Articles | Volume 14, issue 1
Biogeosciences, 14, 163–176, 2017
https://doi.org/10.5194/bg-14-163-2017
Biogeosciences, 14, 163–176, 2017
https://doi.org/10.5194/bg-14-163-2017

Research article 12 Jan 2017

Research article | 12 Jan 2017

Uncertainties in the national inventory of methane emissions from rice cultivation: field measurements and modeling approaches

Wen Zhang et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (Editor review) (06 Dec 2016) by Peter van Bodegom
AR by Wenjuan Sun on behalf of the Authors (08 Dec 2016)  Author's response    Manuscript
ED: Publish as is (16 Dec 2016) by Peter van Bodegom
AR by Wenjuan Sun on behalf of the Authors (20 Dec 2016)  Author's response    Manuscript
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Short summary
Regional estimated uncertainties originate from methodological failures, errors, and supporting data insufficiency. A case study showed that the fallacy of the CH4MOD contributed 56.6 % to the uncertainty of a national inventory, with the remaining 43.4 % attributed to the scarcity of model inputs. We also revealed a dilemma between model performance and data availability: a model with better performance may reduce uncertainty from model fallacy but increases the uncertainty from data scarcity.
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