Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 13
Articles | Volume 17, issue 13
https://doi.org/10.5194/gmd-17-5413-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-5413-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 13
Development and technical paper
 | 
16 Jul 2024
Development and technical paper |  | 16 Jul 2024

Using deep learning to integrate paleoclimate and global biogeochemistry over the Phanerozoic Eon

Dongyu Zheng, Andrew S. Merdith, Yves Goddéris, Yannick Donnadieu, Khushboo Gurung, and Benjamin J. W. Mills

Viewed

Total article views: 623 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
458 127 38 623 30 31
  • HTML: 458
  • PDF: 127
  • XML: 38
  • Total: 623
  • BibTeX: 30
  • EndNote: 31
Views and downloads (calculated since 02 Feb 2024)
Cumulative views and downloads (calculated since 02 Feb 2024)

Viewed (geographical distribution)

Total article views: 623 (including HTML, PDF, and XML) Thereof 616 with geography defined and 7 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Jul 2024
Download
Short summary
This study uses a deep learning method to upscale the time resolution of paleoclimate simulations to 1 million years. This improved resolution allows a climate-biogeochemical model to more accurately predict climate shifts. The method may be critical in developing new fully continuous methods that are able to be applied over a moving continental surface in deep time with high resolution at reasonable computational expense.
Read more