222 citations as recorded by crossref.

1. Arctic sea ice variation in the Northwest Passage in 1979–2017 and its response to surface thermodynamics factors X. Shen et al. 10.1016/j.accre.2021.08.004
2. Sea surface height anomaly and geostrophic current velocity from altimetry measurements over the Arctic Ocean (2011–2020) F. Doglioni et al. 10.5194/essd-15-225-2023
3. 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
4. Satellite‐observed drop of Arctic sea ice growth in winter 2015–2016 R. Ricker et al. 10.1002/2016GL072244
5. 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
6. The state and fate of lake ice thickness in the Northern Hemisphere X. Li et al. 10.1016/j.scib.2021.10.015
7. Comparison of Freeboard Retrieval and Ice Thickness Calculation From ALS, ASIRAS, and CryoSat‐2 in the Norwegian Arctic to Field Measurements Made During the N‐ICE2015 Expedition J. King et al. 10.1002/2017JC013233
8. Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements K. Khvorostovsky et al. 10.3390/rs12183094
9. The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise S. Kern et al. 10.5194/tc-9-37-2015
10. Multi-peak Retracking of CryoSat-2 SARIn Waveforms Over Arctic Sea Ice A. Di Bella et al. 10.1109/TGRS.2020.3022522
11. 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
12. Recent advance in earth observation big data for hydrology L. Chen & L. Wang 10.1080/20964471.2018.1435072
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14. Arctic sea ice thickness retrievals from CryoSat-2: seasonal and interannual comparisons of three different products M. Li et al. 10.1080/01431161.2019.1637961
15. Machine learning based classification of lake ice and open water from Sentinel-3 SAR altimetry waveforms J. Mugunthan et al. 10.1016/j.rse.2023.113891
16. A scatterometer record of sea ice extents and backscatter: 1992–2016 M. Belmonte Rivas et al. 10.5194/tc-12-2941-2018
17. Evaluations of the Significant Wave Height Products of HY-2B Satellite Radar Altimeters Y. Jia et al. 10.1080/01490419.2020.1750513
18. Lead detection using Cryosat-2 delay-doppler processing and Sentinel-1 SAR images M. Passaro et al. 10.1016/j.asr.2017.07.011
19. 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
20. High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data A. Jutila et al. 10.1109/TGRS.2021.3063756
21. Assessment of radar freeboard, radar penetration rate, and snow depth for potential improvements in Arctic sea ice thickness retrieved from CryoSat-2 Y. Zhou et al. 10.1016/j.coldregions.2024.104408
22. 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
23. Validation of sea-ice thickness derived satellite altimeter Cryosat-2 SIRAL in the Arctic, and application to Southern Ocean S. HOSHINO et al. 10.5331/seppyo.80.4_297
24. Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance T. Kaminski et al. 10.5194/tc-12-2569-2018
25. Validation of CryoSat-2 SARIn Data over Austfonna Ice Cap Using Airborne Laser Scanner Measurements L. Sandberg Sørensen et al. 10.3390/rs10091354
26. Improving Arctic Sea-Ice Thickness Estimates with the Assimilation of CryoSat-2 Summer Observations C. Min et al. 10.34133/olar.0025
27. A Facet-Based Numerical Model for Simulating SAR Altimeter Echoes From Heterogeneous Sea Ice Surfaces J. Landy et al. 10.1109/TGRS.2018.2889763
28. Sea ice volume variability and water temperature in the Greenland Sea V. Selyuzhenok et al. 10.5194/tc-14-477-2020
29. A Mechanism for the Arctic Sea Ice Spring Predictability Barrier M. Bushuk et al. 10.1029/2020GL088335
30. Arctic Sea Ice Volume Changes in Terms of Age as Revealed From Satellite Observations H. Bi et al. 10.1109/JSTARS.2018.2823735
