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Interannual variability on methane emissions in monsoon Asia derived from Gosat and surface observations

Bibliographic Data

ID15545294
AuthorsFenjuan Wang (0000-0003-3417-6170, National Institute for Environmental Studies, corresponding author), Shamil Maksyutov (0000-0002-1200-9577, National Institute for Environmental Studies), Rajesh Janardanan (0000-0003-1579-7529, National Institute for Environmental Studies), Aki Tsuruta (0000-0002-9197-3005, Finnish Meteorological Institute), Akihiko Ito (0000-0001-5265-0791, National Institute for Environmental Studies), Isamu Morino (0000-0003-2720-1569, National Institute for Environmental Studies), Yukio Yoshida (0000-0002-3515-1488, National Institute for Environmental Studies), Yasunori Tohjima (0000-0003-2153-6376, National Institute for Environmental Studies), Johannes W Kaiser (0000-0003-3696-9123, Deutscher Wetterdienst), Greet Janssens-Maenhout, Greet Janssens‐Maenhout (0000-0002-9335-0709, Joint Research Centre), Xin Lan (0000-0002-0330-8081, National Oceanic and Atmospheric Administration), Ivan Mammarella (0000-0002-8516-3356, University of Helsinki), Jošt V Lavrič (0000-0003-3610-9078, Max Planck Institute for Biogeochemistry), Tsuneo Matsunaga (0000-0002-3380-5230, National Institute for Environmental Studies)
Year2020
Volume16
Issue2
Pages024040-024040
Publication date2020-12-14
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/abd352
OpenAlexW3113116029
LanguageEN
Citations received2
References cited68

In Asia, much effort is put into reducing methane (CH 4 ) emissions due to the region’s contribution to the recent rapid global atmospheric CH 4 concentration growth. Accurate quantification of Asia’s CH 4 budgets is critical for conducting global stocktake and achieving the long-term temperature goal of the Paris Agreement. In this study, we present top-down estimates of CH 4 emissions from 2009 to 2018 deduced from atmospheric observations from surface network and GOSAT satellite with the high-resolution global inverse model NIES-TM-FLEXPART-VAR. The optimized average CH 4 budgets are 63.40 ± 10.52 Tg y −1 from East Asia (EA), 45.20 ± 6.22 Tg y −1 from Southeast Asia (SEA), and 64.35 ± 9.28 Tg y −1 from South Asia (SA) within the 10 years. We analyzed two 5 years CH 4 emission budgets for three subregions and 13 top-emitting countries with an emission budget larger than 1 Tg y −1 , and interannual variabilities for these subregions. Statistically significant increasing trends in emissions are found in EA with a lower emission growth rate during 2014–2018 compared to that during 2009–2013, while trends in SEA are not significant. In contrast to the prior emission, the posterior emission shows a significant decreasing trend in SA. The flux decrease is associated with the transition from strong La Ninña (2010–2011) to strong El Ninño (2015–2016) events, which modulate the surface air temperature and rainfall patterns. The interannual variability in CH 4 flux anomalies was larger in SA compared to EA and SEA. The Southern Oscillation Index correlates strongly with interannual CH 4 flux anomalies for SA. Our findings suggest that the interannual variability in the total CH 4 flux is dominated by climate variability in SA. The contribution of climate variability driving interannual variability in natural and anthropogenic CH 4 emissions should be further quantified, especially for tropical countries. Accounting for climate variability may be necessary to improve anthropogenic emission inventories

Atmospheric sciences · Chemical transport model · China · Climatology · East Asia · Flux (metallurgy · Geography · Methane · Monsoon · Physics · Satellite · Sea surface temperature · Troposphere · Atmospheric and Environmental Gas Dynamics · Atmospheric chemistry and aerosols · Atmospheric Ozone and Climate · Chemistry · Environmental Science · Geology

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    Open Access•Rajesh Janardanan, Shamil Maksyutov et al.•Environmental Research Letters•2024

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Unique citing works2
Citations per year0,4
Citation span2021 - 2024 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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