Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 3
Articles | Volume 17, issue 3
https://doi.org/10.5194/essd-17-837-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-837-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 3
Data description paper
 | 
05 Mar 2025
Data description paper |  | 05 Mar 2025

A new high-resolution multi-drought-index dataset for mainland China

Qi Zhang, Chiyuan Miao, Jiajia Su, Jiaojiao Gou, Jinlong Hu, Xi Zhao, and Ye Xu

Viewed

Total article views: 2,953 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,128 554 271 2,953 115 35 34
  • HTML: 2,128
  • PDF: 554
  • XML: 271
  • Total: 2,953
  • Supplement: 115
  • BibTeX: 35
  • EndNote: 34
Views and downloads (calculated since 23 Jul 2024)
Cumulative views and downloads (calculated since 23 Jul 2024)

Viewed (geographical distribution)

Total article views: 2,953 (including HTML, PDF, and XML) Thereof 2,845 with geography defined and 108 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 05 Apr 2025
Download
Short summary
Our study introduces CHM_Drought, an advanced meteorological drought dataset covering mainland China, offering detailed insights from 1961 to 2022 at a spatial resolution of 0.1°. This dataset incorporates six key drought indices, including multi-scale versions, facilitating early detection and monitoring of droughts. Through the provision of consistent and reliable data, CHM_Drought enhances our understanding of drought patterns, aiding in effective water management and agricultural planning.
Read more
Share
Altmetrics
Final-revised paper
Preprint