217 citations as recorded by crossref.

1. The impact of melt ponds on summertime microwave brightness temperatures and sea-ice concentrations S. Kern et al. 10.5194/tc-10-2217-2016
2. Multidecadal Arctic sea ice thickness and volume derived from ice age Y. Liu et al. 10.5194/tc-14-1325-2020
3. Evaluation of summer passive microwave sea ice concentrations in the Chukchi Sea based on KOMPSAT-5 SAR and numerical weather prediction data H. Han & H. Kim 10.1016/j.rse.2018.02.058
4. Snow Depth Retrieval on Arctic Sea Ice From Passive Microwave Radiometers—Improvements and Extensions to Multiyear Ice Using Lower Frequencies P. Rostosky et al. 10.1029/2018JC014028
5. Calibration of subseasonal sea‐ice forecasts using ensemble model output statistics and observational uncertainty A. Dirkson et al. 10.1002/qj.4332
6. 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
7. Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models S. Marchi et al. 10.1007/s00382-018-4292-2
8. Active/Passive Multiple Polarization Sea Ice Detection During Initial Freeze-Up M. Keller et al. 10.1109/TGRS.2020.3013512
9. Estimating Sea Ice Concentration From SAR: Training Convolutional Neural Networks With Passive Microwave Data C. Cooke & K. Scott 10.1109/TGRS.2019.2892723
10. Sea Ice Concentration Derived From FY-3D MWRI and Its Accuracy Assessment X. Zhao et al. 10.1109/TGRS.2021.3063272
11. Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool A. Lauer et al. 10.1016/j.rse.2017.01.007
12. Predicting Sea Ice Concentration With Uncertainty Quantification Using Passive Microwave and Reanalysis Data: A Case Study in Baffin Bay X. Chen et al. 10.1109/TGRS.2023.3250164
13. Winter arctic sea ice volume decline: uncertainties reduced using passive microwave-based sea ice thickness C. Soriot et al. 10.1038/s41598-024-70136-9
14. Optimal combination of Arctic sea ice extent measures: A dynamic factor modeling approach F. Diebold et al. 10.1016/j.ijforecast.2020.10.006
15. The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 2: Development and evaluation C. Burgard et al. 10.5194/tc-14-2387-2020
16. Reducing Weather Influences on an 89 GHz Sea Ice Concentration Algorithm in the Arctic Using Retrievals From an Optimal Estimation Method J. Lu et al. 10.1029/2019JC015912
17. Scaling observations of surface waves in the Beaufort Sea M. Smith et al. 10.12952/journal.elementa.000097
18. The phenology of Arctic Ocean surface warming M. Steele & S. Dickinson 10.1002/2016JC012089
19. Simulated Geophysical Noise in Sea Ice Concentration Estimates of Open Water and Snow-Covered Sea Ice R. Tonboe et al. 10.1109/JSTARS.2021.3134021
20. Headline Indicators for Global Climate Monitoring B. Trewin et al. 10.1175/BAMS-D-19-0196.1
21. 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
22. Sea ice concentration satellite retrievals influenced by surface changes due to warm air intrusions: A case study from the MOSAiC expedition J. Rückert et al. 10.1525/elementa.2023.00039
23. Exploring Marine Environments for the Identification of Extremophiles and Their Enzymes for Sustainable and Green Bioprocesses P. Di Donato et al. 10.3390/su11010149
24. Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F T. Williams et al. 10.5194/tc-15-3207-2021
25. Evaluation of Sea Ice Concentration Data Using Dual-Polarized Ratio Algorithm in Comparison With Other Satellite Passive Microwave Sea Ice Concentration Data Sets and Ship-Based Visual Observations F. Zong et al. 10.3389/fenvs.2022.856289
