Articles | Volume 8, issue 4
https://doi.org/10.5194/tc-8-1607-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-8-1607-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Aug 2014
Research article |
| 28 Aug 2014
Sensitivity of CryoSat-2 Arctic sea-ice freeboard and thickness on radar-waveform interpretation
R. Ricker
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
S. Hendricks
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
H. Skourup
DTU Space, Copenhagen, Denmark
M. Davidson
ESA (ESTEC), Noordwijk, the Netherlands
Viewed
Total article views: 55,337 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Apr 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 6,637 | 48,212 | 488 | 55,337 | 441 | 543 |
- HTML: 6,637
- PDF: 48,212
- XML: 488
- Total: 55,337
- BibTeX: 441
- EndNote: 543
Total article views: 10,573 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Aug 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 5,924 | 4,198 | 451 | 10,573 | 424 | 534 |
- HTML: 5,924
- PDF: 4,198
- XML: 451
- Total: 10,573
- BibTeX: 424
- EndNote: 534
Total article views: 44,764 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Apr 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 713 | 44,014 | 37 | 44,764 | 17 | 9 |
- HTML: 713
- PDF: 44,014
- XML: 37
- Total: 44,764
- BibTeX: 17
- EndNote: 9
Cited
242 citations as recorded by crossref.
- Arctic sea ice variation in the Northwest Passage in 1979–2017 and its response to surface thermodynamics factors X. Shen et al. https://doi.org/10.1016/j.accre.2021.08.004
- Retrieval of Sea Ice Concentration and Thickness During the Arctic Freezing Period from Tianmu-1 Based on Machine Learning X. Xu et al. https://doi.org/10.3390/rs18020237
- Sea surface height anomaly and geostrophic current velocity from altimetry measurements over the Arctic Ocean (2011–2020) F. Doglioni et al. https://doi.org/10.5194/essd-15-225-2023
- Snow effects on altimeter waveforms over sea ice in the Weddell Sea - Part II: sea ice and snow spaceborne retrieval L. Zhou et al. https://doi.org/10.1016/j.rse.2026.115360
- Satellite Remote Sensing of Snow Depth on Antarctic Sea Ice: An Inter-Comparison of Two Empirical Approaches S. Kern & B. Ozsoy-Çiçek https://doi.org/10.3390/rs8060450
- Satellite‐observed drop of Arctic sea ice growth in winter 2015–2016 R. Ricker et al. https://doi.org/10.1002/2016GL072244
- Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis J. Xie et al. https://doi.org/10.5194/tc-12-3671-2018
- The state and fate of lake ice thickness in the Northern Hemisphere X. Li et al. https://doi.org/10.1016/j.scib.2021.10.015
- 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. https://doi.org/10.1002/2017JC013233
- Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements K. Khvorostovsky et al. https://doi.org/10.3390/rs12183094
- 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. https://doi.org/10.5194/tc-9-37-2015
- Multi-peak Retracking of CryoSat-2 SARIn Waveforms Over Arctic Sea Ice A. Di Bella et al. https://doi.org/10.1109/TGRS.2020.3022522
- Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission C. Herbert et al. https://doi.org/10.3390/rs13071366
- Recent advance in earth observation big data for hydrology L. Chen & L. Wang https://doi.org/10.1080/20964471.2018.1435072
- Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products H. Li et al. https://doi.org/10.3390/rs17101680
- Record winter winds in 2020/21 drove exceptional Arctic sea ice transport R. Mallett et al. https://doi.org/10.1038/s43247-021-00221-8
- Arctic sea ice thickness retrievals from CryoSat-2: seasonal and interannual comparisons of three different products M. Li et al. https://doi.org/10.1080/01431161.2019.1637961
- Machine learning based classification of lake ice and open water from Sentinel-3 SAR altimetry waveforms J. Mugunthan et al. https://doi.org/10.1016/j.rse.2023.113891
- A scatterometer record of sea ice extents and backscatter: 1992–2016 M. Belmonte Rivas et al. https://doi.org/10.5194/tc-12-2941-2018
- Evaluations of the Significant Wave Height Products of HY-2B Satellite Radar Altimeters Y. Jia et al. https://doi.org/10.1080/01490419.2020.1750513
- Lead detection using Cryosat-2 delay-doppler processing and Sentinel-1 SAR images M. Passaro et al. https://doi.org/10.1016/j.asr.2017.07.011
- Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts duringXuelong's first trans-Arctic Passage in summer 2017 L. Mu et al. https://doi.org/10.1017/jog.2019.55
- High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data A. Jutila et al. https://doi.org/10.1109/TGRS.2021.3063756
- 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. https://doi.org/10.1016/j.coldregions.2024.104408
- 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. https://doi.org/10.5194/tc-17-2509-2023
- Validation of sea-ice thickness derived satellite altimeter Cryosat-2 SIRAL in the Arctic, and application to Southern Ocean S. HOSHINO et al. https://doi.org/10.5331/seppyo.80.4_297
- Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance T. Kaminski et al. https://doi.org/10.5194/tc-12-2569-2018
- Validation of CryoSat-2 SARIn Data over Austfonna Ice Cap Using Airborne Laser Scanner Measurements L. Sandberg Sørensen et al. https://doi.org/10.3390/rs10091354
- Improving Arctic Sea-Ice Thickness Estimates with the Assimilation of CryoSat-2 Summer Observations C. Min et al. https://doi.org/10.34133/olar.0025
- A Facet-Based Numerical Model for Simulating SAR Altimeter Echoes From Heterogeneous Sea Ice Surfaces J. Landy et al. https://doi.org/10.1109/TGRS.2018.2889763
- Sea ice volume variability and water temperature in the Greenland Sea V. Selyuzhenok et al. https://doi.org/10.5194/tc-14-477-2020
- A Mechanism for the Arctic Sea Ice Spring Predictability Barrier M. Bushuk et al. https://doi.org/10.1029/2020GL088335
- Arctic Sea Ice Volume Changes in Terms of Age as Revealed From Satellite Observations H. Bi et al. https://doi.org/10.1109/JSTARS.2018.2823735
- Inter-comparison of snow depth over Arctic sea ice from reanalysis reconstructions and satellite retrieval L. Zhou et al. https://doi.org/10.5194/tc-15-345-2021
- Arctic Sea Ice Lead Detection from Chinese HY-2B Radar Altimeter Data W. Zhong et al. https://doi.org/10.3390/rs15020516
- Monitoring Arctic thin ice: a comparison between CryoSat-2 SAR altimetry data and MODIS thermal-infrared imagery F. Müller et al. https://doi.org/10.5194/tc-17-809-2023
- 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. https://doi.org/10.1029/2019MS001938
- Detecting Sea Ice Leads and Floes in the Northwest Passage Using CryoSat-2 A. Swiggs et al. https://doi.org/10.1109/JSTARS.2024.3503286
- Impacts of Assimilating Satellite Sea Ice Concentration and Thickness on Arctic Sea Ice Prediction in the NCEP Climate Forecast System Z. Chen et al. https://doi.org/10.1175/JCLI-D-17-0093.1
- Satellite-derived sea ice export and its impact on Arctic ice mass balance R. Ricker et al. https://doi.org/10.5194/tc-12-3017-2018
- Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory P. Itkin et al. https://doi.org/10.1525/elementa.2022.00048
- Advances in altimetric snow depth estimates using bi-frequency SARAL and CryoSat-2 Ka–Ku measurements F. Garnier et al. https://doi.org/10.5194/tc-15-5483-2021
- Sea ice conditions and navigability through the Northeast Passage in the past 40 years based on remote-sensing data M. Yu et al. https://doi.org/10.1080/17538947.2020.1860144
- Water-volume variations of Lake Hulun estimated from serial Jason altimeters and Landsat TM/ETM+ images from 2002 to 2017 C. Yuan et al. https://doi.org/10.1080/01431161.2018.1516316
- Impact of snow accumulation on CryoSat‐2 range retrievals over Arctic sea ice: An observational approach with buoy data R. Ricker et al. https://doi.org/10.1002/2015GL064081
- Enhanced neural network classification for Arctic summer sea ice A. Braakmann-Folgmann et al. https://doi.org/10.5194/tc-20-905-2026
- SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone L. Kaleschke et al. https://doi.org/10.1016/j.rse.2016.03.009
- Version 1 of a sea ice module for the physics-based, detailed, multi-layer SNOWPACK model N. Wever et al. https://doi.org/10.5194/gmd-13-99-2020
- Assessment of Satellite Altimetric and Compact Polarimetric SAR Parameters Over Early Spring Snow-Covered Landfast Sea Ice in the Canadian Arctic H. Lam et al. https://doi.org/10.1109/JSTARS.2025.3595821
- Snow effects on altimeter waveforms over sea ice in the Weddell Sea — Part I: Radar waveform decomposition L. Zhou et al. https://doi.org/10.1016/j.rse.2025.115112
- Surface-based Ku- and Ka-band polarimetric radar for sea ice studies J. Stroeve et al. https://doi.org/10.5194/tc-14-4405-2020
- Estimation of Sea Ice Thickness from SARAL/AltiKa in Drifting Orbit Phase P. Joshi et al. https://doi.org/10.1080/01490419.2020.1732507
- Estimation of Arctic Sea Ice Thickness Using HY-2B Altimeter Data C. Pang et al. https://doi.org/10.3390/rs16234565