31. Inter-comparison of snow depth over Arctic sea ice from reanalysis reconstructions and satellite retrieval L. Zhou et al. 10.5194/tc-15-345-2021
32. Arctic Sea Ice Lead Detection from Chinese HY-2B Radar Altimeter Data W. Zhong et al. 10.3390/rs15020516
33. 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
34. 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
35. Detecting Sea Ice Leads and Floes in the Northwest Passage Using CryoSat-2 A. Swiggs et al. 10.1109/JSTARS.2024.3503286
36. 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
37. Satellite-derived sea ice export and its impact on Arctic ice mass balance R. Ricker et al. 10.5194/tc-12-3017-2018
38. Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory P. Itkin et al. 10.1525/elementa.2022.00048
39. Advances in altimetric snow depth estimates using bi-frequency SARAL and CryoSat-2 Ka–Ku measurements F. Garnier et al. 10.5194/tc-15-5483-2021
40. Sea ice conditions and navigability through the Northeast Passage in the past 40 years based on remote-sensing data M. Yu et al. 10.1080/17538947.2020.1860144
41. Water-volume variations of Lake Hulun estimated from serial Jason altimeters and Landsat TM/ETM+ images from 2002 to 2017 C. Yuan et al. 10.1080/01431161.2018.1516316
42. Impact of snow accumulation on CryoSat‐2 range retrievals over Arctic sea ice: An observational approach with buoy data R. Ricker et al. 10.1002/2015GL064081
43. 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
44. Version 1 of a sea ice module for the physics-based, detailed, multi-layer SNOWPACK model N. Wever et al. 10.5194/gmd-13-99-2020
45. Surface-based Ku- and Ka-band polarimetric radar for sea ice studies J. Stroeve et al. 10.5194/tc-14-4405-2020
46. Estimation of Sea Ice Thickness from SARAL/AltiKa in Drifting Orbit Phase P. Joshi et al. 10.1080/01490419.2020.1732507
47. Estimation of Arctic Sea Ice Thickness Using HY-2B Altimeter Data C. Pang et al. 10.3390/rs16234565
48. Comparison of Arctic sea ice thickness and snow depth estimates from CFSR with in situ observations K. Sato & J. Inoue 10.1007/s00382-017-3607-z
49. Analysis of Greenland mass changes based on GRACE four-dimensional wavelet decomposition O. Memarian Sorkhabi et al. 10.1080/2150704X.2021.1903608
50. 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
51. Effect of Snow Salinity on CryoSat‐2 Arctic First‐Year Sea Ice Freeboard Measurements V. Nandan et al. 10.1002/2017GL074506
52. Improving sea ice thickness estimates by assimilating CryoSat‐2 and SMOS sea ice thickness data simultaneously L. Mu et al. 10.1002/qj.3225
53. A New Retracking Algorithm for Retrieving Sea Ice Freeboard from CryoSat-2 Radar Altimeter Data during Winter–Spring Transition X. Shen et al. 10.3390/rs11101194
54. Synoptic Variability in Satellite Altimeter‐Derived Radar Freeboard of Arctic Sea Ice C. Nab et al. 10.1029/2022GL100696
55. Advancing Short‐Term Forecasts of Ice Conditions in the Beaufort Sea M. Yaremchuk et al. 10.1029/2018JC014581
56. Warm winter, thin ice? J. Stroeve et al. 10.5194/tc-12-1791-2018
57. Estimating differential penetration of green (532 nm) laser light over sea ice with NASA's Airborne Topographic Mapper: observations and models M. Studinger et al. 10.5194/tc-18-2625-2024
58. Discrimination of different sea ice types from CryoSat-2 satellite data using an Object-based Random Forest (ORF) S. Shu et al. 10.1080/01490419.2019.1671560
59. Comparison of CryoSat-2 and ENVISAT radar freeboard over Arctic sea ice: toward an improved Envisat freeboard retrieval K. Guerreiro et al. 10.5194/tc-11-2059-2017
60. Towards Operational Fiducial Reference Measurement (FRM) Data for the Calibration and Validation of the Sentinel-3 Surface Topography Mission over Inland Waters, Sea Ice, and Land Ice E. Da Silva et al. 10.3390/rs15194826