26. Ice Concentration Retrieval from the Analysis of Microwaves: A New Methodology Designed for the Copernicus Imaging Microwave Radiometer L. Kilic et al. 10.3390/rs12071060
27. Evaluation of a New Merged Sea-Ice Concentration Dataset at 1 km Resolution from Thermal Infrared and Passive Microwave Satellite Data in the Arctic V. Ludwig et al. 10.3390/rs12193183
28. The Contribution of Sea-Ice Contamination to Inaccuracies in Sea-Ice Concentration Retrieval from Satellite Microwave Radiometry Data during the Ice-Melt Period T. Alekseeva et al. 10.1134/S0001433822120039
29. Towards Daily Snow Depth Estimation on Arctic Sea Ice during the Whole Winter Season from Passive Microwave Radiometer Data L. He et al. 10.1109/TGRS.2024.3358340
30. Sea-ice thickness from field measurements in the northwestern Barents Sea J. King et al. 10.1002/2016JC012199
31. 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
32. Relevance of warm air intrusions for Arctic satellite sea ice concentration time series P. Rostosky & G. Spreen 10.5194/tc-17-3867-2023
33. A regional and seasonal approach to explain the observed trends in the Antarctic sea ice in recent decades L. Yu et al. 10.1002/joc.8010
34. 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
35. Ice Concentration Retrieval from the Analysis of Microwaves: Evaluation of a New Methodology Optimized for the Copernicus Imaging Microwave Radiometer C. Prigent et al. 10.3390/rs12101594
36. Sea Ice Concentration Products over Polar Regions with Chinese FY3C/MWRI Data L. Shi et al. 10.3390/rs13112174
37. Comparison of direct measurements of sea ice thickness and snow height, CryoSat-2 observations and PIOMAS numerical estimates V. Smolyanitsky et al. 10.30758/0555-2648-2020-66-3-337-348
38. Impact of Synthetic Arctic Argo-Type Floats in a Coupled Ocean–Sea Ice State Estimation Framework A. Nguyen et al. 10.1175/JTECH-D-19-0159.1
39. Comparisons of passive microwave remote sensing sea ice concentrations with ship-based visual observations during the CHINARE Arctic summer cruises of 2010–2018 Y. Xiu et al. 10.1007/s13131-020-1646-5
40. Improved Arctic sea-ice motion in summer from the brightness temperature of the AMSR2 36GHz channel Q. Shi et al. 10.1080/17538947.2024.2311317
41. Re-calibration of Arctic sea ice extent datasets using Arctic surface air temperature records R. Connolly et al. 10.1080/02626667.2017.1324974
42. 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
43. Examining Antarctic sea ice bias sensitivity in the multi-variate parameter space using a global coupled climate modelling system S. Schroeter & P. Sandery 10.1016/j.ocemod.2023.102313
44. Detection of marginal ice zone in Synthetic Aperture Radar imagery using curvelet-based features: a case study on the Canadian East Coast J. Liu et al. 10.1117/1.JRS.13.014505
45. Sensitivity of Passive Microwave Satellite Observations to Snow Density and Grain Size Over Arctic Sea Ice Y. Kwon et al. 10.1109/TGRS.2023.3322401
46. Antarctic sea ice change based on a new sea ice dataset from 1992 to 2008 L. He et al. 10.3354/cr01436
47. Accelerated sea ice loss in the Wandel Sea points to a change in the Arctic’s Last Ice Area A. Schweiger et al. 10.1038/s43247-021-00197-5
48. Impact of intermediate ice concentration training data on sea ice concentration estimates from a convolutional neural network Y. Xu & K. Scott 10.1080/01431161.2019.1582113
49. The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 1: How to obtain sea ice brightness temperatures at 6.9 GHz from climate model output C. Burgard et al. 10.5194/tc-14-2369-2020