- Comparison of Arctic sea ice thickness and snow depth estimates from CFSR with in situ observations K. Sato & J. Inoue https://doi.org/10.1007/s00382-017-3607-z
- Analysis of Greenland mass changes based on GRACE four-dimensional wavelet decomposition O. Memarian Sorkhabi et al. https://doi.org/10.1080/2150704X.2021.1903608
- 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. https://doi.org/10.3390/rs9101079
- Effect of Snow Salinity on CryoSat‐2 Arctic First‐Year Sea Ice Freeboard Measurements V. Nandan et al. https://doi.org/10.1002/2017GL074506
- Improving sea ice thickness estimates by assimilating CryoSat‐2 and SMOS sea ice thickness data simultaneously L. Mu et al. https://doi.org/10.1002/qj.3225
- A New Retracking Algorithm for Retrieving Sea Ice Freeboard from CryoSat-2 Radar Altimeter Data during Winter–Spring Transition X. Shen et al. https://doi.org/10.3390/rs11101194
- Synoptic Variability in Satellite Altimeter‐Derived Radar Freeboard of Arctic Sea Ice C. Nab et al. https://doi.org/10.1029/2022GL100696
- Advancing Short‐Term Forecasts of Ice Conditions in the Beaufort Sea M. Yaremchuk et al. https://doi.org/10.1029/2018JC014581
- Warm winter, thin ice? J. Stroeve et al. https://doi.org/10.5194/tc-12-1791-2018
- 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. https://doi.org/10.5194/tc-18-2625-2024
- Artificial, Natural, Underlying Factors That Affect the Arctic Climate Z. Weng https://doi.org/10.4236/gep.2018.611008
- Discrimination of different sea ice types from CryoSat-2 satellite data using an Object-based Random Forest (ORF) S. Shu et al. https://doi.org/10.1080/01490419.2019.1671560
- Comparison of CryoSat-2 and ENVISAT radar freeboard over Arctic sea ice: toward an improved Envisat freeboard retrieval K. Guerreiro et al. https://doi.org/10.5194/tc-11-2059-2017
- 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. https://doi.org/10.3390/rs15194826
- A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval J. Anheuser et al. https://doi.org/10.5194/tc-16-4403-2022
- Airborne Investigation of Quasi-Specular Ku-Band Radar Scattering for Satellite Altimetry Over Snow-Covered Arctic Sea Ice C. De Rijke-Thomas et al. https://doi.org/10.1109/TGRS.2023.3318263
- A monthly Arctic sea ice thickness product from 1995 to 2025 using multiple radar altimetry data F. Xiao et al. https://doi.org/10.1080/10095020.2026.2699566
- Inter-comparisons of Arctic snow depth products M. Li et al. https://doi.org/10.1080/17538947.2024.2376286
- Linking scales of sea ice surface topography: evaluation of ICESat-2 measurements with coincident helicopter laser scanning during MOSAiC R. Ricker et al. https://doi.org/10.5194/tc-17-1411-2023
- Copernicus Marine Service Ocean State Report K. von Schuckmann et al. https://doi.org/10.1080/1755876X.2018.1489208
- 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. https://doi.org/10.1109/JMASS.2022.3212880
- Anomalous collapses of Nares Strait ice arches leads to enhanced export of Arctic sea ice G. Moore et al. https://doi.org/10.1038/s41467-020-20314-w
- Seasonal cycle and long-term trend of solar energy fluxes through Arctic sea ice S. Arndt & M. Nicolaus https://doi.org/10.5194/tc-8-2219-2014
- Assessment of Arctic Sea Ice Thickness Estimates From ICESat-2 Using IceBird Airborne Measurements X. Shen et al. https://doi.org/10.1109/TGRS.2020.3022945
- The Copernicus Global 1/12° Oceanic and Sea Ice GLORYS12 Reanalysis L. Jean-Michel et al. https://doi.org/10.3389/feart.2021.698876
- Snow-driven uncertainty in CryoSat-2-derived Antarctic sea ice thickness – insights from McMurdo Sound D. Price et al. https://doi.org/10.5194/tc-13-1409-2019
- Lead Detection in Polar Oceans—A Comparison of Different Classification Methods for Cryosat-2 SAR Data D. Dettmering et al. https://doi.org/10.3390/rs10081190
- Refraction Considered Radar Equation for Snow-Covered Sea Ice Surface H. Shi & R. Tonboe https://doi.org/10.1109/LGRS.2025.3576648
- Assessing CryoSat‐2 Antarctic Snow Freeboard Retrievals Using Data From ICESat‐2 S. Fons et al. https://doi.org/10.1029/2021EA001728
- Retrieval of Snow Depth on Arctic Sea Ice From Surface‐Based, Polarimetric, Dual‐Frequency Radar Altimetry R. Willatt et al. https://doi.org/10.1029/2023GL104461
- New insight from CryoSat-2 sea ice thickness for sea ice modelling D. Schröder et al. https://doi.org/10.5194/tc-13-125-2019
- Satellite altimetry detection of ice-shelf-influenced fast ice G. Brett et al. https://doi.org/10.5194/tc-15-4099-2021
- Estimating instantaneous sea-ice dynamics from space using the bi-static radar measurements of Earth Explorer 10 candidate Harmony M. Kleinherenbrink et al. https://doi.org/10.5194/tc-15-3101-2021
- Triple Collocation-Based Merging of Winter Snow Depth Retrievals on Arctic Sea Ice Derived From Three Different Algorithms Using AMSR2 L. He et al. https://doi.org/10.1109/TGRS.2023.3290073
- Snow depth estimation on leadless landfast ice using Cryo2Ice satellite observations M. Saha et al. https://doi.org/10.5194/tc-19-325-2025
- The GFDL‐CM4X Climate Model Hierarchy, Part II: Case Studies S. Griffies et al. https://doi.org/10.1029/2024MS004862
- CryoSat Ice Baseline-D validation and evolutions M. Meloni et al. https://doi.org/10.5194/tc-14-1889-2020
- Increased Arctic sea ice volume after anomalously low melting in 2013 R. Tilling et al. https://doi.org/10.1038/ngeo2489
- A State-Space Model for Monitoring Greenland Ice Sheet Surface Elevation Change from CryoSat-2 N. Andersen et al. https://doi.org/10.5194/tc-20-4327-2026
- Improvement of Lake Ice Thickness Retrieval From MODIS Satellite Data Using a Thermodynamic Model H. Kheyrollah Pour et al. https://doi.org/10.1109/TGRS.2017.2718533
- Variability of Arctic sea ice thickness and volume from CryoSat-2 R. Kwok & G. Cunningham https://doi.org/10.1098/rsta.2014.0157
- Sea ice thickness in the Eastern Canadian Arctic: Hudson Bay Complex & Baffin Bay J. Landy et al. https://doi.org/10.1016/j.rse.2017.08.019
- Regional distribution and variability of model-simulated Arctic snow on sea ice K. Castro-Morales et al. https://doi.org/10.1016/j.polar.2017.05.003
- Improved 1D inversions for sea ice thickness and conductivity from electromagnetic induction data: Inclusion of nonlinearities caused by passive bucking P. Hunkeler et al. https://doi.org/10.1190/geo2015-0130.1
- Improving Met Office seasonal predictions of Arctic sea ice using assimilation of CryoSat-2 thickness E. Blockley & K. Peterson https://doi.org/10.5194/tc-12-3419-2018
- Utilisation of CryoSat-2 SAR altimeter in operational ice charting E. Rinne & M. Similä https://doi.org/10.5194/tc-10-121-2016
- SWOT and the ice-covered polar oceans: An exploratory analysis T. Armitage & R. Kwok https://doi.org/10.1016/j.asr.2019.07.006
- 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. https://doi.org/10.3390/rs14041041
- 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. https://doi.org/10.1002/2017JC013176
- The Copernicus Polar Ice and Snow Topography Altimeter (CRISTAL) high-priority candidate mission M. Kern et al. https://doi.org/10.5194/tc-14-2235-2020
- Retrievals of Lake Ice Thickness From Great Slave Lake and Great Bear Lake Using CryoSat-2 J. Beckers et al. https://doi.org/10.1109/TGRS.2017.2677583
- Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment A. Shah et al. https://doi.org/10.1080/16000870.2019.1697166
- 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. https://doi.org/10.1109/JSTARS.2020.2966432
- Winter Snow Depth on Arctic Sea Ice From Satellite Radiometer Measurements (2003–2020): Regional Patterns and Trends S. Lee et al. https://doi.org/10.1029/2021GL094541
- Assessment of contemporary satellite sea ice thickness products for Arctic sea ice H. Sallila et al. https://doi.org/10.5194/tc-13-1187-2019
- Assessing three waveform retrackers on sea ice freeboard retrieval from Cryosat-2 using Operation IceBridge Airborne altimetry datasets W. Xia & H. Xie https://doi.org/10.1016/j.rse.2017.10.010
- On retrieving sea ice freeboard from ICESat laser altimeter K. Khvorostovsky & P. Rampal https://doi.org/10.5194/tc-10-2329-2016
- 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. https://doi.org/10.5194/tc-12-2437-2018
- Snow Thickness Estimation on First-Year Sea Ice from Late Winter Spaceborne Scatterometer Backscatter Variance J. Yackel et al. https://doi.org/10.3390/rs11040417
- Thin Arctic sea ice in L-band observations and an ocean reanalysis S. Tietsche et al. https://doi.org/10.5194/tc-12-2051-2018
- Sea‐Ice Forecasts With an Upgraded AWI Coupled Prediction System L. Mu et al. https://doi.org/10.1029/2022MS003176
- Retrieving Sea Level and Freeboard in the Arctic: A Review of Current Radar Altimetry Methodologies and Future Perspectives G. Quartly et al. https://doi.org/10.3390/rs11070881
- A multi-frequency altimetry snow depth product over Arctic sea ice A. Carret et al. https://doi.org/10.1038/s41597-024-04343-4
- Drift-aware sea ice thickness maps from satellite remote sensing R. Ricker et al. https://doi.org/10.5194/tc-19-3785-2025
