Articles | Volume 19, issue 18
https://doi.org/10.5194/gmd-19-8977-2026
https://doi.org/10.5194/gmd-19-8977-2026
Methods for assessment of models
 | 
23 Sep 2026
Methods for assessment of models |  | 23 Sep 2026

CMIP6 data usage: lessons learned from more than 200 million downloads

Juliette Lavoie, Aude Carreric, Alistair Duffey, Giovanni Chellini, and Elisa Ziegler

Viewed

Total article views: 2,222 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,416 729 77 2,222 167 71 80
  • HTML: 1,416
  • PDF: 729
  • XML: 77
  • Total: 2,222
  • Supplement: 167
  • BibTeX: 71
  • EndNote: 80
Views and downloads (calculated since 17 Mar 2026)
Cumulative views and downloads (calculated since 17 Mar 2026)

Viewed (geographical distribution)

Total article views: 2,222 (including HTML, PDF, and XML) Thereof 2,147 with geography defined and 75 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Sep 2026
Download
Short summary
The Coupled Model Intercomparison Project (CMIP) is a large collaborative project to better understand the Earth’s climate system. The data produced through this project is downloaded by users around the world. In this paper, we analyze the patterns of downloads and the usage of this massive dataset. From this analysis, we make some recommendations for future data production and usage tracking.
Share