Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 19
Articles | Volume 16, issue 19
https://doi.org/10.5194/gmd-16-5515-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-5515-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 19
Model description paper
 | 
04 Oct 2023
Model description paper |  | 04 Oct 2023

All aboard! Earth system investigations with the CH2O-CHOO TRAIN v1.0

Tyler Kukla, Daniel E. Ibarra, Kimberly V. Lau, and Jeremy K. C. Rugenstein

Viewed

Total article views: 3,665 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,798 765 102 3,665 195 109 169
  • HTML: 2,798
  • PDF: 765
  • XML: 102
  • Total: 3,665
  • Supplement: 195
  • BibTeX: 109
  • EndNote: 169
Views and downloads (calculated since 28 Nov 2022)
Cumulative views and downloads (calculated since 28 Nov 2022)

Viewed (geographical distribution)

Total article views: 3,665 (including HTML, PDF, and XML) Thereof 3,602 with geography defined and 63 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 30 Apr 2026
Download
Short summary
The CH2O-CHOO TRAIN model can simulate how climate and the long-term carbon cycle interact across millions of years on a standard PC. While efficient, the model accounts for many factors including the location of land masses, the spatial pattern of the water cycle, and fundamental climate feedbacks. The model is a powerful tool for investigating how short-term climate processes can affect long-term changes in the Earth system.
Read more
Share