2022
DOI: 10.5194/acp-22-10809-2022
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Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations

Abstract: Abstract. We quantify methane emissions in China and the contributions from different sectors by inverse analysis of 2019 TROPOMI satellite observations of atmospheric methane. The inversion uses as a prior estimate the latest 2014 national sector-resolved anthropogenic emission inventory reported by the Chinese government to the United Nations Framework Convention on Climate Change (UNFCCC) and thus serves as a direct evaluation of that inventory. Emissions are optimized with a Gaussian mixture model (GMM) at… Show more

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Cited by 44 publications
(56 citation statements)
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“…For the transmission and distribution phase, emissions can be measured directly at the component level [18]. According to final calculation results, the proportion of methane emissions by phase in China, the United States and Canada are different: the United States and Canada have the largest proportion of methane emissions in the production phase [23,24], while China has the highest proportion in the distribution phase [25]. Emissions quantification methods for each phase are summarized in Figure 1.…”
Section: Conceptual Frameworkmentioning
confidence: 99%
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“…For the transmission and distribution phase, emissions can be measured directly at the component level [18]. According to final calculation results, the proportion of methane emissions by phase in China, the United States and Canada are different: the United States and Canada have the largest proportion of methane emissions in the production phase [23,24], while China has the highest proportion in the distribution phase [25]. Emissions quantification methods for each phase are summarized in Figure 1.…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…Figure 1 contains a detailed comparison of emissions from different phases of natural gas systems in China, the United States and Canada in recent years. These data are obtained by high-resolution inversion using atmospheric methane observations [25,34], and the standard deviation and uncertainty range of the results are in brackets. Although this improves the estimation of methane emissions to some extent, this method is vulnerable to the accuracy of emissions inventory data [34].…”
Section: International Comparisonmentioning
confidence: 99%
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