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

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

doi:https://doi.org/10.5194/gmd-18-8157-2025

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

Supplement

https://doi.org/10.5194/gmd-18-8157-2025-supplement

Data sets

AmeriFlux BASE US-Myb Mayberry Wetland J. H. Matthes et al. https://doi.org/10.17190/AMF/1246139

AmeriFlux BASE US-Tw1 Twitchell Wetland West Pond A. Valach et al. https://doi.org/10.17190/AMF/1246147

AmeriFlux BASE US-Tw4 Twitchell East End Wetland E. Eichelmann et al. https://doi.org/10.17190/AMF/1246151

Model code and software

Regional Carbon Climate Analytics Tool (RCCAT) A. Brereton https://doi.org/10.5281/zenodo.14933820

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.