Forward Modeling and Optimization of Methane Emissions in the South Central United States Using Aircraft Transects Across Frontal Boundaries

Barkley, Z. R.; Davis, K. J.; Feng, S.; Balashov, N.; Fried, A.; DiGangi, J.; Choi, Y.; Halliday, H. S.

doi:10.1029/2019gl084495

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Forward Modeling and Optimization of Methane Emissions in the South Central United States Using Aircraft Transects Across Frontal Boundaries

2019
By Barkley, Z. R. ; Davis, K. J. ; Feng, S. ; ...
Source: Geophysical Research Letters, 46(22), 13564-13573

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Journal Title:

Geophysical Research Letters
Personal Author:

Barkley, Z. R. ; Davis, K. J. ; Feng, S. ; Balashov, N. ; Fried, A. ; ... More +

Barkley, Z. R. ; Davis, K. J. ; Feng, S. ; Balashov, N. ; Fried, A. ; DiGangi, J. ; Choi, Y. ; Halliday, H. S. Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; NCEI (National Centers for Environmental Information)

NESDIS (National Environmental Satellite, Data, and Information Service) ; NCEI (National Centers for Environmental Information) Less -
Description:

The South Central United States is a hot spot for anthropogenic methane (CH4) emissions, with contributions from the oil/gas (O&G) and animal agriculture sectors. During frontal weather events, airflow combines enhancements from these emissions into a large plume. In this study, we take CH4and ethane (C2H6) observations from the Atmospheric Carbon and Transport-America campaign and adjust O&G and animal agriculture emissions such that modeled CH4and C2H6enhancements match the observed plume. Results from the joint CH4-C2H6optimization indicate that emissions from the O&G sector are 1.8 ±0.7 (2) times larger than EPA inventory estimates. These results match synthesis work
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General Earth And Planetary Sciences Geophysics
Source:

Geophysical Research Letters, 46(22), 13564-13573
DOI:

https://doi.org/10.1029/2019gl084495
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0094-8276;1944-8007;
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PDF
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American Geophysical Union (AGU)
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Journal Article
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urn:sha256:17eeb1b5cb50156321cf0019893d153bdc597e842208f9e86418bcd3c82856a7
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