Articles | Volume 15, issue 10
https://doi.org/10.5194/essd-15-4463-2023
https://doi.org/10.5194/essd-15-4463-2023
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: 1,879 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,316 517 46 1,879 20 39
  • HTML: 1,316
  • PDF: 517
  • XML: 46
  • Total: 1,879
  • BibTeX: 20
  • EndNote: 39
Views and downloads (calculated since 06 Mar 2023)
Cumulative views and downloads (calculated since 06 Mar 2023)

Viewed (geographical distribution)

Total article views: 1,879 (including HTML, PDF, and XML) Thereof 1,835 with geography defined and 44 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 02 Mar 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.
Altmetrics
Final-revised paper
Preprint