50. The Arctic sea ice cover of 2016: a year of record-low highs and higher-than-expected lows A. Petty et al. 10.5194/tc-12-433-2018
51. The Copernicus Global 1/12° Oceanic and Sea Ice GLORYS12 Reanalysis L. Jean-Michel et al. 10.3389/feart.2021.698876
52. What Caused the Remarkable February 2018 North Greenland Polynya? G. Moore et al. 10.1029/2018GL080902
53. A Suitable Retrieval Algorithm of Arctic Snow Depths with AMSR-2 and Its Application to Sea Ice Thicknesses of Cryosat-2 Data Z. Dong et al. 10.3390/rs14041041
54. The NASA Eulerian Snow on Sea Ice Model (NESOSIM) v1.0: initial model development and analysis A. Petty et al. 10.5194/gmd-11-4577-2018
55. The Influence of Surface Sediment Presence on Observed Passive Microwave Brightness Temperatures of First-Year Sea Ice during the Summer Melt Period M. Harasyn et al. 10.1080/07038992.2019.1625759
56. The Arctic Cryosphere in the Twenty‐First Century R. Barry 10.1111/gere.12227
57. Consistent biases in Antarctic sea ice concentration simulated by climate models L. Roach et al. 10.5194/tc-12-365-2018
58. Intercomparison of Long-Term Sea Ice Concentration Remote Sensing Products in the Southern Ocean 佳. 李 10.12677/CCRL.2023.124085
59. Improving Met Office seasonal predictions of Arctic sea ice using assimilation of CryoSat-2 thickness E. Blockley & K. Peterson 10.5194/tc-12-3419-2018
60. Statistical characterization of the sea ice extent during different winter scenarios in the Gulf of Riga (Baltic Sea) using optical remote-sensing imagery L. Siitam et al. 10.1080/01431161.2016.1268734
61. Changing state of Arctic sea ice across all seasons J. Stroeve & D. Notz 10.1088/1748-9326/aade56
62. Changing surface radiation and energy budgets of the Hudson Bay Complex using the North American regional reanalysis (NARR) model R. Bello & K. Higuchi 10.1139/as-2018-0034
63. Assessment of AMSR2 Ice Extent and Ice Edge in the Arctic Using IMS Y. Liu et al. 10.3390/rs12101582
64. ACCESS-OM2 v1.0: a global ocean–sea ice model at three resolutions A. Kiss et al. 10.5194/gmd-13-401-2020
65. On the Synergy of SMAP and AMSR2 for Estimating Snow Depth on Arctic Sea Ice L. He et al. 10.1109/LGRS.2022.3188001
66. On the sensitivity of Antarctic sea ice model biases to atmospheric forcing uncertainties A. Barthélemy et al. 10.1007/s00382-017-3972-7
67. SMAP Salinity Retrievals near the Sea-Ice Edge Using Multi-Channel AMSR2 Brightness Temperatures T. Meissner & A. Manaster 10.3390/rs13245120
68. Probabilistic spatiotemporal seasonal sea ice presence forecasting using sequence-to-sequence learning and ERA5 data in the Hudson Bay region N. Asadi et al. 10.5194/tc-16-3753-2022
69. Fingerprint of COVID-19 in Arctic sea ice changes Z. Chen et al. 10.1016/j.scib.2021.06.009
70. Multi-scale observations of the co-evolution of sea ice thermophysical properties and microwave brightness temperatures during the summer melt period in Hudson Bay M. Harasyn et al. 10.1525/elementa.412
71. 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
72. Snow Loss Into Leads in Arctic Sea Ice: Minimal in Typical Wintertime Conditions, but High During a Warm and Windy Snowfall Event D. Clemens‐Sewall et al. 10.1029/2023GL102816
73. Intercalibration of AMSR2 NASA Team 2 Algorithm Sea Ice Concentrations With AMSR-E Slow Rotation Data W. Meier & A. Ivanoff 10.1109/JSTARS.2017.2719624
74. Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6 D. Docquier et al. 10.5194/tc-11-2829-2017
75. Sea-ice indicators of polar bear habitat H. Stern & K. Laidre 10.5194/tc-10-2027-2016
