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.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on bg-2021-316', Anonymous Referee #1, 21 Jan 2022
    • AC2: 'Reply on RC1', Shuang Ma, 11 Mar 2022
    • AC3: 'References used in replies to reviewers' comments', Shuang Ma, 11 Mar 2022
  • RC2: 'Review of "Evaluating alternative ebullition models for predicting peatland methane emission and its pathways via data-model fusion" by Ma et al.', Anonymous Referee #2, 09 Feb 2022
    • AC1: 'Reply on RC2', Shuang Ma, 10 Mar 2022
    • AC4: 'References used in replies to reviewers' comments', Shuang Ma, 11 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (16 Mar 2022) by Akihiko Ito
AR by Shuang Ma on behalf of the Authors (17 Mar 2022)  Author's response    Manuscript
ED: Publish as is (28 Mar 2022) by Akihiko Ito
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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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