Gridded National Inventory of US Methane Emissions

被引:158
|
作者
Maasakkers, Joannes D. [1 ]
Jacob, Daniel J. [1 ]
Sulprizio, Melissa P. [1 ]
Turner, Alexander J. [1 ]
Weitz, Melissa [2 ]
Wirth, Tom [2 ]
Hight, Cate [2 ]
DeFigueiredo, Mark [2 ]
Desai, Mausami [2 ]
Schmeltz, Rachel [2 ]
Hockstad, Leif [2 ]
Bloom, Anthony A. [3 ]
Bowman, Kevin W. [3 ]
Jeong, Seongeun [4 ]
Fischer, Marc L. [4 ]
机构
[1] Harvard Univ, Sch Engn & Appl Sci, Pierce Hall,29 Oxford St, Cambridge, MA 02138 USA
[2] US EPA, Climate Change Div, Washington, DC 20460 USA
[3] CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 USA
[4] Lawrence Berkeley Natl Lab, Energy Technol Area, Berkeley, CA 94720 USA
关键词
HIGH-SPATIAL-RESOLUTION; GAS; RETRIEVALS; SYSTEM; FLUXES; STATE; GOSAT; OIL;
D O I
10.1021/acs.est.6b02878
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We present a gridded inventory of US anthropogenic methane emissions with 0.1 degrees X 0.1 degrees spatial resolution, monthly temporal resolution, and detailed scale-dependent error characterization. The inventory is designed to be consistent with the 2016 US Environmental Protection Agency (EPA) Inventory of US Greenhouse Gas Emissions and Sinks (GHGI) for 2012 The EPA inventory is available only as national totals for different source types. We use a wide range of databases at the state, county, local, and point source level to disaggregate the inventory and allocate the spatial and temporal distribution of emissions for individual source types. Results show large differences with the EDGAR v4.2 global gridded inventory commonly used as a priori estimate in inversions of atmospheric methane observations. We derive grid-dependent error statistics for individual source types from comparison with the Environmental Defense Fund (EDF) regional inventory for Northeast Texas. These error statistics are independently verified by comparison with the California Greenhouse Gas Emissions Measurement (CALGEM) grid-resolved emission inventory. Our gridded, time-resolved inventory provides an improved basis for inversion of atmospheric methane observations to estimate US methane emissions and interpret the results in terms of the underlying processes.
引用
收藏
页码:13123 / 13133
页数:11
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