- On the effects of the timing of an intense cyclone on summertime sea-ice evolution in the Arctic Z. Tian et al. https://doi.org/10.1017/aog.2024.15
- 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. https://doi.org/10.3390/rs11121490
- Lead detection in Arctic sea ice from CryoSat-2: quality assessment, lead area fraction and width distribution A. Wernecke & L. Kaleschke https://doi.org/10.5194/tc-9-1955-2015
- On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses L. Ponsoni et al. https://doi.org/10.5194/tc-13-521-2019
- Local-scale variability of snow density on Arctic sea ice J. King et al. https://doi.org/10.5194/tc-14-4323-2020
- Thermodynamical and Dynamical Impacts of an Intense Cyclone on Arctic Sea Ice Z. Tian et al. https://doi.org/10.1029/2022JC018436
- Recovering and monitoring the thickness, density, and elastic properties of sea ice from seismic noise recorded in Svalbard A. Serripierri et al. https://doi.org/10.5194/tc-16-2527-2022
- Spatiotemporal Variability of Sea Ice in the Arctic's Last Ice Area G. Moore et al. https://doi.org/10.1029/2019GL083722
- 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. https://doi.org/10.5194/tc-17-3013-2023
- Assimilating CryoSat-2 freeboard to improve Arctic sea ice thickness estimates I. Sievers et al. https://doi.org/10.5194/tc-17-3721-2023
- 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. https://doi.org/10.1080/01490419.2022.2089412
- Seasonal Variability of Sea Ice Bulk Density During the MOSAiC Expedition: Results From Synergistic In Situ, Airborne, and Satellite Observations Y. Zhou et al. https://doi.org/10.1109/TGRS.2025.3650353
- Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice S. Gerland et al. https://doi.org/10.1088/1748-9326/ab09b3
- 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. https://doi.org/10.1029/2020JC016607
- Implications of climate change for shipping: Opening the Arctic seas A. Ng et al. https://doi.org/10.1002/wcc.507
- Spatiotemporal variability and decadal trends of snowmelt processes on Antarctic sea ice observed by satellite scatterometers S. Arndt & C. Haas https://doi.org/10.5194/tc-13-1943-2019
- A dataset for lake level changes in the Tibetan Plateau from 2002 and 2010 to 2021 using multi-altimeter data J. Chen et al. https://doi.org/10.5194/essd-17-4235-2025
- A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data R. Ricker et al. https://doi.org/10.5194/tc-11-1607-2017
- Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4 Y. Xiu et al. https://doi.org/10.1017/jog.2020.110
- Using Sea Surface Temperature Observations to Constrain Upper Ocean Properties in an Arctic Sea Ice‐Ocean Data Assimilation System X. Liang et al. https://doi.org/10.1029/2019JC015073
- Assimilation of radar freeboard and snow altimetry observations in the Arctic and Antarctic with a coupled ocean/sea ice modelling system A. Chenal et al. https://doi.org/10.5194/tc-20-369-2026
- The Challenge of Arctic Sea Ice Thickness Prediction by ECMWF on Subseasonal Time Scales Y. Xiu et al. https://doi.org/10.1029/2021GL097476
- Arctic Snow Depth, Ice Thickness, and Volume From ICESat‐2 and CryoSat‐2: 2018–2021 S. Kacimi & R. Kwok https://doi.org/10.1029/2021GL097448
- Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system R. Allard et al. https://doi.org/10.1016/j.asr.2017.12.030
- 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. https://doi.org/10.5194/tc-17-2487-2023
- Variability scaling and consistency in airborne and satellite altimetry measurements of Arctic sea ice S. Xu et al. https://doi.org/10.5194/tc-14-751-2020
- Possibilities of investigating ice development of the Kara sea based on CryoSat-2 and SMOS data V. Kirillov et al. https://doi.org/10.30758/0555-2648-2023-69-1-10-28
- The Impact of Geophysical Corrections on Sea-Ice Freeboard Retrieved from Satellite Altimetry R. Ricker et al. https://doi.org/10.3390/rs8040317
- Pan‐Arctic sea ice‐algal chl a biomass and suitable habitat are largely underestimated for multiyear ice B. Lange et al. https://doi.org/10.1111/gcb.13742
- Satellite-based sea ice thickness changes in the Laptev Sea from 2002 to 2017: comparison to mooring observations H. Belter et al. https://doi.org/10.5194/tc-14-2189-2020
- Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST S. Prasad et al. https://doi.org/10.5194/tc-12-3949-2018
- Daily-scale spatiotemporal prediction of thin sea ice thickness during the early freezing season based on EOF-Trans J. Liu et al. https://doi.org/10.3389/fmars.2026.1657592
- Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al. https://doi.org/10.5194/os-19-1375-2023
- Estimating snow depth over Arctic sea ice from calibrated dual-frequency radar freeboards I. Lawrence et al. https://doi.org/10.5194/tc-12-3551-2018
- Estimation of Arctic Sea Ice Thickness from Chinese HY-2B Radar Altimetry Data M. Jiang et al. https://doi.org/10.3390/rs15051180
- Validation of Sea-Ice Topographic Heights Derived From TanDEM-X Interferometric SAR Data With Results From Laser Profiler and Photogrammetry T. Yitayew et al. https://doi.org/10.1109/TGRS.2018.2839590
- 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. https://doi.org/10.1038/s41598-023-36179-0
- Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool A. Lauer et al. https://doi.org/10.1016/j.rse.2017.01.007
- The opening of the Transpolar Sea Route: Logistical, geopolitical, environmental, and socioeconomic impacts M. Bennett et al. https://doi.org/10.1016/j.marpol.2020.104178
- Potential for estimation of snow depth on Arctic sea ice from CryoSat-2 and SARAL/AltiKa missions K. Guerreiro et al. https://doi.org/10.1016/j.rse.2016.07.013
- Winter Coastal Divergence as a Predictor for the Minimum Sea Ice Extent in the Laptev Sea C. Brunette et al. https://doi.org/10.1175/JCLI-D-18-0169.1
- 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. https://doi.org/10.5194/tc-15-2429-2021
- Simulated Ka- and Ku-band radar altimeter height and freeboard estimation on snow-covered Arctic sea ice R. Tonboe et al. https://doi.org/10.5194/tc-15-1811-2021
- SMOS-derived Antarctic thin sea ice thickness: data description and validation in the Weddell Sea L. Kaleschke et al. https://doi.org/10.5194/essd-16-3149-2024
- Ensemble-based estimation of sea-ice volume variations in the Baffin Bay C. Min et al. https://doi.org/10.5194/tc-15-169-2021
- Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020 F. Garnier et al. https://doi.org/10.3390/rs14194741
- Anticipating CRISTAL: an exploration of multi-frequency satellite altimeter snow depth estimates over Arctic sea ice, 2018–2023 J. Landy et al. https://doi.org/10.5194/tc-20-183-2026
- 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 https://doi.org/10.1002/2016GL069333
- Retrieval of Antarctic sea ice freeboard and thickness from HY-2B satellite altimeter data Y. Chen et al. https://doi.org/10.1007/s13131-023-2250-2
- Comparison of direct measurements of sea ice thickness and snow height, CryoSat-2 observations and PIOMAS numerical estimates V. Smolyanitsky et al. https://doi.org/10.30758/0555-2648-2020-66-3-337-348
- Feasibility of retrieving Arctic sea ice thickness from the Chinese HY-2B Ku-band radar altimeter Z. Dong et al. https://doi.org/10.5194/tc-17-1389-2023
- Wideband Radiometry From P to S Band for Monitoring Polar Regions G. Macelloni et al. https://doi.org/10.1109/JPROC.2026.3653571
- Estimating Arctic Sea Ice Thickness with CryoSat-2 Altimetry Data Using the Least Squares Adjustment Method F. Xiao et al. https://doi.org/10.3390/s20247011
- 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. https://doi.org/10.1175/JCLI-D-21-0199.1
- 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. https://doi.org/10.3389/fmars.2019.00429
- Arctic sea ice thickness variations from CryoSat-2 satellite altimetry data F. Xiao et al. https://doi.org/10.1007/s11430-020-9777-9
- 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. https://doi.org/10.1109/TGRS.2023.3265274
- 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. https://doi.org/10.1109/JSTARS.2021.3114228
- Multi-frequency altimetry snow depth estimates over heterogeneous snow-covered Antarctic summer sea ice – Part 1: C∕S-, Ku-, and Ka-band airborne observations R. Fredensborg Hansen et al. https://doi.org/10.5194/tc-19-4167-2025
- Two Decades of Arctic Sea-Ice Thickness from Satellite Altimeters: Retrieval Approaches and Record of Changes (2003–2023) S. Kacimi & R. Kwok https://doi.org/10.3390/rs16162983
- Comparing elevation and backscatter retrievals from CryoSat-2 and ICESat-2 over Arctic summer sea ice G. Dawson & J. Landy https://doi.org/10.5194/tc-17-4165-2023
- Year-round sea ice and snow characterization from combined passive and active microwave observations and radiative transfer modeling C. Soriot et al. https://doi.org/10.1016/j.rse.2022.113061
- 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. https://doi.org/10.5194/tc-16-61-2022
