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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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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. |
format | Online Article Text |
id | pubmed-10620993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
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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