Estimating global and North American methane emissions with high spatial resolution using GOSAT satellite data

摘要: Abstract. We use 2009–2011 space-borne methane observations from the Greenhouse Gases Observing SATellite (GOSAT) to estimate global and North American emissions with 4° × 5° up 50 km spatial resolution, respectively. GEOS-Chem GOSAT data are first evaluated atmospheric surface tower networks (NOAA/ESRL, TCCON) aircraft HIPPO), using chemical transport model as a platform facilitate comparison of in situ data. This identifies high-latitude bias between that we correct via quadratic regression. Our adjoint-based inversion yields total source 539 Tg a−1 some important regional corrections EDGARv4.2 inventory used prior. Results serve dynamic boundary conditions for an analytical radial basis functions achieve high resolution large sources provide error characterization. infer US anthropogenic 40.2–42.7 a−1, compared 24.9–27.0 EDGAR EPA bottom-up inventories, 30.0–44.5 recent inverse studies. is supported by independent previous studies California. find highest southern–central US, Central Valley California, Florida wetlands; isolated point such Four Corners also contribute. Using prior information on locations, attribute 29–44 % livestock, 22–31 oil/gas, 20 landfills/wastewater, 11–15 coal. Wetlands contribute additional 9.0–10.1 a−1.