Articles | Volume 10, issue 4
The Cryosphere, 10, 1415–1425, 2016
https://doi.org/10.5194/tc-10-1415-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The Cryosphere, 10, 1415–1425, 2016
https://doi.org/10.5194/tc-10-1415-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 08 Jul 2016
Research article | 08 Jul 2016
About the consistency between Envisat and CryoSat-2 radar freeboard retrieval over Antarctic sea ice
Sandra Schwegmann et al.
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Cited
20 citations as recorded by crossref.
- Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al. 10.1029/2019MS001937
- Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice S. Gerland et al. 10.1088/1748-9326/ab09b3
- Retrieval of snow freeboard of Antarctic sea ice using waveform fitting of CryoSat-2 returns S. Fons & N. Kurtz 10.5194/tc-13-861-2019
- Comparison of CryoSat-2 and ENVISAT radar freeboard over Arctic sea ice: toward an improved Envisat freeboard retrieval K. Guerreiro et al. 10.5194/tc-11-2059-2017
- Spatio-temporal variability of Antarctic sea-ice thickness and volume obtained from ICESat data using an innovative algorithm H. Li et al. 10.1016/j.rse.2018.09.031
- Community review of Southern Ocean satellite data needs A. Pope et al. 10.1017/S0954102016000390
- Variability of Winter Snow Properties on Different Spatial Scales in the Weddell Sea S. Arndt & S. Paul 10.1029/2018JC014447
- 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
- Snow-driven uncertainty in CryoSat-2-derived Antarctic sea ice thickness – insights from McMurdo Sound D. Price et al. 10.5194/tc-13-1409-2019
- 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
- Estimating Arctic sea ice thickness and volume using CryoSat-2 radar altimeter data R. Tilling et al. 10.1016/j.asr.2017.10.051
- Snow Depth and Air Temperature Seasonality on Sea Ice Derived From Snow Buoy Measurements M. Nicolaus et al. 10.3389/fmars.2021.655446
- A comparison of Arctic sea ice freeboard products from Sentinel-3A and CryoSat-2 data X. Shen et al. 10.1080/01431161.2019.1698078
- CryoSat: ESA’s ice mission – Eight years in space T. Parrinello et al. 10.1016/j.asr.2018.04.014
- 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
- Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea Q. Shi et al. 10.5194/tc-15-31-2021
- Estimating snow depth over Arctic sea ice from calibrated dual-frequency radar freeboards I. Lawrence et al. 10.5194/tc-12-3551-2018
- Delivering Sustained, Coordinated, and Integrated Observations of the Southern Ocean for Global Impact L. Newman et al. 10.3389/fmars.2019.00433
- Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data S. Zhang et al. 10.3390/rs13081414
- Antarctic Sea-Ice Thickness Retrieval from ICESat: Inter-Comparison of Different Approaches S. Kern et al. 10.3390/rs8070538
19 citations as recorded by crossref.
- Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al. 10.1029/2019MS001937
- Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice S. Gerland et al. 10.1088/1748-9326/ab09b3
- Retrieval of snow freeboard of Antarctic sea ice using waveform fitting of CryoSat-2 returns S. Fons & N. Kurtz 10.5194/tc-13-861-2019
- Comparison of CryoSat-2 and ENVISAT radar freeboard over Arctic sea ice: toward an improved Envisat freeboard retrieval K. Guerreiro et al. 10.5194/tc-11-2059-2017
- Spatio-temporal variability of Antarctic sea-ice thickness and volume obtained from ICESat data using an innovative algorithm H. Li et al. 10.1016/j.rse.2018.09.031
- Community review of Southern Ocean satellite data needs A. Pope et al. 10.1017/S0954102016000390
- Variability of Winter Snow Properties on Different Spatial Scales in the Weddell Sea S. Arndt & S. Paul 10.1029/2018JC014447
- 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
- Snow-driven uncertainty in CryoSat-2-derived Antarctic sea ice thickness – insights from McMurdo Sound D. Price et al. 10.5194/tc-13-1409-2019
- 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
- Estimating Arctic sea ice thickness and volume using CryoSat-2 radar altimeter data R. Tilling et al. 10.1016/j.asr.2017.10.051
- Snow Depth and Air Temperature Seasonality on Sea Ice Derived From Snow Buoy Measurements M. Nicolaus et al. 10.3389/fmars.2021.655446
- A comparison of Arctic sea ice freeboard products from Sentinel-3A and CryoSat-2 data X. Shen et al. 10.1080/01431161.2019.1698078
- CryoSat: ESA’s ice mission – Eight years in space T. Parrinello et al. 10.1016/j.asr.2018.04.014
- 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
- Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea Q. Shi et al. 10.5194/tc-15-31-2021
- Estimating snow depth over Arctic sea ice from calibrated dual-frequency radar freeboards I. Lawrence et al. 10.5194/tc-12-3551-2018
- Delivering Sustained, Coordinated, and Integrated Observations of the Southern Ocean for Global Impact L. Newman et al. 10.3389/fmars.2019.00433
- Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data S. Zhang et al. 10.3390/rs13081414
1 citations as recorded by crossref.
Saved (preprint)
Latest update: 18 Apr 2021
Short summary
Our study aimed to investigate whether CS-2 and Envisat radar freeboard can be merged without intermission biases in order to obtain a 20-year data set. The comparison revealed a reasonable regional agreement between radar freeboards derived from both sensors. Differences are mostly below 0.1 m for modal freeboard and even less for mean freeboard over winter months (May–October). The highest differences occur in regions with multi-year sea ice and along the coasts.
Our study aimed to investigate whether CS-2 and Envisat radar freeboard can be merged without...