- Sensitivity of Radar Altimeter Waveform to Changes in Sea Ice Type at Resolution of Synthetic Aperture Radar W. Aldenhoff et al. https://doi.org/10.3390/rs11222602
- A Preliminary Investigation of Arctic Sea Ice Negative Freeboard from in-situ Observations and Radar Altimetry S. Li et al. https://doi.org/10.1007/s11802-021-4380-5
- Retrievals of Arctic Sea‐Ice Volume and Its Trend Significantly Affected by Interannual Snow Variability F. Bunzel et al. https://doi.org/10.1029/2018GL078867
- Improving CryoSat-2 SARIn L1b Products to Account for Inaccurate Phase Difference: Impact on Sea Ice Freeboard Retrieval A. Di Bella et al. https://doi.org/10.1109/LGRS.2019.2919946
- Arctic Snow Depth and Sea Ice Thickness From ICESat‐2 and CryoSat‐2 Freeboards: A First Examination R. Kwok et al. https://doi.org/10.1029/2019JC016008
- Variability of Winter Snow Properties on Different Spatial Scales in the Weddell Sea S. Arndt & S. Paul https://doi.org/10.1029/2018JC014447
- A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era J. Anheuser et al. https://doi.org/10.5194/tc-17-2871-2023
- Arctic Sea Ice Thickness Estimation From Passive Microwave Satellite Observations Between 1.4 and 36 GHz C. Soriot et al. https://doi.org/10.1029/2022EA002542
- Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data S. Zhang et al. https://doi.org/10.3390/rs13081414
- Bohai Sea Ice Parameter Estimation Based on Thermodynamic Ice Model and Earth Observation Data J. Karvonen et al. https://doi.org/10.3390/rs9030234
- Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system J. Xie et al. https://doi.org/10.5194/tc-10-2745-2016
- Rapid thinning of lake ice for Himalayan glacial lakes since 2010 M. Zhang et al. https://doi.org/10.1016/j.rse.2025.115062
- An Attempt to Improve Snow Depth Retrieval Using Satellite Microwave Radiometry for Rough Antarctic Sea Ice S. Kern & B. Ozsoy https://doi.org/10.3390/rs11192323
- 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. https://doi.org/10.5194/gmd-14-1101-2021
- A comparison of Arctic sea ice freeboard products from Sentinel-3A and CryoSat-2 data X. Shen et al. https://doi.org/10.1080/01431161.2019.1698078
- Unprecedented Arctic sea ice thickness loss and multiyear-ice volume export through Fram Strait during 2010–2011 X. Li et al. https://doi.org/10.1088/1748-9326/ac8be7
- Improved Arctic Sea Ice Freeboard Retrieval From Satellite Altimetry Using Optimized Sea Surface Decorrelation Scales J. Landy et al. https://doi.org/10.1029/2021JC017466
- An Arctic Sea Ice Thickness Inversion Method Based on Deep Learning Two-Branch Architecture and Multisource Remote Sensing Data Fusion R. Huang et al. https://doi.org/10.1109/JSTARS.2025.3636999
- An Improved Antarctic Sea Ice Thickness Dataset Derived from CryoSat-2 Using LightGBM Z. Ma et al. https://doi.org/10.1007/s00376-026-5885-z
- A new Arctic MSS model derived from combined Cryosat-2 and ICESat observations G. Chen et al. https://doi.org/10.1080/17538947.2022.2153181
- Structure and Performance of GFDL's CM4.0 Climate Model I. Held et al. https://doi.org/10.1029/2019MS001829
- Estimating snow depth on Arctic sea ice using satellite microwave radiometry and a neural network A. Braakmann-Folgmann & C. Donlon https://doi.org/10.5194/tc-13-2421-2019
- Evaluation and fusion of multi-source sea ice thickness products with limited in-situ observations T. Li et al. https://doi.org/10.3389/fmars.2024.1464391
- Uncertainty reduction of Arctic sea ice freeboard from CryoSat-2 interferometric mode A. Di Bella et al. https://doi.org/10.1016/j.asr.2018.03.018
- Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. https://doi.org/10.1016/j.scib.2018.11.018
- Simultaneous Parameter Optimization of an Arctic Sea Ice–Ocean Model by a Genetic Algorithm H. Sumata et al. https://doi.org/10.1175/MWR-D-18-0360.1
- Interannual variability in Transpolar Drift summer sea ice thickness and potential impact of Atlantification H. Belter et al. https://doi.org/10.5194/tc-15-2575-2021
- A year-round satellite sea-ice thickness record from CryoSat-2 J. Landy et al. https://doi.org/10.1038/s41586-022-05058-5
- About the consistency between Envisat and CryoSat-2 radar freeboard retrieval over Antarctic sea ice S. Schwegmann et al. https://doi.org/10.5194/tc-10-1415-2016
- Near-real-time Arctic sea ice thickness and volume from CryoSat-2 R. Tilling et al. https://doi.org/10.5194/tc-10-2003-2016
- 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. https://doi.org/10.5194/tc-16-1821-2022
- Estimation of Arctic sea ice thickness from CryoSat-2 altimetry data J. Jiang et al. https://doi.org/10.1080/01431161.2023.2195575
- Sea ice export through the Fram Strait derived from a combined model and satellite data set C. Min et al. https://doi.org/10.5194/tc-13-3209-2019
- MOSAiC drift expedition from October 2019 to July 2020: sea ice conditions from space and comparison with previous years T. Krumpen et al. https://doi.org/10.5194/tc-15-3897-2021
- Assessing the representation of Arctic sea ice and the marginal ice zone in ocean–sea ice reanalyses F. Cocetta et al. https://doi.org/10.5194/tc-18-4687-2024
- Investigation of the Arctic Sea ice volume from 2002 to 2018 using multi‐source data M. Li et al. https://doi.org/10.1002/joc.6972
- Global Lake Ice Thickness Estimation Based on Multi-GNSS Reflected Signals from Tianmu-1 Constellation X. Liu et al. https://doi.org/10.1088/1742-6596/3055/1/012038
- Freeboard height and snow depth observed by floating GPS on land-fast sea ice in Nella Fjord, Antarctica Q. Zhang et al. https://doi.org/10.1017/aog.2020.41
- A comparison between Envisat and ICESat sea ice thickness in the Southern Ocean J. Wang et al. https://doi.org/10.5194/tc-16-4473-2022
- Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection S. Lee et al. https://doi.org/10.3390/rs8090698
- On the Importance of Representing Snow Over Sea‐Ice for Simulating the Arctic Boundary Layer G. Arduini et al. https://doi.org/10.1029/2021MS002777
- Estimating Arctic sea ice thickness and volume using CryoSat-2 radar altimeter data R. Tilling et al. https://doi.org/10.1016/j.asr.2017.10.051
- Reconstruction of Snow on Arctic Sea Ice E. Blanchard‐Wrigglesworth et al. https://doi.org/10.1002/2017JC013364
- Observation-constrained explainable reconstruction of snow depth on Antarctic sea ice reveals strong regional asymmetry during 1993–2021 Y. Cao et al. https://doi.org/10.1016/j.accre.2026.07.008
- Implications of surface flooding on airborne estimates of snow depth on sea ice A. Rösel et al. https://doi.org/10.5194/tc-15-2819-2021
- Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. https://doi.org/10.1029/2019JC015820
- A Spring Barrier for Regional Predictions of Summer Arctic Sea Ice D. Bonan et al. https://doi.org/10.1029/2019GL082947
- Intensity of Level Ice Simulated with the CICE Model for Oil-Gas Exploitation in the Southern Kara Sea, Arctic C. Duan et al. https://doi.org/10.1007/s11802-022-4914-5
- 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. https://doi.org/10.1029/2018JC014316
- Sea ice local surface topography from single-pass satellite InSAR measurements: a feasibility study W. Dierking et al. https://doi.org/10.5194/tc-11-1967-2017
- Unusual drift behaviour of multi-year sea ice in the Beaufort Sea during summer 2018 N. Kimura et al. https://doi.org/10.33265/polar.v39.3617
- Scalable interpolation of satellite altimetry data with probabilistic machine learning W. Gregory et al. https://doi.org/10.1038/s41467-024-51900-x
- Arctic Ocean Sea Level Record from the Complete Radar Altimetry Era: 1991–2018 S. Rose et al. https://doi.org/10.3390/rs11141672
- 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. https://doi.org/10.1017/aog.2024.26
- A long-term proxy for sea ice thickness in the Canadian Arctic: 1996–2020 I. Glissenaar et al. https://doi.org/10.5194/tc-17-3269-2023
- Comparing Coincident Elevation and Freeboard From IceBridge and Five Different CryoSat-2 Retrackers D. Yi et al. https://doi.org/10.1109/TGRS.2018.2865257
- Impact of sea-ice thickness initialized in April on Arctic sea-ice extent predictability with the MIROC climate model J. Ono et al. https://doi.org/10.1017/aog.2020.13
- Suitability of the CICE sea ice model for seasonal prediction and positive impact of CryoSat-2 ice thickness initialization S. Sun & A. Solomon https://doi.org/10.5194/tc-18-3033-2024
- Effects of decimetre-scale surface roughness on L-band brightness temperature of sea ice M. Miernecki et al. https://doi.org/10.5194/tc-14-461-2020
- Simultaneous estimation of wintertime sea ice thickness and snow depth from space-borne freeboard measurements H. Shi et al. https://doi.org/10.5194/tc-14-3761-2020
- The Abundance of Atmospheric CO2 in Ocean Exoplanets: a Novel CO2 Deposition Mechanism A. Levi et al. https://doi.org/10.3847/1538-4357/aa5cfe
- Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements A. Jutila et al. https://doi.org/10.5194/tc-16-259-2022
242 citations as recorded by crossref.
