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DOI10.5194/acp-22-15351-2022
Estimating emissions of methane consistent with atmospneric measurements of methane and delta C-13 of methane
Basu, Sourish; Lan, Xin; Dlugokencky, Edward; Michel, Sylvia; Schwietzke, Stefan; Miller, John B.; Bruhwiler, Lori; Oh, Youmi; Tans, Pieter P.; Apadula, Francesco; Gatti, Luciana V.; Jordan, Armin; Necki, Jaroslaw; Sasakawa, Motoki; Morimoto, Shinji; Di Iorio, Tatiana; Lee, Haeyoung; Arduini, Jgor; Manca, Giovanni
发表日期2022
ISSN1680-7316
EISSN1680-7324
起始页码15351
结束页码15377
卷号22期号:23页码:27
英文摘要We have constructed an atmospheric inversion framework based on TM5-4DVAR to jointly assimilate measurements of methane and delta C-13 of methane in order to estimate source-specific methane emissions. Here we present global emission estimates from this framework for the period 1999-2016. We assimilate a newly constructed, multi-agency database of CH4 and delta C-13 measurements. We find that traditional CH4-only atmospheric inversions are unlikely to estimate emissions consistent with atmospheric delta C-13 data, and assimilating delta C-13 data is necessary to derive emissions consistent with both measurements. Our framework attributes ca. 85 % of the post-2007 growth in atmospheric methane to microbial sources, with about half of that coming from the tropics between 23.5 degrees N and 23.5 degrees S. This contradicts the attribution of the recent growth in the methane budget of the Global Carbon Project (GCP). We find that the GCP attribution is only consistent with our top-down estimate in the absence of delta C-13 data. We find that at global and continental scales, delta C-13 data can separate microbial from fossil methane emissions much better than CH4 data alone, and at smaller scales this ability is limited by the current delta C-13 measurement coverage. Finally, we find that the largest uncertainty in using delta C-13 data to separate different methane source types comes from our knowledge of atmospheric chemistry, specifically the distribution of tropospheric chlorine and the isotopic discrimination of the methane sink.
学科领域Environmental Sciences; Meteorology & Atmospheric Sciences
语种英语
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号WOS:000895454000001
来源期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/273139
作者单位National Aeronautics & Space Administration (NASA); NASA Goddard Space Flight Center; University System of Maryland; University of Maryland College Park; University of Colorado System; University of Colorado Boulder; National Oceanic Atmospheric Admin (NOAA) - USA; University of Colorado System; University of Colorado Boulder; Environmental Defense Fund; Instituto Nacional de Pesquisas Espaciais (INPE); Max Planck Society; AGH University of Science & Technology; National Institute for Environmental Studies - Japan; Tohoku University; Italian National Agency New Technical Energy & Sustainable Economics Development; National Institute of Meteorological Sciences; University of Urbino; European Commission Joint Research Centre; EC JRC ISPRA Site
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Basu, Sourish,Lan, Xin,Dlugokencky, Edward,et al. Estimating emissions of methane consistent with atmospneric measurements of methane and delta C-13 of methane[J],2022,22(23):27.
APA Basu, Sourish.,Lan, Xin.,Dlugokencky, Edward.,Michel, Sylvia.,Schwietzke, Stefan.,...&Manca, Giovanni.(2022).Estimating emissions of methane consistent with atmospneric measurements of methane and delta C-13 of methane.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(23),27.
MLA Basu, Sourish,et al."Estimating emissions of methane consistent with atmospneric measurements of methane and delta C-13 of methane".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.23(2022):27.
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