Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-973-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-14-973-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
02 Mar 2022
Data description paper |
| 02 Mar 2022
| 02 Mar 2022
A 30-year monthly 5 km gridded surface elevation time series for the Greenland Ice Sheet from multiple satellite radar altimeters
Baojun Zhang
Chinese Antarctic Center of Surveying and Mapping, Wuhan University,
Wuhan, 430079, China
Zemin Wang
CORRESPONDING AUTHOR
Chinese Antarctic Center of Surveying and Mapping, Wuhan University,
Wuhan, 430079, China
Jiachun An
Chinese Antarctic Center of Surveying and Mapping, Wuhan University,
Wuhan, 430079, China
Tingting Liu
CORRESPONDING AUTHOR
Chinese Antarctic Center of Surveying and Mapping, Wuhan University,
Wuhan, 430079, China
Hong Geng
School of Resource and Environment Sciences, Wuhan University, Wuhan,
430079, China
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Obtaining the detailed surface topography in Antarctica is essential for fieldwork planning, surface height change and mass balance estimations. A new and reliable DEM for Antarctica with a modal resolution of 500 m is presented based on the surface height measurements from ICESat-2 by using a model fitting method. The high accuracy of elevations and the possibility for annual updates make the ICESat-2 DEM an addition to the existing Antarctic DEM groups.
Steven Franke, Daniela Jansen, Tobias Binder, John D. Paden, Nils Dörr, Tamara A. Gerber, Heinrich Miller, Dorthe Dahl-Jensen, Veit Helm, Daniel Steinhage, Ilka Weikusat, Frank Wilhelms, and Olaf Eisen
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Marie G. P. Cavitte, Duncan A. Young, Robert Mulvaney, Catherine Ritz, Jamin S. Greenbaum, Gregory Ng, Scott D. Kempf, Enrica Quartini, Gail R. Muldoon, John Paden, Massimo Frezzotti, Jason L. Roberts, Carly R. Tozer, Dustin M. Schroeder, and Donald D. Blankenship
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Yi-Ran Wang and Xiao-Ming Li
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Sea ice cover is the most fundamental factor that indicates the underlying great changes in the Arctic. We propose novel sea ice cover data in high resolution of a few hundred meters by spaceborne synthetic aperture radar, which is more than 10 times that of the operational sea ice cover and concentration data. The method is based on a deep learning architecture of U-Net. We have been processing data acquired by Sentinel-1 since 2014 to obtain high-quality sea ice cover data in the Arctic.
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Satellite measurements of the English Coast in the Antarctic Peninsula reveal that glaciers are thinning and losing mass, but ice thickness data are required to assess these changes, in terms of ice flux and sea level contribution. Our ice-penetrating radar measurements reveal that low-elevation subglacial channels control fast-flowing ice streams, which release over 39 Gt of ice per year to floating ice shelves. This topography could make ice flows susceptible to future instability.
Xiangbin Cui, Hafeez Jeofry, Jamin S. Greenbaum, Jingxue Guo, Lin Li, Laura E. Lindzey, Feras A. Habbal, Wei Wei, Duncan A. Young, Neil Ross, Mathieu Morlighem, Lenneke M. Jong, Jason L. Roberts, Donald D. Blankenship, Sun Bo, and Martin J. Siegert
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We present a topographic digital elevation model (DEM) for Princess Elizabeth Land (PEL), East Antarctica. The DEM covers an area of approximately 900 000 km2 and was built from radio-echo sounding data collected in four campaigns since 2015. Previously, to generate the Bedmap2 topographic product, PEL’s bed was characterised from low-resolution satellite gravity data across an otherwise large (>200 km wide) data-free zone.
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Short summary
A long-term time series of ice sheet surface elevation change essential for assessing climate change. This study presents a 30-year monthly 5 km gridded surface elevation time series for the Greenland Ice Sheet from multiple satellite radar altimeters. The dataset can provide detailed insight into Greenland Ice Sheet surface elevation change on multiple temporal and spatial scales, thereby providing an opportunity to explore potential associations between ice sheet change and climatic forcing.
A long-term time series of ice sheet surface elevation change essential for assessing climate...
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