- Arctic sea ice variation in the Northwest Passage in 1979–2017 and its response to surface thermodynamics factors X. Shen et al. https://doi.org/10.1016/j.accre.2021.08.004
- Retrieval of Sea Ice Concentration and Thickness During the Arctic Freezing Period from Tianmu-1 Based on Machine Learning X. Xu et al. https://doi.org/10.3390/rs18020237
- Sea surface height anomaly and geostrophic current velocity from altimetry measurements over the Arctic Ocean (2011–2020) F. Doglioni et al. https://doi.org/10.5194/essd-15-225-2023
- Snow effects on altimeter waveforms over sea ice in the Weddell Sea - Part II: sea ice and snow spaceborne retrieval L. Zhou et al. https://doi.org/10.1016/j.rse.2026.115360
- Satellite Remote Sensing of Snow Depth on Antarctic Sea Ice: An Inter-Comparison of Two Empirical Approaches S. Kern & B. Ozsoy-Çiçek https://doi.org/10.3390/rs8060450
- Satellite‐observed drop of Arctic sea ice growth in winter 2015–2016 R. Ricker et al. https://doi.org/10.1002/2016GL072244
- Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis J. Xie et al. https://doi.org/10.5194/tc-12-3671-2018
- The state and fate of lake ice thickness in the Northern Hemisphere X. Li et al. https://doi.org/10.1016/j.scib.2021.10.015
- 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. https://doi.org/10.1002/2017JC013233
- Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements K. Khvorostovsky et al. https://doi.org/10.3390/rs12183094
- 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. https://doi.org/10.5194/tc-9-37-2015
- Multi-peak Retracking of CryoSat-2 SARIn Waveforms Over Arctic Sea Ice A. Di Bella et al. https://doi.org/10.1109/TGRS.2020.3022522
- Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission C. Herbert et al. https://doi.org/10.3390/rs13071366
- Recent advance in earth observation big data for hydrology L. Chen & L. Wang https://doi.org/10.1080/20964471.2018.1435072
- Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products H. Li et al. https://doi.org/10.3390/rs17101680
- Record winter winds in 2020/21 drove exceptional Arctic sea ice transport R. Mallett et al. https://doi.org/10.1038/s43247-021-00221-8
- Arctic sea ice thickness retrievals from CryoSat-2: seasonal and interannual comparisons of three different products M. Li et al. https://doi.org/10.1080/01431161.2019.1637961
- Machine learning based classification of lake ice and open water from Sentinel-3 SAR altimetry waveforms J. Mugunthan et al. https://doi.org/10.1016/j.rse.2023.113891
- A scatterometer record of sea ice extents and backscatter: 1992–2016 M. Belmonte Rivas et al. https://doi.org/10.5194/tc-12-2941-2018
- Evaluations of the Significant Wave Height Products of HY-2B Satellite Radar Altimeters Y. Jia et al. https://doi.org/10.1080/01490419.2020.1750513
- Lead detection using Cryosat-2 delay-doppler processing and Sentinel-1 SAR images M. Passaro et al. https://doi.org/10.1016/j.asr.2017.07.011
- Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts duringXuelong's first trans-Arctic Passage in summer 2017 L. Mu et al. https://doi.org/10.1017/jog.2019.55
- High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data A. Jutila et al. https://doi.org/10.1109/TGRS.2021.3063756
- 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. https://doi.org/10.1016/j.coldregions.2024.104408
- 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. https://doi.org/10.5194/tc-17-2509-2023
- Validation of sea-ice thickness derived satellite altimeter Cryosat-2 SIRAL in the Arctic, and application to Southern Ocean S. HOSHINO et al. https://doi.org/10.5331/seppyo.80.4_297
- Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance T. Kaminski et al. https://doi.org/10.5194/tc-12-2569-2018
- Validation of CryoSat-2 SARIn Data over Austfonna Ice Cap Using Airborne Laser Scanner Measurements L. Sandberg Sørensen et al. https://doi.org/10.3390/rs10091354
- Improving Arctic Sea-Ice Thickness Estimates with the Assimilation of CryoSat-2 Summer Observations C. Min et al. https://doi.org/10.34133/olar.0025
- A Facet-Based Numerical Model for Simulating SAR Altimeter Echoes From Heterogeneous Sea Ice Surfaces J. Landy et al. https://doi.org/10.1109/TGRS.2018.2889763
- Sea ice volume variability and water temperature in the Greenland Sea V. Selyuzhenok et al. https://doi.org/10.5194/tc-14-477-2020
- A Mechanism for the Arctic Sea Ice Spring Predictability Barrier M. Bushuk et al. https://doi.org/10.1029/2020GL088335
- Arctic Sea Ice Volume Changes in Terms of Age as Revealed From Satellite Observations H. Bi et al. https://doi.org/10.1109/JSTARS.2018.2823735
- Inter-comparison of snow depth over Arctic sea ice from reanalysis reconstructions and satellite retrieval L. Zhou et al. https://doi.org/10.5194/tc-15-345-2021
- Arctic Sea Ice Lead Detection from Chinese HY-2B Radar Altimeter Data W. Zhong et al. https://doi.org/10.3390/rs15020516
- Monitoring Arctic thin ice: a comparison between CryoSat-2 SAR altimetry data and MODIS thermal-infrared imagery F. Müller et al. https://doi.org/10.5194/tc-17-809-2023
- 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. https://doi.org/10.1029/2019MS001938
- Detecting Sea Ice Leads and Floes in the Northwest Passage Using CryoSat-2 A. Swiggs et al. https://doi.org/10.1109/JSTARS.2024.3503286
- Impacts of Assimilating Satellite Sea Ice Concentration and Thickness on Arctic Sea Ice Prediction in the NCEP Climate Forecast System Z. Chen et al. https://doi.org/10.1175/JCLI-D-17-0093.1
- Satellite-derived sea ice export and its impact on Arctic ice mass balance R. Ricker et al. https://doi.org/10.5194/tc-12-3017-2018
- Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory P. Itkin et al. https://doi.org/10.1525/elementa.2022.00048
- Advances in altimetric snow depth estimates using bi-frequency SARAL and CryoSat-2 Ka–Ku measurements F. Garnier et al. https://doi.org/10.5194/tc-15-5483-2021
- Sea ice conditions and navigability through the Northeast Passage in the past 40 years based on remote-sensing data M. Yu et al. https://doi.org/10.1080/17538947.2020.1860144
- Water-volume variations of Lake Hulun estimated from serial Jason altimeters and Landsat TM/ETM+ images from 2002 to 2017 C. Yuan et al. https://doi.org/10.1080/01431161.2018.1516316
- Impact of snow accumulation on CryoSat‐2 range retrievals over Arctic sea ice: An observational approach with buoy data R. Ricker et al. https://doi.org/10.1002/2015GL064081
- Enhanced neural network classification for Arctic summer sea ice A. Braakmann-Folgmann et al. https://doi.org/10.5194/tc-20-905-2026
- SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone L. Kaleschke et al. https://doi.org/10.1016/j.rse.2016.03.009
- Version 1 of a sea ice module for the physics-based, detailed, multi-layer SNOWPACK model N. Wever et al. https://doi.org/10.5194/gmd-13-99-2020
- Assessment of Satellite Altimetric and Compact Polarimetric SAR Parameters Over Early Spring Snow-Covered Landfast Sea Ice in the Canadian Arctic H. Lam et al. https://doi.org/10.1109/JSTARS.2025.3595821
- Snow effects on altimeter waveforms over sea ice in the Weddell Sea — Part I: Radar waveform decomposition L. Zhou et al. https://doi.org/10.1016/j.rse.2025.115112
- Surface-based Ku- and Ka-band polarimetric radar for sea ice studies J. Stroeve et al. https://doi.org/10.5194/tc-14-4405-2020
- Estimation of Sea Ice Thickness from SARAL/AltiKa in Drifting Orbit Phase P. Joshi et al. https://doi.org/10.1080/01490419.2020.1732507
- Estimation of Arctic Sea Ice Thickness Using HY-2B Altimeter Data C. Pang et al. https://doi.org/10.3390/rs16234565
- Comparison of Arctic sea ice thickness and snow depth estimates from CFSR with in situ observations K. Sato & J. Inoue https://doi.org/10.1007/s00382-017-3607-z
- Analysis of Greenland mass changes based on GRACE four-dimensional wavelet decomposition O. Memarian Sorkhabi et al. https://doi.org/10.1080/2150704X.2021.1903608
- 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. https://doi.org/10.3390/rs9101079
- Effect of Snow Salinity on CryoSat‐2 Arctic First‐Year Sea Ice Freeboard Measurements V. Nandan et al. https://doi.org/10.1002/2017GL074506
- Improving sea ice thickness estimates by assimilating CryoSat‐2 and SMOS sea ice thickness data simultaneously L. Mu et al. https://doi.org/10.1002/qj.3225
- A New Retracking Algorithm for Retrieving Sea Ice Freeboard from CryoSat-2 Radar Altimeter Data during Winter–Spring Transition X. Shen et al. https://doi.org/10.3390/rs11101194
- Synoptic Variability in Satellite Altimeter‐Derived Radar Freeboard of Arctic Sea Ice C. Nab et al. https://doi.org/10.1029/2022GL100696
