Preprints
https://doi.org/10.5194/essd-2022-384
https://doi.org/10.5194/essd-2022-384
30 Nov 2022
 | 30 Nov 2022
Status: this preprint was under review for the journal ESSD but the revision was not accepted.

The Ant-Iso dataset: a compilation of Antarctic surface snow isotopic observations

Jiajia Wang, Hongxi Pang, Shuangye Wu, Spruce W. Schoenemann, Ryu Uemura, Alexey Ekaykin, Martin Werner, Alexandre Cauquoin, Sentia Goursaud Oger, Summer Rupper, and Shugui Hou

Abstract. 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we present a new compilation of Antarctic surface snow isotopic dataset with strict quality control from published and unpublished sources including measurements from snow pits, snow cores, ice cores, deep surface snow, and precipitation (multi-year average values).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 (δ18O) and 1278 locations for deuterium isotope ratio (δ2H). 1204 locations have both δ18O and δ2H, from which d-excess (d-excess = δ2H − 8 × δ18O) 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 https://doi.org/10.5281/zenodo.7294183 (Wang et al., 2022).

Jiajia Wang, Hongxi Pang, Shuangye Wu, Spruce W. Schoenemann, Ryu Uemura, Alexey Ekaykin, Martin Werner, Alexandre Cauquoin, Sentia Goursaud Oger, Summer Rupper, and Shugui Hou

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-384', Anonymous Referee #1, 24 Jan 2023
    • AC2: 'Reply on RC1', Wang Jia, 07 Apr 2023
  • RC2: 'Comment on essd-2022-384', Anonymous Referee #2, 03 Feb 2023
    • AC1: 'Reply on RC2', Wang Jia, 07 Apr 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-384', Anonymous Referee #1, 24 Jan 2023
    • AC2: 'Reply on RC1', Wang Jia, 07 Apr 2023
  • RC2: 'Comment on essd-2022-384', Anonymous Referee #2, 03 Feb 2023
    • AC1: 'Reply on RC2', Wang Jia, 07 Apr 2023
Jiajia Wang, Hongxi Pang, Shuangye Wu, Spruce W. Schoenemann, Ryu Uemura, Alexey Ekaykin, Martin Werner, Alexandre Cauquoin, Sentia Goursaud Oger, Summer Rupper, and Shugui Hou

Data sets

Antarctic surface snow isotopic dataset Jiajia Wang; Hongxi Pang; Shugui Hou https://doi.org/10.5281/zenodo.7294183

Jiajia Wang, Hongxi Pang, Shuangye Wu, Spruce W. Schoenemann, Ryu Uemura, Alexey Ekaykin, Martin Werner, Alexandre Cauquoin, Sentia Goursaud Oger, Summer Rupper, and Shugui Hou

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Short summary
Stable water isotopic observations in surface snow over Antarctica provide a basis for validating isotopic models and interpreting Antarctic ice core records. This study presents a new compilation of Antarctic surface snow isotopic dataset based on published and unpublished sources. The database has a wide range of potential applications in studying spatial distribution of water isotopes, model validation, and reconstruction and interpretation of Antarctic ice core records.
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