85 citations as recorded by crossref.

1. SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models G. De Carolis et al. 10.1038/s41598-021-82228-x
2. An RFI-suppressed SMOS L-band multi-angular brightness temperature dataset spanning over a decade (since 2010) Z. Peng et al. 10.1038/s41597-023-02499-z
3. 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
4. Community review of Southern Ocean satellite data needs A. Pope et al. 10.1017/S0954102016000390
5. 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
6. Sea Ice Production in the 2016 and 2017 Maud Rise Polynyas L. Zhou et al. 10.1029/2022JC019148
7. 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
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 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
10. 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
11. Observing Waves in Sea Ice With ICESat‐2 C. Horvat et al. 10.1029/2020GL087629
12. PMDRnet: A Progressive Multiscale Deformable Residual Network for Multi-Image Super-Resolution of AMSR2 Arctic Sea Ice Images X. Liu et al. 10.1109/TGRS.2022.3151623
13. Weddell Sea polynya analysis using SMOS–SMAP apparent sea ice thickness retrieval A. Mchedlishvili et al. 10.5194/tc-16-471-2022
14. Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
15. 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
16. 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
17. New methodology to estimate Arctic sea ice concentration from SMOS combining brightness temperature differences in a maximum-likelihood estimator C. Gabarro et al. 10.5194/tc-11-1987-2017
18. Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar J. Karvonen et al. 10.5194/tc-16-1821-2022
19. Intensity of Level Ice Simulated with the CICE Model for Oil-Gas Exploitation in the Southern Kara Sea, Arctic C. Duan et al. 10.1007/s11802-022-4914-5
20. 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
21. On sea ice emission modeling for MOSAiC's L-band radiometric measurements F. Hernández-Macià et al. 10.1017/aog.2024.38
22. 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
23. Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps C. Gabarró et al. 10.3389/frsen.2023.952091
24. Retrieval of sea ice thickness from the reflected signal of a satellite navigation system W. Wang & Q. Gao 10.1080/01431161.2020.1751898
25. AMSR2 Thin Ice Detection Algorithm for the Arctic Winter Conditions M. Makynen & M. Simila 10.1109/TGRS.2022.3142966
26. Parameterization, sensitivity, and uncertainty of 1-D thermodynamic thin-ice thickness retrieval T. Zhang et al. 10.1007/s13131-023-2210-x
27. A new method for parameterization of wave dissipation by sea ice J. Yu et al. 10.1016/j.coldregions.2022.103582
28. Sea‐Ice Impacts Inter‐Annual Variability of Phytoplankton Bloom Characteristics and Carbon Export in the Weddell Sea I. Giddy et al. 10.1029/2023GL103695
29. 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
30. Improving Sea Ice Characterization in Dry Ice Winter Conditions Using Polarimetric Parameters from C- and L-Band SAR Data M. Dabboor et al. 10.3390/rs9121270
31. Spectral attenuation of ocean waves in pack ice and its application in calibrating viscoelastic wave-in-ice models S. Cheng et al. 10.5194/tc-14-2053-2020
32. Assimilation of SMOS sea ice thickness in the regional ice prediction system M. Gupta et al. 10.1080/01431161.2021.1897183
33. Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al. 10.5194/os-19-1375-2023
34. Ocean Remote Sensing Using Spaceborne GNSS-Reflectometry: A Review J. Bu et al. 10.1109/JSTARS.2024.3418429
35. 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
36. Observations and Simulations of Meteorological Conditions over Arctic Thick Sea Ice in Late Winter during the Transarktika 2019 Expedition G. Heinemann et al. 10.3390/atmos12020174
37. 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
38. Calibrating a Viscoelastic Sea Ice Model for Wave Propagation in the Arctic Fall Marginal Ice Zone S. Cheng et al. 10.1002/2017JC013275
39. A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications A. Schmitt & L. Kaleschke 10.3390/rs10040553
40. 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
41. 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
42. Concept-driven extraction of the Antarctic marginal sea ice zone from remote sensing image time series X. Zhao et al. 10.1016/j.spasta.2021.100578
43. 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
44. Thin Ice Detection in the Barents and Kara Seas Using AMSR2 High-Frequency Radiometer Data M. Makynen & M. Simila 10.1109/TGRS.2019.2913283
