100 citations as recorded by crossref.

1. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. 10.1029/2019RG000652
2. Snow depth on Arctic sea ice from historical in situ data E. Shalina & S. Sandven 10.5194/tc-12-1867-2018
3. Thin Arctic sea ice in L-band observations and an ocean reanalysis S. Tietsche et al. 10.5194/tc-12-2051-2018
4. Insights on Sea Ice Data Assimilation from Perfect Model Observing System Simulation Experiments Y. Zhang et al. 10.1175/JCLI-D-17-0904.1
5. MODIS Sea Ice Thickness and Open Water–Sea Ice Charts over the Barents and Kara Seas for Development and Validation of Sea Ice Products from Microwave Sensor Data M. Mäkynen & J. Karvonen 10.3390/rs9121324
6. 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
7. The spatiotemporal patterns of sea ice in the Bohai Sea during the winter seasons of 2000–2016 L. Ouyang et al. 10.1080/17538947.2017.1365957
8. Seasonal Arctic Sea Ice Prediction Using a Newly Developed Fully Coupled Regional Model With the Assimilation of Satellite Sea Ice Observations C. Yang et al. 10.1029/2019MS001938
9. 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
10. Sea ice export through the Fram Strait derived from a combined model and satellite data set C. Min et al. 10.5194/tc-13-3209-2019
11. Advancing Polar Prediction Capabilities on Daily to Seasonal Time Scales T. Jung et al. 10.1175/BAMS-D-14-00246.1
12. Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013 J. Xie et al. 10.5194/os-13-123-2017
13. 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
14. Antarctic Sea-Ice Thickness Retrieval from ICESat: Inter-Comparison of Different Approaches S. Kern et al. 10.3390/rs8070538
15. Satellite-observed drop of Arctic sea ice growth in winter 2015-2016 R. Ricker et al. 10.1002/2016GL072244
16. Improving sea ice thickness estimates by assimilating CryoSat ‐2 and SMOS sea ice thickness data simultaneously L. Mu et al. 10.1002/qj.3225
17. Snow wetness and density retrieved from L-band satellite radiometer observations over a site in the West Greenland ablation zone D. Houtz et al. 10.1016/j.rse.2019.111361
18. Using Sea Surface Temperature Observations to Constrain Upper Ocean Properties in an Arctic Sea Ice‐Ocean Data Assimilation System X. Liang et al. 10.1029/2019JC015073
19. Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts during Xuelong's first trans-Arctic Passage in summer 2017 L. Mu et al. 10.1017/jog.2019.55
20. Dynamic Preconditioning of the Minimum September Sea-Ice Extent J. Williams et al. 10.1175/JCLI-D-15-0515.1
21. 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
22. An Arctic sea ice multi-step classification based on GNSS-R data from the TDS-1 mission N. Rodriguez-Alvarez et al. 10.1016/j.rse.2019.05.021
23. Comparison of Arctic Sea Ice Thickness from Satellites, Aircraft, and PIOMAS Data X. Wang et al. 10.3390/rs8090713
24. Arctic sea ice in the global eddy-permitting ocean reanalysis ORAP5 S. Tietsche et al. 10.1007/s00382-015-2673-3
25. Assimilation of SMOS sea ice thickness in the regional ice prediction system M. Gupta et al. 10.1080/01431161.2021.1897183
26. Lead detection in Arctic sea ice from CryoSat-2: quality assessment, lead area fraction and width distribution A. Wernecke & L. Kaleschke 10.5194/tc-9-1955-2015
27. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment A. Shah et al. 10.1080/16000870.2019.1697166
28. Sea Ice Thickness Retrieval Based on GOCI Remote Sensing Data: A Case Study F. Gu et al. 10.3390/rs13050936
29. Improved Sea Ice Fraction Characterization for L-Band Observations by the Aquarius Radiometers E. Dinnat & L. Brucker 10.1109/TGRS.2016.2622011
30. Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3 T. Tian et al. 10.5194/gmd-14-4283-2021
31. Copernicus Marine Service Ocean State Report K. von Schuckmann et al. 10.1080/1755876X.2018.1489208
32. Remote Sensing of Sea Surface Salinity: Comparison of Satellite and In Situ Observations and Impact of Retrieval Parameters E. Dinnat et al. 10.3390/rs11070750
