10.1016/j.ocemod.2023.102313
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40. Better constraints on the sea-ice state using global sea-ice data assimilation P. Mathiot et al. 10.5194/gmd-5-1501-2012
41. Simultaneous Parameter Optimization of an Arctic Sea Ice–Ocean Model by a Genetic Algorithm H. Sumata et al. 10.1175/MWR-D-18-0360.1
42. Arctic sea ice sensitivity to lateral melting representation in a coupled climate model M. Smith et al. 10.5194/tc-16-419-2022
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44. Advancements in decadal climate predictability: The role of nonoceanic drivers A. Bellucci et al. 10.1002/2014RG000473
45. Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean Y. Nie et al. 10.5194/gmd-16-1395-2023
46. NEMO-Bohai 1.0: a high-resolution ocean and sea ice modelling system for the Bohai Sea, China Y. Yan et al. 10.5194/gmd-15-1269-2022
47. Covariance of Optimal Parameters of an Arctic Sea Ice–Ocean Model H. Sumata et al. 10.1175/MWR-D-18-0375.1
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50. A model to interpret driftwood transport in the Arctic Q. Dalaiden et al. 10.1016/j.quascirev.2018.05.004
51. The effects of assimilating a sub-grid-scale sea ice thickness distribution in a new Arctic sea ice data assimilation system N. Williams et al. 10.5194/tc-17-2509-2023
52. Modeling the interplay between sea ice formation and the oceanic mixed layer: Limitations of simple brine rejection parameterizations A. Barthélemy et al. 10.1016/j.ocemod.2014.12.009
53. Is realistic Antarctic sea-ice extent in climate models the result of excessive ice drift? P. Uotila et al. 10.1016/j.ocemod.2014.04.004
54. Non‐annular response of sea ice cover in the Indian sector of the Antarctic during extreme SAM events P. Deb et al. 10.1002/joc.4730