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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Cited
63 citations as recorded by crossref.
- Range and Wave Height Corrections to Account for Ocean Wave Effects in SAR Altimeter Measurements Using Neural Network J. Wang et al. https://doi.org/10.3390/rs17061031
- Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges S. Husman et al. https://doi.org/10.1109/JSTARS.2022.3216953
- Long‐Term Increase in Antarctic Ice Sheet Vulnerability Driven by Bed Topography Evolution G. Paxman et al. https://doi.org/10.1029/2020GL090003
- Temporal Variations in Ice Thickness of the Shirase Glacier Derived from Cryosat-2/SIRAL Data Y. Satake & K. Nakamura https://doi.org/10.3390/rs15051205
- Geomorphometry and terrain analysis: data, methods, platforms and applications L. Xiong et al. https://doi.org/10.1016/j.earscirev.2022.104191
- Extreme events of snow grain size increase in East Antarctica and their relationship with meteorological conditions C. Stefanini et al. https://doi.org/10.5194/tc-18-593-2024
- A 30-year monthly 5 km gridded surface elevation time series for the Greenland Ice Sheet from multiple satellite radar altimeters B. Zhang et al. https://doi.org/10.5194/essd-14-973-2022
- Exploring the link between microseism and sea ice in Antarctica by using machine learning A. Cannata et al. https://doi.org/10.1038/s41598-019-49586-z
- ICESat-2 Reveals Accelerated Global Glacier Mass Loss Except Alaska From 2019 to 2023 Y. Fan et al. https://doi.org/10.1109/JSTARS.2024.3518480
- Ice sheet height retrievals from Spire grazing angle GNSS-R R. Buendía et al. https://doi.org/10.1016/j.rse.2023.113757
- Gapless-REMA100: A gapless 100-m reference elevation model of Antarctica with voids filled by multi-source DEMs Y. Dong et al. https://doi.org/10.1016/j.isprsjprs.2022.01.024
- Deep learning for quality control of surface physiographic fields using satellite Earth observations T. Kimpson et al. https://doi.org/10.5194/hess-27-4661-2023
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- Radar Glacier Facies Variation in the Northern Antarctic Peninsula Using Sentinel-1 Multitemporal Imagery F. Idalino et al. https://doi.org/10.1007/s12524-025-02383-w
- Topographical analysis of a candidate subglacial water region in Ultimi Scopuli, Mars D. Sulcanese et al. https://doi.org/10.1016/j.icarus.2022.115394
- Subglacial Geology and Geomorphology of the Pensacola‐Pole Basin, East Antarctica G. Paxman et al. https://doi.org/10.1029/2018GC008126
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- A new Greenland digital elevation model derived from ICESat-2 during 2018–2019 Y. Fan et al. https://doi.org/10.5194/essd-14-781-2022
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- Ice Shelf Basal Melt and Influence on Dense Water Outflow in the Southern Weddell Sea C. Akhoudas et al. https://doi.org/10.1029/2019JC015710
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- Improved GNSS-R bi-static altimetry and independent digital elevation models of Greenland and Antarctica from TechDemoSat-1 J. Cartwright et al. https://doi.org/10.5194/tc-14-1909-2020
- Elevation Changes of the Antarctic Ice Sheet from Joint Envisat and CryoSat-2 Radar Altimetry B. Zhang et al. https://doi.org/10.3390/rs12223746
- The Scientific Legacy of NASA’s Operation IceBridge J. MacGregor et al. https://doi.org/10.1029/2020RG000712
- Building multi-satellite DEM time series for insight into mélange inside large rifts in Antarctica M. Xia et al. https://doi.org/10.5194/tc-19-6749-2025
- Feature-Enhanced Deep Learning Network for Digital Elevation Model Super-Resolution X. Ma et al. https://doi.org/10.1109/JSTARS.2023.3288296
