Japan Geoscience Union Meeting 2023

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General

[A-CG35] Global Carbon Cycle Observation and Analysis

Thu. May 25, 2023 10:45 AM - 12:15 PM 104 (International Conference Hall, Makuhari Messe)

convener:Kazuhito Ichii(Chiba University), Prabir Patra(Research Institute for Global Change, JAMSTEC), Akihiko Ito(National Institute for Environmental Studies), Chairperson:Kazuhito Ichii(Chiba University)

10:45 AM - 11:00 AM

[ACG35-06] Estimate of country-scale methane emissions in Asia by GOSAT and surface atmospheric observations

*Fenjuan Wang1, Shamil S Maksyutov1, Rajesh Janardanan1, Aki Tsuruta2, Akihiko Ito1, Isamu Morino1, Yukio Yoshida1, Yasunori Tohjima1, Johannes W. Kaiser3, Xin Lan4,5, Ivan Mammarella6, Jost V. Lavric7,8, Tsuneo Matsunaga1 (1.NIES National Institute of Environmental Studies, 2.Finnish Meteorological Institute, Finland, 3.Deutscher Wetterdienst, Germany , 4.Cooperative Institute for Research in Environmental Sciences, University of Colorado, USA , 5.National Oceanic and Atmospheric Administration, USA , 6.University of Helsinki, Finland , 7.Max Planck Institute for Biogeochemistry, Germany, 8.now at Acoem, Australia)

Keywords:methane emission, GOSAT satellite , high-resolution inverse model

We present the top-down estimates of methane (CH4) emissions in Asia countries from 2009 to 2018 and their trend in two five-yearly periods (Wang et al., 2021, ERL). It is the first comprehensive top-down estimate of CH4 emissions in Asia at a country scale, which serves as an independent evaluation for the global stocktake under the Paris Agreement in 2023. We used the high-resolution global inverse model NIES-TM-FLEXPART-VAR and atmospheric observations from surface observation network and GOSAT satellite to deduce country-scale emissions. There are 13 countries that emit more than 1 Tg y-1, together emitting more than 97% of the total CH4 emissions in Asia. Anthropogenic emissions are dominant in most of these countries except Bangladesh and Cambodia. We also analyzed two five-year CH4 emission budgets for the three subregions East Asia (EA), Southeast Asia (SEA), South Asia (SA), and the 13 top emitting countries. In the first and second five-yearly periods, the mean posterior emissions in EA are both lower than the mean prior emissions. The mean posterior emissions in SEA and SA are higher than the mean prior emissions during 2009-2013, but lower during 2014-2018. The mean posterior emission in SA decreases from the first five-yearly period to the second five-yearly period. The optimized total emissions in China, Japan, and South Korea show more significant increases than the prior estimates. The optimized total emissions in other countries show less increase compared to the prior estimates, in which India, Pakistan, Thailand, Bangladesh, and Myanmar obtain higher optimized emissions during the first five-yearly period compared to the prior emissions. We also found that climate variability may have a distinct influence on the interannual variability in the CH4 flux in different regions of Asia and suggest that more detailed drivers should be accounted for more precise country emission evaluation in the global stocktake.