76. Covariance of Optimal Parameters of an Arctic Sea Ice–Ocean Model H. Sumata et al. 10.1175/MWR-D-18-0375.1
77. Arctic Sea Ice Volume Variability over 1901–2010: A Model-Based Reconstruction A. Schweiger et al. 10.1175/JCLI-D-19-0008.1
78. Retrieval of Summer Sea Ice Concentration in the Pacific Arctic Ocean from AMSR2 Observations and Numerical Weather Data Using Random Forest Regression H. Han et al. 10.3390/rs13122283
79. Temporal Means and Variability of Arctic Sea Ice Melt and Freeze Season Climate Indicators Using a Satellite Climate Data Record G. Peng et al. 10.3390/rs10091328
80. Sea Ice Extent Retrieval Using CSCAT 12.5 km Sampling Data L. Liu et al. 10.3390/rs16040700
81. Estimation of Sea Ice Concentration in the Arctic Using SARAL/AltiKa Data C. Thombson et al. 10.1109/TGRS.2023.3328786
82. Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals A. Wernecke et al. 10.5194/tc-18-2473-2024
83. The Trajectory Towards a Seasonally Ice-Free Arctic Ocean D. Notz & J. Stroeve 10.1007/s40641-018-0113-2
84. Trends, abrupt shifts and interannual variability of the Arctic Wintertime Seasonal Sea Ice from 1979 to 2019 G. Hao et al. 10.1017/aog.2020.68
85. Regional Geoengineering Using Tiny Glass Bubbles Would Accelerate the Loss of Arctic Sea Ice M. Webster & S. Warren 10.1029/2022EF002815
86. IceMap250—Automatic 250 m Sea Ice Extent Mapping Using MODIS Data C. Gignac et al. 10.3390/rs9010070
87. Satellite passive microwave sea-ice concentration data set intercomparison: closed ice and ship-based observations S. Kern et al. 10.5194/tc-13-3261-2019
88. Development of a sea-ice tank system for measuring microwave properties of sea ice M. Nakayama et al. 10.1017/jog.2024.6
89. Sea Ice Extent Detection in the Bohai Sea Using Sentinel-3 OLCI Data H. Su et al. 10.3390/rs11202436
90. Retrieval of Snow Depths on Arctic Sea Ice in the Cold Season from FY-3D/MWRI Data Q. Yin et al. 10.3390/rs16050821
91. Daily Sea Ice Concentration Product over Polar Regions Based on Brightness Temperature Data from the HY-2B SMR Sensor S. Wu et al. 10.3390/rs15061692
92. A review of recent changes in Southern Ocean sea ice, their drivers and forcings W. Hobbs et al. 10.1016/j.gloplacha.2016.06.008
93. Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data S. Kern et al. 10.5194/tc-16-349-2022
94. On the definition of the marginal ice zone: a case study with SAR and passive microwave data A. Soleymani et al. 10.1088/2515-7620/ad82b4
95. Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records T. Lavergne et al. 10.5194/tc-13-49-2019
96. Analysis of Sea-Ice Areas Undetectable by the ASI Algorithm Based on Satellite Microwave Radiometry in the Arctic Ocean T. Alekseeva et al. 10.1134/S0001433821120033
97. Using climate models to estimate the quality of global observational data sets F. Massonnet et al. 10.1126/science.aaf6369
98. Estimation of summer pan-Arctic ice draft from satellite passive microwave observations J. Kim et al. 10.1016/j.rse.2023.113662
99. Sea ice extents continue to set new records: Arctic, Antarctic, and global results C. Parkinson & N. DiGirolamo 10.1016/j.rse.2021.112753
100. Climate Models as Guidance for the Design of Observing Systems: the Case of Polar Climate and Sea Ice Prediction F. Massonnet 10.1007/s40641-019-00151-w
101. Improved Sea Ice Fraction Characterization for L-Band Observations by the Aquarius Radiometers E. Dinnat & L. Brucker 10.1109/TGRS.2016.2622011
102. Triple Collocation-Based Merging of Winter Snow Depth Retrievals on Arctic Sea Ice Derived From Three Different Algorithms Using AMSR2 L. He et al. 10.1109/TGRS.2023.3290073