45. Early Winter Triggering of the Maud Rise Polynya L. Zhou et al. 10.1029/2021GL096246
46. 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
47. Sea Ice Thickness Measurement Using Spaceborne GNSS-R: First Results With TechDemoSat-1 Data Q. Yan & W. Huang 10.1109/JSTARS.2020.2966880
48. Comparison of ERA5 and ERA-Interim near-surface air temperature, snowfall and precipitation over Arctic sea ice: effects on sea ice thermodynamics and evolution C. Wang et al. 10.5194/tc-13-1661-2019
49. Spectral Modeling of Ice-Induced Wave Decay Q. Liu et al. 10.1175/JPO-D-19-0187.1
50. Southern Ocean polynyas in CMIP6 models M. Mohrmann et al. 10.5194/tc-15-4281-2021
51. Estimates of spectral wave attenuation in Antarctic sea ice, using model/data inversion W. Rogers et al. 10.1016/j.coldregions.2020.103198
52. Linking timescale-dependent Antarctic sea ice kinematic observations to ice thickness T. Tian et al. 10.1016/j.rse.2023.113813
53. 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
54. 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
55. Distribution of modified Circumpolar Deep Water and its threat in Vincennes Bay, East Antarctica W. Ye et al. 10.1007/s00343-024-3164-3
56. STDNet: Spatio-Temporal Decompose Network for Predicting Arctic Sea Ice Concentration X. Zhu et al. 10.3390/rs16234534
57. Spatial and Temporal Variability of Minimum Brightness Temperature at the 6.925 GHz Band of AMSR2 for the Arctic and Antarctic Oceans Y. Kwon et al. 10.3390/rs13112122
58. 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
59. Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system J. Xie et al. 10.5194/tc-10-2745-2016
60. Expected Performances of the Copernicus Imaging Microwave Radiometer (CIMR) for an All‐Weather and High Spatial Resolution Estimation of Ocean and Sea Ice Parameters L. Kilic et al. 10.1029/2018JC014408
61. On the Ocean Wave Attenuation Rate in Grease‐Pancake Ice, a Comparison of Viscous Layer Propagation Models With Field Data F. De Santi et al. 10.1029/2018JC013865
62. Step-by-Step Validation of Antarctic ASI AMSR-E Sea-Ice Concentrations by MODIS and an Aerial Image Q. Shi et al. 10.1109/TGRS.2020.2989037
63. Estimating thin ice thickness around Svalbard using MODIS satellite imagery Ø. Rudjord et al. 10.1080/04353676.2022.2070158
64. Arctic sea ice in transformation: A review of recent observed changes and impacts on biology and human activity W. Meier et al. 10.1002/2013RG000431
65. Combined SMAP–SMOS thin sea ice thickness retrieval C. Paţilea et al. 10.5194/tc-13-675-2019
66. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment A. Shah et al. 10.1080/16000870.2019.1697166
67. Operational Service for Mapping the Baltic Sea Landfast Ice Properties M. Mäkynen et al. 10.3390/rs12244032
68. Spaceborne GNSS Reflectometry K. Yu et al. 10.3390/rs14071605
69. Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. 10.1007/s10712-023-09781-0
70. Open-Ocean Polynyas in the Cooperation Sea, Antarctica Q. Qin et al. 10.1175/JPO-D-21-0197.1
71. Southern Ocean sea ice concentration budgets of five ocean-sea ice reanalyses Y. Nie et al. 10.1007/s00382-022-06260-x
72. On the retrieval of sea-ice thickness using SMOS polarization differences M. GUPTA et al. 10.1017/jog.2019.26
73. Effects of decimetre-scale surface roughness on L-band brightness temperature of sea ice M. Miernecki et al. 10.5194/tc-14-461-2020
74. Validation of SMOS sea ice thickness retrieval in the northern Baltic Sea N. Maaß et al. 10.3402/tellusa.v67.24617
75. Comparison of Arctic Sea Ice Thickness from Satellites, Aircraft, and PIOMAS Data X. Wang et al. 10.3390/rs8090713
76. 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
77. Snow thickness retrieval from L-band brightness temperatures: a model comparison N. Maass et al. 10.3189/2015AoG69A886
78. 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
79. Applications of Deep Learning-Based Super-Resolution Networks for AMSR2 Arctic Sea Ice Images T. Feng et al. 10.3390/rs15225401
80. Arctic Thin Ice Detection Using AMSR2 and FY-3C MWRI Radiometer Data M. Mäkynen & M. Similä 10.3390/rs16091600
81. Sea Ice and Atmospheric Parameter Retrieval From Satellite Microwave Radiometers: Synergy of AMSR2 and SMOS Compared With the CIMR Candidate Mission R. Scarlat et al. 10.1029/2019JC015749
82. Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations N. Ivanova et al. 10.5194/tc-9-1797-2015
83. 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
84. Ice thickness measurements by Raman scattering S. Pershin et al. 10.1364/OL.39.002573
85. Transparent material thickness measurements by Raman scattering S. Pershin et al. 10.1364/AO.54.005943