159 citations as recorded by crossref.

1. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al.
2. Snow depth on Arctic sea ice from historical in situ data E. Shalina & S. Sandven
3. Thin Arctic sea ice in L-band observations and an ocean reanalysis S. Tietsche et al.
4. Insights on Sea Ice Data Assimilation from Perfect Model Observing System Simulation Experiments Y. Zhang et al.
5. Record Arctic Cyclone of January 2022: Characteristics, Impacts, and Predictability E. Blanchard‐Wrigglesworth et al.
6. 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
7. Improving Arctic sea ice seasonal outlook by ensemble prediction using an ice-ocean model Q. Yang et al.
8. The spatiotemporal patterns of sea ice in the Bohai Sea during the winter seasons of 2000–2016 L. Ouyang et al.
9. 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. An improved regional coupled modeling system for Arctic sea ice simulation and prediction: a case study for 2018 C. Yang et al.
11. Estimation of ICESat-Equivalent Arctic winter sea ice thickness From AMSR-E brightness temperature data based on machine learning approach L. Liu et al.
12. Sea ice export through the Fram Strait derived from a combined model and satellite data set C. Min et al.
13. Spaceborne GNSS Reflectometry K. Yu et al.
14. Advancing Polar Prediction Capabilities on Daily to Seasonal Time Scales T. Jung et al.
15. C- and L-band SAR signatures of Arctic sea ice during freeze-up M. Mahmud et al.
16. Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013 J. Xie et al.
17. 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.
18. Antarctic Sea-Ice Thickness Retrieval from ICESat: Inter-Comparison of Different Approaches S. Kern et al.
19. Satellite‐observed drop of Arctic sea ice growth in winter 2015–2016 R. Ricker et al.
20. The Challenge of Arctic Sea Ice Thickness Prediction by ECMWF on Subseasonal Time Scales Y. Xiu et al.
21. Improving sea ice thickness estimates by assimilating CryoSat‐2 and SMOS sea ice thickness data simultaneously L. Mu et al.
22. Snow wetness and density retrieved from L-band satellite radiometer observations over a site in the West Greenland ablation zone D. Houtz et al.
23. Estimating Arctic sea ice thickness from satellite-based ice history N. Kimura & H. Hasumi
24. Seasonal Variability of Sea Ice Bulk Density During the MOSAiC Expedition: Results From Synergistic In Situ, Airborne, and Satellite Observations Y. Zhou et al.
25. Using Sea Surface Temperature Observations to Constrain Upper Ocean Properties in an Arctic Sea Ice‐Ocean Data Assimilation System X. Liang et al.
26. SMOS-derived Antarctic thin sea ice thickness: data description and validation in the Weddell Sea L. Kaleschke et al.
27. Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts duringXuelong's first trans-Arctic Passage in summer 2017 L. Mu et al.
28. Dynamic Preconditioning of the Minimum September Sea-Ice Extent J. Williams et al.
29. Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models F. Richter et al.
30. Employment of an Arctic sea-ice data assimilation scheme in the coupled climate system model FGOALS-f3-L and its preliminary results Y. Guo et al.
31. An Arctic sea ice multi-step classification based on GNSS-R data from the TDS-1 mission N. Rodriguez-Alvarez et al.
32. 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.
33. Comparison of Arctic Sea Ice Thickness from Satellites, Aircraft, and PIOMAS Data X. Wang et al.
34. Arctic sea ice in the global eddy-permitting ocean reanalysis ORAP5 S. Tietsche et al.
35. Arctic Thin Ice Detection Using AMSR2 and FY-3C MWRI Radiometer Data M. Mäkynen & M. Similä
36. A Spatiotemporal Comparison and Assessment of Multisource Satellite Derived Sea Ice Thickness in the Arctic Thinner Ice Region Y. Zhang et al.
37. Assessment of Machine Learning-Driven Retrievals of Arctic Sea Ice Thickness from L-Band Radiometry Remote Sensing F. Hernández-Macià et al.
38. Assimilation of SMOS sea ice thickness in the regional ice prediction system M. Gupta et al.
39. Lead detection in Arctic sea ice from CryoSat-2: quality assessment, lead area fraction and width distribution A. Wernecke & L. Kaleschke
40. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment A. Shah et al.
41. 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.
42. The Arctic Sea Ice Thickness Change in CMIP6’s Historical Simulations L. Chen et al.
43. Sea Ice Thickness Retrieval Based on GOCI Remote Sensing Data: A Case Study F. Gu et al.
44. Retrieval of sea ice thickness using FY-3E/GNOS-II data Y. Xie & Q. Yan
45. Improved Sea Ice Fraction Characterization for L-Band Observations by the Aquarius Radiometers E. Dinnat & L. Brucker
46. Transiting consolidated ice strongly influenced polynya area during a shrink event in Terra Nova Bay in 2013 Y. Lin et al.
47. Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3 T. Tian et al.
48. Copernicus Marine Service Ocean State Report K. von Schuckmann et al.
49. Remote Sensing of Sea Surface Salinity: Comparison of Satellite and In Situ Observations and Impact of Retrieval Parameters E. Dinnat et al.
