Earth System Science Data (Mar 2024)

Dataset of stable isotopes of precipitation in the Eurasian continent

  • L. Chen,
  • L. Chen,
  • L. Chen,
  • Q. Wang,
  • Q. Wang,
  • Q. Wang,
  • G. Zhu,
  • G. Zhu,
  • G. Zhu,
  • X. Lin,
  • X. Lin,
  • X. Lin,
  • D. Qiu,
  • D. Qiu,
  • D. Qiu,
  • Y. Jiao,
  • Y. Jiao,
  • Y. Jiao,
  • S. Lu,
  • S. Lu,
  • S. Lu,
  • R. Li,
  • R. Li,
  • R. Li,
  • G. Meng,
  • G. Meng,
  • G. Meng,
  • Y. Wang,
  • Y. Wang,
  • Y. Wang

DOI
https://doi.org/10.5194/essd-16-1543-2024
Journal volume & issue
Vol. 16
pp. 1543 – 1557

Abstract

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Stable isotopes in precipitation can effectively reveal the process of atmospheric water circulation, serving as an effective tool for hydrological and water resource research, climate change, and ecosystem studies. The scarcity of stable isotope data in precipitation has hindered comprehension of the regional hydrology, climate, and ecology due to discontinuities on a temporal scale and unevenness on a spatial scale. To this end, we collated stable hydrogen and oxygen isotope data in precipitation from 842 stations in Eurasia from 1961 to 2022, totalling 51 752 data records. Stable isotopes in precipitation across various regions of Eurasia, as a whole, decrease with increasing latitude and distance from the coast. In the summer, stable isotopes in precipitation are relatively enriched, while in the winter, they are relatively depleted. In recent decades, the stable isotope values of Eurasian precipitation show an overall trend of increasing variation with the advancement of years, which is associated with global warming. Geographical location, underlying surface conditions, seasons, and atmospheric circulation are all factors that determine the characteristics of stable isotopes in precipitation. The dataset of stable isotopes in Eurasian precipitation provides a powerful tool for understanding changes in regional atmospheric water circulation and assists in conducting hydrological, meteorological, and ecological studies in related regions. The datasets are available at https://doi.org/10.17632/rbn35yrbd2.2 (Zhu, 2024).