JpGU-AGU Joint Meeting 2020

Presentation information

[E] Poster

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

[A-CG47] Global Carbon Cycle Observation and Analysis

convener:Kazuhito Ichii(Chiba University), Prabir Patra(Research Institute for Global Change, JAMSTEC), Forrest M. Hoffman(Oak Ridge National Laboratory), Makoto Saito(National Institute of Environmental Studies)

[ACG47-P04] INVERSION ESTIMATES OF METHANE EMISSION IN EAST, SOUTH AND SOUTHEAST ASIA IN 2010-2017 USING GOSAT AND GROUND-BASED OBSERVATIONS

*Fenjuan Wang1,2, Shamil S Maksyutov1, Rajesh Janardanan1, Aki Tsuruta3, Akihiko Ito1, Isamu Morino1, Yukio Yoshida1, Johannes W. Kaiser4, Greet Janssens Maenhout5, Ed Dlugokencky6, Ivan Mammarella7, Jost V. Lavric8, Tsuneo Matsunaga1 (1.NIES National Institute of Environmental Studies, 2.Department of Climate Change, National Climate Center, 3.Finnish Meteorological Institute, 4.Deutscher Wetterdienst, 5.European Commission Joint Research Centre, 6.Earth System Research Laboratory, NOAA, 7.University of Helsinki, 8.Max Planck Institute for Biogeochemistry)

Keywords:GOSAT, anthropogenic and natural methane emissions, East, South and Southeast Asia

Greenhouse gas Observing SATellite (GOSAT) detected significant enhancements of column-averaged dry-air mole fraction of methane (XCH4) in East, South and Southeast Asia in the course of its operation since 2009. The attribution and evaluation of these enhancements will benefit the national mitigation efforts for methane in this area. We compared national inventories submitted to the United Nations Framework Convention on Climate Change (UNFCCC) to top-down emissions estimated at country scale by the global high-resolution (0.1° × 0.1°) inverse model NIES-TM-FLEXPART-VAR (NTFVAR). Long-term GOSAT retrievals and ground-based observations were used in the inversion for the year 2010-2017. Prior fluxes contained adjusted EDGAR v4.3.2 emissions scaled to match the country totals by national reports to theUNFCCC, augmented by biomass burning emissions from the Global Fire Assimilation System (GFASv1.2) and wetland emissions from the Vegetation Integrative Simulator for Trace Gases (VISIT) model. The estimated regional total methane emissions is 163.5 Tg CH4 yr−1(with an uncertainty of 24.3Tg CH4 yr−1) from twenty-eight countries included in this study, and 94% are from the top ten emitting-countries China (52.2Tg CH4yr−1), India (36.7Tg CH4 yr−1), Indonesia (20.3Tg CH4 yr−1), Bangladesh (11.3Tg CH4 yr−1), Pakistan (7.9Tg CH4 yr−1), Vietnam (6.9Tg CH4 yr−1), Thailand (6.6Tg CH4 yr−1), Burma (6.3Tg CH4 yr−1), Philippines (2.9Tg CH4 yr−1) and Cambodia (2.6Tg CH4 yr−1). Among these ten countries, natural methane emissions are dominant in Bangladesh and Cambodia, and anthropogenic emissions are dominant in other counties. Statistically significant increasing trends in anthropogenic emissions are detected in China and Indonesia from 2010 to 2017. Optimized high-resolution anthropogenic fluxes show intensive anthropogenic fluxes in megacity clusters like in eastern China, northern India, western Pakistan and southern Indonesia (Figure 1.Posterior anthropogenic methane fluxes (2010–2017 average, unit: mg CH4m-2day-1) ).