Articles | Volume 11, issue 3
https://doi.org/10.5194/tc-11-1041-2017
© 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-11-1041-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A revised calibration of the interferometric mode of the CryoSat-2 radar altimeter improves ice height and height change measurements in western Greenland
Laurence Gray
CORRESPONDING AUTHOR
Department of Geography, Environment and Geomatics, University of
Ottawa, Ottawa, ON K1N 6N5, Canada
David Burgess
Geological Survey of Canada, Natural Resources Canada, Ottawa, ON K1A 0E8, Canada
Luke Copland
Department of Geography, Environment and Geomatics, University of
Ottawa, Ottawa, ON K1N 6N5, Canada
Thorben Dunse
Department of Geosciences, University of Oslo, 0316 Oslo, Norway
Kirsty Langley
Asiaq, Greenland Survey, 3900 Nuuk, Greenland
Geir Moholdt
Norwegian Polar Institute, 9296 Tromso, Norway
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Cited
21 citations as recorded by crossref.
- Ice Sheet Topography from a New CryoSat-2 SARIn Processing Chain, and Assessment by Comparison to ICESat-2 over Antarctica J. Aublanc et al. 10.3390/rs13224508
- Satellite Remote Sensing of the Greenland Ice Sheet Ablation Zone: A Review M. Cooper & L. Smith 10.3390/rs11202405
- A Fully Focused SAR Omega-K Closed-Form Algorithm for the Sentinel-6 Radar Altimeter: Methodology and Applications S. Hernández-Burgos et al. 10.1109/TGRS.2024.3367544
- Grounding line retreat and tide-modulated ocean channels at Moscow University and Totten Glacier ice shelves, East Antarctica T. Li et al. 10.5194/tc-17-1003-2023
- The Reference Elevation Model of Antarctica I. Howat et al. 10.5194/tc-13-665-2019
- Measuring the location and width of the Antarctic grounding zone using CryoSat-2 G. Dawson & J. Bamber 10.5194/tc-14-2071-2020
- Sensitivity of glacier elevation analysis and numerical modeling to CryoSat-2 SIRAL retracking techniques T. Trantow et al. 10.1016/j.cageo.2020.104610
- CryoSat-2 swath interferometric altimetry for mapping ice elevation and elevation change N. Gourmelen et al. 10.1016/j.asr.2017.11.014
- The CryoSat interferometer: End-to-end calibration and achievable performance M. Scagliola et al. 10.1016/j.asr.2017.09.024
- Brief communication: Glacier run-off estimation using altimetry-derived basin volume change: case study at Humboldt Glacier, northwest Greenland L. Gray 10.5194/tc-15-1005-2021
- Roll Calibration for CryoSat-2: A Comprehensive Approach A. Garcia-Mondéjar et al. 10.3390/rs13020302
- Using Deep Learning to Model Elevation Differences between Radar and Laser Altimetry A. Horton et al. 10.3390/rs14246210
- Complex evolving patterns of mass loss from Antarctica’s largest glacier J. Bamber & G. Dawson 10.1038/s41561-019-0527-z
- Generation and Utility of a Digital Surface Model Based on Archived Aerial Photographs Taken by the Japanese Antarctic Research Expedition K. Moto et al. 10.4157/grj.94.1
- Systematic Errors Observed in CryoSat-2 Elevation Swaths on Mountain Glaciers and Their Implications J. Haacker et al. 10.1109/TGRS.2023.3277277
- Antarctic Grounding Line Mapping From CryoSat‐2 Radar Altimetry G. Dawson & J. Bamber 10.1002/2017GL075589
- CryoSat-2 interferometric mode calibration and validation: A case study from the Austfonna ice cap, Svalbard A. Morris et al. 10.1016/j.rse.2021.112805
- Validation of CryoSat-2 SARIn Data over Austfonna Ice Cap Using Airborne Laser Scanner Measurements L. Sandberg Sørensen et al. 10.3390/rs10091354
- CryoSat Ice Baseline-D validation and evolutions M. Meloni et al. 10.5194/tc-14-1889-2020
- Multisurface Retracker for Swath Processing of Interferometric Radar Altimetry A. Garcia-Mondejar et al. 10.1109/LGRS.2019.2913635
- Spread of Svalbard Glacier Mass Loss to Barents Sea Margins Revealed by CryoSat‐2 A. Morris et al. 10.1029/2019JF005357
21 citations as recorded by crossref.