103. Comparison of Passive Microwave Data with Shipborne Photographic Observations of Summer Sea Ice Concentration along an Arctic Cruise Path Q. Wang et al. 10.3390/rs11172009
104. Generation and Assessment of Daily Sea Ice Extent Images from SCATSAT-1 (2.25 km) Over Arctic M. Srigyan et al. 10.1007/s12524-023-01668-2
105. Daily sea ice concentration product based on brightness temperature data of FY-3D MWRI in the Arctic Y. Chen et al. 10.1080/20964471.2020.1865623
106. Wintertime Emissivities of the Arctic Sea Ice Types at the AMSR2 Frequencies E. Zabolotskikh & S. Azarov 10.3390/rs14235927
107. Assessing the Parameterization of RADARSAT-2 Dual-polarized ScanSAR Scenes on the Accuracy of a Convolutional Neural Network for Sea Ice Classification: Case Study over Coronation Gulf, Canada B. Montpetit et al. 10.1080/07038992.2023.2247091
108. Collecting Empirically Derived SAR Characteristic Values over One Year of Sea Ice Environments for Use in Data Assimilation L. Pogson et al. 10.1175/MWR-D-16-0110.1
109. Thin Arctic sea ice in L-band observations and an ocean reanalysis S. Tietsche et al. 10.5194/tc-12-2051-2018
110. The Antarctic Marginal Ice Zone and Pack Ice Area in CMEMS GREP Ensemble Reanalysis Product D. Iovino et al. 10.3389/feart.2022.745274
111. An Ensemble Machine Learning Approach for Sea Ice Monitoring Using CFOSAT/SCAT Data Y. Luo et al. 10.3390/rs16173148
112. Arctic Thin Ice Detection Using AMSR2 and FY-3C MWRI Radiometer Data M. Mäkynen & M. Similä 10.3390/rs16091600
113. Understanding the Seasonal Cycle of Antarctic Sea Ice Extent in the Context of Longer‐Term Variability C. Eayrs et al. 10.1029/2018RG000631
114. Seasonal transition dates can reveal biases in Arctic sea ice simulations A. Smith et al. 10.5194/tc-14-2977-2020
115. Supplementing Remote Sensing of Ice: Deep Learning-Based Image Segmentation System for Automatic Detection and Localization of Sea-ice Formations From Close-Range Optical Images N. Panchi et al. 10.1109/JSEN.2021.3084556
116. Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. 10.1007/s10712-023-09781-0
117. Satellite Remote Sensing of Snow Depth on Antarctic Sea Ice: An Inter-Comparison of Two Empirical Approaches S. Kern & B. Ozsoy-Çiçek 10.3390/rs8060450
118. Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data J. Rusin et al. 10.1017/aog.2024.6
119. Sea Ice Concentration Estimation: Using Passive Microwave and SAR Data With a U-Net and Curriculum Learning K. Radhakrishnan et al. 10.1109/JSTARS.2021.3076109
120. Evidence for ice-ocean albedo feedback in the Arctic Ocean shifting to a seasonal ice zone H. Kashiwase et al. 10.1038/s41598-017-08467-z
121. Evaluation of the AMSR2 Ice Extent at the Arctic Sea Ice Edge Using an SAR-Based Ice Extent Product Y. Sun et al. 10.1109/TGRS.2023.3281594
122. Consistent Comparison of Remotely Sensed Sea Ice Concentration Products with ERA-Interim Reanalysis Data in Polar Regions S. Liang et al. 10.3390/rs12182880
123. The effects of assimilating a sub-grid-scale sea ice thickness distribution in a new Arctic sea ice data assimilation system N. Williams et al. 10.5194/tc-17-2509-2023
124. Sea and Freshwater Ice Concentration from VIIRS on Suomi NPP and the Future JPSS Satellites Y. Liu et al. 10.3390/rs8060523
125. A new sea ice concentration product in the polar regions derived from the FengYun-3 MWRI sensors Y. Chen et al. 10.5194/essd-15-3223-2023
126. Comparison of Arctic Sea Ice Concentrations from the NASA Team, ASI, and VASIA2 Algorithms with Summer and Winter Ship Data T. Alekseeva et al. 10.3390/rs11212481
