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.
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.
the Creative Commons Attribution 3.0 License.
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
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, China
Wenjuan Sun
CORRESPONDING AUTHOR
LVEC, Institute of Botany, Chinese Academy of Sciences, Beijing, China
Tingting Li
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, China
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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.
Regional estimated uncertainties originate from methodological failures, errors, and supporting...
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