- Ice Sheet Topography from a New CryoSat-2 SARIn Processing Chain, and Assessment by Comparison to ICESat-2 over Antarctica J. Aublanc et al. 10.3390/rs13224508
- Satellite Remote Sensing of the Greenland Ice Sheet Ablation Zone: A Review M. Cooper & L. Smith 10.3390/rs11202405
- A Fully Focused SAR Omega-K Closed-Form Algorithm for the Sentinel-6 Radar Altimeter: Methodology and Applications S. Hernández-Burgos et al. 10.1109/TGRS.2024.3367544
- Grounding line retreat and tide-modulated ocean channels at Moscow University and Totten Glacier ice shelves, East Antarctica T. Li et al. 10.5194/tc-17-1003-2023
- The Reference Elevation Model of Antarctica I. Howat et al. 10.5194/tc-13-665-2019
- Measuring the location and width of the Antarctic grounding zone using CryoSat-2 G. Dawson & J. Bamber 10.5194/tc-14-2071-2020
- Sensitivity of glacier elevation analysis and numerical modeling to CryoSat-2 SIRAL retracking techniques T. Trantow et al. 10.1016/j.cageo.2020.104610
- CryoSat-2 swath interferometric altimetry for mapping ice elevation and elevation change N. Gourmelen et al. 10.1016/j.asr.2017.11.014
- The CryoSat interferometer: End-to-end calibration and achievable performance M. Scagliola et al. 10.1016/j.asr.2017.09.024
- Brief communication: Glacier run-off estimation using altimetry-derived basin volume change: case study at Humboldt Glacier, northwest Greenland L. Gray 10.5194/tc-15-1005-2021
- Roll Calibration for CryoSat-2: A Comprehensive Approach A. Garcia-Mondéjar et al. 10.3390/rs13020302
- Using Deep Learning to Model Elevation Differences between Radar and Laser Altimetry A. Horton et al. 10.3390/rs14246210
- Complex evolving patterns of mass loss from Antarctica’s largest glacier J. Bamber & G. Dawson 10.1038/s41561-019-0527-z
- Generation and Utility of a Digital Surface Model Based on Archived Aerial Photographs Taken by the Japanese Antarctic Research Expedition K. Moto et al. 10.4157/grj.94.1
- Systematic Errors Observed in CryoSat-2 Elevation Swaths on Mountain Glaciers and Their Implications J. Haacker et al. 10.1109/TGRS.2023.3277277
- Antarctic Grounding Line Mapping From CryoSat‐2 Radar Altimetry G. Dawson & J. Bamber 10.1002/2017GL075589
- CryoSat-2 interferometric mode calibration and validation: A case study from the Austfonna ice cap, Svalbard A. Morris et al. 10.1016/j.rse.2021.112805
- Validation of CryoSat-2 SARIn Data over Austfonna Ice Cap Using Airborne Laser Scanner Measurements L. Sandberg Sørensen et al. 10.3390/rs10091354
- CryoSat Ice Baseline-D validation and evolutions M. Meloni et al. 10.5194/tc-14-1889-2020
- Multisurface Retracker for Swath Processing of Interferometric Radar Altimetry A. Garcia-Mondejar et al. 10.1109/LGRS.2019.2913635
- Spread of Svalbard Glacier Mass Loss to Barents Sea Margins Revealed by CryoSat‐2 A. Morris et al. 10.1029/2019JF005357
Latest update: 08 Dec 2024
Short summary
We use surface height data from west Greenland and Devon Ice Cap to check the performance of the new interferometric mode of the ESA CryoSat radar altimeter. The detailed height comparison allows an improved system calibration and processing methodology and measurement of the height of supraglacial lakes which form each summer around the periphery of the Greenland Ice Cap. The advantages of the SARIn mode suggest that future satellite radar altimeters for glacial ice should use this technology.
We use surface height data from west Greenland and Devon Ice Cap to check the performance of the...