Articles | Volume 13, issue 4
https://doi.org/10.5194/tc-13-1187-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-13-1187-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Apr 2019
Research article |
| 12 Apr 2019
| 12 Apr 2019
Assessment of contemporary satellite sea ice thickness products for Arctic sea ice
Heidi Sallila
CORRESPONDING AUTHOR
Marine Research, Finnish Meteorological Institute, Helsinki, Finland
Sinéad Louise Farrell
Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USA
Joshua McCurry
Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA
Eero Rinne
Marine Research, Finnish Meteorological Institute, Helsinki, Finland
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Cited
45 citations as recorded by crossref.
- Probabilistic Forecasts of Arctic Sea Ice Thickness P. Gao et al. 10.1007/s13253-021-00480-0
- Winter Arctic sea ice thickness from ICESat-2: upgrades to freeboard and snow loading estimates and an assessment of the first three winters of data collection A. Petty et al. 10.5194/tc-17-127-2023
- Estimation of summer pan-Arctic ice draft from satellite passive microwave observations J. Kim et al. 10.1016/j.rse.2023.113662
- Sea Ice Semantic Segmentation in Optical Image Based on Adaptive Training Sample Selection and Cross-Attention ResUNet Z. Yin et al. 10.1109/LGRS.2025.3546322
- 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
- Unprecedented decline of Arctic sea ice outflow in 2018 H. Sumata et al. 10.1038/s41467-022-29470-7
- Climate Models as Guidance for the Design of Observing Systems: the Case of Polar Climate and Sea Ice Prediction F. Massonnet 10.1007/s40641-019-00151-w
- Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products H. Li et al. 10.3390/rs17101680
- Evaluation and fusion of multi-source sea ice thickness products with limited in-situ observations T. Li et al. 10.3389/fmars.2024.1464391
- The Scientific Legacy of NASA’s Operation IceBridge J. MacGregor et al. 10.1029/2020RG000712
- 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
- Early predictors of seasonal Arctic sea-ice volume loss: the impact of spring and early-summer cloud radiative conditions M. King et al. 10.1017/aog.2020.60
- 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
- Assimilating CryoSat-2 freeboard to improve Arctic sea ice thickness estimates I. Sievers et al. 10.5194/tc-17-3721-2023
- Continuous measurement of sea ice freeboard with tide gauges and GNSS interferometric reflectometry S. Xie 10.1016/j.rse.2022.113165
- Feasibility of the Northern Sea Route: Impact of Sea Ice Thickness Uncertainty on Navigation T. Li et al. 10.3390/jmse12071078
- Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements A. Jutila et al. 10.5194/tc-16-259-2022
- The Copernicus Polar Ice and Snow Topography Altimeter (CRISTAL) high-priority candidate mission M. Kern et al. 10.5194/tc-14-2235-2020
- Year-round impact of winter sea ice thickness observations on seasonal forecasts B. Balan-Sarojini et al. 10.5194/tc-15-325-2021
- The risk of synoptic-scale Arctic cyclones to shipping A. Vessey et al. 10.5194/nhess-24-2115-2024
- Estimation of Daily Arctic Winter Sea Ice Thickness from Thermodynamic Parameters Using a Self-Attention Convolutional Neural Network Z. Liang et al. 10.3390/rs15071887
- A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval J. Anheuser et al. 10.5194/tc-16-4403-2022
- 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
- A Sea Ice Recognition Algorithm in Bohai Based on Random Forest T. Li et al. 10.32604/cmc.2022.029619
- A dataset of direct observations of sea ice drift and waves in ice J. Rabault et al. 10.1038/s41597-023-02160-9
- Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. 10.1007/s10712-023-09781-0
- Impact assessment of snow thickness, sea ice density and water density in CryoSat-2-derived sea ice thickness I. Sievers et al. 10.5194/tc-18-5985-2024
- 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
- Variability of Arctic Sea ice age and its relationship with atmospheric circulation patterns P. Chen et al. 10.3389/fmars.2023.1274665