50. Parameterization, sensitivity, and uncertainty of 1-D thermodynamic thin-ice thickness retrieval T. Zhang et al.
51. Bias correction of Arctic sea ice thickness products based on factor selection and machine learning methods H. Wu et al.
52. A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data R. Ricker et al.
53. Assessing the current and future Arctic Ocean observing system with observing system simulating experiments G. Lyu et al.
54. Estimation of summer pan-Arctic ice draft from satellite passive microwave observations J. Kim et al.
55. Retrieval of Sea Ice Concentration and Thickness During the Arctic Freezing Period from Tianmu-1 Based on Machine Learning X. Xu et al.
56. Winter sea ice export from the Laptev Sea preconditions the local summer sea ice cover and fast ice decay P. Itkin & T. Krumpen
57. 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.
58. Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al.
59. Weddell Sea polynya analysis using SMOS–SMAP apparent sea ice thickness retrieval A. Mchedlishvili et al.
60. 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.
61. Thermodynamical and Dynamical Impacts of an Intense Cyclone on Arctic Sea Ice Z. Tian et al.
62. On the effects of the timing of an intense cyclone on summertime sea-ice evolution in the Arctic Z. Tian et al.
63. Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al.
64. Year-round impact of winter sea ice thickness observations on seasonal forecasts B. Balan-Sarojini et al.
65. Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al.
66. Studies of Sea-Ice Thickness and Salinity Retrieval Using 0.5–2 GHz Microwave Radiometry O. Demir et al.
67. Navigability of the Northern Sea Route for Arc7 ice-class vessels during winter and spring sea-ice conditions S. CHEN et al.
68. Estimation of Thin-Ice Thickness and Discrimination of Ice Type From AMSR-E Passive Microwave Data K. Nakata et al.
69. Assessment of contemporary satellite sea ice thickness products for Arctic sea ice H. Sallila et al.
70. Sea ice thickness in the Eastern Canadian Arctic: Hudson Bay Complex & Baffin Bay J. Landy et al.
71. Improving L-band radiation model and representation of small-scale variability to simulate brightness temperature of sea ice L. Zhou et al.
72. Combined SMAP–SMOS thin sea ice thickness retrieval C. Paţilea et al.
73. Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images X. Zhang et al.
74. A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval J. Anheuser et al.
75. Estimation of Daily Arctic Winter Sea Ice Thickness from Thermodynamic Parameters Using a Self-Attention Convolutional Neural Network Z. Liang et al.
76. 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.
77. Thin Ice Detection in the Barents and Kara Seas Using AMSR2 High-Frequency Radiometer Data M. Makynen & M. Simila
78. Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice S. Gerland et al.
79. 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.
80. Daily Arctic first-year sea ice thickness observed by China’s GNSS-R satellite constellation Y. Li et al.
81. On the retrieval of sea ice thickness and snow depth using concurrent laser altimetry and L-band remote sensing data L. Zhou et al.
82. Early Winter Triggering of the Maud Rise Polynya L. Zhou et al.
83. AMSR2 Thin Ice Detection Algorithm for the Arctic Winter Conditions M. Makynen & M. Simila
84. Sea‐Ice Forecasts With an Upgraded AWI Coupled Prediction System L. Mu et al.
85. Retrieving Sea Level and Freeboard in the Arctic: A Review of Current Radar Altimetry Methodologies and Future Perspectives G. Quartly et al.
86. Retrieval of sea ice thickness from FY-3E data using Random Forest method H. Li et al.
87. Evaluation and fusion of multi-source sea ice thickness products with limited in-situ observations T. Li et al.
88. Reconstructing Pre-SMAP Archives of Polarized Brightness Temperatures in Arctic Sea Ice Leveraging ResNet-Based Conditional GANs S. Jo et al.
89. Ice Sheet and Sea Ice Ultrawideband Microwave radiometric Airborne eXperiment (ISSIUMAX) in Antarctica: first results from Terra Nova Bay M. Brogioni et al.
90. 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.
91. Improvement of Lake Ice Thickness Retrieval From MODIS Satellite Data Using a Thermodynamic Model H. Kheyrollah Pour et al.
92. 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.
93. Impacts of Assimilating Satellite Sea Ice Concentration and Thickness on Arctic Sea Ice Prediction in the NCEP Climate Forecast System Z. Chen et al.
94. Toward Quantifying the Increasing Accessibility of the Arctic Northeast Passage in the Past Four Decades C. Min et al.
95. Drift-aware sea ice thickness maps from satellite remote sensing R. Ricker et al.
96. Snow thickness retrieval from L-band brightness temperatures: a model comparison N. Maass et al.
97. Advancing Short‐Term Forecasts of Ice Conditions in the Beaufort Sea M. Yaremchuk et al.
98. Optimal localization radius of data assimilation for Arctic sea ice initialization using CICE5/DART J. Kim et al.
99. Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal Summer J. Lee et al.
100. Comparison between a multi-variate nudging method and the ensemble Kalman filter for sea-ice data assimilation S. FRITZNER et al.
101. 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.
