Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 15, issue 10
Articles | Volume 15, issue 10
https://doi.org/10.5194/essd-15-4463-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-4463-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 10
Data description paper
 | 
06 Oct 2023
Data description paper |  | 06 Oct 2023

A global streamflow indices time series dataset for large-sample hydrological analyses on streamflow regime (until 2022)

Xinyu Chen, Liguang Jiang, Yuning Luo, and Junguo Liu

Viewed

Total article views: 2,740 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,900 760 80 2,740 49 72
  • HTML: 1,900
  • PDF: 760
  • XML: 80
  • Total: 2,740
  • BibTeX: 49
  • EndNote: 72
Views and downloads (calculated since 06 Mar 2023)
Cumulative views and downloads (calculated since 06 Mar 2023)

Viewed (geographical distribution)

Total article views: 2,740 (including HTML, PDF, and XML) Thereof 2,668 with geography defined and 72 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Sep 2024
Download
Short summary
River flow is experiencing changes under the impacts of climate change and human activities. For example, flood events are occurring more often and are more destructive in many places worldwide. To deal with such issues, hydrologists endeavor to understand the features of extreme events as well as other hydrological changes. One key approach is analyzing flow characteristics, represented by hydrological indices. Building such a comprehensive global large-sample dataset is essential.
Read more
Altmetrics
Final-revised paper
Preprint