- New Catalog of Thwaites Glacier Subglacial Lakes and Their Activity Revealed by CryoSat‐2 Altimetry B. Kim et al. https://doi.org/10.1029/2023JF007602
- Predicting Antarctic Net Snow Accumulation at the Kilometer Scale and Its Impact on Observed Height Changes B. Medley et al. https://doi.org/10.1029/2022GL099330
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- A Spatiotemporal Subgrid Least Squares Approach to DEM Generation of the Greenland Ice Sheet from ICESat-2 Laser Altimetry Q. Wang et al. https://doi.org/10.3390/rs17244027
- Temporal and spatial variability in surface roughness and accumulation rate around 88° S from repeat airborne geophysical surveys M. Studinger et al. https://doi.org/10.5194/tc-14-3287-2020
- Brief communication: Ice sheet elevation measurements from the Sentinel-3A and Sentinel-3B tandem phase M. McMillan et al. https://doi.org/10.5194/tc-15-3129-2021
- Assessing spatiotemporal variability in melt–refreeze patterns in firn over Greenland with CryoSat-2 W. Li et al. https://doi.org/10.5194/tc-19-3419-2025
- Comparisons of Satellite and Airborne Altimetry With Ground‐Based Data From the Interior of the Antarctic Ice Sheet K. Brunt et al. https://doi.org/10.1029/2020GL090572
- Independent DEM of Antarctica Using GNSS‐R Data From TechDemoSat‐1 J. Cartwright et al. https://doi.org/10.1029/2018GL077429
- Variability in wet and dry snow radar zones in the North of the Antarctic Peninsula using a cloud computing environment F. IDALINO et al. https://doi.org/10.1590/0001-3765202420230704
- TanDEM-X PolarDEM 90 m of Antarctica: generation and error characterization B. Wessel et al. https://doi.org/10.5194/tc-15-5241-2021
- The great calving in 2017 did not have a significant impact on the Larsen C Ice Shelf in the short term M. Liu et al. https://doi.org/10.1080/10095020.2023.2274136
- Mapping Basal Melt Under the Shackleton Ice Shelf, East Antarctica, From CryoSat-2 Radar Altimetry Q. Liang et al. https://doi.org/10.1109/JSTARS.2021.3077359
- Sensitivity of glacier elevation analysis and numerical modeling to CryoSat-2 SIRAL retracking techniques T. Trantow et al. https://doi.org/10.1016/j.cageo.2020.104610
- The Reference Elevation Model of Antarctica I. Howat et al. https://doi.org/10.5194/tc-13-665-2019
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- Reconstructions of Antarctic topography since the Eocene–Oligocene boundary G. Paxman et al. https://doi.org/10.1016/j.palaeo.2019.109346
- Greenland Ice Sheet Runoff Observed by Multiple Satellite Radar Altimeters From 1992 to 2023 J. Shen et al. https://doi.org/10.1109/JSTARS.2025.3584511
- Assessment of CryoSat-2 Baseline-D Height Product by GNSS and ICESat-2 in Lambert-Amery System, East Antarctica G. Hai et al. https://doi.org/10.1109/JSTARS.2022.3156929
- The Antarctic Crust and Upper Mantle: A Flexible 3D Model and Software Framework for Interdisciplinary Research T. Stål et al. https://doi.org/10.3389/feart.2020.577502
- Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes C. Agosta et al. https://doi.org/10.5194/tc-13-281-2019
- Time-series snowmelt detection over the Antarctic using Sentinel-1 SAR images on Google Earth Engine D. Liang et al. https://doi.org/10.1016/j.rse.2021.112318
- Automatic calving front extraction from digital elevation model-derived data Y. Dong et al. https://doi.org/10.1016/j.rse.2021.112854
- Post Mid‐Cretaceous Tectonic and Topographic Evolution of Western Marie Byrd Land, WestAntarctica: Insights from Apatite FissionTrack and (U‐Th‐Sm)/He Data M. Zundel et al. https://doi.org/10.1029/2019GC008667
