Time-dependence of the spatial pattern of accumulation rate in East Antarctica deduced from isochronic radar layers using a 3D numerical ice-flow model

In East Antarctica surface mass balance data can only be obtained from the sparsely distributed ice cores when considering time periods greater than a few decades. Observations of internal layers measured by airborne ice penetrating radar, in principle, permit extrapolation of mass balance informati...

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Published in:Journal of Geophysical Research: Earth Surface
Main Authors: Leysinger Vieli, Gwendolyn J.-M.C., Hindmarsh, Richard C.A., Siegert, Martin G., Bo, Sun
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union 2011
Subjects:
Online Access:http://nora.nerc.ac.uk/id/eprint/14642/
https://nora.nerc.ac.uk/id/eprint/14642/1/jgrf781.pdf
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2010JF001785
id ftnerc:oai:nora.nerc.ac.uk:14642
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spelling ftnerc:oai:nora.nerc.ac.uk:14642 2023-05-15T13:45:11+02:00 Time-dependence of the spatial pattern of accumulation rate in East Antarctica deduced from isochronic radar layers using a 3D numerical ice-flow model Leysinger Vieli, Gwendolyn J.-M.C. Hindmarsh, Richard C.A. Siegert, Martin G. Bo, Sun 2011-06 text http://nora.nerc.ac.uk/id/eprint/14642/ https://nora.nerc.ac.uk/id/eprint/14642/1/jgrf781.pdf https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2010JF001785 en eng American Geophysical Union https://nora.nerc.ac.uk/id/eprint/14642/1/jgrf781.pdf Leysinger Vieli, Gwendolyn J.-M.C.; Hindmarsh, Richard C.A. orcid:0000-0003-1633-2416 Siegert, Martin G.; Bo, Sun. 2011 Time-dependence of the spatial pattern of accumulation rate in East Antarctica deduced from isochronic radar layers using a 3D numerical ice-flow model. Journal of Geophysical Research, 116 (F2), F02018. 17, pp. https://doi.org/10.1029/2010JF001785 <https://doi.org/10.1029/2010JF001785> Glaciology Publication - Article PeerReviewed 2011 ftnerc https://doi.org/10.1029/2010JF001785 2023-02-04T19:29:23Z In East Antarctica surface mass balance data can only be obtained from the sparsely distributed ice cores when considering time periods greater than a few decades. Observations of internal layers measured by airborne ice penetrating radar, in principle, permit extrapolation of mass balance information from these ice cores. We use radar survey lines gathered in the 1970s, and a three‐dimensional numerical model, to investigate the feasibility of such extrapolation, seeking to match the calculations of englacial layer geometry with observations. First, we justify the use of a three‐dimensional model by showing that simple vertical flow models cannot explain all the observations and that horizontal advection is a significant glacial process. Then we examine processes that affect calculations of layer geometry, finding that spatial accumulation‐rate patterns are extremely important while geothermal heat flux and flow mode (sliding or internal deformation) are of substantially less importance. Where the layer is from the Last Glacial Maximum (17.5 ka), we find a very good match between the spatial pattern of accumulation rates inferred from this layer and the modern spatial pattern of accumulation rates. When considering deeper layers from beyond the current interglacial, we find that a different spatial accumulation‐rate pattern must have existed, in addition to the known change in accumulation rate from ice cores. The glacial spatial accumulation‐rate pattern would have had proportionally greater accumulation at the South Pole than now, compared with the Vostok and Dome C ice cores. Article in Journal/Newspaper Antarc* Antarctica East Antarctica South pole South pole Natural Environment Research Council: NERC Open Research Archive East Antarctica South Pole Journal of Geophysical Research: Earth Surface 116 F2
institution Open Polar
collection Natural Environment Research Council: NERC Open Research Archive
op_collection_id ftnerc
language English
topic Glaciology
spellingShingle Glaciology
Leysinger Vieli, Gwendolyn J.-M.C.
Hindmarsh, Richard C.A.
Siegert, Martin G.
