Articles | Volume 12, issue 4
https://doi.org/10.5194/tc-12-1551-2018
© Author(s) 2018. 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-12-1551-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 May 2018
Research article |
| 02 May 2018
| 02 May 2018
A new digital elevation model of Antarctica derived from CryoSat-2 altimetry
Thomas Slater
CORRESPONDING AUTHOR
Centre for Polar Observation and Modelling, School of Earth
and Environment, University of Leeds, Leeds, LS2 9JT, UK
Andrew Shepherd
Centre for Polar Observation and Modelling, School of Earth
and Environment, University of Leeds, Leeds, LS2 9JT, UK
Malcolm McMillan
Centre for Polar Observation and Modelling, School of Earth
and Environment, University of Leeds, Leeds, LS2 9JT, UK
Alan Muir
Centre for Polar Observation and Modelling, University
College London, London, WC1E 6BT, UK
Lin Gilbert
Centre for Polar Observation and Modelling, University
College London, London, WC1E 6BT, UK
Anna E. Hogg
Centre for Polar Observation and Modelling, School of Earth
and Environment, University of Leeds, Leeds, LS2 9JT, UK
Hannes Konrad
Centre for Polar Observation and Modelling, School of Earth
and Environment, University of Leeds, Leeds, LS2 9JT, UK
Tommaso Parrinello
ESA ESRIN, Via Galileo Galilei, 00044 Frascati RM, Italy
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58 citations as recorded by crossref.
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- Long‐Term Increase in Antarctic Ice Sheet Vulnerability Driven by Bed Topography Evolution G. Paxman et al. 10.1029/2020GL090003
- Temporal Variations in Ice Thickness of the Shirase Glacier Derived from Cryosat-2/SIRAL Data Y. Satake & K. Nakamura 10.3390/rs15051205
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- Exploring the link between microseism and sea ice in Antarctica by using machine learning A. Cannata et al. 10.1038/s41598-019-49586-z
- ICESat-2 Reveals Accelerated Global Glacier Mass Loss Except Alaska From 2019 to 2023 Y. Fan et al. 10.1109/JSTARS.2024.3518480
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- Gapless-REMA100: A gapless 100-m reference elevation model of Antarctica with voids filled by multi-source DEMs Y. Dong et al. 10.1016/j.isprsjprs.2022.01.024
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- Topographical analysis of a candidate subglacial water region in Ultimi Scopuli, Mars D. Sulcanese et al. 10.1016/j.icarus.2022.115394
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- Sentinel-3 Delay-Doppler altimetry over Antarctica M. McMillan et al. 10.5194/tc-13-709-2019
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- High-resolution topography of the Antarctic Peninsula combining the TanDEM-X DEM and Reference Elevation Model of Antarctica (REMA) mosaic Y. Dong et al. 10.5194/tc-15-4421-2021
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- Sensitivity of glacier elevation analysis and numerical modeling to CryoSat-2 SIRAL retracking techniques T. Trantow et al. 10.1016/j.cageo.2020.104610
- The Reference Elevation Model of Antarctica I. Howat et al. 10.5194/tc-13-665-2019
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- Firn air content changes on Antarctic ice shelves under three future warming scenarios S. Veldhuijsen et al. 10.5194/tc-18-1983-2024
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- Subglacial lakes and hydrology across the Ellsworth Subglacial Highlands, West Antarctica F. Napoleoni et al. 10.5194/tc-14-4507-2020
- DEM Generation with ICESat-2 Altimetry Data for the Three Antarctic Ice Shelves: Ross, Filchner–Ronne and Amery T. Geng et al. 10.3390/rs13245137
- A new digital elevation model (DEM) dataset of the entire Antarctic continent derived from ICESat-2 X. Shen et al. 10.5194/essd-14-3075-2022
- Advance in Ocean Satellite Radar Altimetry Technology K. XU & M. JIANG 10.11728/cjss2023.06.2023-06-yg14
- Using Multimission Satellite Altimetry to Monitor Subglacial Hydrological Activities in the Totten Basin, East Antarctica J. Liu et al. 10.1109/JSTARS.2024.3451525
- Stereo 3D reconstruction for snow compaction and flatness monitoring in Antarctica G. Han et al. 10.1016/j.measurement.2025.118618
- Relating GNSS Reflected Signal Coherence to Ice Shelf Surface Deformation and Roughness S. Anderson et al. 10.1109/TGRS.2025.3538558
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1 citations as recorded by crossref.
Discussed (final revised paper)
Latest update: 28 Aug 2025
Short summary
We present a new digital elevation model of Antarctica derived from 6 years of elevation measurements acquired by ESA's CryoSat-2 satellite radar altimeter. We compare our elevation model to an independent set of NASA IceBridge airborne laser altimeter measurements and find the overall accuracy to be 9.5 m – a value comparable to or better than that of other models derived from satellite altimetry. The new CryoSat-2 digital elevation model of Antarctica will be made freely available.
We present a new digital elevation model of Antarctica derived from 6 years of elevation...
