197 citations as recorded by crossref.

1. Suitability of the CICE sea ice model for seasonal prediction and positive impact of CryoSat-2 ice thickness initialization S. Sun & A. Solomon 10.5194/tc-18-3033-2024
2. Winter Coastal Divergence as a Predictor for the Minimum Sea Ice Extent in the Laptev Sea C. Brunette et al. 10.1175/JCLI-D-18-0169.1
3. 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
4. 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
5. Multidecadal decline in sea ice meltwater volume and Pacific Winter Water salinity in the Bering Sea revealed by ocean observations V. Mensah et al. 10.1016/j.pocean.2024.103377
6. An Improved Estimate of the Coupled Arctic Energy Budget M. Mayer et al. 10.1175/JCLI-D-19-0233.1
7. A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season J. Stroeve et al. 10.3389/fmars.2020.592337
8. Updated Arctic melt pond fraction dataset and trends 2002–2023 using ENVISAT and Sentinel-3 remote sensing data L. Istomina et al. 10.5194/tc-19-83-2025
9. Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F T. Williams et al. 10.5194/tc-15-3207-2021
10. An improved algorithm for retrieving thin sea ice thickness in the Arctic Ocean from SMOS and SMAP L-band radiometer data L. He et al. 10.1007/s13131-023-2280-9
11. Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative S. Paul et al. 10.5194/tc-12-2437-2018
12. Warm Atlantic Water Explains Observed Sea Ice Melt Rates North of Svalbard P. Duarte et al. 10.1029/2019JC015662
13. Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) E. Fiedler et al. 10.5194/tc-16-61-2022
14. The 2018 North Greenland polynya observed by a newly introduced merged optical and passive microwave sea-ice concentration dataset V. Ludwig et al. 10.5194/tc-13-2051-2019
15. Effects of Wave-Induced Sea Ice Break-Up and Mixing in a High-Resolution Coupled Ice-Ocean Model J. Li et al. 10.3390/jmse9040365
16. Knowledge Gaps and Impact of Future Satellite Missions to Facilitate Monitoring of Changes in the Arctic Ocean S. Lucas et al. 10.3390/rs15112852
17. Evaluation and Application of SMRT Model for L-Band Brightness Temperature Simulation in Arctic Sea Ice Y. Fan et al. 10.3390/rs15153889
18. Accelerated sea ice loss in the Wandel Sea points to a change in the Arctic’s Last Ice Area A. Schweiger et al. 10.1038/s43247-021-00197-5
19. First results of the ARIEL L-band radiometer on the MOSAiC Arctic Expedition during the late summer and autumn period C. Gabarró et al. 10.1525/elementa.2022.00031
20. Novel methods to study sea ice deformation, linear kinematic features and coherent dynamic clusters from imaging remote sensing data P. Itkin 10.5194/tc-19-1135-2025
21. Winter Arctic sea ice thickness from ICESat-2: upgrades to freeboard and snow loading estimates and an assessment of the first three winters of data collection A. Petty et al. 10.5194/tc-17-127-2023
22. Improvement of sea ice thermodynamics with variable sea ice salinity and melt pond parameterizations in an OGCM T. Toyoda et al. 10.1016/j.ocemod.2023.102288
23. Estimation of summer pan-Arctic ice draft from satellite passive microwave observations J. Kim et al. 10.1016/j.rse.2023.113662
24. Local analytical optimal nudging for assimilating AMSR2 sea ice concentration in a high-resolution pan-Arctic coupled ocean (HYCOM 2.2.98) and sea ice (CICE 5.1.2) model K. Wang et al. 10.5194/tc-17-4487-2023
25. Ensemble-based estimation of sea-ice volume variations in the Baffin Bay C. Min et al. 10.5194/tc-15-169-2021
26. Scalable interpolation of satellite altimetry data with probabilistic machine learning W. Gregory et al. 10.1038/s41467-024-51900-x
27. A data-driven Bayesian network methodology for predicting future incident risk in Arctic maritime-based cargo transit W. Li et al. 10.1016/j.oceaneng.2025.120299
28. Integrated retrieval of sea-ice salinity, density, and thickness using polarimetric GNSS-R J. Munoz-Martin et al. 10.1016/j.rse.2025.114617
29. A Spatiotemporal Comparison and Assessment of Multisource Satellite Derived Sea Ice Thickness in the Arctic Thinner Ice Region Y. Zhang et al. 10.1109/JSTARS.2024.3390618