- 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
- Advancing Sea Ice Thickness Hindcast with Deep Learning: A WGAN-LSTM Approach B. Gao et al. 10.3390/w17091263
- Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. 10.1029/2019JC015820
- An enhancement to sea ice motion and age products at the National Snow and Ice Data Center (NSIDC) M. Tschudi et al. 10.5194/tc-14-1519-2020
- Implications of surface flooding on airborne estimates of snow depth on sea ice A. Rösel et al. 10.5194/tc-15-2819-2021
- Navigability of the Northern Sea Route for Arc7 ice-class vessels during winter and spring sea-ice conditions S. CHEN et al. 10.1016/j.accre.2022.09.005
- Improved Arctic Sea Ice Freeboard Retrieval From Satellite Altimetry Using Optimized Sea Surface Decorrelation Scales J. Landy et al. 10.1029/2021JC017466
- Seasonality and timing of sea ice mass balance and heat fluxes in the Arctic transpolar drift during 2019–2020 R. Lei et al. 10.1525/elementa.2021.000089
- Intercomparisons and Evaluations of Satellite-Derived Arctic Sea Ice Thickness Products F. Chen et al. 10.3390/rs16030508
- Ice bottom evolution derived from thermistor string-based ice mass balance buoy observations Z. Liao et al. 10.1080/17538947.2023.2242326
- A Spatiotemporal Comparison and Assessment of Multisource Satellite Derived Sea Ice Thickness in the Arctic Thinner Ice Region Y. Zhang et al. 10.1109/JSTARS.2024.3390618
- Reconstruction of Arctic sea ice thickness (1992–2010) based on a hybrid machine learning and data assimilation approach L. Edel et al. 10.5194/tc-19-731-2025
- Arctic Sea Ice Thickness Estimation From Passive Microwave Satellite Observations Between 1.4 and 36 GHz C. Soriot et al. 10.1029/2022EA002542
- 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
- Experimental Research on Ice Density Measurement Method Based on Ultrasonic Waves X. Chang et al. 10.3390/w15234065
- Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements K. Khvorostovsky et al. 10.3390/rs12183094
45 citations as recorded by crossref.
- Probabilistic Forecasts of Arctic Sea Ice Thickness P. Gao et al. 10.1007/s13253-021-00480-0
- Winter Arctic sea ice thickness from ICESat-2: upgrades to freeboard and snow loading estimates and an assessment of the first three winters of data collection A. Petty et al. 10.5194/tc-17-127-2023
- Estimation of summer pan-Arctic ice draft from satellite passive microwave observations J. Kim et al. 10.1016/j.rse.2023.113662
- Sea Ice Semantic Segmentation in Optical Image Based on Adaptive Training Sample Selection and Cross-Attention ResUNet Z. Yin et al. 10.1109/LGRS.2025.3546322
- 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
- Unprecedented decline of Arctic sea ice outflow in 2018 H. Sumata et al. 10.1038/s41467-022-29470-7
- Climate Models as Guidance for the Design of Observing Systems: the Case of Polar Climate and Sea Ice Prediction F. Massonnet 10.1007/s40641-019-00151-w
- Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products H. Li et al. 10.3390/rs17101680
- Evaluation and fusion of multi-source sea ice thickness products with limited in-situ observations T. Li et al. 10.3389/fmars.2024.1464391
- The Scientific Legacy of NASA’s Operation IceBridge J. MacGregor et al. 10.1029/2020RG000712
- 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
- Early predictors of seasonal Arctic sea-ice volume loss: the impact of spring and early-summer cloud radiative conditions M. King et al. 10.1017/aog.2020.60
- 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
- Assimilating CryoSat-2 freeboard to improve Arctic sea ice thickness estimates I. Sievers et al. 10.5194/tc-17-3721-2023
- Continuous measurement of sea ice freeboard with tide gauges and GNSS interferometric reflectometry S. Xie 10.1016/j.rse.2022.113165
- Feasibility of the Northern Sea Route: Impact of Sea Ice Thickness Uncertainty on Navigation T. Li et al. 10.3390/jmse12071078
- Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements A. Jutila et al. 10.5194/tc-16-259-2022
- The Copernicus Polar Ice and Snow Topography Altimeter (CRISTAL) high-priority candidate mission M. Kern et al. 10.5194/tc-14-2235-2020
- Year-round impact of winter sea ice thickness observations on seasonal forecasts B. Balan-Sarojini et al. 10.5194/tc-15-325-2021
- The risk of synoptic-scale Arctic cyclones to shipping A. Vessey et al. 10.5194/nhess-24-2115-2024
- Estimation of Daily Arctic Winter Sea Ice Thickness from Thermodynamic Parameters Using a Self-Attention Convolutional Neural Network Z. Liang et al. 10.3390/rs15071887
- A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval J. Anheuser et al. 10.5194/tc-16-4403-2022
- 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
- A Sea Ice Recognition Algorithm in Bohai Based on Random Forest T. Li et al. 10.32604/cmc.2022.029619
- A dataset of direct observations of sea ice drift and waves in ice J. Rabault et al. 10.1038/s41597-023-02160-9
- Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. 10.1007/s10712-023-09781-0
- Impact assessment of snow thickness, sea ice density and water density in CryoSat-2-derived sea ice thickness I. Sievers et al. 10.5194/tc-18-5985-2024
- 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
- Variability of Arctic Sea ice age and its relationship with atmospheric circulation patterns P. Chen et al. 10.3389/fmars.2023.1274665
- 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
- Advancing Sea Ice Thickness Hindcast with Deep Learning: A WGAN-LSTM Approach B. Gao et al. 10.3390/w17091263
- Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. 10.1029/2019JC015820
- An enhancement to sea ice motion and age products at the National Snow and Ice Data Center (NSIDC) M. Tschudi et al. 10.5194/tc-14-1519-2020
- Implications of surface flooding on airborne estimates of snow depth on sea ice A. Rösel et al. 10.5194/tc-15-2819-2021
- Navigability of the Northern Sea Route for Arc7 ice-class vessels during winter and spring sea-ice conditions S. CHEN et al. 10.1016/j.accre.2022.09.005
- Improved Arctic Sea Ice Freeboard Retrieval From Satellite Altimetry Using Optimized Sea Surface Decorrelation Scales J. Landy et al. 10.1029/2021JC017466
- Seasonality and timing of sea ice mass balance and heat fluxes in the Arctic transpolar drift during 2019–2020 R. Lei et al. 10.1525/elementa.2021.000089
- Intercomparisons and Evaluations of Satellite-Derived Arctic Sea Ice Thickness Products F. Chen et al. 10.3390/rs16030508
- Ice bottom evolution derived from thermistor string-based ice mass balance buoy observations Z. Liao et al. 10.1080/17538947.2023.2242326
- A Spatiotemporal Comparison and Assessment of Multisource Satellite Derived Sea Ice Thickness in the Arctic Thinner Ice Region Y. Zhang et al. 10.1109/JSTARS.2024.3390618
- Reconstruction of Arctic sea ice thickness (1992–2010) based on a hybrid machine learning and data assimilation approach L. Edel et al. 10.5194/tc-19-731-2025
- Arctic Sea Ice Thickness Estimation From Passive Microwave Satellite Observations Between 1.4 and 36 GHz C. Soriot et al. 10.1029/2022EA002542
- 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
- Experimental Research on Ice Density Measurement Method Based on Ultrasonic Waves X. Chang et al. 10.3390/w15234065
- Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements K. Khvorostovsky et al. 10.3390/rs12183094
Latest update: 30 May 2025
Short summary
We assess 8 years of sea ice thickness observations derived from measurements of CryoSat-2 (CS2), AVHRR and SMOS satellites, collating key details of primary interest to users. We find a number of differences among data products but find that CS2 measurements are reliable for sea ice thickness, particularly between ~ 0.5 and 4 m. Regional comparisons reveal noticeable differences in ice thickness between products, particularly in the marginal seas in areas of considerable ship traffic.
We assess 8 years of sea ice thickness observations derived from measurements of CryoSat-2...
