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| Titel |
Snow accumulation variability derived from radar and firn core data along a 600 km transect in Adelie Land, East Antarctic plateau |
| VerfasserIn |
D. Verfaillie, M. Fily, E. Meur, O. Magand, B. Jourdain, L. Arnaud, V. Favier |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1994-0416
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| Digitales Dokument |
URL |
| Erschienen |
In: The Cryosphere ; 6, no. 6 ; Nr. 6, no. 6 (2012-11-16), S.1345-1358 |
| Datensatznummer |
250003870
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| Publikation (Nr.) |
 copernicus.org/tc-6-1345-2012.pdf |
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| Zusammenfassung |
| The mass balance of ice sheets is an intensively studied topic in
the context of global change and sea-level rise. However – particularly in Antarctica – obtaining
mass balance estimates remains difficult
due to various logistical problems. In the framework of the TASTE-IDEA
(Trans-Antarctic Scientific Traverses Expeditions – Ice Divide of East Antarctica)
program, an International Polar Year project, continuous
ground penetrating radar (GPR) measurements were carried out during
a traverse in Adelie Land (East Antarctica) during the
2008–2009 austral summer between the Italian–French Dome C (DC) polar
plateau site and French Dumont D'Urville (DdU) coastal station. The
aim of this study was to process and interpret GPR data in terms of
snow accumulation, to analyse its spatial and temporal variability
and compare it with historical data and
modelling. The focus was on the last 300 yr, from
the pre-industrial period to recent times. Beta-radioactivity counting
and gamma spectrometry were applied to cores at the LGGE laboratory,
providing a depth–age calibration for radar measurements. Over the
600 km of usable GPR data, depth and snow accumulation were
determined with the help of three distinct layers visible on the
radargrams (≈ 1730, 1799 and 1941 AD). Preliminary results
reveal a gradual increase in accumulation towards the coast
(from ≈ 3 cm w.e. a−1 at Dome C to ≈ 17 cm w.e. a−1
at the end of the transect) and previously undocumented undulating structures between
300 and 600 km from DC. Results agree fairly well with data
from previous studies and modelling. Drawing final conclusions on temporal variations
is difficult because of the margin of error introduced by density
estimation. This study should have various applications, including
model validation. |
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