Articles | Volume 11, issue 5
https://doi.org/10.5194/tc-11-2059-2017
© Author(s) 2017. 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-11-2059-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Sep 2017
Research article |
| 04 Sep 2017
Comparison of CryoSat-2 and ENVISAT radar freeboard over Arctic sea ice: toward an improved Envisat freeboard retrieval
Kevin Guerreiro
CORRESPONDING AUTHOR
Laboratoire d'Etudes en Géophysique et Océanographie Spatiales, Centre National de la Recherche Scientifique (LEGOS – CNRS, UMR5566), Université de Toulouse, 31400 Toulouse, France
Sara Fleury
Laboratoire d'Etudes en Géophysique et Océanographie Spatiales, Centre National de la Recherche Scientifique (LEGOS – CNRS, UMR5566), Université de Toulouse, 31400 Toulouse, France
Elena Zakharova
Laboratoire d'Etudes en Géophysique et Océanographie Spatiales, Centre National de la Recherche Scientifique (LEGOS – CNRS, UMR5566), Université de Toulouse, 31400 Toulouse, France
State Oceanography Institute, St. Petersburg Branch, St. Petersburg, Russia
Alexei Kouraev
Laboratoire d'Etudes en Géophysique et Océanographie Spatiales, Centre National de la Recherche Scientifique (LEGOS – CNRS, UMR5566), Université de Toulouse, 31400 Toulouse, France
State Oceanography Institute, St. Petersburg Branch, St. Petersburg, Russia
Department of Hydrology, Tomsk State University, Tomsk, Russia
Frédérique Rémy
Laboratoire d'Etudes en Géophysique et Océanographie Spatiales, Centre National de la Recherche Scientifique (LEGOS – CNRS, UMR5566), Université de Toulouse, 31400 Toulouse, France
Philippe Maisongrande
Laboratoire d'Etudes en Géophysique et Océanographie Spatiales, Centre National de la Recherche Scientifique (LEGOS – CNRS, UMR5566), Université de Toulouse, 31400 Toulouse, France
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- Arctic Sea Ice Lead Detection from Chinese HY-2B Radar Altimeter Data W. Zhong et al. 10.3390/rs15020516
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- Extending the Arctic sea ice freeboard and sea level record with the Sentinel-3 radar altimeters I. Lawrence et al. 10.1016/j.asr.2019.10.011
- Radar altimeter waveform simulations in Antarctica with the Snow Microwave Radiative Transfer Model (SMRT) F. Larue et al. 10.1016/j.rse.2021.112534
- Investigation of the Arctic Sea ice volume from 2002 to 2018 using multi‐source data M. Li et al. 10.1002/joc.6972
- 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
- Estimation of Arctic Sea Ice Thickness from Chinese HY-2B Radar Altimetry Data M. Jiang et al. 10.3390/rs15051180
- Toward improved sea ice freeboard observation with SAR altimetry using the physical retracker SAMOSA+ A. Laforge et al. 10.1016/j.asr.2020.02.001
- A Methodology for Fitting the Time Series of Snow Depth on the Arctic Sea Ice Y. Wang et al. 10.1175/JTECH-D-18-0093.1
- Sea Surface Signal Extraction for Photon-Counting LiDAR Data: A General Method by Dual-Signal Unmixing Parameters Z. Wen et al. 10.1109/JSTARS.2023.3329962
- Improving Met Office seasonal predictions of Arctic sea ice using assimilation of CryoSat-2 thickness E. Blockley & K. Peterson 10.5194/tc-12-3419-2018
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- Estimating the sea ice floe size distribution using satellite altimetry: theory, climatology, and model comparison C. Horvat et al. 10.5194/tc-13-2869-2019
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- Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. 10.1007/s10712-023-09781-0
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- A comparison of Arctic sea ice freeboard products from Sentinel-3A and CryoSat-2 data X. Shen et al. 10.1080/01431161.2019.1698078
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- Retrieving Sea Level and Freeboard in the Arctic: A Review of Current Radar Altimetry Methodologies and Future Perspectives G. Quartly et al. 10.3390/rs11070881
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- Estimating Arctic Sea Ice Thickness with CryoSat-2 Altimetry Data Using the Least Squares Adjustment Method F. Xiao et al. 10.3390/s20247011
- Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. 10.1029/2019JC015820
- Improved Arctic Sea Ice Freeboard Retrieval From Satellite Altimetry Using Optimized Sea Surface Decorrelation Scales J. Landy et al. 10.1029/2021JC017466
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45 citations as recorded by crossref.
