Accumulation rates from 38 ka and 160 ka radio-echo sounding horizons in East Antarctica

The internal layering architecture of ice sheets, as detected with radio-echo sounding (RES), contains clues to past ice-flow dynamics and mass balance and supplies flow models with starting and boundary conditions. In comparison to the Greenland Ice Sheet, the coverage of the East Antarctic Ice She...

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Main Authors: Winter, Anna, Steinhage, Daniel, Creyts, Timothy, Eisen, Olaf
Format: Conference Object
Language:unknown
Published: 2017
Subjects:
Online Access:https://epic.awi.de/id/eprint/49648/
https://epic.awi.de/id/eprint/49648/1/EGU2017-19200.pdf
https://hdl.handle.net/10013/epic.4447b75c-e6f2-4d6a-a8a5-2a164c4cf55c
id ftawi:oai:epic.awi.de:49648
record_format openpolar
spelling ftawi:oai:epic.awi.de:49648 2024-09-15T17:42:12+00:00 Accumulation rates from 38 ka and 160 ka radio-echo sounding horizons in East Antarctica Winter, Anna Steinhage, Daniel Creyts, Timothy Eisen, Olaf 2017-04-24 application/pdf https://epic.awi.de/id/eprint/49648/ https://epic.awi.de/id/eprint/49648/1/EGU2017-19200.pdf https://hdl.handle.net/10013/epic.4447b75c-e6f2-4d6a-a8a5-2a164c4cf55c unknown https://epic.awi.de/id/eprint/49648/1/EGU2017-19200.pdf Winter, A. , Steinhage, D. orcid:0000-0003-4737-9751 , Creyts, T. and Eisen, O. orcid:0000-0002-6380-962X (2017) Accumulation rates from 38 ka and 160 ka radio-echo sounding horizons in East Antarctica , EGU General Assembly, Vienna, 23 April 2017 - 28 April 2017 . hdl:10013/epic.4447b75c-e6f2-4d6a-a8a5-2a164c4cf55c EPIC3EGU General Assembly, Vienna, 2017-04-23-2017-04-28 Conference notRev 2017 ftawi 2024-06-24T04:22:11Z The internal layering architecture of ice sheets, as detected with radio-echo sounding (RES), contains clues to past ice-flow dynamics and mass balance and supplies flow models with starting and boundary conditions. In comparison to the Greenland Ice Sheet, the coverage of the East Antarctic Ice Sheet with information on internal ice structure is still sparse. This hampers the constraining or initialization of ice-flow models with geometry and surface mass balance data inadequate resolution.We traced two RES horizons, 38 ka and 160 ka, over great parts and in the most remote areas of the East Antarctic Ice Sheet.We dated the horizons at the EPICA Dome C Ice Core and followed them along RES lines of the Alfred Wegener Institute to Vostok and Dome A. There, they could be connected to the RES grid, covering the Gamburtsev mountains, that was collected as part ofthe AGAP (Antarctica’s Gamburtsev Province) project, and continued to South Pole. From this widespread age-depth distribution we reconstruct mean accumulation rates and analyze spatial variations in surface mass balance, as well as differences between the two time periods. Conference Object Antarc* Antarctic Antarctica East Antarctica EPICA Greenland ice core Ice Sheet South pole South pole Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description The internal layering architecture of ice sheets, as detected with radio-echo sounding (RES), contains clues to past ice-flow dynamics and mass balance and supplies flow models with starting and boundary conditions. In comparison to the Greenland Ice Sheet, the coverage of the East Antarctic Ice Sheet with information on internal ice structure is still sparse. This hampers the constraining or initialization of ice-flow models with geometry and surface mass balance data inadequate resolution.We traced two RES horizons, 38 ka and 160 ka, over great parts and in the most remote areas of the East Antarctic Ice Sheet.We dated the horizons at the EPICA Dome C Ice Core and followed them along RES lines of the Alfred Wegener Institute to Vostok and Dome A. There, they could be connected to the RES grid, covering the Gamburtsev mountains, that was collected as part ofthe AGAP (Antarctica’s Gamburtsev Province) project, and continued to South Pole. From this widespread age-depth distribution we reconstruct mean accumulation rates and analyze spatial variations in surface mass balance, as well as differences between the two time periods.
format Conference Object
author Winter, Anna
Steinhage, Daniel
Creyts, Timothy
Eisen, Olaf
spellingShingle Winter, Anna
Steinhage, Daniel
Creyts, Timothy
Eisen, Olaf
Accumulation rates from 38 ka and 160 ka radio-echo sounding horizons in East Antarctica
author_facet Winter, Anna
Steinhage, Daniel
Creyts, Timothy
Eisen, Olaf
author_sort Winter, Anna
title Accumulation rates from 38 ka and 160 ka radio-echo sounding horizons in East Antarctica
title_short Accumulation rates from 38 ka and 160 ka radio-echo sounding horizons in East Antarctica
title_full Accumulation rates from 38 ka and 160 ka radio-echo sounding horizons in East Antarctica
title_fullStr Accumulation rates from 38 ka and 160 ka radio-echo sounding horizons in East Antarctica
title_full_unstemmed Accumulation rates from 38 ka and 160 ka radio-echo sounding horizons in East Antarctica
title_sort accumulation rates from 38 ka and 160 ka radio-echo sounding horizons in east antarctica
publishDate 2017
url https://epic.awi.de/id/eprint/49648/
https://epic.awi.de/id/eprint/49648/1/EGU2017-19200.pdf
https://hdl.handle.net/10013/epic.4447b75c-e6f2-4d6a-a8a5-2a164c4cf55c
genre Antarc*
Antarctic
Antarctica
East Antarctica
EPICA
Greenland
ice core
Ice Sheet
South pole
South pole
genre_facet Antarc*
Antarctic
Antarctica
East Antarctica
EPICA
Greenland
ice core
Ice Sheet
South pole
South pole
op_source EPIC3EGU General Assembly, Vienna, 2017-04-23-2017-04-28
op_relation https://epic.awi.de/id/eprint/49648/1/EGU2017-19200.pdf
Winter, A. , Steinhage, D. orcid:0000-0003-4737-9751 , Creyts, T. and Eisen, O. orcid:0000-0002-6380-962X (2017) Accumulation rates from 38 ka and 160 ka radio-echo sounding horizons in East Antarctica , EGU General Assembly, Vienna, 23 April 2017 - 28 April 2017 . hdl:10013/epic.4447b75c-e6f2-4d6a-a8a5-2a164c4cf55c
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