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The Cryosphere, 10, 837-852, 2016
https://doi.org/10.5194/tc-10-837-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
15 Apr 2016
Acquisition of isotopic composition for surface snow in East Antarctica and the links to climatic parameters
Alexandra Touzeau1, Amaëlle Landais1, Barbara Stenni2, Ryu Uemura3, Kotaro Fukui4, Shuji Fujita5,6, Sarah Guilbaud7, Alexey Ekaykin8,9, Mathieu Casado1, Eugeni Barkan10, Boaz Luz10, Olivier Magand11, Grégory Teste11, Emmanuel Le Meur11, Mélanie Baroni12, Joël Savarino11, Ilann Bourgeois13, and Camille Risi14 1LSCE – UMR CEA-CNRS-UVSQ-Université Paris Saclay, 8212-IPSL, Gif-sur-Yvette, France
2DAIS, Ca'Foscari University of Venice, Venice, Italy
3Faculty of Science, University of the Ryukyus, Okinawa, Japan
4Tateyama Caldera Sabo Museum, Toyama, Japan
5National Institute of Polar Research, Research Organization of Information and Systems, Tokyo, Japan
6Department of Polar Science, The Graduate University for Advanced Studies (SOKENDAI), Tokyo, Japan
7LPCA, Université du Littoral Côte d'Opale, Dunkirk, France
8Arctic and Antarctic Research Institute, St. Petersburg, Russia
9Saint Petersburg State University, St. Petersburg, Russia
10Institute of Earth Sciences, Hebrew University of Jerusalem, Jerusalem, Israel
11Univ. Grenoble Alpes/CNRS, Laboratoire de Glaciologie et Géophysique de l'Environnement (LGGE), 38041 Grenoble, France
12LECA, UMR5553 – CNRS-UJF, Université Joseph Fourier, Grenoble, France
13Aix-Marseille Université, CNRS, IRD, CEREGE – UM34, 13545 Aix-en-Provence, France
14Laboratoire de Météorologie Dynamique, Paris, France
Abstract. The isotopic compositions of oxygen and hydrogen in ice cores are invaluable tools for the reconstruction of past climate variations. Used alone, they give insights into the variations of the local temperature, whereas taken together they can provide information on the climatic conditions at the point of origin of the moisture. However, recent analyses of snow from shallow pits indicate that the climatic signal can become erased in very low accumulation regions, due to local processes of snow reworking. The signal-to-noise ratio decreases and the climatic signal can then only be retrieved using stacks of several snow pits. Obviously, the signal is not completely lost at this stage, otherwise it would be impossible to extract valuable climate information from ice cores as has been done, for instance, for the last glaciation. To better understand how the climatic signal is passed from the precipitation to the snow, we present here results from varied snow samples from East Antarctica. First, we look at the relationship between isotopes and temperature from a geographical point of view, using results from three traverses across Antarctica, to see how the relationship is built up through the distillation process. We also take advantage of these measures to see how second-order parameters (d-excess and 17O-excess) are related to δ18O and how they are controlled. d-excess increases in the interior of the continent (i.e., when δ18O decreases), due to the distillation process, whereas 17O-excess decreases in remote areas, due to kinetic fractionation at low temperature. In both cases, these changes are associated with the loss of original information regarding the source. Then, we look at the same relationships in precipitation samples collected over 1 year at Dome C and Vostok, as well as in surface snow at Dome C. We note that the slope of the δ18O vs. temperature (T) relationship decreases in these samples compared to those from the traverses, and thus caution is advocated when using spatial slopes for past climate reconstruction. The second-order parameters behave in the same way in the precipitation as in the surface snow from traverses, indicating that similar processes are active and that their interpretation in terms of source climatic parameters is strongly complicated by local temperature effects in East Antarctica. Finally we check if the same relationships between δ18O and second-order parameters are also found in the snow from four snow pits. While the d-excess remains opposed to δ18O in most snow pits, the 17O-excess is no longer positively correlated to δ18O and even shows anti-correlation to δ18O at Vostok. This may be due to a stratospheric influence at this site and/or to post-deposition processes.

Citation: Touzeau, A., Landais, A., Stenni, B., Uemura, R., Fukui, K., Fujita, S., Guilbaud, S., Ekaykin, A., Casado, M., Barkan, E., Luz, B., Magand, O., Teste, G., Le Meur, E., Baroni, M., Savarino, J., Bourgeois, I., and Risi, C.: Acquisition of isotopic composition for surface snow in East Antarctica and the links to climatic parameters, The Cryosphere, 10, 837-852, https://doi.org/10.5194/tc-10-837-2016, 2016.
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Short summary
The relationship between water isotope ratios and temperature is investigated in precipitation snow at Vostok and Dome C, as well as in surface snow along traverses. The temporal slope of the linear regression for the precipitation is smaller than the geographical slope. Thus, using the latter could lead to an underestimation of past temperature changes. The processes active at remote sites (best glacial analogs) are explored through a combination of water isotopes in short snow pits.
The relationship between water isotope ratios and temperature is investigated in precipitation...
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