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
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
16 citations as recorded by crossref.
- Probabilistic Forecasts of Arctic Sea Ice Thickness P. Gao et al. 10.1007/s13253-021-00480-0
- 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
- 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
- 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
- Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. 10.1029/2019JC015820
- The Scientific Legacy of NASA’s Operation IceBridge J. MacGregor et al. 10.1029/2020RG000712
- 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
- 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
- Implications of surface flooding on airborne estimates of snow depth on sea ice A. Rösel et al. 10.5194/tc-15-2819-2021
- Improved Arctic Sea Ice Freeboard Retrieval From Satellite Altimetry Using Optimized Sea Surface Decorrelation Scales J. Landy et al. 10.1029/2021JC017466
- Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements A. Jutila et al. 10.5194/tc-16-259-2022
- Classification of Sea Ice Summer Melt Features in High‐Resolution IceBridge Imagery E. Buckley et al. 10.1029/2019JC015738
- 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
- Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements K. Khvorostovsky et al. 10.3390/rs12183094
16 citations as recorded by crossref.
- Probabilistic Forecasts of Arctic Sea Ice Thickness P. Gao et al. 10.1007/s13253-021-00480-0
- 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
- 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
- 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
- Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. 10.1029/2019JC015820
- The Scientific Legacy of NASA’s Operation IceBridge J. MacGregor et al. 10.1029/2020RG000712
- 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
- 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
- Implications of surface flooding on airborne estimates of snow depth on sea ice A. Rösel et al. 10.5194/tc-15-2819-2021
- Improved Arctic Sea Ice Freeboard Retrieval From Satellite Altimetry Using Optimized Sea Surface Decorrelation Scales J. Landy et al. 10.1029/2021JC017466
- Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements A. Jutila et al. 10.5194/tc-16-259-2022
- Classification of Sea Ice Summer Melt Features in High‐Resolution IceBridge Imagery E. Buckley et al. 10.1029/2019JC015738
- 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
- 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 Mar 2023
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...