102. Effects of decimetre-scale surface roughness on L-band brightness temperature of sea ice M. Miernecki et al.
103. A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season J. Stroeve et al.
104. 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.
105. Daily Prediction of Sea Ice Drift at Kilometer-Scale Using Deep-Learning Method J. Ren et al.
106. Arctic sea ice volume export through the Fram Strait: variation and its effect factors H. Li et al.
107. Intercomparisons and Evaluations of Satellite-Derived Arctic Sea Ice Thickness Products F. Chen et al.
108. 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.
109. Four-dimensional variational data assimilation with a sea-ice thickness emulator C. Durand et al.
110. An exemplary case of a bromine explosion event linked to cyclone development in the Arctic A. Blechschmidt et al.
111. Ensemble-based estimation of sea-ice volume variations in the Baffin Bay C. Min et al.
112. Estimates of Sea Ice Mechanical Properties in the Kara Sea C. Duan et al.
113. Antarctic Landfast Sea Ice: A Review of Its Physics, Biogeochemistry and Ecology A. Fraser et al.
114. Soil Moisture and Sea Surface Salinity Derived from Satellite-Borne Sensors J. Boutin et al.
115. Estimating thin ice thickness around Svalbard using MODIS satellite imagery Ø. Rudjord et al.
116. First results of the ARIEL L-band radiometer on the MOSAiC Arctic Expedition during the late summer and autumn period C. Gabarró et al.
117. Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat‐2 Sea Ice Thickness Observations Y. Zhang et al.
118. 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.
119. 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.
120. Impact of satellite thickness data assimilation on bias reduction in Arctic sea ice concentration J. Lee & Y. Ham
121. Ocean Remote Sensing Using Spaceborne GNSS-Reflectometry: A Review J. Bu et al.
122. ESA's Soil Moisture and Ocean Salinity mission: From science to operational applications S. Mecklenburg et al.
123. Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis J. Xie et al.
124. Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4 Y. Xiu et al.
125. 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.
126. Validation of SMOS sea ice thickness retrieval in the northern Baltic Sea N. Maaß et al.
127. SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone L. Kaleschke et al.
128. Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system J. Xie et al.
129. A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era J. Anheuser et al.
130. Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al.
131. Evaluation of the ArcIOPS sea ice forecasts during 2021–2023 X. Liang et al.
132. On the retrieval of sea-ice thickness using SMOS polarization differences M. GUPTA et al.
133. Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission C. Herbert et al.
134. Multidecadal Arctic sea ice thickness and volume derived from ice age Y. Liu et al.
135. Baltic sea ice thickness estimation based on X-band SAR data and background information J. Karvonen & B. Cheng
136. Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al.
137. Satellite-Based Data Assimilation System for the Initialization of Arctic Sea Ice Concentration and Thickness Using CICE5 J. Lee & Y. Ham
138. Winter arctic sea ice volume decline: uncertainties reduced using passive microwave-based sea ice thickness C. Soriot et al.
139. A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications A. Schmitt & L. Kaleschke
140. Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean–sea ice modelling system S. Fritzner et al.
141. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review G. Balsamo et al.
142. Evaluation of Arctic Sea Ice Thickness from a Parameter-Optimized Arctic Sea Ice–Ocean Model Q. Zhang et al.
143. Statistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations L. Ponsoni et al.
144. Theoretical study of ice cover phenology at large freshwater lakes based on SMOS MIRAS data V. Tikhonov et al.
145. Impacts on sea ice analyses from the assumption of uncorrelated ice thickness observation errors: Experiments using a 1D toy model G. Stonebridge et al.
146. Effect of Snow Salinity on CryoSat‐2 Arctic First‐Year Sea Ice Freeboard Measurements V. Nandan et al.
147. Assessment with Controlled In-Situ Data of the Dependence of L-Band Radiometry on Sea-Ice Thickness P. Sánchez-Gámez et al.
148. Monitoring Arctic thin ice: a comparison between CryoSat-2 SAR altimetry data and MODIS thermal-infrared imagery F. Müller et al.
149. GNSS-R Sea Ice Thickness Retrieval Based on Ensemble Learning Method Y. Hu et al.
150. Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products H. Li et al.
151. DASSO: a data assimilation system for the Southern Ocean that utilizes both sea-ice concentration and thickness observations H. Luo et al.
152. Measurements of 540–1740 MHz Brightness Temperatures of Sea Ice During the Winter of the MOSAiC Campaign O. Demir et al.
153. Improving Arctic Sea-Ice Thickness Estimates with the Assimilation of CryoSat-2 Summer Observations C. Min et al.
154. Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST S. Prasad et al.
155. Satellite-based sea ice thickness changes in the Laptev Sea from 2002 to 2017: comparison to mooring observations H. Belter et al.
156. 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.
157. Multisensor data fusion of operational sea ice observations K. Wang et al.
158. Arctic Sea Ice Thickness Estimation From Passive Microwave Satellite Observations Between 1.4 and 36 GHz C. Soriot et al.
159. Possibilities of investigating ice development of the Kara sea based on CryoSat-2 and SMOS data V. Kirillov et al.