- Remote sensing of glacier and ice sheet grounding lines: A review P. Friedl et al. https://doi.org/10.1016/j.earscirev.2019.102948
- Subglacial lakes and hydrology across the Ellsworth Subglacial Highlands, West Antarctica F. Napoleoni et al. https://doi.org/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. https://doi.org/10.3390/rs13245137
- A new digital elevation model (DEM) dataset of the entire Antarctic continent derived from ICESat-2 X. Shen et al. https://doi.org/10.5194/essd-14-3075-2022
- Advance in Ocean Satellite Radar Altimetry Technology K. XU & M. JIANG https://doi.org/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. https://doi.org/10.1109/JSTARS.2024.3451525
- Stereo 3D reconstruction for snow compaction and flatness monitoring in Antarctica G. Han et al. https://doi.org/10.1016/j.measurement.2025.118618
- Relating GNSS Reflected Signal Coherence to Ice Shelf Surface Deformation and Roughness S. Anderson et al. https://doi.org/10.1109/TGRS.2025.3538558
- A leading-edge-based method for correction of slope-induced errors in ice-sheet heights derived from radar altimetry W. Li et al. https://doi.org/10.5194/tc-16-2225-2022
- Photon-Counting Lidar Remote Sensing: Current progress and future trends L. Wu et al. https://doi.org/10.1109/MGRS.2026.3660928
63 citations as recorded by crossref.
- Range and Wave Height Corrections to Account for Ocean Wave Effects in SAR Altimeter Measurements Using Neural Network J. Wang et al. https://doi.org/10.3390/rs17061031
- Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges S. Husman et al. https://doi.org/10.1109/JSTARS.2022.3216953
- Long‐Term Increase in Antarctic Ice Sheet Vulnerability Driven by Bed Topography Evolution G. Paxman et al. https://doi.org/10.1029/2020GL090003
- Temporal Variations in Ice Thickness of the Shirase Glacier Derived from Cryosat-2/SIRAL Data Y. Satake & K. Nakamura https://doi.org/10.3390/rs15051205
- Geomorphometry and terrain analysis: data, methods, platforms and applications L. Xiong et al. https://doi.org/10.1016/j.earscirev.2022.104191
- Extreme events of snow grain size increase in East Antarctica and their relationship with meteorological conditions C. Stefanini et al. https://doi.org/10.5194/tc-18-593-2024
- A 30-year monthly 5 km gridded surface elevation time series for the Greenland Ice Sheet from multiple satellite radar altimeters B. Zhang et al. https://doi.org/10.5194/essd-14-973-2022
- Exploring the link between microseism and sea ice in Antarctica by using machine learning A. Cannata et al. https://doi.org/10.1038/s41598-019-49586-z
- ICESat-2 Reveals Accelerated Global Glacier Mass Loss Except Alaska From 2019 to 2023 Y. Fan et al. https://doi.org/10.1109/JSTARS.2024.3518480
- Ice sheet height retrievals from Spire grazing angle GNSS-R R. Buendía et al. https://doi.org/10.1016/j.rse.2023.113757
- Gapless-REMA100: A gapless 100-m reference elevation model of Antarctica with voids filled by multi-source DEMs Y. Dong et al. https://doi.org/10.1016/j.isprsjprs.2022.01.024
- Deep learning for quality control of surface physiographic fields using satellite Earth observations T. Kimpson et al. https://doi.org/10.5194/hess-27-4661-2023
- Multipeak retracking of radar altimetry waveforms over ice sheets Q. Huang et al. https://doi.org/10.1016/j.rse.2024.114020
- Radar Glacier Facies Variation in the Northern Antarctic Peninsula Using Sentinel-1 Multitemporal Imagery F. Idalino et al. https://doi.org/10.1007/s12524-025-02383-w
- Topographical analysis of a candidate subglacial water region in Ultimi Scopuli, Mars D. Sulcanese et al. https://doi.org/10.1016/j.icarus.2022.115394
