Articles | Volume 17, issue 3
https://doi.org/10.5194/essd-17-1265-2025
https://doi.org/10.5194/essd-17-1265-2025
Data description paper
 | 
27 Mar 2025
Data description paper |  | 27 Mar 2025

Gridded rainfall erosivity (2014–2022) in mainland China using 1 min precipitation data from densely distributed weather stations

Yueli Chen, Yun Xie, Xingwu Duan, and Minghu Ding

Viewed

Total article views: 1,598 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,213 292 93 1,598 22 51 87
  • HTML: 1,213
  • PDF: 292
  • XML: 93
  • Total: 1,598
  • Supplement: 22
  • BibTeX: 51
  • EndNote: 87
Views and downloads (calculated since 20 Jun 2024)
Cumulative views and downloads (calculated since 20 Jun 2024)

Viewed (geographical distribution)

Total article views: 1,598 (including HTML, PDF, and XML) Thereof 1,553 with geography defined and 45 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Aug 2025
Download
Short summary
Rainfall erosivity maps are crucial for identifying key areas of water erosion. Due to the limited historical precipitation data, there are certain biases in rainfall erosivity estimates in China. This study develops a new rainfall erosivity map for mainland China using 1 min precipitation data from 60 129 weather stations, revealing that areas exceeding 4000 MJ mm ha−1 h−1yr−1 of annual rainfall erosivity are mainly concentrated in southern China and on the southern Tibetan Plateau.
Share
Altmetrics
Final-revised paper
Preprint