30. Selection of the Key Earth Observation Sensors and Platforms Focusing on Applications for Polar Regions in the Scope of Copernicus System 2020–2030 E. Lancheros et al. 10.3390/rs11020175
31. Feasibility of the Northern Sea Route: Impact of Sea Ice Thickness Uncertainty on Navigation T. Li et al. 10.3390/jmse12071078
32. GBDT Method Integrating Feature-Enhancement and Active-Learning Strategies—Sea Ice Thickness Inversion in Beaufort Sea Y. Han et al. 10.3390/s24092836
33. Relationship of physical and mechanical properties of sea ice during the freeze-up season in Nansen Basin V. Hornnes et al. 10.1016/j.coldregions.2024.104353
34. The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 2: Development and evaluation C. Burgard et al. 10.5194/tc-14-2387-2020
35. Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice S. Gerland et al. 10.1088/1748-9326/ab09b3
36. Arctic‐Wide Sea Ice Thickness Estimates From Combining Satellite Remote Sensing Data and a Dynamic Ice‐Ocean Model with Data Assimilation During the CryoSat‐2 Period L. Mu et al. 10.1029/2018JC014316
37. A New Brittle Rheology and Numerical Framework for Large‐Scale Sea‐Ice Models E. Ólason et al. 10.1029/2021MS002685
38. Calibration of sea ice drift forecasts using random forest algorithms C. Palerme & M. Müller 10.5194/tc-15-3989-2021
39. Drivers of Interannual Sea Ice Concentration Variability in the Atlantic Water Inflow Region North of Svalbard Ø. Lundesgaard et al. 10.1029/2020JC016522
40. Exploring non-Gaussian sea ice characteristics via observing system simulation experiments C. Riedel & J. Anderson 10.5194/tc-18-2875-2024
41. Multiscale mushy layer model for Arctic marginal ice zone dynamics C. Strong et al. 10.1038/s41598-024-70868-8
42. An Evaluation of the Performance of Sea Ice Thickness Forecasts to Support Arctic Marine Transport T. Bilge et al. 10.3390/jmse10020265
43. New insight from CryoSat-2 sea ice thickness for sea ice modelling D. Schröder et al. 10.5194/tc-13-125-2019
44. A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval J. Anheuser et al. 10.5194/tc-16-4403-2022
45. Assessment of contemporary satellite sea ice thickness products for Arctic sea ice H. Sallila et al. 10.5194/tc-13-1187-2019
46. Modelling the Arctic wave-affected marginal ice zone: a comparison with ICESat-2 observations G. Boutin et al. 10.1098/rsta.2021.0262
47. Retrieving Sea Level and Freeboard in the Arctic: A Review of Current Radar Altimetry Methodologies and Future Perspectives G. Quartly et al. 10.3390/rs11070881
48. Effect of compressive strength on the performance of the NEMO-LIM model in Arctic Sea ice simulation C. Dong et al. 10.1007/s00343-022-1241-z
49. Machine learning for the physics of climate A. Bracco et al. 10.1038/s42254-024-00776-3
50. Sea Ice Targeted Geoengineering Can Delay Arctic Sea Ice Decline but not Global Warming L. Zampieri & H. Goessling 10.1029/2019EF001230
51. Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
52. Copernicus Marine Service Ocean State Report, Issue 3 K. von Schuckmann et al. 10.1080/1755876X.2019.1633075
53. Sea ice and socio-economic impacts from extreme events in Nome, Alaska N. Kettle et al. 10.1017/S0032247424000275
54. Mapping vessel traffic patterns in the ice-covered waters of the Pacific Arctic K. Kapsar et al. 10.1007/s10584-023-03568-3
55. Effect of Snow Salinity on CryoSat‐2 Arctic First‐Year Sea Ice Freeboard Measurements V. Nandan et al. 10.1002/2017GL074506
56. On the retrieval of sea-ice thickness using SMOS polarization differences M. GUPTA et al. 10.1017/jog.2019.26
57. Stand-Alone Retrieval of Sea Ice Thickness From FY-3E GNOS-R Data Y. Xie & Q. Yan 10.1109/LGRS.2024.3352831
58. Modeled variations in the inherent optical properties of summer Arctic ice and their effects on the radiation budget: a case based on ice cores from 2008 to 2016 M. Yu et al. 10.5194/tc-18-273-2024
59. A Bayesian approach towards daily pan-Arctic sea ice freeboard estimates from combined CryoSat-2 and Sentinel-3 satellite observations W. Gregory et al. 10.5194/tc-15-2857-2021