- Subglacial Geology and Geomorphology of the Pensacola‐Pole Basin, East Antarctica G. Paxman et al. https://doi.org/10.1029/2018GC008126
- The tipping points and early warning indicators for Pine Island Glacier, West Antarctica S. Rosier et al. https://doi.org/10.5194/tc-15-1501-2021
- A new Greenland digital elevation model derived from ICESat-2 during 2018–2019 Y. Fan et al. https://doi.org/10.5194/essd-14-781-2022
- Sentinel-3 Delay-Doppler altimetry over Antarctica M. McMillan et al. https://doi.org/10.5194/tc-13-709-2019
- Ice Shelf Basal Melt and Influence on Dense Water Outflow in the Southern Weddell Sea C. Akhoudas et al. https://doi.org/10.1029/2019JC015710
- High-resolution topography of the Antarctic Peninsula combining the TanDEM-X DEM and Reference Elevation Model of Antarctica (REMA) mosaic Y. Dong et al. https://doi.org/10.5194/tc-15-4421-2021
- Improved GNSS-R bi-static altimetry and independent digital elevation models of Greenland and Antarctica from TechDemoSat-1 J. Cartwright et al. https://doi.org/10.5194/tc-14-1909-2020
- Elevation Changes of the Antarctic Ice Sheet from Joint Envisat and CryoSat-2 Radar Altimetry B. Zhang et al. https://doi.org/10.3390/rs12223746
- The Scientific Legacy of NASA’s Operation IceBridge J. MacGregor et al. https://doi.org/10.1029/2020RG000712
- Building multi-satellite DEM time series for insight into mélange inside large rifts in Antarctica M. Xia et al. https://doi.org/10.5194/tc-19-6749-2025
- Feature-Enhanced Deep Learning Network for Digital Elevation Model Super-Resolution X. Ma et al. https://doi.org/10.1109/JSTARS.2023.3288296
- New Catalog of Thwaites Glacier Subglacial Lakes and Their Activity Revealed by CryoSat‐2 Altimetry B. Kim et al. https://doi.org/10.1029/2023JF007602
- Predicting Antarctic Net Snow Accumulation at the Kilometer Scale and Its Impact on Observed Height Changes B. Medley et al. https://doi.org/10.1029/2022GL099330
- How well can satellite altimetry and firn models resolve Antarctic firn thickness variations? M. Kappelsberger et al. https://doi.org/10.5194/tc-18-4355-2024
- A Spatiotemporal Subgrid Least Squares Approach to DEM Generation of the Greenland Ice Sheet from ICESat-2 Laser Altimetry Q. Wang et al. https://doi.org/10.3390/rs17244027
- Temporal and spatial variability in surface roughness and accumulation rate around 88° S from repeat airborne geophysical surveys M. Studinger et al. https://doi.org/10.5194/tc-14-3287-2020
- Brief communication: Ice sheet elevation measurements from the Sentinel-3A and Sentinel-3B tandem phase M. McMillan et al. https://doi.org/10.5194/tc-15-3129-2021
- Assessing spatiotemporal variability in melt–refreeze patterns in firn over Greenland with CryoSat-2 W. Li et al. https://doi.org/10.5194/tc-19-3419-2025
- Comparisons of Satellite and Airborne Altimetry With Ground‐Based Data From the Interior of the Antarctic Ice Sheet K. Brunt et al. https://doi.org/10.1029/2020GL090572
- Independent DEM of Antarctica Using GNSS‐R Data From TechDemoSat‐1 J. Cartwright et al. https://doi.org/10.1029/2018GL077429
- Variability in wet and dry snow radar zones in the North of the Antarctic Peninsula using a cloud computing environment F. IDALINO et al. https://doi.org/10.1590/0001-3765202420230704
- TanDEM-X PolarDEM 90 m of Antarctica: generation and error characterization B. Wessel et al. https://doi.org/10.5194/tc-15-5241-2021
- The great calving in 2017 did not have a significant impact on the Larsen C Ice Shelf in the short term M. Liu et al. https://doi.org/10.1080/10095020.2023.2274136
