Articles | Volume 6, issue 2
https://doi.org/10.5194/tc-6-447-2012
© Author(s) 2012. 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-6-447-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Brief communication
| 
03 Apr 2012
Brief communication |
| 03 Apr 2012
Brief communication "Importance of slope-induced error correction in volume change estimates from radar altimetry"
R. T. W. L. Hurkmans
Bristol Glaciology Centre, School of Geographical Sciences, University of Bristol, Bristol, UK
J. L. Bamber
Bristol Glaciology Centre, School of Geographical Sciences, University of Bristol, Bristol, UK
J. A. Griggs
Bristol Glaciology Centre, School of Geographical Sciences, University of Bristol, Bristol, UK
Viewed
Total article views: 4,608 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 17 Jan 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,136 | 2,198 | 274 | 4,608 | 256 | 272 |
- HTML: 2,136
- PDF: 2,198
- XML: 274
- Total: 4,608
- BibTeX: 256
- EndNote: 272
Total article views: 3,806 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 03 Apr 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,822 | 1,735 | 249 | 3,806 | 235 | 265 |
- HTML: 1,822
- PDF: 1,735
- XML: 249
- Total: 3,806
- BibTeX: 235
- EndNote: 265
Total article views: 802 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 17 Jan 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 314 | 463 | 25 | 802 | 21 | 7 |
- HTML: 314
- PDF: 463
- XML: 25
- Total: 802
- BibTeX: 21
- EndNote: 7
Cited
26 citations as recorded by crossref.
- How Different Analysis and Interpolation Methods Affect the Accuracy of Ice Surface Elevation Changes Inferred from Satellite Altimetry U. Strößenreuther et al. https://doi.org/10.1007/s11004-019-09851-3
- 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
- Spread of Svalbard Glacier Mass Loss to Barents Sea Margins Revealed by CryoSat‐2 A. Morris et al. https://doi.org/10.1029/2019JF005357
- A revised calibration of the interferometric mode of the CryoSat-2 radar altimeter improves ice height and height change measurements in western Greenland L. Gray et al. https://doi.org/10.5194/tc-11-1041-2017
- CryoSat-2 interferometric mode calibration and validation: A case study from the Austfonna ice cap, Svalbard A. Morris et al. https://doi.org/10.1016/j.rse.2021.112805
- A range correction for ICESat and its potential impact on ice-sheet mass balance studies A. Borsa et al. https://doi.org/10.5194/tc-8-345-2014
- Ice sheet survey over Antarctica using satellite altimetry: ERS-2, Envisat, SARAL/AltiKa, the key importance of continuous observations along the same repeat orbit F. Rémy et al. https://doi.org/10.1080/01431161.2014.926419
- Elevation and elevation change of Greenland and Antarctica derived from CryoSat-2 V. Helm et al. https://doi.org/10.5194/tc-8-1539-2014
- Volume loss of the Greenland ice sheet revealed by SARAL/AltiKa repeat passes radar altimetry M. Suryawanshi et al. https://doi.org/10.1007/s12040-019-1209-3
- Characterizing slope correction methods applied to satellite radar altimetry data: A case study around Dome Argus in East Antarctica G. Hai et al. https://doi.org/10.1016/j.asr.2021.01.016
- Impact of Slopes on ICESat-2 Elevation Accuracy Along the CHINARE Route in East Antarctica T. Hao et al. https://doi.org/10.1109/JSTARS.2022.3189042
- Interferometric swath processing of Cryosat data for glacial ice topography L. Gray et al. https://doi.org/10.5194/tc-7-1857-2013
- Study of the Penetration Bias of ENVISAT Altimeter Observations over Antarctica in Comparison to ICESat Observations A. Michel et al. https://doi.org/10.3390/rs6109412
- 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
- Envisat-derived elevation changes of the Greenland ice sheet, and a comparison with ICESat results in the accumulation area L. Sørensen et al. https://doi.org/10.1016/j.rse.2014.12.022
- The Impact of DEM Resolution on Relocating Radar Altimetry Data Over Ice Sheets J. Levinsen et al. https://doi.org/10.1109/JSTARS.2016.2587684
- An Improved Method for Monitoring Subglacial Lake Activity in Antarctica From ICESat-2 J. Liu et al. https://doi.org/10.1109/TGRS.2025.3578437
- Implications of changing scattering properties on Greenland ice sheet volume change from Cryosat-2 altimetry S. Simonsen & L. Sørensen https://doi.org/10.1016/j.rse.2016.12.012
- Regional Assessments of Surface Ice Elevations from Swath-Processed CryoSat-2 SARIn Data N. Andersen et al. https://doi.org/10.3390/rs13112213
- Variability in the ice sheet elevations over Antarctica derived from repetitive SARAL/AltiKa radar altimeter data (2013–2016) M. Suryawanshi et al. https://doi.org/10.1007/s12040-019-1093-x
- Multipeak retracking of radar altimetry waveforms over ice sheets Q. Huang et al. https://doi.org/10.1016/j.rse.2024.114020
- Time-evolving mass loss of the Greenland Ice Sheet from satellite altimetry R. Hurkmans et al. https://doi.org/10.5194/tc-8-1725-2014
- ESA ice sheet CCI: derivation of the optimal method for surface elevation change detection of the Greenland ice sheet – round robin results J. Levinsen et al. https://doi.org/10.1080/01431161.2014.999385
- Experimental results of elevation change analysis in the Antarctic ice sheet using DEMs from ERS and ICESat data Z. Gu et al. https://doi.org/10.3189/2014AoG66A124
- Greenland Ice Sheet Mass Balance (1992–2020) From Calibrated Radar Altimetry S. Simonsen et al. https://doi.org/10.1029/2020GL091216
- PRODEM: an annual series of summer DEMs (2019 through 2022) of the marginal areas of the Greenland Ice Sheet M. Winstrup et al. https://doi.org/10.5194/essd-16-5405-2024
26 citations as recorded by crossref.
