91 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.
2. An RFI-suppressed SMOS L-band multi-angular brightness temperature dataset spanning over a decade (since 2010) Z. Peng et al.
3. Monitoring Arctic thin ice: a comparison between CryoSat-2 SAR altimetry data and MODIS thermal-infrared imagery F. Müller et al.
4. Community review of Southern Ocean satellite data needs A. Pope et al.
5. Assessing the representation of Arctic sea ice and the marginal ice zone in ocean–sea ice reanalyses F. Cocetta et al.
6. Sea Ice Production in the 2016 and 2017 Maud Rise Polynyas L. Zhou et al.
7. Map of Arctic and Antarctic Polynyas 2013–2022 Using Sea Ice Concentration K. Yang et al.
8. 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.
9. PMDRnet: A Progressive Multiscale Deformable Residual Network for Multi-Image Super-Resolution of AMSR2 Arctic Sea Ice Images X. Liu et al.
10. Weddell Sea polynya analysis using SMOS–SMAP apparent sea ice thickness retrieval A. Mchedlishvili et al.
11. 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.
12. 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.
13. SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone L. Kaleschke et al.
14. On sea ice emission modeling for MOSAiC's L-band radiometric measurements F. Hernández-Macià et al.
15. Updated Arctic melt pond fraction dataset and trends 2002–2023 using ENVISAT and Sentinel-3 remote sensing data L. Istomina et al.
16. The coupled Southern Ocean–Sea ice–Ice shelf Model (SOSIM v1.0): configuration and evaluation C. Liu et al.
17. Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps C. Gabarró et al.
18. AMSR2 Thin Ice Detection Algorithm for the Arctic Winter Conditions M. Makynen & M. Simila
19. 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.
20. Parameterization, sensitivity, and uncertainty of 1-D thermodynamic thin-ice thickness retrieval T. Zhang et al.
21. Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission C. Herbert et al.
22. Improving Sea Ice Characterization in Dry Ice Winter Conditions Using Polarimetric Parameters from C- and L-Band SAR Data M. Dabboor et al.
23. Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al.
24. Ocean Remote Sensing Using Spaceborne GNSS-Reflectometry: A Review J. Bu et al.
25. Theoretical study of ice cover phenology at large freshwater lakes based on SMOS MIRAS data V. Tikhonov et al.
26. Observations and Simulations of Meteorological Conditions over Arctic Thick Sea Ice in Late Winter during the Transarktika 2019 Expedition G. Heinemann et al.
27. Assessment with Controlled In-Situ Data of the Dependence of L-Band Radiometry on Sea-Ice Thickness P. Sánchez-Gámez et al.
28. A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications A. Schmitt & L. Kaleschke
29. 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.
30. Early Winter Triggering of the Maud Rise Polynya L. Zhou et al.
31. Sea Ice Thickness Measurement Using Spaceborne GNSS-R: First Results With TechDemoSat-1 Data Q. Yan & W. Huang
32. Spectral Modeling of Ice-Induced Wave Decay Q. Liu et al.
33. Estimates of spectral wave attenuation in Antarctic sea ice, using model/data inversion W. Rogers et al.
34. Estimation of Thin-Ice Thickness and Discrimination of Ice Type From AMSR-E Passive Microwave Data K. Nakata et al.
35. Distribution of modified Circumpolar Deep Water and its threat in Vincennes Bay, East Antarctica W. Ye et al.
36. 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.
37. 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.
38. Estimating thin ice thickness around Svalbard using MODIS satellite imagery Ø. Rudjord et al.
39. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment A. Shah et al.
40. Operational Service for Mapping the Baltic Sea Landfast Ice Properties M. Mäkynen et al.
41. Spaceborne GNSS Reflectometry K. Yu et al.
42. Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al.
43. Open-Ocean Polynyas in the Cooperation Sea, Antarctica Q. Qin et al.
44. The 2018 North Greenland polynya observed by a newly introduced merged optical and passive microwave sea-ice concentration dataset V. Ludwig et al.
45. Snow thickness retrieval from L-band brightness temperatures: a model comparison N. Maass et al.
46. Applications of Deep Learning-Based Super-Resolution Networks for AMSR2 Arctic Sea Ice Images T. Feng et al.
47. Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations N. Ivanova et al.
48. Phytoplankton blooms in the new Southern Ocean sea-ice regime T. Schlosser & P. Strutton
49. SMOS-derived Antarctic thin sea ice thickness: data description and validation in the Weddell Sea L. Kaleschke et al.
