ESSDD Earth System Science Data Discussions ESSDD Earth Syst. Sci. Data Discuss. 1866-3591 Göttingen, Germany 10.5194/essd-2022-384 The Ant-Iso dataset: a compilation of Antarctic surface snow isotopic observations Wang Jiajia https://orcid.org/0000-0002-2630-0285 1 Pang Hongxi 1 Wu Shuangye 2 Schoenemann Spruce W. https://orcid.org/0000-0002-2361-9338 3 Uemura Ryu https://orcid.org/0000-0002-4236-0085 4 Ekaykin Alexey https://orcid.org/0000-0001-9819-2802 5 6 Werner Martin https://orcid.org/0000-0002-6473-0243 7 Cauquoin Alexandre https://orcid.org/0000-0002-4620-4696 8 Goursaud Oger Sentia 9 12 Rupper Summer 10 Hou Shugui https://orcid.org/0000-0002-0905-3542 1 11 Key Laboratory of Coast and Island development of Ministry of Education, School of Geography and Ocean Science, Nanjing University, Nanjing, China Department of Geology and Environmental Geosciences, University of Dayton, Dayton, USA Environmental Sciences Department, The University of Montana Western, Dillon, MT, 59725, USA Graduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan Climate and Environmental Research Laboratory, Arctic and Antarctic Research Institute, 38 Beringa st., 199397 St. Petersburg, Russia St. Petersburg State University, 33–35, 10th line VO, 199178 St. Petersburg, Russia Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Sciences, Bremerhaven, Germany Institute of Industrial Science (IIS), The University of Tokyo, Kashiwa, Japan Department of Earth Sciences, University of Cambridge, Cambridge, UK Department of Geography, University of Utah, Salt Lake City, UA, United States School of Oceanography, Shanghai Jiao Tong University, Shanghai, China Currently CEA, DAM, DIF, F-91297 Arpajon, France 30 11 2022 2022 1 23 Copyright: © 2022 Jiajia Wang et al. 2022 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://essd.copernicus.org/preprints/essd-2022-384/ The full text article is available as a PDF file from https://essd.copernicus.org/preprints/essd-2022-384/essd-2022-384.pdf

<p>Stable water isotopic observations in surface snow over Antarctica provide a foundation for validating isotopic models and interpreting Antarctic ice core records. Here, we present a new compilation of Antarctic surface snow isotopic dataset with strict quality control from published and unpublished sources including measurements from snow pits, snow cores, ice cores, deep surface snow, and precipitation (multi-year average values). The dataset contains a total of 1867 data points, including 1604 locations for oxygen isotope ratio (&delta;<sup>18</sup>O) and 1278 locations for deuterium isotope ratio (&delta;<sup>2</sup>H). 1204 locations have both &delta;<sup>18</sup>O and &delta;<sup>2</sup>H, from which d-excess (d-excess = &delta;<sup>2</sup>H &minus; 8 &times; &delta;<sup>18</sup>O) can be calculated. The dataset also contains geographic and climate information. The database has a wide range of potential applications, such as the study of the spatial distribution of water isotopes in Antarctica, the evaluation of climate models, and the reconstruction and interpretation of Antarctic ice core records. As an example of model evaluation, the compiled isotopic dataset is used to assess the performance of isotope-enabled atmospheric general circulation models (AGCMs) on simulating the spatial distribution of water isotopes over Antarctica. This dataset is the most comprehensive compilation so far of observed water isotope records at multi-year average scale from multiple sources for Antarctica. It is available for download at <a href="https://doi.org/10.5281/zenodo.7294183" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.7294183</a> (Wang et al., 2022).</p>

 National Natural Science Foundation of China 41622605 41830644 91837102 Fundamental Research Funds for the Central Universities 020914380190