60. Sensitivity of Radar Altimeter Waveform to Changes in Sea Ice Type at Resolution of Synthetic Aperture Radar W. Aldenhoff et al. 10.3390/rs11222602
61. Sea ice volume variability and water temperature in the Greenland Sea V. Selyuzhenok et al. 10.5194/tc-14-477-2020
62. Evaluation of Arctic Sea Ice Thickness from a Parameter-Optimized Arctic Sea Ice–Ocean Model Q. Zhang et al. 10.3390/rs15102537
63. Forecasting Arctic sea-ice drift: insights from two case studies I. Välisuo & S. Tietsche 10.1017/aog.2024.48
64. Navigability of the Northern Sea Route for Arc7 ice-class vessels during winter and spring sea-ice conditions S. CHEN et al. 10.1016/j.accre.2022.09.005
65. Assessing the current and future Arctic Ocean observing system with observing system simulating experiments G. Lyu et al. 10.1002/qj.4044
66. Impacts on sea ice analyses from the assumption of uncorrelated ice thickness observation errors: Experiments using a 1D toy model G. Stonebridge et al. 10.1080/16000870.2018.1445379
67. Influence of the Arctic on the Predictability of Eurasian Winter Extreme Weather Events G. Dai & M. Mu 10.1007/s00376-019-9222-7
68. Thin Sea Ice, Thick Snow, and Widespread Negative Freeboard Observed During N‐ICE2015 North of Svalbard A. Rösel et al. 10.1002/2017JC012865
69. Copernicus Ocean State Report, issue 6 10.1080/1755876X.2022.2095169
70. Satellite-Based Data Assimilation System for the Initialization of Arctic Sea Ice Concentration and Thickness Using CICE5 J. Lee & Y. Ham 10.3389/fclim.2022.797733
71. NorCPM1 and its contribution to CMIP6 DCPP I. Bethke et al. 10.5194/gmd-14-7073-2021
72. Evaluation of simulations of near-surface variables using the regional climate model CCLM for the MOSAiC winter period G. Heinemann et al. 10.1525/elementa.2022.00033
73. SMOS-derived Antarctic thin sea ice thickness: data description and validation in the Weddell Sea L. Kaleschke et al. 10.5194/essd-16-3149-2024
74. A multi-frequency altimetry snow depth product over Arctic sea ice A. Carret et al. 10.1038/s41597-024-04343-4
75. Baltic sea ice thickness estimation based on X-band SAR data and background information J. Karvonen & B. Cheng 10.1017/aog.2024.24
76. Causes and evolution of winter polynyas north of Greenland Y. Lee et al. 10.5194/tc-17-233-2023
77. Improving sea ice thickness estimates by assimilating CryoSat‐2 and SMOS sea ice thickness data simultaneously L. Mu et al. 10.1002/qj.3225
78. Sea ice cover in the Copernicus Arctic Regional Reanalysis Y. Batrak et al. 10.5194/tc-18-1157-2024
79. Satellite-based sea ice thickness changes in the Laptev Sea from 2002 to 2017: comparison to mooring observations H. Belter et al. 10.5194/tc-14-2189-2020
80. Intercomparisons and Evaluations of Satellite-Derived Arctic Sea Ice Thickness Products F. Chen et al. 10.3390/rs16030508
81. 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
82. Description of FIO-ESM version 2.1 and evaluation of its sea ice simulations Q. Shu et al. 10.1016/j.ocemod.2023.102308
83. Spectral Modeling of Ice-Induced Wave Decay Q. Liu et al. 10.1175/JPO-D-19-0187.1
84. Modelling the effect of sea ice in an ocean tide model A. Vasulkar et al. 10.1016/j.ocemod.2024.102405
85. Improving Met Office seasonal predictions of Arctic sea ice using assimilation of CryoSat-2 thickness E. Blockley & K. Peterson 10.5194/tc-12-3419-2018
86. Assessment of High‐Resolution Dynamical and Machine Learning Models for Prediction of Sea Ice Concentration in a Regional Application S. Fritzner et al. 10.1029/2020JC016277
87. Thermodynamic and dynamic contributions to seasonal Arctic sea ice thickness distributions from airborne observations L. von Albedyll et al. 10.1525/elementa.2021.00074
88. Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys J. Negrel et al. 10.1017/aog.2020.61
89. Detecting Sea Ice Leads and Floes in the Northwest Passage Using CryoSat-2 A. Swiggs et al. 10.1109/JSTARS.2024.3503286