127. A scatterometer record of sea ice extents and backscatter: 1992–2016 M. Belmonte Rivas et al. 10.5194/tc-12-2941-2018
128. Spectral linear mixing model applied to data from passive microwave radiometers for sea ice mapping in the Antarctic Peninsula F. Hillebrand et al. 10.1080/10106049.2020.1856194
129. A Database of Weekly Sea Ice Parcel Tracks Derived from Lagrangian Motion Data with Ancillary Data Products M. Tooth & M. Tschudi 10.3390/data2030025
130. Satellite passive microwave sea-ice concentration data set inter-comparison for Arctic summer conditions S. Kern et al. 10.5194/tc-14-2469-2020
131. Seasonal to decadal predictions of regional Arctic sea ice by assimilating sea surface temperature in the Norwegian Climate Prediction Model P. Dai et al. 10.1007/s00382-020-05196-4
132. Combined SMAP–SMOS thin sea ice thickness retrieval C. Paţilea et al. 10.5194/tc-13-675-2019
133. Evaluation of Summertime Passive Microwave and Reanalysis Sea‐Ice Concentration in the Central Arctic K. Song & P. Minnett 10.1029/2023EA003214
134. Rain on snow (ROS) understudied in sea ice remote sensing: a multi-sensor analysis of ROS during MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) J. Stroeve et al. 10.5194/tc-16-4223-2022
135. The influence of heavy shipping traffic on the structure and dynamics of sea ice in the southwestern Kara Sea T. Alekseeva et al. 10.30758/05552648-2024-70-3-323-337
136. The Arctic Amplification and Its Impact: A Synthesis through Satellite Observations I. Esau et al. 10.3390/rs15051354
137. Arctic Sea Ice Concentration Assimilation in an Operational Global 1/10° Ocean Forecast System Q. Shao et al. 10.3390/rs15051274
138. 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
139. Delay in Arctic Sea Ice Freeze-Up Linked to Early Summer Sea Ice Loss: Evidence from Satellite Observations L. Zheng et al. 10.3390/rs13112162
140. Observed Concentration Budgets of Arctic and Antarctic Sea Ice P. Holland & N. Kimura 10.1175/JCLI-D-16-0121.1
141. A new sea ice concentration retrieval algorithm from thermal infrared imagery Y. Ye et al. 10.1080/17538947.2024.2353116
142. Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
143. 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
144. Community review of Southern Ocean satellite data needs A. Pope et al. 10.1017/S0954102016000390
145. Effect of Antarctic sea ice on chlorophyll concentration in the Southern Ocean N. Behera et al. 10.1016/j.dsr2.2020.104853
146. Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013 J. Xie et al. 10.5194/os-13-123-2017
147. Investigating Arctic Sea Ice Survivability in the Beaufort Sea M. Tooth & M. Tschudi 10.3390/rs10020267
148. Arctic and Antarctic Sea Ice Change: Contrasts, Commonalities, and Causes T. Maksym 10.1146/annurev-marine-010816-060610
149. Deep learning based retrieval algorithm for Arctic sea ice concentration from AMSR2 passive microwave and MODIS optical data J. Chi et al. 10.1016/j.rse.2019.05.023
150. First results of Antarctic sea ice type retrieval from active and passive microwave remote sensing data C. Melsheimer et al. 10.5194/tc-17-105-2023
151. Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts duringXuelong's first trans-Arctic Passage in summer 2017 L. Mu et al. 10.1017/jog.2019.55
152. Atmospheric Correction of Sea Ice Concentration Retrieval for 89 GHz AMSR-E Observations J. Lu et al. 10.1109/JSTARS.2018.2805193
