Bed topography of Princess Elizabeth Land in East Antarctica

We present a topographic digital elevation model (DEM) for PrincessElizabeth Land (PEL), East Antarctica. The DEM covers an area of∼900 000 km2 and was built from radio-echosounding data collected during four campaigns since 2015. Previously, togenerate the Bedmap2 topographic product, PEL's be...

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Bibliographic Details
Published in:Earth System Science Data
Main Authors: Cui, X, Jeofry, H, Greenbaum, JS, Guo, J, Li, L, Lindzey, LE, Habbal, FA, Wei, W, Young, DA, Ross, N, Morlighem, M, Jong, LM, Roberts, JL, Blankenship, DD, Bo, S, Siegert, MJ
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus GmbH 2020
Subjects:
Antarctic bedrock
Antarctic
East Antarctica
Princess Elizabeth Land
Antarc*
Antarctica
Ice Sheet
Online Access:https://eprints.utas.edu.au/42532/
https://eprints.utas.edu.au/42532/1/142752%20-%20Bed%20topography%20of%20Princess%20Elizabeth%20Land%20in%20East%20Antarctica.pdf
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Summary:We present a topographic digital elevation model (DEM) for PrincessElizabeth Land (PEL), East Antarctica. The DEM covers an area of∼900 000 km2 and was built from radio-echosounding data collected during four campaigns since 2015. Previously, togenerate the Bedmap2 topographic product, PEL's bed was characterized fromlow-resolution satellite gravity data across an otherwise large(>200 km wide) data-free zone. We use the mass conservation (MC)method to produce an ice thickness grid across faster flowing (>30 m yr−1) regions of the ice sheet and streamline diffusion in slower flowing areas. The resulting ice thickness model is integrated with an ice surface model to build the bed DEM. Together with BedMachineAntarctica and Bedmap2, this new bed DEM completes the first-ordermeasurement of subglacial continental Antarctica – an international mission that began around 70 years ago. The ice thickness data and bed DEMs of PEL (resolved horizontally at 500 m relative to ice surface elevations obtained from the Reference Elevation Model of Antarctica – REMA) are accessible from https://doi.org/10.5281/zenodo.4023343 (Cui et al., 2020a) and https://doi.org/10.5281/zenodo.4023393 (Cui et al., 2020b).

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