Articles | Volume 14, issue 5
https://doi.org/10.5194/essd-14-2195-2022
https://doi.org/10.5194/essd-14-2195-2022
Data description paper
 | 
06 May 2022
Data description paper |  | 06 May 2022

HCPD-CA: high-resolution climate projection dataset in central Asia

Yuan Qiu, Jinming Feng, Zhongwei Yan, and Jun Wang

Viewed

Total article views: 3,611 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,515 976 120 3,611 157 110 166
  • HTML: 2,515
  • PDF: 976
  • XML: 120
  • Total: 3,611
  • Supplement: 157
  • BibTeX: 110
  • EndNote: 166
Views and downloads (calculated since 03 Nov 2021)
Cumulative views and downloads (calculated since 03 Nov 2021)

Viewed (geographical distribution)

Total article views: 3,611 (including HTML, PDF, and XML) Thereof 3,454 with geography defined and 157 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 09 Jan 2026
Download
Short summary
A high-resolution climate projection dataset in central Asia, named the HCPD-CA dataset, is derived from the dynamically downscaled results based on three bias-corrected global climate models and contains 4 geostatic variables and 10 meteorological elements that are widely used to drive ecological and hydrological models. This dataset can serve as a scientific basis for assessing the potential impacts of projected climate changes over central Asia on many sectors.
Share
Altmetrics
Final-revised paper
Preprint