153. Comparison of Satellite Microwave and Visual Shipborne Data on Sea Ice Concentration T. Alekseeva et al. 10.1134/S0001433819090032
154. Copernicus Ocean State Report, issue 6 10.1080/1755876X.2022.2095169
155. The CMIP6 Sea-Ice Model Intercomparison Project (SIMIP): understanding sea ice through climate-model simulations D. Notz et al. 10.5194/gmd-9-3427-2016
156. Extended Categorical Triple Collocation for Evaluating Sea Ice/Open Water Data Sets K. Scott 10.1109/LGRS.2020.2990332
157. 2014 summer Arctic sea ice thickness and concentration from shipborne observations Q. Wang et al. 10.1080/17538947.2017.1421720
158. Inter-Comparison of Satellite-Based Sea Ice Concentration in the Amundsen Sea, Antarctica X. Li & H. He 10.3390/rs15245695
159. Thin Ice Detection in the Barents and Kara Seas Using AMSR2 High-Frequency Radiometer Data M. Makynen & M. Simila 10.1109/TGRS.2019.2913283
160. Estimation of Atmospheric Microwave Radiation Parameters Over the Arctic Sea Ice From the AMSR2 Data E. Zabolotskikh & B. Chapron 10.1109/TGRS.2024.3392369
161. Influence of New Parameterization Schemes on Arctic Sea Ice Simulation Y. Lu et al. 10.3390/jmse12040555
162. Snow depth product over Antarctic sea ice from 2002 to 2020 using multisource passive microwave radiometers X. Shen et al. 10.5194/essd-14-619-2022
163. Numerical investigation of the Arctic ice–ocean boundary layer and implications for air–sea gas fluxes A. Bigdeli et al. 10.5194/os-13-61-2017
164. Satellite-retrieved sea ice concentration uncertainty and its effect on modelling wave evolution in marginal ice zones T. Nose et al. 10.5194/tc-14-2029-2020
165. Understanding sources of Northern Hemisphere uncertainty and forecast error in a medium‐range coupled ensemble sea‐ice prediction system K. Peterson et al. 10.1002/qj.4340
166. Global Multisensor Automated satellite-based Snow and Ice Mapping System (GMASI) for cryosphere monitoring P. Romanov 10.1016/j.rse.2017.04.023
167. Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model M. Durán Moro et al. 10.5194/tc-18-1597-2024
168. Selection of the Key Earth Observation Sensors and Platforms Focusing on Applications for Polar Regions in the Scope of Copernicus System 2020–2030 E. Lancheros et al. 10.3390/rs11020175
169. Assessing uncertainties in sea ice extent climate indicators W. Meier & J. Stewart 10.1088/1748-9326/aaf52c
170. Passive Microwave Sea Ice Edge Displacement Error over the Eastern Canadian Arctic for the period 2013-2021 A. Soleymani et al. 10.1080/07038992.2023.2205531
171. Mapping and assessing variability in the Antarctic marginal ice zone, pack ice and coastal polynyas in two sea ice algorithms with implications on breeding success of snow petrels J. Stroeve et al. 10.5194/tc-10-1823-2016
172. The EUMETSAT sea ice concentration climate data record R. Tonboe et al. 10.5194/tc-10-2275-2016
173. 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
174. Review of Methods to Retrieve Sea-Ice Parameters from Satellite Microwave Radiometer Data E. Zabolotskikh 10.1134/S0001433818060166
175. Examining the Consistency of Sea Surface Temperature and Sea Ice Concentration in Arctic Satellite Products S. Castro et al. 10.3390/rs15112908
176. Multiple-Scale Variations of Sea Ice and Ocean Circulation in the Bering Sea Using Remote Sensing Observations and Numerical Modeling C. Dong et al. 10.3390/rs11121484
177. Retrieval of daily sea ice thickness from AMSR2 passive microwave data using ensemble convolutional neural networks J. Chi & H. Kim 10.1080/15481603.2021.1943213
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