61. A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval J. Anheuser et al. 10.5194/tc-16-4403-2022
62. Airborne Investigation of Quasi-Specular Ku-Band Radar Scattering for Satellite Altimetry Over Snow-Covered Arctic Sea Ice C. De Rijke-Thomas et al. 10.1109/TGRS.2023.3318263
63. Inter-comparisons of Arctic snow depth products M. Li et al. 10.1080/17538947.2024.2376286
64. Linking scales of sea ice surface topography: evaluation of ICESat-2 measurements with coincident helicopter laser scanning during MOSAiC R. Ricker et al. 10.5194/tc-17-1411-2023
65. Copernicus Marine Service Ocean State Report K. von Schuckmann et al. 10.1080/1755876X.2018.1489208
66. Impact and Correction of Sea Ice, Snow, and Seawater Density on Arctic Sea-Ice Thickness Retrieval From Ku-Band SAR Altimeters X. Zhang et al. 10.1109/JMASS.2022.3212880
67. Anomalous collapses of Nares Strait ice arches leads to enhanced export of Arctic sea ice G. Moore et al. 10.1038/s41467-020-20314-w
68. Seasonal cycle and long-term trend of solar energy fluxes through Arctic sea ice S. Arndt & M. Nicolaus 10.5194/tc-8-2219-2014
69. Assessment of Arctic Sea Ice Thickness Estimates From ICESat-2 Using IceBird Airborne Measurements X. Shen et al. 10.1109/TGRS.2020.3022945
70. The Copernicus Global 1/12° Oceanic and Sea Ice GLORYS12 Reanalysis L. Jean-Michel et al. 10.3389/feart.2021.698876
71. Snow-driven uncertainty in CryoSat-2-derived Antarctic sea ice thickness – insights from McMurdo Sound D. Price et al. 10.5194/tc-13-1409-2019
72. Lead Detection in Polar Oceans—A Comparison of Different Classification Methods for Cryosat-2 SAR Data D. Dettmering et al. 10.3390/rs10081190
73. Assessing CryoSat‐2 Antarctic Snow Freeboard Retrievals Using Data From ICESat‐2 S. Fons et al. 10.1029/2021EA001728
74. Retrieval of Snow Depth on Arctic Sea Ice From Surface‐Based, Polarimetric, Dual‐Frequency Radar Altimetry R. Willatt et al. 10.1029/2023GL104461
75. New insight from CryoSat-2 sea ice thickness for sea ice modelling D. Schröder et al. 10.5194/tc-13-125-2019
76. Satellite altimetry detection of ice-shelf-influenced fast ice G. Brett et al. 10.5194/tc-15-4099-2021
77. Estimating instantaneous sea-ice dynamics from space using the bi-static radar measurements of Earth Explorer 10 candidate Harmony M. Kleinherenbrink et al. 10.5194/tc-15-3101-2021
78. 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
79. Snow depth estimation on leadless landfast ice using Cryo2Ice satellite observations M. Saha et al. 10.5194/tc-19-325-2025
80. CryoSat Ice Baseline-D validation and evolutions M. Meloni et al. 10.5194/tc-14-1889-2020
81. Increased Arctic sea ice volume after anomalously low melting in 2013 R. Tilling et al. 10.1038/ngeo2489
82. Improvement of Lake Ice Thickness Retrieval From MODIS Satellite Data Using a Thermodynamic Model H. Kheyrollah Pour et al. 10.1109/TGRS.2017.2718533
83. Variability of Arctic sea ice thickness and volume from CryoSat-2 R. Kwok & G. Cunningham 10.1098/rsta.2014.0157
84. Sea ice thickness in the Eastern Canadian Arctic: Hudson Bay Complex & Baffin Bay J. Landy et al. 10.1016/j.rse.2017.08.019
85. Regional distribution and variability of model-simulated Arctic snow on sea ice K. Castro-Morales et al. 10.1016/j.polar.2017.05.003
86. Improved 1D inversions for sea ice thickness and conductivity from electromagnetic induction data: Inclusion of nonlinearities caused by passive bucking P. Hunkeler et al. 10.1190/geo2015-0130.1
87. 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
88. Utilisation of CryoSat-2 SAR altimeter in operational ice charting E. Rinne & M. Similä 10.5194/tc-10-121-2016
