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National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations
Reducing methane emissions from fossil fuel exploitation (oil, gas, coal) is an important target for climate policy, but current national emission inventories submitted to the United Nations Framework Convention on Climate Change (UNFCCC) are highly uncertain. Here we use 22 months (May 2018-Feb 202...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432515/ https://www.ncbi.nlm.nih.gov/pubmed/37587101 http://dx.doi.org/10.1038/s41467-023-40671-6 |
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author | Shen, Lu Jacob, Daniel J. Gautam, Ritesh Omara, Mark Scarpelli, Tia R. Lorente, Alba Zavala-Araiza, Daniel Lu, Xiao Chen, Zichong Lin, Jintai |
author_facet | Shen, Lu Jacob, Daniel J. Gautam, Ritesh Omara, Mark Scarpelli, Tia R. Lorente, Alba Zavala-Araiza, Daniel Lu, Xiao Chen, Zichong Lin, Jintai |
author_sort | Shen, Lu |
collection | PubMed |
description | Reducing methane emissions from fossil fuel exploitation (oil, gas, coal) is an important target for climate policy, but current national emission inventories submitted to the United Nations Framework Convention on Climate Change (UNFCCC) are highly uncertain. Here we use 22 months (May 2018-Feb 2020) of satellite observations from the TROPOMI instrument to better quantify national emissions worldwide by inverse analysis at up to 50 km resolution. We find global emissions of 62.7 ± 11.5 (2σ) Tg a(−1) for oil-gas and 32.7 ± 5.2 Tg a(−1) for coal. Oil-gas emissions are 30% higher than the global total from UNFCCC reports, mainly due to under-reporting by the four largest emitters including the US, Russia, Venezuela, and Turkmenistan. Eight countries have methane emission intensities from the oil-gas sector exceeding 5% of their gas production (20% for Venezuela, Iraq, and Angola), and lowering these intensities to the global average level of 2.4% would reduce global oil-gas emissions by 11 Tg a(−1) or 18%. |
format | Online Article Text |
id | pubmed-10432515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104325152023-08-18 National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations Shen, Lu Jacob, Daniel J. Gautam, Ritesh Omara, Mark Scarpelli, Tia R. Lorente, Alba Zavala-Araiza, Daniel Lu, Xiao Chen, Zichong Lin, Jintai Nat Commun Article Reducing methane emissions from fossil fuel exploitation (oil, gas, coal) is an important target for climate policy, but current national emission inventories submitted to the United Nations Framework Convention on Climate Change (UNFCCC) are highly uncertain. Here we use 22 months (May 2018-Feb 2020) of satellite observations from the TROPOMI instrument to better quantify national emissions worldwide by inverse analysis at up to 50 km resolution. We find global emissions of 62.7 ± 11.5 (2σ) Tg a(−1) for oil-gas and 32.7 ± 5.2 Tg a(−1) for coal. Oil-gas emissions are 30% higher than the global total from UNFCCC reports, mainly due to under-reporting by the four largest emitters including the US, Russia, Venezuela, and Turkmenistan. Eight countries have methane emission intensities from the oil-gas sector exceeding 5% of their gas production (20% for Venezuela, Iraq, and Angola), and lowering these intensities to the global average level of 2.4% would reduce global oil-gas emissions by 11 Tg a(−1) or 18%. Nature Publishing Group UK 2023-08-16 /pmc/articles/PMC10432515/ /pubmed/37587101 http://dx.doi.org/10.1038/s41467-023-40671-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Shen, Lu Jacob, Daniel J. Gautam, Ritesh Omara, Mark Scarpelli, Tia R. Lorente, Alba Zavala-Araiza, Daniel Lu, Xiao Chen, Zichong Lin, Jintai National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations |
title | National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations |
title_full | National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations |
title_fullStr | National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations |
title_full_unstemmed | National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations |
title_short | National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations |
title_sort | national quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432515/ https://www.ncbi.nlm.nih.gov/pubmed/37587101 http://dx.doi.org/10.1038/s41467-023-40671-6 |
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