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A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions

[Image: see text] Nationally reported greenhouse gas inventories are a core component of the Paris Agreement’s transparency framework. Comparisons with emission estimates derived from atmospheric observations help identify improvements to reduce uncertainties and increase the confidence in reported...

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Autores principales: Maasakkers, Joannes D., McDuffie, Erin E., Sulprizio, Melissa P., Chen, Candice, Schultz, Maggie, Brunelle, Lily, Thrush, Ryan, Steller, John, Sherry, Christopher, Jacob, Daniel J., Jeong, Seongeun, Irving, Bill, Weitz, Melissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620993/
https://www.ncbi.nlm.nih.gov/pubmed/37857355
http://dx.doi.org/10.1021/acs.est.3c05138
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author Maasakkers, Joannes D.
McDuffie, Erin E.
Sulprizio, Melissa P.
Chen, Candice
Schultz, Maggie
Brunelle, Lily
Thrush, Ryan
Steller, John
Sherry, Christopher
Jacob, Daniel J.
Jeong, Seongeun
Irving, Bill
Weitz, Melissa
author_facet Maasakkers, Joannes D.
McDuffie, Erin E.
Sulprizio, Melissa P.
Chen, Candice
Schultz, Maggie
Brunelle, Lily
Thrush, Ryan
Steller, John
Sherry, Christopher
Jacob, Daniel J.
Jeong, Seongeun
Irving, Bill
Weitz, Melissa
author_sort Maasakkers, Joannes D.
collection PubMed
description [Image: see text] Nationally reported greenhouse gas inventories are a core component of the Paris Agreement’s transparency framework. Comparisons with emission estimates derived from atmospheric observations help identify improvements to reduce uncertainties and increase the confidence in reported values. To facilitate comparisons over the contiguous United States, we present a 0.1° × 0.1° gridded inventory of annual 2012–2018 anthropogenic methane emissions, allocated to 26 individual source categories, with scale-dependent error estimates. Our inventory is consistent with the U.S. Environmental Protection Agency (EPA) Inventory of U.S. Greenhouse Gas Emissions and Sinks (GHGI), submitted to the United Nations in 2020. Total emissions and patterns (spatial/temporal) reflect the activity and emission factor data underlying the GHGI, including many updates relative to a previous gridded version of the GHGI that has been extensively compared with observations. These underlying data are not generally available in global gridded inventories, and comparison to EDGAR version 6 shows large spatial differences, particularly for the oil and gas sectors. We also find strong regional variability across all sources in annual 2012–2018 spatial trends, highlighting the importance of understanding regional- and facility-level activities. Our inventory represents the first time series of gridded GHGI methane emissions and enables robust comparisons of emissions and their trends with atmospheric observations.
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spelling pubmed-106209932023-11-03 A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions Maasakkers, Joannes D. McDuffie, Erin E. Sulprizio, Melissa P. Chen, Candice Schultz, Maggie Brunelle, Lily Thrush, Ryan Steller, John Sherry, Christopher Jacob, Daniel J. Jeong, Seongeun Irving, Bill Weitz, Melissa Environ Sci Technol [Image: see text] Nationally reported greenhouse gas inventories are a core component of the Paris Agreement’s transparency framework. Comparisons with emission estimates derived from atmospheric observations help identify improvements to reduce uncertainties and increase the confidence in reported values. To facilitate comparisons over the contiguous United States, we present a 0.1° × 0.1° gridded inventory of annual 2012–2018 anthropogenic methane emissions, allocated to 26 individual source categories, with scale-dependent error estimates. Our inventory is consistent with the U.S. Environmental Protection Agency (EPA) Inventory of U.S. Greenhouse Gas Emissions and Sinks (GHGI), submitted to the United Nations in 2020. Total emissions and patterns (spatial/temporal) reflect the activity and emission factor data underlying the GHGI, including many updates relative to a previous gridded version of the GHGI that has been extensively compared with observations. These underlying data are not generally available in global gridded inventories, and comparison to EDGAR version 6 shows large spatial differences, particularly for the oil and gas sectors. We also find strong regional variability across all sources in annual 2012–2018 spatial trends, highlighting the importance of understanding regional- and facility-level activities. Our inventory represents the first time series of gridded GHGI methane emissions and enables robust comparisons of emissions and their trends with atmospheric observations. American Chemical Society 2023-10-19 /pmc/articles/PMC10620993/ /pubmed/37857355 http://dx.doi.org/10.1021/acs.est.3c05138 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Maasakkers, Joannes D.
McDuffie, Erin E.
Sulprizio, Melissa P.
Chen, Candice
Schultz, Maggie
Brunelle, Lily
Thrush, Ryan
Steller, John
Sherry, Christopher
Jacob, Daniel J.
Jeong, Seongeun
Irving, Bill
Weitz, Melissa
A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions
title A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions
title_full A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions
title_fullStr A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions
title_full_unstemmed A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions
title_short A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions
title_sort gridded inventory of annual 2012–2018 u.s. anthropogenic methane emissions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620993/
https://www.ncbi.nlm.nih.gov/pubmed/37857355
http://dx.doi.org/10.1021/acs.est.3c05138
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