89. SWOT and the ice-covered polar oceans: An exploratory analysis T. Armitage & R. Kwok 10.1016/j.asr.2019.07.006
90. 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
91. An Assessment of State‐of‐the‐Art Mean Sea Surface and Geoid Models of the Arctic Ocean: Implications for Sea Ice Freeboard Retrieval H. Skourup et al. 10.1002/2017JC013176
92. The Copernicus Polar Ice and Snow Topography Altimeter (CRISTAL) high-priority candidate mission M. Kern et al. 10.5194/tc-14-2235-2020
93. Retrievals of Lake Ice Thickness From Great Slave Lake and Great Bear Lake Using CryoSat-2 J. Beckers et al. 10.1109/TGRS.2017.2677583
94. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment A. Shah et al. 10.1080/16000870.2019.1697166
95. Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic V. Nandan et al. 10.1109/JSTARS.2020.2966432
96. Winter Snow Depth on Arctic Sea Ice From Satellite Radiometer Measurements (2003–2020): Regional Patterns and Trends S. Lee et al. 10.1029/2021GL094541
97. Assessment of contemporary satellite sea ice thickness products for Arctic sea ice H. Sallila et al. 10.5194/tc-13-1187-2019
98. Assessing three waveform retrackers on sea ice freeboard retrieval from Cryosat-2 using Operation IceBridge Airborne altimetry datasets W. Xia & H. Xie 10.1016/j.rse.2017.10.010
99. On retrieving sea ice freeboard from ICESat laser altimeter K. Khvorostovsky & P. Rampal 10.5194/tc-10-2329-2016
100. Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative S. Paul et al. 10.5194/tc-12-2437-2018
101. Snow Thickness Estimation on First-Year Sea Ice from Late Winter Spaceborne Scatterometer Backscatter Variance J. Yackel et al. 10.3390/rs11040417
102. Thin Arctic sea ice in L-band observations and an ocean reanalysis S. Tietsche et al. 10.5194/tc-12-2051-2018
103. Sea‐Ice Forecasts With an Upgraded AWI Coupled Prediction System L. Mu et al. 10.1029/2022MS003176
104. 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
105. A multi-frequency altimetry snow depth product over Arctic sea ice A. Carret et al. 10.1038/s41597-024-04343-4
106. On the effects of the timing of an intense cyclone on summertime sea-ice evolution in the Arctic Z. Tian et al. 10.1017/aog.2024.15
107. A Study of the Technology Used to Distinguish Sea Ice and Seawater on the Haiyang-2A/B (HY-2A/B) Altimeter Data C. Jiang et al. 10.3390/rs11121490
108. 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
109. On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses L. Ponsoni et al. 10.5194/tc-13-521-2019
110. Local-scale variability of snow density on Arctic sea ice J. King et al. 10.5194/tc-14-4323-2020
111. Thermodynamical and Dynamical Impacts of an Intense Cyclone on Arctic Sea Ice Z. Tian et al. 10.1029/2022JC018436
112. Recovering and monitoring the thickness, density, and elastic properties of sea ice from seismic noise recorded in Svalbard A. Serripierri et al. 10.5194/tc-16-2527-2022
113. Spatiotemporal Variability of Sea Ice in the Arctic's Last Ice Area G. Moore et al. 10.1029/2019GL083722
114. Arctic sea ice radar freeboard retrieval from the European Remote-Sensing Satellite (ERS-2) using altimetry: toward sea ice thickness observation from 1995 to 2021 M. Bocquet et al. 10.5194/tc-17-3013-2023
115. Assimilating CryoSat-2 freeboard to improve Arctic sea ice thickness estimates I. Sievers et al. 10.5194/tc-17-3721-2023
116. Lead Detection in the Arctic Ocean from Sentinel-3 Satellite Data: A Comprehensive Assessment of Thresholding and Machine Learning Classification Methods I. Bij de Vaate et al. 10.1080/01490419.2022.2089412
117. 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
