Articles | Volume 13, issue 11
https://doi.org/10.5194/essd-13-5087-2021
https://doi.org/10.5194/essd-13-5087-2021
Data description paper
 | 
04 Nov 2021
Data description paper |  | 04 Nov 2021

A 1 km global dataset of historical (1979–2013) and future (2020–2100) Köppen–Geiger climate classification and bioclimatic variables

Diyang Cui, Shunlin Liang, Dongdong Wang, and Zheng Liu

Viewed

Total article views: 8,977 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
6,540 2,259 178 8,977 595 173 211
  • HTML: 6,540
  • PDF: 2,259
  • XML: 178
  • Total: 8,977
  • Supplement: 595
  • BibTeX: 173
  • EndNote: 211
Views and downloads (calculated since 03 Jun 2021)
Cumulative views and downloads (calculated since 03 Jun 2021)

Viewed (geographical distribution)

Total article views: 8,977 (including HTML, PDF, and XML) Thereof 8,623 with geography defined and 354 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Dec 2025
Download
Short summary
Large portions of the Earth's surface are expected to experience changes in climatic conditions. The rearrangement of climate distributions can lead to serious impacts on ecological and social systems. Major climate zones are distributed in a predictable pattern and are largely defined following the Köppen climate classification. This creates an urgent need to compile a series of Köppen climate classification maps with finer spatial and temporal resolutions and improved accuracy.
Share
Altmetrics
Final-revised paper
Preprint