Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 21
Articles | Volume 18, issue 21
https://doi.org/10.5194/gmd-18-8157-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-8157-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 21
Development and technical paper
 | 
05 Nov 2025
Development and technical paper |  | 05 Nov 2025

Development of a model framework for terrestrial carbon flux prediction: the Regional Carbon and Climate Analytics Tool (RCCAT) applied to non-tidal wetlands

Ashley Brereton, Zelalem A. Mekonnen, Bhavna Arora, William J. Riley, Kunxiaojia Yuan, Yi Xu, Yu Zhang, Qing Zhu, Tyler L. Anthony, and Adina Paytan

Viewed

Total article views: 7,677 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
6,783 705 189 7,677 291 206 246
  • HTML: 6,783
  • PDF: 705
  • XML: 189
  • Total: 7,677
  • Supplement: 291
  • BibTeX: 206
  • EndNote: 246
Views and downloads (calculated since 01 Apr 2025)
Cumulative views and downloads (calculated since 01 Apr 2025)

Viewed (geographical distribution)

Total article views: 7,677 (including HTML, PDF, and XML) Thereof 7,669 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 08 Jun 2026
Download
Short summary
Wetlands absorb carbon dioxide (CO2), helping slow climate change, but they also release methane, a potent warming gas. We developed a collection of AI-based models to estimate magnitudes of CO2 and methane exchanged between the land and the atmosphere, for wetlands on a regional scale. This approach helps to inform land-use planning, restoration, and greenhouse gas accounting, while also creating a foundation for future advancements in prediction accuracy.
Read more
Share