Quantifying sources of Brazil's CH<sub>4</sub> emissions between 2010 and 2018 from satellite data

doi:10.5194/acp-2020-438

GSTDTAP > 地球科学

DOI	10.5194/acp-2020-438
	Quantifying sources of Brazil's CH₄ emissions between 2010 and 2018 from satellite data
	Rachel L. Tunnicliffe, Anita L. Ganesan, Robert J. Parker, Hartmut Boesch, Nicola Gedney, Benjamin Poulter, Zhen Zhang, Jošt V. Lavrič, David Walter, Matthew Rigby, Stephan Henne, Dickon Young, and Simon O'Doherty
	2020-06-16
发表期刊	Atmospheric Chemistry and Physics
出版年	2020
英文摘要	Brazil's CH₄ emissions over the period 2010–2018 were derived for the three main sectors of activity: anthropogenic, wetland and biomass burning. Our inverse modelling estimates were derived from GOSAT satellite measurements of XCH₄ combined with surface data from Ragged Point, Barbados and the high-resolution regional atmospheric transport model NAME. We find that Brazil's mean emissions over 2010–2018 are 33.6 ± 3.6 Tg/yr, which are comprised of 19.0 ± 2.6 Tg/yr from anthropogenic (primarily related to agriculture and waste), 13.0 ± 1.9 Tg/yr from wetlands and 1.7 ± 0.3 Tg/yr from biomass burning sources. In addition, between the 2011–2013 and 2014–2018 periods, Brazil's mean emissions rose by 6.9 ± 5.3 Tg/yr and this increase may have contributed to the accelerated global methane growth rate observed during the latter period. We find that wetland emissions from the Western Amazon increased during the start of the 2015–16 El Nino by 3.7 ± 2.7 Tg/yr and this is likely driven by increased surface temperatures. We also find that our estimates of anthropogenic emissions are consistent with those reported by Brazil to the United Framework Convention on Climate Change. We show that satellite data is beneficial for constraining national-scale CH₄ emissions, and, through a series of sensitivity studies and validation experiments using data not assimilated in the inversion, we demonstrate that calibrated ground-based data are important to include alongside satellite data in a regional inversion, and that inversions must account for any offsets between the two data streams and their representations by models.
领域	地球科学
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文献类型	期刊论文
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/276557
专题	地球科学
推荐引用方式 GB/T 7714	Rachel L. Tunnicliffe, Anita L. Ganesan, Robert J. Parker, Hartmut Boesch, Nicola Gedney, Benjamin Poulter, Zhen Zhang, Jošt V. Lavrič, David Walter, Matthew Rigby, Stephan Henne, Dickon Young, and Simon O'Doherty. Quantifying sources of Brazil's CH₄ emissions between 2010 and 2018 from satellite data[J]. Atmospheric Chemistry and Physics,2020.
APA	Rachel L. Tunnicliffe, Anita L. Ganesan, Robert J. Parker, Hartmut Boesch, Nicola Gedney, Benjamin Poulter, Zhen Zhang, Jošt V. Lavrič, David Walter, Matthew Rigby, Stephan Henne, Dickon Young, and Simon O'Doherty.(2020).Quantifying sources of Brazil's CH₄ emissions between 2010 and 2018 from satellite data.Atmospheric Chemistry and Physics.
MLA	Rachel L. Tunnicliffe, Anita L. Ganesan, Robert J. Parker, Hartmut Boesch, Nicola Gedney, Benjamin Poulter, Zhen Zhang, Jošt V. Lavrič, David Walter, Matthew Rigby, Stephan Henne, Dickon Young, and Simon O'Doherty."Quantifying sources of Brazil's CH₄ emissions between 2010 and 2018 from satellite data".Atmospheric Chemistry and Physics (2020).