- How Different Analysis and Interpolation Methods Affect the Accuracy of Ice Surface Elevation Changes Inferred from Satellite Altimetry U. Strößenreuther et al. https://doi.org/10.1007/s11004-019-09851-3
- 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
- Spread of Svalbard Glacier Mass Loss to Barents Sea Margins Revealed by CryoSat‐2 A. Morris et al. https://doi.org/10.1029/2019JF005357
- A revised calibration of the interferometric mode of the CryoSat-2 radar altimeter improves ice height and height change measurements in western Greenland L. Gray et al. https://doi.org/10.5194/tc-11-1041-2017
- CryoSat-2 interferometric mode calibration and validation: A case study from the Austfonna ice cap, Svalbard A. Morris et al. https://doi.org/10.1016/j.rse.2021.112805
- A range correction for ICESat and its potential impact on ice-sheet mass balance studies A. Borsa et al. https://doi.org/10.5194/tc-8-345-2014
- Ice sheet survey over Antarctica using satellite altimetry: ERS-2, Envisat, SARAL/AltiKa, the key importance of continuous observations along the same repeat orbit F. Rémy et al. https://doi.org/10.1080/01431161.2014.926419
- Elevation and elevation change of Greenland and Antarctica derived from CryoSat-2 V. Helm et al. https://doi.org/10.5194/tc-8-1539-2014
- Volume loss of the Greenland ice sheet revealed by SARAL/AltiKa repeat passes radar altimetry M. Suryawanshi et al. https://doi.org/10.1007/s12040-019-1209-3
- Characterizing slope correction methods applied to satellite radar altimetry data: A case study around Dome Argus in East Antarctica G. Hai et al. https://doi.org/10.1016/j.asr.2021.01.016
- Impact of Slopes on ICESat-2 Elevation Accuracy Along the CHINARE Route in East Antarctica T. Hao et al. https://doi.org/10.1109/JSTARS.2022.3189042
- Interferometric swath processing of Cryosat data for glacial ice topography L. Gray et al. https://doi.org/10.5194/tc-7-1857-2013
- Study of the Penetration Bias of ENVISAT Altimeter Observations over Antarctica in Comparison to ICESat Observations A. Michel et al. https://doi.org/10.3390/rs6109412
- 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
- Envisat-derived elevation changes of the Greenland ice sheet, and a comparison with ICESat results in the accumulation area L. Sørensen et al. https://doi.org/10.1016/j.rse.2014.12.022
- The Impact of DEM Resolution on Relocating Radar Altimetry Data Over Ice Sheets J. Levinsen et al. https://doi.org/10.1109/JSTARS.2016.2587684
- An Improved Method for Monitoring Subglacial Lake Activity in Antarctica From ICESat-2 J. Liu et al. https://doi.org/10.1109/TGRS.2025.3578437
- Implications of changing scattering properties on Greenland ice sheet volume change from Cryosat-2 altimetry S. Simonsen & L. Sørensen https://doi.org/10.1016/j.rse.2016.12.012
- Regional Assessments of Surface Ice Elevations from Swath-Processed CryoSat-2 SARIn Data N. Andersen et al. https://doi.org/10.3390/rs13112213
- Variability in the ice sheet elevations over Antarctica derived from repetitive SARAL/AltiKa radar altimeter data (2013–2016) M. Suryawanshi et al. https://doi.org/10.1007/s12040-019-1093-x
- Multipeak retracking of radar altimetry waveforms over ice sheets Q. Huang et al. https://doi.org/10.1016/j.rse.2024.114020
- Time-evolving mass loss of the Greenland Ice Sheet from satellite altimetry R. Hurkmans et al. https://doi.org/10.5194/tc-8-1725-2014
- ESA ice sheet CCI: derivation of the optimal method for surface elevation change detection of the Greenland ice sheet – round robin results J. Levinsen et al. https://doi.org/10.1080/01431161.2014.999385
- Experimental results of elevation change analysis in the Antarctic ice sheet using DEMs from ERS and ICESat data Z. Gu et al. https://doi.org/10.3189/2014AoG66A124
- Greenland Ice Sheet Mass Balance (1992–2020) From Calibrated Radar Altimetry S. Simonsen et al. https://doi.org/10.1029/2020GL091216
- PRODEM: an annual series of summer DEMs (2019 through 2022) of the marginal areas of the Greenland Ice Sheet M. Winstrup et al. https://doi.org/10.5194/essd-16-5405-2024
Saved (final revised paper)
Latest update: 23 Aug 2026
