Biogeosciences
Biogeosciences
BG
Articles | Volume 14, issue 1
Articles | Volume 14, issue 1
https://doi.org/10.5194/bg-14-163-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-163-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 14, issue 1
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

Viewed

Total article views: 3,339 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,916 1,281 142 3,339 308 160 206
  • HTML: 1,916
  • PDF: 1,281
  • XML: 142
  • Total: 3,339
  • Supplement: 308
  • BibTeX: 160
  • EndNote: 206
Views and downloads (calculated since 27 Jul 2016)
Cumulative views and downloads (calculated since 27 Jul 2016)
Latest update: 07 Feb 2026
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint