Articles | Volume 19, issue 8
Biogeosciences, 19, 2245–2262, 2022
https://doi.org/10.5194/bg-19-2245-2022
Biogeosciences, 19, 2245–2262, 2022
https://doi.org/10.5194/bg-19-2245-2022
Research article
27 Apr 2022
Research article | 27 Apr 2022

Evaluating alternative ebullition models for predicting peatland methane emission and its pathways via data–model fusion

Shuang Ma et al.

Data sets

Data sets for Evaluating alternative ebullition models for predicting peatland methane emission and its pathways via data-model fusion S. Ma, L. Jiang, R. M. Wilson, J. P. Chanton, S. Bridgham, S. Niu, C. M. Iversen, A. Malhotra, J. Jiang, X. Lu, Y. Huang, J. Keller, X. Xu, D. M. Ricciuto, P. J. Hanson, and Y. Luo https://doi.org/10.5281/zenodo.5722449

Model code and software

Model code for Evaluating alternative ebullition models for predicting peatland methane emission and its pathways via data-model fusion S. Ma, L. Jiang, R. M. Wilson, J. P. Chanton, S. Bridgham, S. Niu, C. M. Iversen, A. Malhotra, J. Jiang, X. Lu, Y. Huang, J. Keller, X. Xu, D. M. Ricciuto, P. J. Hanson, and Y. Luo https://doi.org/10.5281/zenodo.5722449

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Short summary
The relative ratio of wetland methane (CH4) emission pathways determines how much CH4 is oxidized before leaving the soil. We found an ebullition modeling approach that has a better performance in deep layer pore water CH4 concentration. We suggest using this approach in land surface models to accurately represent CH4 emission dynamics and response to climate change. Our results also highlight that both CH4 flux and belowground concentration data are important to constrain model parameters.
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