- Advancing Short‐Term Forecasts of Ice Conditions in the Beaufort Sea M. Yaremchuk et al. https://doi.org/10.1029/2018JC014581
- Warm winter, thin ice? J. Stroeve et al. https://doi.org/10.5194/tc-12-1791-2018
- 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. https://doi.org/10.5194/tc-18-2625-2024
- Artificial, Natural, Underlying Factors That Affect the Arctic Climate Z. Weng https://doi.org/10.4236/gep.2018.611008
- Discrimination of different sea ice types from CryoSat-2 satellite data using an Object-based Random Forest (ORF) S. Shu et al. https://doi.org/10.1080/01490419.2019.1671560
- Comparison of CryoSat-2 and ENVISAT radar freeboard over Arctic sea ice: toward an improved Envisat freeboard retrieval K. Guerreiro et al. https://doi.org/10.5194/tc-11-2059-2017
- 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. https://doi.org/10.3390/rs15194826
- A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval J. Anheuser et al. https://doi.org/10.5194/tc-16-4403-2022
- Airborne Investigation of Quasi-Specular Ku-Band Radar Scattering for Satellite Altimetry Over Snow-Covered Arctic Sea Ice C. De Rijke-Thomas et al. https://doi.org/10.1109/TGRS.2023.3318263
- A monthly Arctic sea ice thickness product from 1995 to 2025 using multiple radar altimetry data F. Xiao et al. https://doi.org/10.1080/10095020.2026.2699566
- Inter-comparisons of Arctic snow depth products M. Li et al. https://doi.org/10.1080/17538947.2024.2376286
- Linking scales of sea ice surface topography: evaluation of ICESat-2 measurements with coincident helicopter laser scanning during MOSAiC R. Ricker et al. https://doi.org/10.5194/tc-17-1411-2023
- Copernicus Marine Service Ocean State Report K. von Schuckmann et al. https://doi.org/10.1080/1755876X.2018.1489208
- 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. https://doi.org/10.1109/JMASS.2022.3212880
- Anomalous collapses of Nares Strait ice arches leads to enhanced export of Arctic sea ice G. Moore et al. https://doi.org/10.1038/s41467-020-20314-w
- Seasonal cycle and long-term trend of solar energy fluxes through Arctic sea ice S. Arndt & M. Nicolaus https://doi.org/10.5194/tc-8-2219-2014
- Assessment of Arctic Sea Ice Thickness Estimates From ICESat-2 Using IceBird Airborne Measurements X. Shen et al. https://doi.org/10.1109/TGRS.2020.3022945
- The Copernicus Global 1/12° Oceanic and Sea Ice GLORYS12 Reanalysis L. Jean-Michel et al. https://doi.org/10.3389/feart.2021.698876
- Snow-driven uncertainty in CryoSat-2-derived Antarctic sea ice thickness – insights from McMurdo Sound D. Price et al. https://doi.org/10.5194/tc-13-1409-2019
- Lead Detection in Polar Oceans—A Comparison of Different Classification Methods for Cryosat-2 SAR Data D. Dettmering et al. https://doi.org/10.3390/rs10081190
- Refraction Considered Radar Equation for Snow-Covered Sea Ice Surface H. Shi & R. Tonboe https://doi.org/10.1109/LGRS.2025.3576648
- Assessing CryoSat‐2 Antarctic Snow Freeboard Retrievals Using Data From ICESat‐2 S. Fons et al. https://doi.org/10.1029/2021EA001728
- Retrieval of Snow Depth on Arctic Sea Ice From Surface‐Based, Polarimetric, Dual‐Frequency Radar Altimetry R. Willatt et al. https://doi.org/10.1029/2023GL104461
- New insight from CryoSat-2 sea ice thickness for sea ice modelling D. Schröder et al. https://doi.org/10.5194/tc-13-125-2019
- Satellite altimetry detection of ice-shelf-influenced fast ice G. Brett et al. https://doi.org/10.5194/tc-15-4099-2021
- Estimating instantaneous sea-ice dynamics from space using the bi-static radar measurements of Earth Explorer 10 candidate Harmony M. Kleinherenbrink et al. https://doi.org/10.5194/tc-15-3101-2021
- Triple Collocation-Based Merging of Winter Snow Depth Retrievals on Arctic Sea Ice Derived From Three Different Algorithms Using AMSR2 L. He et al. https://doi.org/10.1109/TGRS.2023.3290073
- Snow depth estimation on leadless landfast ice using Cryo2Ice satellite observations M. Saha et al. https://doi.org/10.5194/tc-19-325-2025
- The GFDL‐CM4X Climate Model Hierarchy, Part II: Case Studies S. Griffies et al. https://doi.org/10.1029/2024MS004862
- CryoSat Ice Baseline-D validation and evolutions M. Meloni et al. https://doi.org/10.5194/tc-14-1889-2020
- Increased Arctic sea ice volume after anomalously low melting in 2013 R. Tilling et al. https://doi.org/10.1038/ngeo2489
- A State-Space Model for Monitoring Greenland Ice Sheet Surface Elevation Change from CryoSat-2 N. Andersen et al. https://doi.org/10.5194/tc-20-4327-2026
- Improvement of Lake Ice Thickness Retrieval From MODIS Satellite Data Using a Thermodynamic Model H. Kheyrollah Pour et al. https://doi.org/10.1109/TGRS.2017.2718533
- Variability of Arctic sea ice thickness and volume from CryoSat-2 R. Kwok & G. Cunningham https://doi.org/10.1098/rsta.2014.0157
- Sea ice thickness in the Eastern Canadian Arctic: Hudson Bay Complex & Baffin Bay J. Landy et al. https://doi.org/10.1016/j.rse.2017.08.019
- Regional distribution and variability of model-simulated Arctic snow on sea ice K. Castro-Morales et al. https://doi.org/10.1016/j.polar.2017.05.003
- Improved 1D inversions for sea ice thickness and conductivity from electromagnetic induction data: Inclusion of nonlinearities caused by passive bucking P. Hunkeler et al. https://doi.org/10.1190/geo2015-0130.1
- Improving Met Office seasonal predictions of Arctic sea ice using assimilation of CryoSat-2 thickness E. Blockley & K. Peterson https://doi.org/10.5194/tc-12-3419-2018
- Utilisation of CryoSat-2 SAR altimeter in operational ice charting E. Rinne & M. Similä https://doi.org/10.5194/tc-10-121-2016
- SWOT and the ice-covered polar oceans: An exploratory analysis T. Armitage & R. Kwok https://doi.org/10.1016/j.asr.2019.07.006
- 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. https://doi.org/10.3390/rs14041041
- 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. https://doi.org/10.1002/2017JC013176
- The Copernicus Polar Ice and Snow Topography Altimeter (CRISTAL) high-priority candidate mission M. Kern et al. https://doi.org/10.5194/tc-14-2235-2020
- Retrievals of Lake Ice Thickness From Great Slave Lake and Great Bear Lake Using CryoSat-2 J. Beckers et al. https://doi.org/10.1109/TGRS.2017.2677583
- Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment A. Shah et al. https://doi.org/10.1080/16000870.2019.1697166
- 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. https://doi.org/10.1109/JSTARS.2020.2966432
- Winter Snow Depth on Arctic Sea Ice From Satellite Radiometer Measurements (2003–2020): Regional Patterns and Trends S. Lee et al. https://doi.org/10.1029/2021GL094541
- Assessment of contemporary satellite sea ice thickness products for Arctic sea ice H. Sallila et al. https://doi.org/10.5194/tc-13-1187-2019
- Assessing three waveform retrackers on sea ice freeboard retrieval from Cryosat-2 using Operation IceBridge Airborne altimetry datasets W. Xia & H. Xie https://doi.org/10.1016/j.rse.2017.10.010
- On retrieving sea ice freeboard from ICESat laser altimeter K. Khvorostovsky & P. Rampal https://doi.org/10.5194/tc-10-2329-2016
- 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. https://doi.org/10.5194/tc-12-2437-2018
- Snow Thickness Estimation on First-Year Sea Ice from Late Winter Spaceborne Scatterometer Backscatter Variance J. Yackel et al. https://doi.org/10.3390/rs11040417
- Thin Arctic sea ice in L-band observations and an ocean reanalysis S. Tietsche et al. https://doi.org/10.5194/tc-12-2051-2018
- Sea‐Ice Forecasts With an Upgraded AWI Coupled Prediction System L. Mu et al. https://doi.org/10.1029/2022MS003176
- Retrieving Sea Level and Freeboard in the Arctic: A Review of Current Radar Altimetry Methodologies and Future Perspectives G. Quartly et al. https://doi.org/10.3390/rs11070881
- A multi-frequency altimetry snow depth product over Arctic sea ice A. Carret et al. https://doi.org/10.1038/s41597-024-04343-4
- Drift-aware sea ice thickness maps from satellite remote sensing R. Ricker et al. https://doi.org/10.5194/tc-19-3785-2025
- On the effects of the timing of an intense cyclone on summertime sea-ice evolution in the Arctic Z. Tian et al. https://doi.org/10.1017/aog.2024.15
- 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. https://doi.org/10.3390/rs11121490
- Lead detection in Arctic sea ice from CryoSat-2: quality assessment, lead area fraction and width distribution A. Wernecke & L. Kaleschke https://doi.org/10.5194/tc-9-1955-2015
- On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses L. Ponsoni et al. https://doi.org/10.5194/tc-13-521-2019
- Local-scale variability of snow density on Arctic sea ice J. King et al. https://doi.org/10.5194/tc-14-4323-2020