118. Arctic Sea Ice Decline Preconditions Events of Anomalously Low Sea Ice Volume Export Through Fram Strait in the Early 21st Century Q. Wang et al. 10.1029/2020JC016607
119. Implications of climate change for shipping: Opening the Arctic seas A. Ng et al. 10.1002/wcc.507
120. Spatiotemporal variability and decadal trends of snowmelt processes on Antarctic sea ice observed by satellite scatterometers S. Arndt & C. Haas 10.5194/tc-13-1943-2019
121. 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
122. 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
123. 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
124. The Challenge of Arctic Sea Ice Thickness Prediction by ECMWF on Subseasonal Time Scales Y. Xiu et al. 10.1029/2021GL097476
125. Arctic Snow Depth, Ice Thickness, and Volume From ICESat‐2 and CryoSat‐2: 2018–2021 S. Kacimi & R. Kwok 10.1029/2021GL097448
126. Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system R. Allard et al. 10.1016/j.asr.2017.12.030
127. A decade-plus of Antarctic sea ice thickness and volume estimates from CryoSat-2 using a physical model and waveform fitting S. Fons et al. 10.5194/tc-17-2487-2023
128. Variability scaling and consistency in airborne and satellite altimetry measurements of Arctic sea ice S. Xu et al. 10.5194/tc-14-751-2020
129. Possibilities of investigating ice development of the Kara sea based on CryoSat-2 and SMOS data V. Kirillov et al. 10.30758/0555-2648-2023-69-1-10-28
130. The Impact of Geophysical Corrections on Sea-Ice Freeboard Retrieved from Satellite Altimetry R. Ricker et al. 10.3390/rs8040317
131. Pan‐Arctic sea ice‐algal chl a biomass and suitable habitat are largely underestimated for multiyear ice B. Lange et al. 10.1111/gcb.13742
132. 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
133. 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
134. Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al. 10.5194/os-19-1375-2023
135. Estimating snow depth over Arctic sea ice from calibrated dual-frequency radar freeboards I. Lawrence et al. 10.5194/tc-12-3551-2018
136. Estimation of Arctic Sea Ice Thickness from Chinese HY-2B Radar Altimetry Data M. Jiang et al. 10.3390/rs15051180
137. Validation of Sea-Ice Topographic Heights Derived From TanDEM-X Interferometric SAR Data With Results From Laser Profiler and Photogrammetry T. Yitayew et al. 10.1109/TGRS.2018.2839590
138. Evolving relationship of Nares Strait ice arches on sea ice along the Strait and the North Water, the Arctic’s most productive polynya G. Moore et al. 10.1038/s41598-023-36179-0
139. 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
140. The opening of the Transpolar Sea Route: Logistical, geopolitical, environmental, and socioeconomic impacts M. Bennett et al. 10.1016/j.marpol.2020.104178
141. Potential for estimation of snow depth on Arctic sea ice from CryoSat-2 and SARAL/AltiKa missions K. Guerreiro et al. 10.1016/j.rse.2016.07.013
142. Winter Coastal Divergence as a Predictor for the Minimum Sea Ice Extent in the Laptev Sea C. Brunette et al. 10.1175/JCLI-D-18-0169.1
143. Faster decline and higher variability in the sea ice thickness of the marginal Arctic seas when accounting for dynamic snow cover R. Mallett et al. 10.5194/tc-15-2429-2021
144. Simulated Ka- and Ku-band radar altimeter height and freeboard estimation on snow-covered Arctic sea ice R. Tonboe et al. 10.5194/tc-15-1811-2021
145. 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
146. Ensemble-based estimation of sea-ice volume variations in the Baffin Bay C. Min et al. 10.5194/tc-15-169-2021
147. Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020 F. Garnier et al. 10.3390/rs14194741
