Preprints
https://doi.org/10.5194/essd-2024-297
https://doi.org/10.5194/essd-2024-297
13 Aug 2024
 | 13 Aug 2024
Status: this preprint is currently under review for the journal ESSD.

Global Stable Isotope Dataset for Surface Water

Rui Li, Guofeng Zhu, Longhu Chen, Xiaoyu Qi, Siyu Lu, Gaojia Meng, Yuhao Wang, Wenmin Li, Zhijie Zheng, Jiangwei Yang, and Yani Gun

Abstract. Hydrogen and oxygen-stable isotopes are widely used as tracers of the water cycle, and surface water is an integral part of the water cycle. Compared with other water bodies, surface water is more susceptible to different natural and anthropogenic factors, and an accurate understanding of surface water changes is of great significance in ensuring regional water security, maintaining ecological balance, and promoting sustainable economic and social development. Due to the influence of observation conditions and instrumental analysis, global surface water isotopes' spatial and temporal distribution could be more balanced worldwide. For this reason, we have compiled and analyzed the stable hydrogen and oxygen isotope data in surface water from 22432 sampling stations worldwide from 1956 to 2023, with 102862 data records. The results found that (1) surface water stable isotopes are gradually depleted from the equator to the poles and from the coast to the interior. However, there are significant differences in the spatial and temporal distributions of surface water isotopes in different regions. (2) The variation of stable isotopes in surface water is controlled by geographic location, topographic conditions, and meteorological factors (especially temperature), and its heterogeneity is considerable. The global stable isotope dataset of surface water provides vital information for an in-depth understanding of the water cycle and climate change. It can provide essential data references for global water resource management and research. The Global Surface Water Stable Isotope Dataset is available at https://doi.org/10.17632/fs7rwp7fpr.1 (Zhu, 2024).

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Rui Li, Guofeng Zhu, Longhu Chen, Xiaoyu Qi, Siyu Lu, Gaojia Meng, Yuhao Wang, Wenmin Li, Zhijie Zheng, Jiangwei Yang, and Yani Gun

Status: open (until 23 Nov 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Rui Li, Guofeng Zhu, Longhu Chen, Xiaoyu Qi, Siyu Lu, Gaojia Meng, Yuhao Wang, Wenmin Li, Zhijie Zheng, Jiangwei Yang, and Yani Gun

Data sets

Global Stable Isotope Dataset for Surface Water Guofeng Zhu https://doi.org/10.17632/fs7rwp7fpr.1

Rui Li, Guofeng Zhu, Longhu Chen, Xiaoyu Qi, Siyu Lu, Gaojia Meng, Yuhao Wang, Wenmin Li, Zhijie Zheng, Jiangwei Yang, and Yani Gun

Viewed

Total article views: 360 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
290 47 23 360 8 13
  • HTML: 290
  • PDF: 47
  • XML: 23
  • Total: 360
  • BibTeX: 8
  • EndNote: 13
Views and downloads (calculated since 13 Aug 2024)
Cumulative views and downloads (calculated since 13 Aug 2024)

Viewed (geographical distribution)

Total article views: 327 (including HTML, PDF, and XML) Thereof 327 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 02 Nov 2024
Download
Short summary
The study of hydrogen and oxygen stable isotopes in surface water is vital for understanding the global water cycle and its response to climate change. Analyzing data from 22432 global sampling stations over 67 years, we uncover spatial and temporal variations in isotopes, showing depletion from the equator to the poles and from coastal to inland areas. These variations, influenced by geographic, topographic, and meteorological factors, reveal the water cycle's heterogeneity.
Altmetrics