Bo, Sun
Time-dependence of the spatial pattern of accumulation rate in East Antarctica deduced from isochronic radar layers using a 3D numerical ice-flow model
topic_facet Glaciology
description In East Antarctica surface mass balance data can only be obtained from the sparsely distributed ice cores when considering time periods greater than a few decades. Observations of internal layers measured by airborne ice penetrating radar, in principle, permit extrapolation of mass balance information from these ice cores. We use radar survey lines gathered in the 1970s, and a three‐dimensional numerical model, to investigate the feasibility of such extrapolation, seeking to match the calculations of englacial layer geometry with observations. First, we justify the use of a three‐dimensional model by showing that simple vertical flow models cannot explain all the observations and that horizontal advection is a significant glacial process. Then we examine processes that affect calculations of layer geometry, finding that spatial accumulation‐rate patterns are extremely important while geothermal heat flux and flow mode (sliding or internal deformation) are of substantially less importance. Where the layer is from the Last Glacial Maximum (17.5 ka), we find a very good match between the spatial pattern of accumulation rates inferred from this layer and the modern spatial pattern of accumulation rates. When considering deeper layers from beyond the current interglacial, we find that a different spatial accumulation‐rate pattern must have existed, in addition to the known change in accumulation rate from ice cores. The glacial spatial accumulation‐rate pattern would have had proportionally greater accumulation at the South Pole than now, compared with the Vostok and Dome C ice cores.
format Article in Journal/Newspaper
author Leysinger Vieli, Gwendolyn J.-M.C.
Hindmarsh, Richard C.A.
Siegert, Martin G.
Bo, Sun
author_facet Leysinger Vieli, Gwendolyn J.-M.C.
Hindmarsh, Richard C.A.
Siegert, Martin G.
Bo, Sun
author_sort Leysinger Vieli, Gwendolyn J.-M.C.
title Time-dependence of the spatial pattern of accumulation rate in East Antarctica deduced from isochronic radar layers using a 3D numerical ice-flow model
title_short Time-dependence of the spatial pattern of accumulation rate in East Antarctica deduced from isochronic radar layers using a 3D numerical ice-flow model
title_full Time-dependence of the spatial pattern of accumulation rate in East Antarctica deduced from isochronic radar layers using a 3D numerical ice-flow model
title_fullStr Time-dependence of the spatial pattern of accumulation rate in East Antarctica deduced from isochronic radar layers using a 3D numerical ice-flow model
title_full_unstemmed Time-dependence of the spatial pattern of accumulation rate in East Antarctica deduced from isochronic radar layers using a 3D numerical ice-flow model
title_sort time-dependence of the spatial pattern of accumulation rate in east antarctica deduced from isochronic radar layers using a 3d numerical ice-flow model
publisher American Geophysical Union
publishDate 2011
url http://nora.nerc.ac.uk/id/eprint/14642/
https://nora.nerc.ac.uk/id/eprint/14642/1/jgrf781.pdf
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2010JF001785
geographic East Antarctica
South Pole
geographic_facet East Antarctica
South Pole
genre Antarc*
Antarctica
East Antarctica
South pole
South pole
genre_facet Antarc*
Antarctica
East Antarctica
South pole
South pole
op_relation https://nora.nerc.ac.uk/id/eprint/14642/1/jgrf781.pdf
Leysinger Vieli, Gwendolyn J.-M.C.; Hindmarsh, Richard C.A. orcid:0000-0003-1633-2416
Siegert, Martin G.; Bo, Sun. 2011 Time-dependence of the spatial pattern of accumulation rate in East Antarctica deduced from isochronic radar layers using a 3D numerical ice-flow model. Journal of Geophysical Research, 116 (F2), F02018. 17, pp. https://doi.org/10.1029/2010JF001785 <https://doi.org/10.1029/2010JF001785>
op_doi https://doi.org/10.1029/2010JF001785
container_title Journal of Geophysical Research: Earth Surface
container_volume 116
container_issue F2
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