90. Impacts of snow data and processing methods on the interpretation of long-term changes in Baffin Bay early spring sea ice thickness I. Glissenaar et al. 10.5194/tc-15-4909-2021
91. Measurements of 540–1740 MHz Brightness Temperatures of Sea Ice During the Winter of the MOSAiC Campaign O. Demir et al. 10.1109/TGRS.2021.3105360
92. Validation of key Arctic energy and water budget components in CMIP6 S. Winkelbauer et al. 10.1007/s00382-024-07105-5
93. 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
94. Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al. 10.5194/os-19-1375-2023
95. 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
96. Mapping Arctic Sea-Ice Surface Roughness with Multi-Angle Imaging SpectroRadiometer T. Johnson et al. 10.3390/rs14246249
97. Monitoring Arctic thin ice: a comparison between CryoSat-2 SAR altimetry data and MODIS thermal-infrared imagery F. Müller et al. 10.5194/tc-17-809-2023
98. Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps C. Gabarró et al. 10.3389/frsen.2023.952091
99. Evaluation of Sea Ice Simulation of CAS-ESM 2.0 in Historical Experiment X. Gao et al. 10.3390/atmos13071056
100. Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation A. Hvatov et al. 10.1016/j.ocemod.2019.101427
101. Inter-comparison of snow depth over Arctic sea ice from reanalysis reconstructions and satellite retrieval L. Zhou et al. 10.5194/tc-15-345-2021
102. Assessment of Arctic sea ice and surface climate conditions in nine CMIP6 climate models M. Henke et al. 10.1080/15230430.2023.2271592
103. Satellite-derived sea ice export and its impact on Arctic ice mass balance R. Ricker et al. 10.5194/tc-12-3017-2018
104. The Impact of an Intense Cyclone on Short‐Term Sea Ice Loss in a Fully Coupled Atmosphere‐Ocean‐Ice Model D. Stern et al. 10.1029/2019GL085580
105. 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
106. 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
107. Simulations for CMIP6 With the AWI Climate Model AWI‐CM‐1‐1 T. Semmler et al. 10.1029/2019MS002009
108. 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
109. Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models F. Richter et al. 10.5194/tc-12-921-2018
110. The MOSAiC ice floe: sediment-laden survivor from the Siberian shelf T. Krumpen et al. 10.5194/tc-14-2173-2020
111. Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system T. Nakanowatari et al. 10.5194/tc-12-2005-2018
112. Assessment of sea ice thickness simulations in the CMIP6 models with CICE components M. Xu & J. Li 10.3389/fmars.2023.1223772
113. Spatiotemporal variation and freeze-thaw asymmetry of Arctic sea ice in multiple dimensions during 1979 to 2020 Y. Guo et al. 10.1007/s13131-023-2296-9
114. Data Synergy between Altimetry and L-Band Passive Microwave Remote Sensing for the Retrieval of Sea Ice Parameters—A Theoretical Study of Methodology S. Xu et al. 10.3390/rs9101079
115. 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
116. Intercomparison of Arctic sea ice simulation in ROMS-CICE and ROMS-Budgell R. Kumar et al. 10.1016/j.polar.2021.100716
117. Studies of Sea-Ice Thickness and Salinity Retrieval Using 0.5–2 GHz Microwave Radiometry O. Demir et al. 10.1109/TGRS.2022.3168646
118. Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. 10.1007/s10712-023-09781-0
119. Arctic sea ice thickness prediction using machine learning: a long short-term memory model T. Zaatar et al. 10.1007/s10479-024-06457-9
120. Microwave Radiometry at Frequencies From 500 to 1400 MHz: An Emerging Technology for Earth Observations J. Johnson et al. 10.1109/JSTARS.2021.3073286
121. Driving Mechanisms of an Extreme Winter Sea Ice Breakup Event in the Beaufort Sea J. Rheinlænder et al. 10.1029/2022GL099024
122. Record winter winds in 2020/21 drove exceptional Arctic sea ice transport R. Mallett et al. 10.1038/s43247-021-00221-8
123. Ocean Reanalyses: Recent Advances and Unsolved Challenges A. Storto et al. 10.3389/fmars.2019.00418
124. Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts duringXuelong's first trans-Arctic Passage in summer 2017 L. Mu et al. 10.1017/jog.2019.55
