Journal metrics

Journal metrics

  • IF value: 4.524 IF 4.524
  • IF 5-year value: 5.558 IF 5-year 5.558
  • CiteScore value: 4.84 CiteScore 4.84
  • SNIP value: 1.425 SNIP 1.425
  • SJR value: 3.034 SJR 3.034
  • IPP value: 4.65 IPP 4.65
  • h5-index value: 52 h5-index 52
  • Scimago H index value: 55 Scimago H index 55
Volume 10, issue 5 | Copyright

Special issue: International Partnerships in Ice Core Sciences (IPICS) Second...

The Cryosphere, 10, 2415-2428, 2016
https://doi.org/10.5194/tc-10-2415-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 17 Oct 2016

Research article | 17 Oct 2016

Three-year monitoring of stable isotopes of precipitation at Concordia Station, East Antarctica

Barbara Stenni1, Claudio Scarchilli2, Valerie Masson-Delmotte3, Elisabeth Schlosser4,5, Virginia Ciardini2, Giuliano Dreossi1, Paolo Grigioni2, Mattia Bonazza6, Anselmo Cagnati7, Daniele Karlicek8, Camille Risi9, Roberto Udisti10, and Mauro Valt7 Barbara Stenni et al.
  • 1Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Venice, Italy
  • 2Laboratory for Observations and Analyses of the Earth and Climate, ENEA, Rome, Italy
  • 3LSCE (UMR 8212 CEA-CNRS-UVSQ/IPSL), Université Paris Saclay, Gif-sur-Yvette, France
  • 4Institute of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria
  • 5Austrian Polar Research Institute, Vienna, Austria
  • 6Faculty of Forest Sciences and Forest Ecology, Bioclimatology Department, Georg-August-Universität, Göttingen, Germany
  • 7ARPA Center of Avalanches, Arabba, Italy
  • 8Department of Mathematics and Geosciences, University of Trieste, Trieste, Italy
  • 9Laboratoire de Météorologie Dynamique, Institut Pierre Simon Laplace, CNRS, UPMC, Paris, France
  • 10Department of Chemistry “Ugo Schiff”, University of Florence, Florence, Italy

Abstract. Past temperature reconstructions from Antarctic ice cores require a good quantification and understanding of the relationship between snow isotopic composition and 2m air or inversion (condensation) temperature. Here, we focus on the French–Italian Concordia Station, central East Antarctic plateau, where the European Project for Ice Coring in Antarctica (EPICA) Dome C ice cores were drilled. We provide a multi-year record of daily precipitation types identified from crystal morphologies, daily precipitation amounts and isotopic composition. Our sampling period (2008–2010) encompasses a warmer year (2009, +1.2°C with respect to 2m air temperature long-term average 1996–2010), with larger total precipitation and snowfall amounts (14 and 76% above sampling period average, respectively), and a colder and drier year (2010, −1.8°C, 4% below long-term and sampling period averages, respectively) with larger diamond dust amounts (49% above sampling period average). Relationships between local meteorological data and precipitation isotopic composition are investigated at daily, monthly and inter-annual scale, and for the different types of precipitation. Water stable isotopes are more closely related to 2m air temperature than to inversion temperature at all timescales (e.g. R2 = 0.63 and 0.44, respectively for daily values). The slope of the temporal relationship between daily δ18O and 2m air temperature is approximately 2 times smaller (0.49°C−1) than the average Antarctic spatial (0.8°C−1) relationship initially used for the interpretation of EPICA Dome C records. In accordance with results from precipitation monitoring at Vostok and Dome F, deuterium excess is anti-correlated with δ18O at daily and monthly scales, reaching maximum values in winter. Hoar frost precipitation samples have a specific fingerprint with more depleted δ18O (about 5‰ below average) and higher deuterium excess (about 8‰ above average) values than other precipitation types. These datasets provide a basis for comparison with shallow ice core records, to investigate post-deposition effects. A preliminary comparison between observations and precipitation from the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis and the simulated water stable isotopes from the Laboratoire de Météorologie Dynamique Zoom atmospheric general circulation model (LMDZiso) shows that models do correctly capture the amount of precipitation as well as more than 50% of the variance of the observed δ18O, driven by large-scale weather patterns. Despite a warm bias and an underestimation of the variance in water stable isotopes, LMDZiso correctly captures these relationships between δ18O, 2m air temperature and deuterium excess. Our dataset is therefore available for further in-depth model evaluation at the synoptic scale.

Download & links
  • Notice on corrigendum

    The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

  • Article (3681 KB)
Publications Copernicus
Special issue
Download
Notice on corrigendum

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
Here, we focus on the Concordia Station, central East Antarctic plateau, providing a multi-year record (2008–2010) of daily precipitation types identified from crystal morphologies, precipitation amounts and isotopic composition. Relationships between local meteorological data and precipitation oxygen isotope composition are investigated. Our dataset is available for in-depth model evaluation at the synoptic scale.
Here, we focus on the Concordia Station, central East Antarctic plateau, providing a multi-year...
Citation
Share