- Thermodynamical and Dynamical Impacts of an Intense Cyclone on Arctic Sea Ice Z. Tian et al. https://doi.org/10.1029/2022JC018436
- Recovering and monitoring the thickness, density, and elastic properties of sea ice from seismic noise recorded in Svalbard A. Serripierri et al. https://doi.org/10.5194/tc-16-2527-2022
- Spatiotemporal Variability of Sea Ice in the Arctic's Last Ice Area G. Moore et al. https://doi.org/10.1029/2019GL083722
- 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. https://doi.org/10.5194/tc-17-3013-2023
- Assimilating CryoSat-2 freeboard to improve Arctic sea ice thickness estimates I. Sievers et al. https://doi.org/10.5194/tc-17-3721-2023
- 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. https://doi.org/10.1080/01490419.2022.2089412
- Seasonal Variability of Sea Ice Bulk Density During the MOSAiC Expedition: Results From Synergistic In Situ, Airborne, and Satellite Observations Y. Zhou et al. https://doi.org/10.1109/TGRS.2025.3650353
- Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice S. Gerland et al. https://doi.org/10.1088/1748-9326/ab09b3
- 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. https://doi.org/10.1029/2020JC016607
- Implications of climate change for shipping: Opening the Arctic seas A. Ng et al. https://doi.org/10.1002/wcc.507
- Spatiotemporal variability and decadal trends of snowmelt processes on Antarctic sea ice observed by satellite scatterometers S. Arndt & C. Haas https://doi.org/10.5194/tc-13-1943-2019
- A dataset for lake level changes in the Tibetan Plateau from 2002 and 2010 to 2021 using multi-altimeter data J. Chen et al. https://doi.org/10.5194/essd-17-4235-2025
- A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data R. Ricker et al. https://doi.org/10.5194/tc-11-1607-2017
- Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4 Y. Xiu et al. https://doi.org/10.1017/jog.2020.110
- Using Sea Surface Temperature Observations to Constrain Upper Ocean Properties in an Arctic Sea Ice‐Ocean Data Assimilation System X. Liang et al. https://doi.org/10.1029/2019JC015073
- Assimilation of radar freeboard and snow altimetry observations in the Arctic and Antarctic with a coupled ocean/sea ice modelling system A. Chenal et al. https://doi.org/10.5194/tc-20-369-2026
- The Challenge of Arctic Sea Ice Thickness Prediction by ECMWF on Subseasonal Time Scales Y. Xiu et al. https://doi.org/10.1029/2021GL097476
- Arctic Snow Depth, Ice Thickness, and Volume From ICESat‐2 and CryoSat‐2: 2018–2021 S. Kacimi & R. Kwok https://doi.org/10.1029/2021GL097448
- Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system R. Allard et al. https://doi.org/10.1016/j.asr.2017.12.030
- 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. https://doi.org/10.5194/tc-17-2487-2023
- Variability scaling and consistency in airborne and satellite altimetry measurements of Arctic sea ice S. Xu et al. https://doi.org/10.5194/tc-14-751-2020
- Possibilities of investigating ice development of the Kara sea based on CryoSat-2 and SMOS data V. Kirillov et al. https://doi.org/10.30758/0555-2648-2023-69-1-10-28
- The Impact of Geophysical Corrections on Sea-Ice Freeboard Retrieved from Satellite Altimetry R. Ricker et al. https://doi.org/10.3390/rs8040317
- Pan‐Arctic sea ice‐algal chl a biomass and suitable habitat are largely underestimated for multiyear ice B. Lange et al. https://doi.org/10.1111/gcb.13742
- Satellite-based sea ice thickness changes in the Laptev Sea from 2002 to 2017: comparison to mooring observations H. Belter et al. https://doi.org/10.5194/tc-14-2189-2020
- Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST S. Prasad et al. https://doi.org/10.5194/tc-12-3949-2018
- Daily-scale spatiotemporal prediction of thin sea ice thickness during the early freezing season based on EOF-Trans J. Liu et al. https://doi.org/10.3389/fmars.2026.1657592
- Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al. https://doi.org/10.5194/os-19-1375-2023
- Estimating snow depth over Arctic sea ice from calibrated dual-frequency radar freeboards I. Lawrence et al. https://doi.org/10.5194/tc-12-3551-2018
- Estimation of Arctic Sea Ice Thickness from Chinese HY-2B Radar Altimetry Data M. Jiang et al. https://doi.org/10.3390/rs15051180
- Validation of Sea-Ice Topographic Heights Derived From TanDEM-X Interferometric SAR Data With Results From Laser Profiler and Photogrammetry T. Yitayew et al. https://doi.org/10.1109/TGRS.2018.2839590
- 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. https://doi.org/10.1038/s41598-023-36179-0
- Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool A. Lauer et al. https://doi.org/10.1016/j.rse.2017.01.007
- The opening of the Transpolar Sea Route: Logistical, geopolitical, environmental, and socioeconomic impacts M. Bennett et al. https://doi.org/10.1016/j.marpol.2020.104178
- Potential for estimation of snow depth on Arctic sea ice from CryoSat-2 and SARAL/AltiKa missions K. Guerreiro et al. https://doi.org/10.1016/j.rse.2016.07.013
- Winter Coastal Divergence as a Predictor for the Minimum Sea Ice Extent in the Laptev Sea C. Brunette et al. https://doi.org/10.1175/JCLI-D-18-0169.1
- 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. https://doi.org/10.5194/tc-15-2429-2021
- Simulated Ka- and Ku-band radar altimeter height and freeboard estimation on snow-covered Arctic sea ice R. Tonboe et al. https://doi.org/10.5194/tc-15-1811-2021
- SMOS-derived Antarctic thin sea ice thickness: data description and validation in the Weddell Sea L. Kaleschke et al. https://doi.org/10.5194/essd-16-3149-2024
- Ensemble-based estimation of sea-ice volume variations in the Baffin Bay C. Min et al. https://doi.org/10.5194/tc-15-169-2021
- Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020 F. Garnier et al. https://doi.org/10.3390/rs14194741
- Anticipating CRISTAL: an exploration of multi-frequency satellite altimeter snow depth estimates over Arctic sea ice, 2018–2023 J. Landy et al. https://doi.org/10.5194/tc-20-183-2026
- 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 https://doi.org/10.1002/2016GL069333
- Retrieval of Antarctic sea ice freeboard and thickness from HY-2B satellite altimeter data Y. Chen et al. https://doi.org/10.1007/s13131-023-2250-2
- Comparison of direct measurements of sea ice thickness and snow height, CryoSat-2 observations and PIOMAS numerical estimates V. Smolyanitsky et al. https://doi.org/10.30758/0555-2648-2020-66-3-337-348
- Feasibility of retrieving Arctic sea ice thickness from the Chinese HY-2B Ku-band radar altimeter Z. Dong et al. https://doi.org/10.5194/tc-17-1389-2023
- Wideband Radiometry From P to S Band for Monitoring Polar Regions G. Macelloni et al. https://doi.org/10.1109/JPROC.2026.3653571
- Estimating Arctic Sea Ice Thickness with CryoSat-2 Altimetry Data Using the Least Squares Adjustment Method F. Xiao et al. https://doi.org/10.3390/s20247011
- 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. https://doi.org/10.1175/JCLI-D-21-0199.1
- 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. https://doi.org/10.3389/fmars.2019.00429
- Arctic sea ice thickness variations from CryoSat-2 satellite altimetry data F. Xiao et al. https://doi.org/10.1007/s11430-020-9777-9
- 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. https://doi.org/10.1109/TGRS.2023.3265274
- 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. https://doi.org/10.1109/JSTARS.2021.3114228
- Multi-frequency altimetry snow depth estimates over heterogeneous snow-covered Antarctic summer sea ice – Part 1: C∕S-, Ku-, and Ka-band airborne observations R. Fredensborg Hansen et al. https://doi.org/10.5194/tc-19-4167-2025
- Two Decades of Arctic Sea-Ice Thickness from Satellite Altimeters: Retrieval Approaches and Record of Changes (2003–2023) S. Kacimi & R. Kwok https://doi.org/10.3390/rs16162983
- Comparing elevation and backscatter retrievals from CryoSat-2 and ICESat-2 over Arctic summer sea ice G. Dawson & J. Landy https://doi.org/10.5194/tc-17-4165-2023
- Year-round sea ice and snow characterization from combined passive and active microwave observations and radiative transfer modeling C. Soriot et al. https://doi.org/10.1016/j.rse.2022.113061
- 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. https://doi.org/10.5194/tc-16-61-2022
- Sensitivity of Radar Altimeter Waveform to Changes in Sea Ice Type at Resolution of Synthetic Aperture Radar W. Aldenhoff et al. https://doi.org/10.3390/rs11222602
- A Preliminary Investigation of Arctic Sea Ice Negative Freeboard from in-situ Observations and Radar Altimetry S. Li et al. https://doi.org/10.1007/s11802-021-4380-5
