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1000 Titel
  • Surface processes and drivers of the snow water stable isotopic composition at Dome C, East Antarctica – a multi-dataset and modelling analysis
1000 Autor/in
  1. Ollivier, Inès |
  2. Steen-Larsen, Hans Christian |
  3. Stenni, Barbara |
  4. arnaud, laurent |
  5. Casado, Mathieu |
  6. Cauquoin, Alexandre |
  7. Dreossi, Giuliano |
  8. Genthon, Christophe |
  9. Minster, Bénédicte |
  10. Picard, Ghislain |
  11. Martin Werner |
  12. Landais, Amaëlle |
1000 Verlag Copernicus Publications
1000 Erscheinungsjahr 2025
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2025-01-16
1000 Erschienen in
1000 Quellenangabe
  • 19(1):173-200
1000 Copyrightjahr
  • 2025
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/tc-19-173-2025 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:p>Abstract. Water stable isotope records in polar ice cores have been largely used to reconstruct past local temperatures and other climatic information such as evaporative source region conditions of the precipitation reaching the ice core sites. However, recent studies have identified post-depositional processes taking place at the ice sheet's surface, modifying the original precipitation signal and challenging the traditional interpretation of ice core isotopic records. In this study, we use a combination of existing and new datasets of precipitation, snow surface, and subsurface isotopic compositions (δ18O and deuterium excess (d-excess)); meteorological parameters; ERA5 reanalyses; outputs from the isotope-enabled climate model ECHAM6-wiso; and a simple modelling approach to investigate the transfer function of water stable isotopes from precipitation to the snow surface and subsurface at Dome C in East Antarctica. We first show that water vapour fluxes at the surface of the ice sheet result in a net annual sublimation of snow, from 3.1 to 3.7 mm w.e. yr−1 (water equivalent) between 2018 and 2020, corresponding to 12 % to 15 % of the annual surface mass balance. We find that the precipitation isotopic signal cannot fully explain the mean, nor the variability in the isotopic composition observed in the snow, from annual to intra-monthly timescales. We observe that the mean effect of post-depositional processes over the study period enriches the snow surface in δ18O by 3.0 ‰ to 3.3 ‰ and lowers the snow surface d-excess by 3.4 ‰ to 3.5 ‰ compared to the incoming precipitation isotopic signal. We also show that the mean isotopic composition of the snow subsurface is not statistically different from that of the snow surface, indicating the preservation of the mean isotopic composition of the snow surface in the top centimetres of the snowpack. This study confirms previous findings about the complex interpretation of the water stable isotopic signal in the snow and provides the first quantitative estimation of the impact of post-depositional processes on the snow isotopic composition at Dome C, a crucial step for the accurate interpretation of isotopic records from ice cores. </jats:p>
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1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-8032-8772|https://orcid.org/0000-0002-7202-5907|https://orcid.org/0000-0003-4950-3664|https://orcid.org/0000-0002-4432-4205|https://orcid.org/0000-0002-8185-415X|https://orcid.org/0000-0002-4620-4696|https://frl.publisso.de/adhoc/uri/RHJlb3NzaSwgR2l1bGlhbm8=|https://orcid.org/0000-0002-3678-4447|https://frl.publisso.de/adhoc/uri/TWluc3RlciwgQsOpbsOpZGljdGU=|https://orcid.org/0000-0003-1475-5853|https://orcid.org/0000-0002-6473-0243|https://frl.publisso.de/adhoc/uri/TGFuZGFpcywgQW1hw6tsbGU=
1000 Hinweis
  • DeepGreen-ID: 495bc6bd59fa431fb7e013d423021bf2 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Förderer
  1. Horizon 2020 |
  2. Institut Polaire Français Paul Emile Victor |
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1000 Förderprogramm
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1000 Dateien
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    1000 Förderer Horizon 2020 |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Institut Polaire Français Paul Emile Victor |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6489969.rdf
1000 Erstellt am 2025-02-03T09:59:12.057+0100
1000 Erstellt von 322
1000 beschreibt frl:6489969
1000 Zuletzt bearbeitet 2025-09-09T11:14:00.722+0200
1000 Objekt bearb. Tue Sep 09 11:14:00 CEST 2025
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