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Mapping of North American methane emissions with high spatial resolution by inversion of SCIAMACHY satellite data

Wecht, Kevin J. and Jacob, Daniel J. and Frankenberg, Christian and Jiang, Zhe and Blake, Donald R. (2014) Mapping of North American methane emissions with high spatial resolution by inversion of SCIAMACHY satellite data. Journal of Geophysical Research. Atmospheres, 119 (12). pp. 7741-7756. ISSN 2169-897X.

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We estimate methane emissions from North America with high spatial resolution by inversion of Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) satellite observations using the Goddard Earth Observing System Chemistry (GEOS‐Chem) chemical transport model and its adjoint. The inversion focuses on summer 2004 when data from the Intercontinental Chemical Transport Experiment‐North America (INTEX‐A) aircraft campaign over the eastern U.S. are available to validate the SCIAMACHY retrievals and evaluate the inversion. From the INTEX‐A data we identify and correct a water vapor‐dependent bias in the SCIAMACHY data. We conduct an initial inversion of emissions on the horizontal grid of GEOS‐Chem (1/2° × 2/3°) to identify correction tendencies relative to the Emission Database for Global Atmospheric Research (EDGAR) v4.2 emission inventory used as a priori. We then cluster these grid cells with a hierarchical algorithm to extract the maximum information from the SCIAMACHY observations. A 1000 cluster ensemble can be adequately constrained, providing ~100 km resolution across North America. Analysis of results indicates that the Hudson Bay Lowland wetlands source is 2.1 Tg a^(−1), lower than the a priori but consistent with other recent estimates. Anthropogenic U.S. emissions are 30.1 ± 1.3 Tg a^(−1), compared to 25.8 Tg a^(−1) and 28.3 Tg a^(−1) in the EDGAR v4.2 and Environmental Protection Agency (EPA) inventories, respectively. We find that U.S. livestock emissions are 40% greater than in these two inventories. No such discrepancy is apparent for overall U.S. oil and gas emissions, although this may reflect some compensation between overestimate of emissions from storage/distribution and underestimate from production. We find that U.S. livestock emissions are 70% greater than the oil and gas emissions, in contrast to the EDGAR v4.2 and EPA inventories where these two sources are of comparable magnitude.

Item Type:Article
Related URLs:
URLURL TypeDescription
Jacob, Daniel J.0000-0002-6373-3100
Frankenberg, Christian0000-0002-0546-5857
Jiang, Zhe0000-0002-0086-7486
Additional Information:©2014. The Authors. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. Received 27 JAN 2014. Accepted 6 MAY 2014. Accepted article online 9 MAY 2014. Published online 26 JUN 2014. This work was supported by the NASA Carbon Monitoring System (CMS), the NASA Atmospheric Composition Modeling and Analysis Program (ACMAP), and by a NASA Earth System Science Fellowship to K.J.W. We thank Tom Wirth (U.S. EPA) for providing information on seasonality in the EPA emission inventory. The INTEX‐A data are available through NASA's LaRC Airborne Science Data for Atmospheric Composition: ftp://ftp‐ The SCIAMACHY data are available upon request through the SCIAMACHY website: Instructions for downloading and running the GEOS‐Chem CTM are available at http://geos‐ and for the GEOS‐Chem adjoint at‐chem/index.php/GEOS‐Chem_Adjoint.
Funding AgencyGrant Number
NASA Earth System Science FellowshipUNSPECIFIED
Subject Keywords:methane; inversion; emissions; satellite
Issue or Number:12
Record Number:CaltechAUTHORS:20181127-155643512
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Official Citation:Wecht, K. J., D. J. Jacob, C. Frankenberg, Z. Jiang, and D. R. Blake (2014), Mapping of North American methane emissions with high spatial resolution by inversion of SCIAMACHY satellite data, J. Geophys. Res. Atmos., 119, 7741–7756, doi: 10.1002/2014JD021551.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:91253
Deposited By: George Porter
Deposited On:28 Nov 2018 16:21
Last Modified:09 Mar 2020 13:18

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