33. A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data R. Ricker et al. 10.5194/tc-11-1607-2017
34. Assessing the current and future Arctic Ocean observing system with observing system simulating experiments G. Lyu et al. 10.1002/qj.4044
35. Winter sea ice export from the Laptev Sea preconditions the local summer sea ice cover and fast ice decay P. Itkin & T. Krumpen 10.5194/tc-11-2383-2017
36. 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
37. Weddell Sea polynya analysis using SMOS–SMAP apparent sea ice thickness retrieval A. Mchedlishvili et al. 10.5194/tc-16-471-2022
38. 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
39. Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
40. Year-round impact of winter sea ice thickness observations on seasonal forecasts B. Balan-Sarojini et al. 10.5194/tc-15-325-2021
41. Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. 10.1029/2019JC015820
42. Estimation of Thin-Ice Thickness and Discrimination of Ice Type From AMSR-E Passive Microwave Data K. Nakata et al. 10.1109/TGRS.2018.2853590
43. Assessment of contemporary satellite sea ice thickness products for Arctic sea ice H. Sallila et al. 10.5194/tc-13-1187-2019
44. Sea ice thickness in the Eastern Canadian Arctic: Hudson Bay Complex & Baffin Bay J. Landy et al. 10.1016/j.rse.2017.08.019
45. Improving L-band radiation model and representation of small-scale variability to simulate brightness temperature of sea ice L. Zhou et al. 10.1080/01431161.2017.1371862
46. Combined SMAP–SMOS thin sea ice thickness retrieval C. Paţilea et al. 10.5194/tc-13-675-2019
47. Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images X. Zhang et al. 10.5194/tc-10-1529-2016
48. 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
49. Thin Ice Detection in the Barents and Kara Seas Using AMSR2 High-Frequency Radiometer Data M. Makynen & M. Simila 10.1109/TGRS.2019.2913283
50. 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
51. Circumpolar Thin Arctic Sea Ice Thickness and Small-Scale Roughness Retrieval Using Soil Moisture and Ocean Salinity and Soil Moisture Active Passive Observations S. Jo et al. 10.3390/rs11232835
52. On the retrieval of sea ice thickness and snow depth using concurrent laser altimetry and L-band remote sensing data L. Zhou et al. 10.5194/tc-12-993-2018
53. Early Winter Triggering of the Maud Rise Polynya L. Zhou et al. 10.1029/2021GL096246
54. AMSR2 Thin Ice Detection Algorithm for the Arctic Winter Conditions M. Makynen & M. Simila 10.1109/TGRS.2022.3142966
55. 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
56. Improvement of Lake Ice Thickness Retrieval From MODIS Satellite Data Using a Thermodynamic Model H. Kheyrollah Pour et al. 10.1109/TGRS.2017.2718533
57. Evaluation of AMSR-E Thin Ice Thickness Algorithm from a Mooring-Based Observation: How Can the Satellite Observe a Sea Ice Field with Nonuniform Thickness Distribution? H. Kashiwase et al. 10.1175/JTECH-D-18-0218.1
58. Impacts of Assimilating Satellite Sea Ice Concentration and Thickness on Arctic Sea Ice Prediction in the NCEP Climate Forecast System Z. Chen et al. 10.1175/JCLI-D-17-0093.1
59. Bayesian Unsupervised Machine Learning Approach to Segment Arctic Sea Ice Using SMOS Data C. Herbert et al. 10.1029/2020GL091285
60. Snow thickness retrieval from L-band brightness temperatures: a model comparison N. Maass et al. 10.3189/2015AoG69A886
61. Advancing Short‐Term Forecasts of Ice Conditions in the Beaufort Sea M. Yaremchuk et al. 10.1029/2018JC014581
62. Comparison between a multi-variate nudging method and the ensemble Kalman filter for sea-ice data assimilation S. FRITZNER et al. 10.1017/jog.2018.33
63. Effects of decimetre-scale surface roughness on L-band brightness temperature of sea ice M. Miernecki et al. 10.5194/tc-14-461-2020
64. 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
65. 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