50. 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.
51. Estimation of ICESat-Equivalent Arctic winter sea ice thickness From AMSR-E brightness temperature data based on machine learning approach L. Liu et al.
52. The spatiotemporal patterns of sea ice in the Bohai Sea during the winter seasons of 2000–2016 L. Ouyang et al.
53. Observing Waves in Sea Ice With ICESat‐2 C. Horvat et al.
54. Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al.
55. 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.
56. New methodology to estimate Arctic sea ice concentration from SMOS combining brightness temperature differences in a maximum-likelihood estimator C. Gabarro et al.
57. Intensity of Level Ice Simulated with the CICE Model for Oil-Gas Exploitation in the Southern Kara Sea, Arctic C. Duan et al.
58. Retrieval of sea ice thickness from the reflected signal of a satellite navigation system W. Wang & Q. Gao
59. A new method for parameterization of wave dissipation by sea ice J. Yu et al.
60. Sea‐Ice Impacts Inter‐Annual Variability of Phytoplankton Bloom Characteristics and Carbon Export in the Weddell Sea I. Giddy et al.
61. Spectral attenuation of ocean waves in pack ice and its application in calibrating viscoelastic wave-in-ice models S. Cheng et al.
62. Assimilation of SMOS sea ice thickness in the regional ice prediction system M. Gupta et al.
63. Calibrating a Viscoelastic Sea Ice Model for Wave Propagation in the Arctic Fall Marginal Ice Zone S. Cheng et al.
64. Estimation of Daily Arctic Winter Sea Ice Thickness from Thermodynamic Parameters Using a Self-Attention Convolutional Neural Network Z. Liang et al.
65. Finely resolved along-track wave attenuation estimates in the Antarctic marginal ice zone from ICESat-2 J. Voermans et al.
66. Concept-driven extraction of the Antarctic marginal sea ice zone from remote sensing image time series X. Zhao et al.
67. Measurements of 540–1740 MHz Brightness Temperatures of Sea Ice During the Winter of the MOSAiC Campaign O. Demir et al.
68. Thin Ice Detection in the Barents and Kara Seas Using AMSR2 High-Frequency Radiometer Data M. Makynen & M. Simila
69. Weekly gridded Aquarius L-band radiometer/scatterometer observations and salinity retrievals over the polar regions – Part 2: Initial product analysis L. Brucker et al.
70. 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.
71. Southern Ocean polynyas in CMIP6 models M. Mohrmann et al.
72. Linking timescale-dependent Antarctic sea ice kinematic observations to ice thickness T. Tian et al.
73. Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice S. Gerland et al.
74. STDNet: Spatio-Temporal Decompose Network for Predicting Arctic Sea Ice Concentration X. Zhu et al.
75. 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.
76. Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images X. Zhang et al.
77. Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system J. Xie et al.
78. Step-by-Step Validation of Antarctic ASI AMSR-E Sea-Ice Concentrations by MODIS and an Aerial Image Q. Shi et al.
79. Arctic sea ice in transformation: A review of recent observed changes and impacts on biology and human activity W. Meier et al.
80. Combined SMAP–SMOS thin sea ice thickness retrieval C. Paţilea et al.
81. Southern Ocean sea ice concentration budgets of five ocean-sea ice reanalyses Y. Nie et al.
82. On the retrieval of sea-ice thickness using SMOS polarization differences M. GUPTA et al.
83. Assessment of Machine Learning-Driven Retrievals of Arctic Sea Ice Thickness from L-Band Radiometry Remote Sensing F. Hernández-Macià et al.
84. Effects of decimetre-scale surface roughness on L-band brightness temperature of sea ice M. Miernecki et al.
85. Validation of SMOS sea ice thickness retrieval in the northern Baltic Sea N. Maaß et al.
86. Comparison of Arctic Sea Ice Thickness from Satellites, Aircraft, and PIOMAS Data X. Wang et al.
87. Winter sea ice export from the Laptev Sea preconditions the local summer sea ice cover and fast ice decay P. Itkin & T. Krumpen
88. Arctic Thin Ice Detection Using AMSR2 and FY-3C MWRI Radiometer Data M. Mäkynen & M. Similä
89. An Arctic Sea Ice Thickness Inversion Method Based on Deep Learning Two-Branch Architecture and Multisource Remote Sensing Data Fusion R. Huang et al.
90. 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.
91. First results of the ARIEL L-band radiometer on the MOSAiC Arctic Expedition during the late summer and autumn period C. Gabarró et al.