- Retrievals of Arctic Sea‐Ice Volume and Its Trend Significantly Affected by Interannual Snow Variability F. Bunzel et al. https://doi.org/10.1029/2018GL078867
- Improving CryoSat-2 SARIn L1b Products to Account for Inaccurate Phase Difference: Impact on Sea Ice Freeboard Retrieval A. Di Bella et al. https://doi.org/10.1109/LGRS.2019.2919946
- Arctic Snow Depth and Sea Ice Thickness From ICESat‐2 and CryoSat‐2 Freeboards: A First Examination R. Kwok et al. https://doi.org/10.1029/2019JC016008
- Variability of Winter Snow Properties on Different Spatial Scales in the Weddell Sea S. Arndt & S. Paul https://doi.org/10.1029/2018JC014447
- A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era J. Anheuser et al. https://doi.org/10.5194/tc-17-2871-2023
- Arctic Sea Ice Thickness Estimation From Passive Microwave Satellite Observations Between 1.4 and 36 GHz C. Soriot et al. https://doi.org/10.1029/2022EA002542
- Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data S. Zhang et al. https://doi.org/10.3390/rs13081414
- Bohai Sea Ice Parameter Estimation Based on Thermodynamic Ice Model and Earth Observation Data J. Karvonen et al. https://doi.org/10.3390/rs9030234
- Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system J. Xie et al. https://doi.org/10.5194/tc-10-2745-2016
- Rapid thinning of lake ice for Himalayan glacial lakes since 2010 M. Zhang et al. https://doi.org/10.1016/j.rse.2025.115062
- An Attempt to Improve Snow Depth Retrieval Using Satellite Microwave Radiometry for Rough Antarctic Sea Ice S. Kern & B. Ozsoy https://doi.org/10.3390/rs11192323
- 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. https://doi.org/10.5194/gmd-14-1101-2021
- A comparison of Arctic sea ice freeboard products from Sentinel-3A and CryoSat-2 data X. Shen et al. https://doi.org/10.1080/01431161.2019.1698078
- Unprecedented Arctic sea ice thickness loss and multiyear-ice volume export through Fram Strait during 2010–2011 X. Li et al. https://doi.org/10.1088/1748-9326/ac8be7
- Improved Arctic Sea Ice Freeboard Retrieval From Satellite Altimetry Using Optimized Sea Surface Decorrelation Scales J. Landy et al. https://doi.org/10.1029/2021JC017466
- An Arctic Sea Ice Thickness Inversion Method Based on Deep Learning Two-Branch Architecture and Multisource Remote Sensing Data Fusion R. Huang et al. https://doi.org/10.1109/JSTARS.2025.3636999
- An Improved Antarctic Sea Ice Thickness Dataset Derived from CryoSat-2 Using LightGBM Z. Ma et al. https://doi.org/10.1007/s00376-026-5885-z
- A new Arctic MSS model derived from combined Cryosat-2 and ICESat observations G. Chen et al. https://doi.org/10.1080/17538947.2022.2153181
- Structure and Performance of GFDL's CM4.0 Climate Model I. Held et al. https://doi.org/10.1029/2019MS001829
- Estimating snow depth on Arctic sea ice using satellite microwave radiometry and a neural network A. Braakmann-Folgmann & C. Donlon https://doi.org/10.5194/tc-13-2421-2019
- Evaluation and fusion of multi-source sea ice thickness products with limited in-situ observations T. Li et al. https://doi.org/10.3389/fmars.2024.1464391
- Uncertainty reduction of Arctic sea ice freeboard from CryoSat-2 interferometric mode A. Di Bella et al. https://doi.org/10.1016/j.asr.2018.03.018
- Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. https://doi.org/10.1016/j.scib.2018.11.018
- Simultaneous Parameter Optimization of an Arctic Sea Ice–Ocean Model by a Genetic Algorithm H. Sumata et al. https://doi.org/10.1175/MWR-D-18-0360.1
- Interannual variability in Transpolar Drift summer sea ice thickness and potential impact of Atlantification H. Belter et al. https://doi.org/10.5194/tc-15-2575-2021
- A year-round satellite sea-ice thickness record from CryoSat-2 J. Landy et al. https://doi.org/10.1038/s41586-022-05058-5
- About the consistency between Envisat and CryoSat-2 radar freeboard retrieval over Antarctic sea ice S. Schwegmann et al. https://doi.org/10.5194/tc-10-1415-2016
- Near-real-time Arctic sea ice thickness and volume from CryoSat-2 R. Tilling et al. https://doi.org/10.5194/tc-10-2003-2016
- 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. https://doi.org/10.5194/tc-16-1821-2022
- Estimation of Arctic sea ice thickness from CryoSat-2 altimetry data J. Jiang et al. https://doi.org/10.1080/01431161.2023.2195575
- Sea ice export through the Fram Strait derived from a combined model and satellite data set C. Min et al. https://doi.org/10.5194/tc-13-3209-2019
- MOSAiC drift expedition from October 2019 to July 2020: sea ice conditions from space and comparison with previous years T. Krumpen et al. https://doi.org/10.5194/tc-15-3897-2021
- Assessing the representation of Arctic sea ice and the marginal ice zone in ocean–sea ice reanalyses F. Cocetta et al. https://doi.org/10.5194/tc-18-4687-2024
- Investigation of the Arctic Sea ice volume from 2002 to 2018 using multi‐source data M. Li et al. https://doi.org/10.1002/joc.6972
- Global Lake Ice Thickness Estimation Based on Multi-GNSS Reflected Signals from Tianmu-1 Constellation X. Liu et al. https://doi.org/10.1088/1742-6596/3055/1/012038
- Freeboard height and snow depth observed by floating GPS on land-fast sea ice in Nella Fjord, Antarctica Q. Zhang et al. https://doi.org/10.1017/aog.2020.41
- A comparison between Envisat and ICESat sea ice thickness in the Southern Ocean J. Wang et al. https://doi.org/10.5194/tc-16-4473-2022
- Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection S. Lee et al. https://doi.org/10.3390/rs8090698
- On the Importance of Representing Snow Over Sea‐Ice for Simulating the Arctic Boundary Layer G. Arduini et al. https://doi.org/10.1029/2021MS002777
- Estimating Arctic sea ice thickness and volume using CryoSat-2 radar altimeter data R. Tilling et al. https://doi.org/10.1016/j.asr.2017.10.051
- Reconstruction of Snow on Arctic Sea Ice E. Blanchard‐Wrigglesworth et al. https://doi.org/10.1002/2017JC013364
- Observation-constrained explainable reconstruction of snow depth on Antarctic sea ice reveals strong regional asymmetry during 1993–2021 Y. Cao et al. https://doi.org/10.1016/j.accre.2026.07.008
- Implications of surface flooding on airborne estimates of snow depth on sea ice A. Rösel et al. https://doi.org/10.5194/tc-15-2819-2021
- Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. https://doi.org/10.1029/2019JC015820
- A Spring Barrier for Regional Predictions of Summer Arctic Sea Ice D. Bonan et al. https://doi.org/10.1029/2019GL082947
- Intensity of Level Ice Simulated with the CICE Model for Oil-Gas Exploitation in the Southern Kara Sea, Arctic C. Duan et al. https://doi.org/10.1007/s11802-022-4914-5
- 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. https://doi.org/10.1029/2018JC014316
- Sea ice local surface topography from single-pass satellite InSAR measurements: a feasibility study W. Dierking et al. https://doi.org/10.5194/tc-11-1967-2017
- Unusual drift behaviour of multi-year sea ice in the Beaufort Sea during summer 2018 N. Kimura et al. https://doi.org/10.33265/polar.v39.3617
- Scalable interpolation of satellite altimetry data with probabilistic machine learning W. Gregory et al. https://doi.org/10.1038/s41467-024-51900-x
- Arctic Ocean Sea Level Record from the Complete Radar Altimetry Era: 1991–2018 S. Rose et al. https://doi.org/10.3390/rs11141672
- 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. https://doi.org/10.1017/aog.2024.26
- A long-term proxy for sea ice thickness in the Canadian Arctic: 1996–2020 I. Glissenaar et al. https://doi.org/10.5194/tc-17-3269-2023
- Comparing Coincident Elevation and Freeboard From IceBridge and Five Different CryoSat-2 Retrackers D. Yi et al. https://doi.org/10.1109/TGRS.2018.2865257
- Impact of sea-ice thickness initialized in April on Arctic sea-ice extent predictability with the MIROC climate model J. Ono et al. https://doi.org/10.1017/aog.2020.13
- Suitability of the CICE sea ice model for seasonal prediction and positive impact of CryoSat-2 ice thickness initialization S. Sun & A. Solomon https://doi.org/10.5194/tc-18-3033-2024
- Effects of decimetre-scale surface roughness on L-band brightness temperature of sea ice M. Miernecki et al. https://doi.org/10.5194/tc-14-461-2020
- Simultaneous estimation of wintertime sea ice thickness and snow depth from space-borne freeboard measurements H. Shi et al. https://doi.org/10.5194/tc-14-3761-2020
- The Abundance of Atmospheric CO2 in Ocean Exoplanets: a Novel CO2 Deposition Mechanism A. Levi et al. https://doi.org/10.3847/1538-4357/aa5cfe
- Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements A. Jutila et al. https://doi.org/10.5194/tc-16-259-2022
Saved (final revised paper)
Discussed (final revised paper)
Latest update: 11 Aug 2026