66. 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
67. An exemplary case of a bromine explosion event linked to cyclone development in the Arctic A. Blechschmidt et al. 10.5194/acp-16-1773-2016
68. Ensemble-based estimation of sea-ice volume variations in the Baffin Bay C. Min et al. 10.5194/tc-15-169-2021
69. Estimates of Sea Ice Mechanical Properties in the Kara Sea C. Duan et al. 10.1007/s00024-020-02543-8
70. 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. 10.3389/fmars.2019.00429
71. Brief communication: The challenge and benefit of using sea ice concentration satellite data products with uncertainty estimates in summer sea ice data assimilation Q. Yang et al. 10.5194/tc-10-761-2016
72. ESA's Soil Moisture and Ocean Salinity mission: From science to operational applications S. Mecklenburg et al. 10.1016/j.rse.2015.12.025
73. 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
74. 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
75. Improving the Met Office's Forecast Ocean Assimilation Model ( FOAM ) with the assimilation of satellite‐derived sea‐ice thickness data from CryoSat ‐2 and SMOS in the Arctic D. Mignac et al. 10.1002/qj.4252
76. 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
77. Validation of SMOS sea ice thickness retrieval in the northern Baltic Sea N. Maaß et al. 10.3402/tellusa.v67.24617
78. SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone L. Kaleschke et al. 10.1016/j.rse.2016.03.009
79. Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system J. Xie et al. 10.5194/tc-10-2745-2016
80. On the retrieval of sea-ice thickness using SMOS polarization differences M. GUPTA et al. 10.1017/jog.2019.26
81. Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission C. Herbert et al. 10.3390/rs13071366
82. Multidecadal Arctic sea ice thickness and volume derived from ice age Y. Liu et al. 10.5194/tc-14-1325-2020
83. Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al. 10.1029/2019MS001937
84. Taking into Account Atmospheric Uncertainty Improves Sequential Assimilation of SMOS Sea Ice Thickness Data in an Ice–Ocean Model Q. Yang et al. 10.1175/JTECH-D-15-0176.1
85. 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
86. A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications A. Schmitt & L. Kaleschke 10.3390/rs10040553
87. 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
88. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review G. Balsamo et al. 10.3390/rs10122038
89. Assimilating SMOS sea ice thickness into a coupled ice-ocean model using a local SEIK filter Q. Yang et al. 10.1002/2014JC009963
90. Statistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations L. Ponsoni et al. 10.5194/tc-14-2409-2020
91. Theoretical study of ice cover phenology at large freshwater lakes based on SMOS MIRAS data V. Tikhonov et al. 10.5194/tc-12-2727-2018
92. 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
93. Effect of Snow Salinity on CryoSat-2 Arctic First-Year Sea Ice Freeboard Measurements V. Nandan et al. 10.1002/2017GL074506
94. Assessment with Controlled In-Situ Data of the Dependence of L-Band Radiometry on Sea-Ice Thickness P. Sánchez-Gámez et al. 10.3390/rs12040650
95. DASSO: a data assimilation system for the Southern Ocean that utilizes both sea-ice concentration and thickness observations H. Luo et al. 10.1017/jog.2021.57
96. 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
97. Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST S. Prasad et al. 10.5194/tc-12-3949-2018
98. 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
99. Empirical sea ice thickness retrieval during the freeze-up period from SMOS high incident angle observations M. Huntemann et al. 10.5194/tc-8-439-2014
100. Weekly gridded Aquarius L-band radiometer/scatterometer observations and salinity retrievals over the polar regions – Part 2: Initial product analysis L. Brucker et al. 10.5194/tc-8-915-2014