148. Contributions of growth and deformation to monthly variability in sea ice thickness north of the coasts of Greenland and the Canadian Arctic Archipelago R. Kwok & G. Cunningham 10.1002/2016GL069333
149. Retrieval of Antarctic sea ice freeboard and thickness from HY-2B satellite altimeter data Y. Chen et al. 10.1007/s13131-023-2250-2
150. 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
151. Feasibility of retrieving Arctic sea ice thickness from the Chinese HY-2B Ku-band radar altimeter Z. Dong et al. 10.5194/tc-17-1389-2023
152. Estimating Arctic Sea Ice Thickness with CryoSat-2 Altimetry Data Using the Least Squares Adjustment Method F. Xiao et al. 10.3390/s20247011
153. A Comparison of Factors That Led to the Extreme Sea Ice Minima in the Twenty-First Century in the Arctic Ocean X. Liang et al. 10.1175/JCLI-D-21-0199.1
154. 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
155. Arctic sea ice thickness variations from CryoSat-2 satellite altimetry data F. Xiao et al. 10.1007/s11430-020-9777-9
156. Estimation of Arctic Winter Snow Depth, Sea Ice Thickness and Bulk Density, and Ice Freeboard by Combining CryoSat-2, AVHRR, and AMSR Measurements H. Shi et al. 10.1109/TGRS.2023.3265274
157. Assessment of Arctic Sea Ice Classification Ability of Chinese HY-2B Dual-Band Radar Altimeter During Winter to Early Spring Conditions X. Zhang et al. 10.1109/JSTARS.2021.3114228
158. Two Decades of Arctic Sea-Ice Thickness from Satellite Altimeters: Retrieval Approaches and Record of Changes (2003–2023) S. Kacimi & R. Kwok 10.3390/rs16162983
159. Comparing elevation and backscatter retrievals from CryoSat-2 and ICESat-2 over Arctic summer sea ice G. Dawson & J. Landy 10.5194/tc-17-4165-2023
160. Year-round sea ice and snow characterization from combined passive and active microwave observations and radiative transfer modeling C. Soriot et al. 10.1016/j.rse.2022.113061
161. 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
162. Sensitivity of Radar Altimeter Waveform to Changes in Sea Ice Type at Resolution of Synthetic Aperture Radar W. Aldenhoff et al. 10.3390/rs11222602
163. A Preliminary Investigation of Arctic Sea Ice Negative Freeboard from in-situ Observations and Radar Altimetry S. Li et al. 10.1007/s11802-021-4380-5
164. Retrievals of Arctic Sea‐Ice Volume and Its Trend Significantly Affected by Interannual Snow Variability F. Bunzel et al. 10.1029/2018GL078867
165. Improving CryoSat-2 SARIn L1b Products to Account for Inaccurate Phase Difference: Impact on Sea Ice Freeboard Retrieval A. Di Bella et al. 10.1109/LGRS.2019.2919946
166. Arctic Snow Depth and Sea Ice Thickness From ICESat‐2 and CryoSat‐2 Freeboards: A First Examination R. Kwok et al. 10.1029/2019JC016008
167. Variability of Winter Snow Properties on Different Spatial Scales in the Weddell Sea S. Arndt & S. Paul 10.1029/2018JC014447
168. A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era J. Anheuser et al. 10.5194/tc-17-2871-2023
169. Arctic Sea Ice Thickness Estimation From Passive Microwave Satellite Observations Between 1.4 and 36 GHz C. Soriot et al. 10.1029/2022EA002542
170. Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data S. Zhang et al. 10.3390/rs13081414
171. Bohai Sea Ice Parameter Estimation Based on Thermodynamic Ice Model and Earth Observation Data J. Karvonen et al. 10.3390/rs9030234
172. Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system J. Xie et al. 10.5194/tc-10-2745-2016
173. An Attempt to Improve Snow Depth Retrieval Using Satellite Microwave Radiometry for Rough Antarctic Sea Ice S. Kern & B. Ozsoy 10.3390/rs11192323
174. 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
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