Articles | Volume 14, issue 1
https://doi.org/10.5194/bg-14-163-2017
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, Wenjuan Sun, and Tingting Li

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

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
Download
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.
Altmetrics
Final-revised paper
Preprint