161 citations as recorded by crossref.

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5. Arctic Sea Ice Type Classification Using a Multi-Dimensional Feature Set Derived from FY-3E GNSS-R and SMOS Y. Hu et al. https://doi.org/10.3390/rs18091312
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19. 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. https://doi.org/10.3390/rs12071214
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29. Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts duringXuelong's first trans-Arctic Passage in summer 2017 L. Mu et al. https://doi.org/10.1017/jog.2019.55
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39. Assessment of Machine Learning-Driven Retrievals of Arctic Sea Ice Thickness from L-Band Radiometry Remote Sensing F. Hernández-Macià et al. https://doi.org/10.3390/computers14080305
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41. Lead detection in Arctic sea ice from CryoSat-2: quality assessment, lead area fraction and width distribution A. Wernecke & L. Kaleschke https://doi.org/10.5194/tc-9-1955-2015
42. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment A. Shah et al. https://doi.org/10.1080/16000870.2019.1697166
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44. The Arctic Sea Ice Thickness Change in CMIP6’s Historical Simulations L. Chen et al. https://doi.org/10.1007/s00376-022-1460-4
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47. Improved Sea Ice Fraction Characterization for L-Band Observations by the Aquarius Radiometers E. Dinnat & L. Brucker https://doi.org/10.1109/TGRS.2016.2622011
48. Transiting consolidated ice strongly influenced polynya area during a shrink event in Terra Nova Bay in 2013 Y. Lin et al. https://doi.org/10.1038/s43247-023-00712-w
49. Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3 T. Tian et al. https://doi.org/10.5194/gmd-14-4283-2021
50. Copernicus Marine Service Ocean State Report K. von Schuckmann et al. https://doi.org/10.1080/1755876X.2018.1489208
51. Remote Sensing of Sea Surface Salinity: Comparison of Satellite and In Situ Observations and Impact of Retrieval Parameters E. Dinnat et al. https://doi.org/10.3390/rs11070750
52. Parameterization, sensitivity, and uncertainty of 1-D thermodynamic thin-ice thickness retrieval T. Zhang et al. https://doi.org/10.1007/s13131-023-2210-x
53. Bias correction of Arctic sea ice thickness products based on factor selection and machine learning methods H. Wu et al. https://doi.org/10.1016/j.apor.2024.104069
54. A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data R. Ricker et al. https://doi.org/10.5194/tc-11-1607-2017
55. Assessing the current and future Arctic Ocean observing system with observing system simulating experiments G. Lyu et al. https://doi.org/10.1002/qj.4044
56. Estimation of summer pan-Arctic ice draft from satellite passive microwave observations J. Kim et al. https://doi.org/10.1016/j.rse.2023.113662
57. Retrieval of Sea Ice Concentration and Thickness During the Arctic Freezing Period from Tianmu-1 Based on Machine Learning X. Xu et al. https://doi.org/10.3390/rs18020237
58. Winter sea ice export from the Laptev Sea preconditions the local summer sea ice cover and fast ice decay P. Itkin & T. Krumpen https://doi.org/10.5194/tc-11-2383-2017
59. 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. https://doi.org/10.1029/2020JC016796
60. Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. https://doi.org/10.1007/s10712-023-09781-0
61. Weddell Sea polynya analysis using SMOS–SMAP apparent sea ice thickness retrieval A. Mchedlishvili et al. https://doi.org/10.5194/tc-16-471-2022
62. 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. https://doi.org/10.1029/2020MS002398
63. Thermodynamical and Dynamical Impacts of an Intense Cyclone on Arctic Sea Ice Z. Tian et al. https://doi.org/10.1029/2022JC018436
64. On the effects of the timing of an intense cyclone on summertime sea-ice evolution in the Arctic Z. Tian et al. https://doi.org/10.1017/aog.2024.15
65. Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. https://doi.org/10.1016/j.scib.2018.11.018
66. Year-round impact of winter sea ice thickness observations on seasonal forecasts B. Balan-Sarojini et al. https://doi.org/10.5194/tc-15-325-2021
67. Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. https://doi.org/10.1029/2019JC015820
68. Studies of Sea-Ice Thickness and Salinity Retrieval Using 0.5–2 GHz Microwave Radiometry O. Demir et al. https://doi.org/10.1109/TGRS.2022.3168646
69. Navigability of the Northern Sea Route for Arc7 ice-class vessels during winter and spring sea-ice conditions S. CHEN et al. https://doi.org/10.1016/j.accre.2022.09.005
70. Estimation of Thin-Ice Thickness and Discrimination of Ice Type From AMSR-E Passive Microwave Data K. Nakata et al. https://doi.org/10.1109/TGRS.2018.2853590
71. Assessment of contemporary satellite sea ice thickness products for Arctic sea ice H. Sallila et al. https://doi.org/10.5194/tc-13-1187-2019
72. Sea ice thickness in the Eastern Canadian Arctic: Hudson Bay Complex & Baffin Bay J. Landy et al. https://doi.org/10.1016/j.rse.2017.08.019
73. Improving L-band radiation model and representation of small-scale variability to simulate brightness temperature of sea ice L. Zhou et al. https://doi.org/10.1080/01431161.2017.1371862
74. Combined SMAP–SMOS thin sea ice thickness retrieval C. Paţilea et al. https://doi.org/10.5194/tc-13-675-2019
75. Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images X. Zhang et al. https://doi.org/10.5194/tc-10-1529-2016
76. A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval J. Anheuser et al. https://doi.org/10.5194/tc-16-4403-2022
77. Estimation of Daily Arctic Winter Sea Ice Thickness from Thermodynamic Parameters Using a Self-Attention Convolutional Neural Network Z. Liang et al. https://doi.org/10.3390/rs15071887
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83. On the retrieval of sea ice thickness and snow depth using concurrent laser altimetry and L-band remote sensing data L. Zhou et al. https://doi.org/10.5194/tc-12-993-2018
84. Early Winter Triggering of the Maud Rise Polynya L. Zhou et al. https://doi.org/10.1029/2021GL096246
85. AMSR2 Thin Ice Detection Algorithm for the Arctic Winter Conditions M. Makynen & M. Simila https://doi.org/10.1109/TGRS.2022.3142966
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91. Ice Sheet and Sea Ice Ultrawideband Microwave radiometric Airborne eXperiment (ISSIUMAX) in Antarctica: first results from Terra Nova Bay M. Brogioni et al. https://doi.org/10.5194/tc-17-255-2023
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103. Effects of decimetre-scale surface roughness on L-band brightness temperature of sea ice M. Miernecki et al. https://doi.org/10.5194/tc-14-461-2020
104. A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season J. Stroeve et al. https://doi.org/10.3389/fmars.2020.592337
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111. An exemplary case of a bromine explosion event linked to cyclone development in the Arctic A. Blechschmidt et al. https://doi.org/10.5194/acp-16-1773-2016
112. Ensemble-based estimation of sea-ice volume variations in the Baffin Bay C. Min et al. https://doi.org/10.5194/tc-15-169-2021
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114. Antarctic Landfast Sea Ice: A Review of Its Physics, Biogeochemistry and Ecology A. Fraser et al. https://doi.org/10.1029/2022RG000770
115. Soil Moisture and Sea Surface Salinity Derived from Satellite-Borne Sensors J. Boutin et al. https://doi.org/10.1007/s10712-023-09798-5
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119. Polar Ocean Observations: A Critical Gap in the Observing System and Its Effect on Environmental Predictions From Hours to a Season G. Smith et al. https://doi.org/10.3389/fmars.2019.00429
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122. Ocean Remote Sensing Using Spaceborne GNSS-Reflectometry: A Review J. Bu et al. https://doi.org/10.1109/JSTARS.2024.3418429
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125. Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4 Y. Xiu et al. https://doi.org/10.1017/jog.2020.110
126. 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. https://doi.org/10.5194/tc-16-61-2022
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129. Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system J. Xie et al. https://doi.org/10.5194/tc-10-2745-2016
130. A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era J. Anheuser et al. https://doi.org/10.5194/tc-17-2871-2023
131. Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al. https://doi.org/10.5194/os-19-1375-2023
132. Evaluation of the ArcIOPS sea ice forecasts during 2021–2023 X. Liang et al. https://doi.org/10.3389/feart.2024.1477626
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135. Multidecadal Arctic sea ice thickness and volume derived from ice age Y. Liu et al. https://doi.org/10.5194/tc-14-1325-2020
136. Baltic sea ice thickness estimation based on X-band SAR data and background information J. Karvonen & B. Cheng https://doi.org/10.1017/aog.2024.24
137. Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al. https://doi.org/10.1029/2019MS001937
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140. A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications A. Schmitt & L. Kaleschke https://doi.org/10.3390/rs10040553
141. Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean–sea ice modelling system S. Fritzner et al. https://doi.org/10.5194/tc-13-491-2019
142. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review G. Balsamo et al. https://doi.org/10.3390/rs10122038
143. Evaluation of Arctic Sea Ice Thickness from a Parameter-Optimized Arctic Sea Ice–Ocean Model Q. Zhang et al. https://doi.org/10.3390/rs15102537
144. Statistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations L. Ponsoni et al. https://doi.org/10.5194/tc-14-2409-2020
145. Theoretical study of ice cover phenology at large freshwater lakes based on SMOS MIRAS data V. Tikhonov et al. https://doi.org/10.5194/tc-12-2727-2018
146. Impacts on sea ice analyses from the assumption of uncorrelated ice thickness observation errors: Experiments using a 1D toy model G. Stonebridge et al. https://doi.org/10.1080/16000870.2018.1445379
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150. GNSS-R Sea Ice Thickness Retrieval Based on Ensemble Learning Method Y. Hu et al. https://doi.org/10.1109/TGRS.2025.3558734
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156. Satellite-based sea ice thickness changes in the Laptev Sea from 2002 to 2017: comparison to mooring observations H. Belter et al. https://doi.org/10.5194/tc-14-2189-2020
157. Retrieval of thin-ice thickness in arctic marginal seas through a combination of thermal and optical observations from polar orbiting satellites Z. Suo et al. https://doi.org/10.1080/15481603.2025.2567117
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