- Mapping Basal Melt Under the Shackleton Ice Shelf, East Antarctica, From CryoSat-2 Radar Altimetry Q. Liang et al. https://doi.org/10.1109/JSTARS.2021.3077359
- Sensitivity of glacier elevation analysis and numerical modeling to CryoSat-2 SIRAL retracking techniques T. Trantow et al. https://doi.org/10.1016/j.cageo.2020.104610
- The Reference Elevation Model of Antarctica I. Howat et al. https://doi.org/10.5194/tc-13-665-2019
- Calving cycle of the Brunt Ice Shelf, Antarctica, driven by changes in ice shelf geometry J. De Rydt et al. https://doi.org/10.5194/tc-13-2771-2019
- Firn air content changes on Antarctic ice shelves under three future warming scenarios S. Veldhuijsen et al. https://doi.org/10.5194/tc-18-1983-2024
- New radar altimetry datasets of Greenland and Antarctic surface elevation, 1991–2012 M. Suryawanshi et al. https://doi.org/10.5194/tc-19-2855-2025
- An elevation change dataset in Greenland ice sheet from 2003 to 2020 using satellite altimetry data B. Yang et al. https://doi.org/10.1080/20964471.2022.2116796
- Reconstructions of Antarctic topography since the Eocene–Oligocene boundary G. Paxman et al. https://doi.org/10.1016/j.palaeo.2019.109346
- Greenland Ice Sheet Runoff Observed by Multiple Satellite Radar Altimeters From 1992 to 2023 J. Shen et al. https://doi.org/10.1109/JSTARS.2025.3584511
- Assessment of CryoSat-2 Baseline-D Height Product by GNSS and ICESat-2 in Lambert-Amery System, East Antarctica G. Hai et al. https://doi.org/10.1109/JSTARS.2022.3156929
- The Antarctic Crust and Upper Mantle: A Flexible 3D Model and Software Framework for Interdisciplinary Research T. Stål et al. https://doi.org/10.3389/feart.2020.577502
- Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes C. Agosta et al. https://doi.org/10.5194/tc-13-281-2019
- Time-series snowmelt detection over the Antarctic using Sentinel-1 SAR images on Google Earth Engine D. Liang et al. https://doi.org/10.1016/j.rse.2021.112318
- Automatic calving front extraction from digital elevation model-derived data Y. Dong et al. https://doi.org/10.1016/j.rse.2021.112854
- Post Mid‐Cretaceous Tectonic and Topographic Evolution of Western Marie Byrd Land, WestAntarctica: Insights from Apatite FissionTrack and (U‐Th‐Sm)/He Data M. Zundel et al. https://doi.org/10.1029/2019GC008667
- Remote sensing of glacier and ice sheet grounding lines: A review P. Friedl et al. https://doi.org/10.1016/j.earscirev.2019.102948
- Subglacial lakes and hydrology across the Ellsworth Subglacial Highlands, West Antarctica F. Napoleoni et al. https://doi.org/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. https://doi.org/10.3390/rs13245137
- A new digital elevation model (DEM) dataset of the entire Antarctic continent derived from ICESat-2 X. Shen et al. https://doi.org/10.5194/essd-14-3075-2022
- Advance in Ocean Satellite Radar Altimetry Technology K. XU & M. JIANG https://doi.org/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. https://doi.org/10.1109/JSTARS.2024.3451525
- Stereo 3D reconstruction for snow compaction and flatness monitoring in Antarctica G. Han et al. https://doi.org/10.1016/j.measurement.2025.118618
- Relating GNSS Reflected Signal Coherence to Ice Shelf Surface Deformation and Roughness S. Anderson et al. https://doi.org/10.1109/TGRS.2025.3538558
- A leading-edge-based method for correction of slope-induced errors in ice-sheet heights derived from radar altimetry W. Li et al. https://doi.org/10.5194/tc-16-2225-2022
- Photon-Counting Lidar Remote Sensing: Current progress and future trends L. Wu et al. https://doi.org/10.1109/MGRS.2026.3660928
Saved (final revised paper)
Latest update: 23 Jun 2026
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...
