Satellite-based modeling of wetland methane emissions on a global scale (SatWetCH4 1.0)

Bernard, Juliette; Salmon, Elodie; Saunois, Marielle; Peng, Shushi; Serrano-Ortiz, Penélope; Berchet, Antoine; Gnanamoorthy, Palingamoorthy; Jansen, Joachim; Ciais, Philippe

doi:https://doi.org/10.5194/gmd-18-863-2025

Articles | Volume 18, issue 3

https://doi.org/10.5194/gmd-18-863-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-863-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 3

Model description paper

|

14 Feb 2025

Model description paper |

| 14 Feb 2025

Satellite-based modeling of wetland methane emissions on a global scale (SatWetCH4 1.0)

Juliette Bernard, Elodie Salmon, Marielle Saunois, Shushi Peng, Penélope Serrano-Ortiz, Antoine Berchet, Palingamoorthy Gnanamoorthy, Joachim Jansen, and Philippe Ciais

Supplement

https://doi.org/10.5194/gmd-18-863-2025-supplement

Data sets

Development of a global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) Z. Zhang et al. https://doi.org/10.5281/zenodo.5553187

MODIS/Terra Gross Primary Productivity Gap-Filled 8-Day L4 Global 500m SIN Grid V061 S. Running and M. Zhao https://doi.org/10.5067/MODIS/MOD17A2HGF.061

ERA5-Land monthly averaged data from 1950 to present J. Muñoz Sabater https://doi.org/10.24381/cds.68d2bb30

Dynamics of global wetlands by TOPMODEL Y. Xi et al. https://doi.org/10.5281/zenodo.6409309

Model code and software

Satellite-based modeling of wetland methane emissions on a global scale (SatWetCH4) J. Bernard https://doi.org/10.5281/zenodo.11204999

Short summary

Despite their importance, uncertainties remain in the evaluation of the drivers of temporal variability of methane emissions from wetlands on a global scale. Here, a simplified global model is developed, taking advantage of advances in remote-sensing data and in situ observations. The model reproduces the large spatial and temporal patterns of emissions, albeit with limitations in the tropics due to data scarcity. This model, while simple, can provide valuable insights into sensitivity analyses.