- Linking timescale-dependent Antarctic sea ice kinematic observations to ice thickness T. Tian et al. 10.1016/j.rse.2023.113813
- Assessment of contemporary satellite sea ice thickness products for Arctic sea ice H. Sallila et al. 10.5194/tc-13-1187-2019
- Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020 F. Garnier et al. 10.3390/rs14194741
- Arctic Sea Ice Lead Detection from Chinese HY-2B Radar Altimeter Data W. Zhong et al. 10.3390/rs15020516
- Monitoring Arctic thin ice: a comparison between CryoSat-2 SAR altimetry data and MODIS thermal-infrared imagery F. Müller et al. 10.5194/tc-17-809-2023
- A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval J. Anheuser et al. 10.5194/tc-16-4403-2022
- A dataset for lake level changes in the Tibetan Plateau from 2002 and 2010 to 2021 using multi-altimeter data J. Chen et al. 10.5194/essd-17-4235-2025
- Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative S. Paul et al. 10.5194/tc-12-2437-2018
- Extending the Arctic sea ice freeboard and sea level record with the Sentinel-3 radar altimeters I. Lawrence et al. 10.1016/j.asr.2019.10.011
- Radar altimeter waveform simulations in Antarctica with the Snow Microwave Radiative Transfer Model (SMRT) F. Larue et al. 10.1016/j.rse.2021.112534
- Investigation of the Arctic Sea ice volume from 2002 to 2018 using multi‐source data M. Li et al. 10.1002/joc.6972
- 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
- Estimation of Arctic Sea Ice Thickness from Chinese HY-2B Radar Altimetry Data M. Jiang et al. 10.3390/rs15051180
- Toward improved sea ice freeboard observation with SAR altimetry using the physical retracker SAMOSA+ A. Laforge et al. 10.1016/j.asr.2020.02.001
- A Methodology for Fitting the Time Series of Snow Depth on the Arctic Sea Ice Y. Wang et al. 10.1175/JTECH-D-18-0093.1
- Sea Surface Signal Extraction for Photon-Counting LiDAR Data: A General Method by Dual-Signal Unmixing Parameters Z. Wen et al. 10.1109/JSTARS.2023.3329962
- Improving Met Office seasonal predictions of Arctic sea ice using assimilation of CryoSat-2 thickness E. Blockley & K. Peterson 10.5194/tc-12-3419-2018
- 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
- Simultaneous estimation of wintertime sea ice thickness and snow depth from space-borne freeboard measurements H. Shi et al. 10.5194/tc-14-3761-2020
- Arctic sea ice radar freeboard retrieval from the European Remote-Sensing Satellite (ERS-2) using altimetry: toward sea ice thickness observation from 1995 to 2021 M. Bocquet et al. 10.5194/tc-17-3013-2023
- Estimating the sea ice floe size distribution using satellite altimetry: theory, climatology, and model comparison C. Horvat et al. 10.5194/tc-13-2869-2019
- Comparing elevation and backscatter retrievals from CryoSat-2 and ICESat-2 over Arctic summer sea ice G. Dawson & J. Landy 10.5194/tc-17-4165-2023
- Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. 10.1007/s10712-023-09781-0
- Antarctic ice surface properties inferred from Ka and Ku band altimeter waveforms P. Patel et al. 10.1080/01490419.2024.2402013
- A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era J. Anheuser et al. 10.5194/tc-17-2871-2023
- Impact of atmospheric forcing uncertainties on Arctic and Antarctic sea ice simulations in CMIP6 OMIP models X. Lin et al. 10.5194/tc-17-1935-2023
- A multi-frequency altimetry snow depth product over Arctic sea ice A. Carret et al. 10.1038/s41597-024-04343-4
- SITool (v1.0) – a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP X. Lin et al. 10.5194/gmd-14-6331-2021
- Estimating snow depth over Arctic sea ice from calibrated dual-frequency radar freeboards I. Lawrence et al. 10.5194/tc-12-3551-2018
- CryoSat Ice Baseline-D validation and evolutions M. Meloni et al. 10.5194/tc-14-1889-2020
- Modelling landfast sea ice and its influence on ocean–ice interactions in the area of the Totten Glacier, East Antarctica G. Van Achter et al. 10.1016/j.ocemod.2021.101920
- Overwinter sea-ice characteristics important for Antarctic krill recruitment in the southwest Atlantic D. Veytia et al. 10.1016/j.ecolind.2021.107934
- Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission C. Herbert et al. 10.3390/rs13071366
- Altimetry for the future: Building on 25 years of progress S. Abdalla et al. 10.1016/j.asr.2021.01.022
- A comparison of Arctic sea ice freeboard products from Sentinel-3A and CryoSat-2 data X. Shen et al. 10.1080/01431161.2019.1698078
- Retrieval of thin-ice thickness in arctic marginal seas through a combination of thermal and optical observations from polar orbiting satellites Z. Suo et al. 10.1080/15481603.2025.2567117
- A Facet-Based Numerical Model for Simulating SAR Altimeter Echoes From Heterogeneous Sea Ice Surfaces J. Landy et al. 10.1109/TGRS.2018.2889763
- Retrieving Sea Level and Freeboard in the Arctic: A Review of Current Radar Altimetry Methodologies and Future Perspectives G. Quartly et al. 10.3390/rs11070881
- Advances in altimetric snow depth estimates using bi-frequency SARAL and CryoSat-2 Ka–Ku measurements F. Garnier et al. 10.5194/tc-15-5483-2021
- Estimating Arctic Sea Ice Thickness with CryoSat-2 Altimetry Data Using the Least Squares Adjustment Method F. Xiao et al. 10.3390/s20247011
- Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. 10.1029/2019JC015820
- Improved Arctic Sea Ice Freeboard Retrieval From Satellite Altimetry Using Optimized Sea Surface Decorrelation Scales J. Landy et al. 10.1029/2021JC017466
- A new Arctic MSS model derived from combined Cryosat-2 and ICESat observations G. Chen et al. 10.1080/17538947.2022.2153181
- Assessing the Impact of Lead and Floe Sampling on Arctic Sea Ice Thickness Estimates from Envisat and CryoSat‐2 R. Tilling et al. 10.1029/2019JC015232
- Satellite-based sea ice thickness changes in the Laptev Sea from 2002 to 2017: comparison to mooring observations H. Belter et al. 10.5194/tc-14-2189-2020
Latest update: 31 Oct 2025
Short summary
We analyse CryoSat-2 and Envisat freeboard height discrepancy over Arctic sea ice and we study the potential role of ice roughness.
Based on our results, we build a CryoSat-2-like version of Envisat freeboard height. The improved Envisat freeboard is converted to sea ice draught and compared to in situ mooring observations to demonstrate the potential of our methodology to produce accurate ice thickness estimates over the 2002–2012 period.
We analyse CryoSat-2 and Envisat freeboard height discrepancy over Arctic sea ice and we study...