125. Comparative analysis of sea ice conditions in five reanalysis datasets along the Northern Sea Route Z. Xiong et al. 10.1007/s10236-025-01684-5
126. Arctic sea ice variation in the Northwest Passage in 1979–2017 and its response to surface thermodynamics factors X. Shen et al. 10.1016/j.accre.2021.08.004
127. A fully coupled Arctic sea-ice–ocean–atmosphere model (ArcIOAM v1.0) based on C-Coupler2: model description and preliminary results S. Ren et al. 10.5194/gmd-14-1101-2021
128. Predictability of Arctic sea ice on weather time scales M. Mohammadi-Aragh et al. 10.1038/s41598-018-24660-0
129. Estimating thin ice thickness around Svalbard using MODIS satellite imagery Ø. Rudjord et al. 10.1080/04353676.2022.2070158
130. Central Arctic weather forecasting: Confronting theECMWF IFSwith observations from the Arctic Ocean 2018 expedition M. Tjernström et al. 10.1002/qj.3971
131. Retrieval of daily sea ice thickness from AMSR2 passive microwave data using ensemble convolutional neural networks J. Chi & H. Kim 10.1080/15481603.2021.1943213
132. Properties of surface water masses in the Laptev and the East Siberian seas in summer 2018 from in situ and satellite data A. Tarasenko et al. 10.5194/os-17-221-2021
133. Interannual variability in Transpolar Drift summer sea ice thickness and potential impact of Atlantification H. Belter et al. 10.5194/tc-15-2575-2021
134. Sea‐Ice Forecasts With an Upgraded AWI Coupled Prediction System L. Mu et al. 10.1029/2022MS003176
135. Ship-based estimates of momentum transfer coefficient over sea ice and recommendations for its parameterization P. Srivastava et al. 10.5194/acp-22-4763-2022
136. Operational Service for Mapping the Baltic Sea Landfast Ice Properties M. Mäkynen et al. 10.3390/rs12244032
137. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment A. Shah et al. 10.1080/16000870.2019.1697166
138. The Arctic Subpolar Gyre sTate Estimate: Description and Assessment of a Data‐Constrained, Dynamically Consistent Ocean‐Sea Ice Estimate for 2002–2017 A. Nguyen et al. 10.1029/2020MS002398
139. An improved regional coupled modeling system for Arctic sea ice simulation and prediction: a case study for 2018 C. Yang et al. 10.5194/gmd-15-1155-2022
140. The 2017 Reversal of the Beaufort Gyre: Can Dynamic Thickening of a Seasonal Ice Cover During a Reversal Limit Summer Ice Melt in the Beaufort Sea? D. Babb et al. 10.1029/2020JC016796
141. Estimation of Daily Arctic Winter Sea Ice Thickness from Thermodynamic Parameters Using a Self-Attention Convolutional Neural Network Z. Liang et al. 10.3390/rs15071887
142. Influence of New Parameterization Schemes on Arctic Sea Ice Simulation Y. Lu et al. 10.3390/jmse12040555
143. Map of Arctic and Antarctic Polynyas 2013–2022 Using Sea Ice Concentration K. Yang et al. 10.3390/rs17071213
144. Year-round impact of winter sea ice thickness observations on seasonal forecasts B. Balan-Sarojini et al. 10.5194/tc-15-325-2021
145. Bias correction of Arctic sea ice thickness products based on factor selection and machine learning methods H. Wu et al. 10.1016/j.apor.2024.104069
146. Toward Quantifying the Increasing Accessibility of the Arctic Northeast Passage in the Past Four Decades C. Min et al. 10.1007/s00376-022-2040-3
147. Arctic ocean–sea ice reanalysis for the period 2007–2016 using the adjoint method G. Lyu et al. 10.1002/qj.4002
148. Assimilation of SMOS sea ice thickness in the regional ice prediction system M. Gupta et al. 10.1080/01431161.2021.1897183
149. Trans-Arctic shipping routes expanding faster than the model projections Y. Cao et al. 10.1016/j.gloenvcha.2022.102488
150. Evaluation and fusion of multi-source sea ice thickness products with limited in-situ observations T. Li et al. 10.3389/fmars.2024.1464391
151. Can we extend local sea-ice measurements to satellite scale? An example from the N-ICE2015 expedition A. Rösel et al. 10.1017/aog.2017.37
152. MOSAiC drift expedition from October 2019 to July 2020: sea ice conditions from space and comparison with previous years T. Krumpen et al. 10.5194/tc-15-3897-2021
153. Estimating Arctic Sea Ice Thickness with CryoSat-2 Altimetry Data Using the Least Squares Adjustment Method F. Xiao et al. 10.3390/s20247011
154. Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. 10.1029/2019JC015820
155. Multisensor data fusion of operational sea ice observations K. Wang et al. 10.3389/fmars.2024.1366002
156. Reconstruction of Arctic sea ice thickness (1992–2010) based on a hybrid machine learning and data assimilation approach L. Edel et al. 10.5194/tc-19-731-2025
157. Improving Arctic sea ice seasonal outlook by ensemble prediction using an ice-ocean model Q. Yang et al. 10.1016/j.atmosres.2019.04.021
158. Snow-driven uncertainty in CryoSat-2-derived Antarctic sea ice thickness – insights from McMurdo Sound D. Price et al. 10.5194/tc-13-1409-2019
159. Arctic sea ice concentration and thickness data assimilation in the FIO-ESM climate forecast system Q. Shu et al. 10.1007/s13131-021-1768-4
160. Satellite Observations for Detecting and Forecasting Sea-Ice Conditions: A Summary of Advances Made in the SPICES Project by the EU’s Horizon 2020 Programme M. Mäkynen et al. 10.3390/rs12071214
161. Arctic sea ice thickness variations from CryoSat-2 satellite altimetry data F. Xiao et al. 10.1007/s11430-020-9777-9
162. Unprecedented decline of Arctic sea ice outflow in 2018 H. Sumata et al. 10.1038/s41467-022-29470-7
163. Impact of three intense winter cyclones on the sea ice cover in the Barents Sea: A case study with a coupled regional climate model L. Aue et al. 10.3389/feart.2023.1112467
164. Ice thickness data in the northern sea route (NSR) for the period 2006–2016 A. Cheaitou et al. 10.1016/j.dib.2019.103925
165. Implementation and evaluation of open boundary conditions for sea ice in a regional coupled ocean (ROMS) and sea ice (CICE) modeling system P. Duarte et al. 10.5194/gmd-15-4373-2022
166. The evolution of the Fram Strait sea ice volume export decomposed by age: estimating with parameter-optimized sea ice-ocean model outputs Y. Yang et al. 10.1088/1748-9326/acaf3b
167. Winter arctic sea ice volume decline: uncertainties reduced using passive microwave-based sea ice thickness C. Soriot et al. 10.1038/s41598-024-70136-9
168. Ice algae in current water-ice environmental condition of the Arctic Ocean I. Melnikov et al. 10.30758/0555-2648-2022-68-2-191-207
169. Evaluation of the Arctic Sea-Ice Simulation on SODA3 Datasets Z. Ge et al. 10.1007/s00376-023-2320-6
170. Arctic Sea Ice Thickness Estimation From Passive Microwave Satellite Observations Between 1.4 and 36 GHz C. Soriot et al. 10.1029/2022EA002542
171. A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications A. Schmitt & L. Kaleschke 10.3390/rs10040553
172. Warm winter, thin ice? J. Stroeve et al. 10.5194/tc-12-1791-2018
173. Seasonality and timing of sea ice mass balance and heat fluxes in the Arctic transpolar drift during 2019–2020 R. Lei et al. 10.1525/elementa.2021.000089
174. A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era J. Anheuser et al. 10.5194/tc-17-2871-2023
175. Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean–sea ice modelling system S. Fritzner et al. 10.5194/tc-13-491-2019
176. The impacts of anomalies in atmospheric circulations on Arctic sea ice outflow and sea ice conditions in the Barents and Greenland seas: case study in 2020 F. Zhang et al. 10.5194/tc-17-4609-2023
177. Turbulent Heat Fluxes over Arctic Sea Ice: Measurements and Evaluation of Recent Parameterizations P. Srivastava et al. 10.1007/s10546-024-00887-5
178. Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al. 10.1029/2019MS001937
179. Sea-Ice Permittivity Derived From GNSS Reflection Profiles: Results of the MOSAiC Expedition A. Semmling et al. 10.1109/TGRS.2021.3121993
180. Projection of sea ice conditions in the Canadian Arctic Archipelago based on CMIP6 assessments Y. Liang et al. 10.1016/j.accre.2025.02.008
181. Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4 Y. Xiu et al. 10.1017/jog.2020.110
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