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Carbon Monitor, a near-real-time daily dataset of global CO(2) emission from fossil fuel and cement production
We constructed a near-real-time daily CO(2) emission dataset, the Carbon Monitor, to monitor the variations in CO(2) emissions from fossil fuel combustion and cement production since January 1, 2019, at the national level, with near-global coverage on a daily basis and the potential to be frequently...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653960/ https://www.ncbi.nlm.nih.gov/pubmed/33168822 http://dx.doi.org/10.1038/s41597-020-00708-7 |
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author | Liu, Zhu Ciais, Philippe Deng, Zhu Davis, Steven J. Zheng, Bo Wang, Yilong Cui, Duo Zhu, Biqing Dou, Xinyu Ke, Piyu Sun, Taochun Guo, Rui Zhong, Haiwang Boucher, Olivier Bréon, François-Marie Lu, Chenxi Guo, Runtao Xue, Jinjun Boucher, Eulalie Tanaka, Katsumasa Chevallier, Frédéric |
author_facet | Liu, Zhu Ciais, Philippe Deng, Zhu Davis, Steven J. Zheng, Bo Wang, Yilong Cui, Duo Zhu, Biqing Dou, Xinyu Ke, Piyu Sun, Taochun Guo, Rui Zhong, Haiwang Boucher, Olivier Bréon, François-Marie Lu, Chenxi Guo, Runtao Xue, Jinjun Boucher, Eulalie Tanaka, Katsumasa Chevallier, Frédéric |
author_sort | Liu, Zhu |
collection | PubMed |
description | We constructed a near-real-time daily CO(2) emission dataset, the Carbon Monitor, to monitor the variations in CO(2) emissions from fossil fuel combustion and cement production since January 1, 2019, at the national level, with near-global coverage on a daily basis and the potential to be frequently updated. Daily CO(2) emissions are estimated from a diverse range of activity data, including the hourly to daily electrical power generation data of 31 countries, monthly production data and production indices of industry processes of 62 countries/regions, and daily mobility data and mobility indices for the ground transportation of 416 cities worldwide. Individual flight location data and monthly data were utilized for aviation and maritime transportation sector estimates. In addition, monthly fuel consumption data corrected for the daily air temperature of 206 countries were used to estimate the emissions from commercial and residential buildings. This Carbon Monitor dataset manifests the dynamic nature of CO(2) emissions through daily, weekly and seasonal variations as influenced by workdays and holidays, as well as by the unfolding impacts of the COVID-19 pandemic. The Carbon Monitor near-real-time CO(2) emission dataset shows a 8.8% decline in CO(2) emissions globally from January 1(st) to June 30(th) in 2020 when compared with the same period in 2019 and detects a regrowth of CO(2) emissions by late April, which is mainly attributed to the recovery of economic activities in China and a partial easing of lockdowns in other countries. This daily updated CO(2) emission dataset could offer a range of opportunities for related scientific research and policy making. |
format | Online Article Text |
id | pubmed-7653960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76539602020-11-12 Carbon Monitor, a near-real-time daily dataset of global CO(2) emission from fossil fuel and cement production Liu, Zhu Ciais, Philippe Deng, Zhu Davis, Steven J. Zheng, Bo Wang, Yilong Cui, Duo Zhu, Biqing Dou, Xinyu Ke, Piyu Sun, Taochun Guo, Rui Zhong, Haiwang Boucher, Olivier Bréon, François-Marie Lu, Chenxi Guo, Runtao Xue, Jinjun Boucher, Eulalie Tanaka, Katsumasa Chevallier, Frédéric Sci Data Data Descriptor We constructed a near-real-time daily CO(2) emission dataset, the Carbon Monitor, to monitor the variations in CO(2) emissions from fossil fuel combustion and cement production since January 1, 2019, at the national level, with near-global coverage on a daily basis and the potential to be frequently updated. Daily CO(2) emissions are estimated from a diverse range of activity data, including the hourly to daily electrical power generation data of 31 countries, monthly production data and production indices of industry processes of 62 countries/regions, and daily mobility data and mobility indices for the ground transportation of 416 cities worldwide. Individual flight location data and monthly data were utilized for aviation and maritime transportation sector estimates. In addition, monthly fuel consumption data corrected for the daily air temperature of 206 countries were used to estimate the emissions from commercial and residential buildings. This Carbon Monitor dataset manifests the dynamic nature of CO(2) emissions through daily, weekly and seasonal variations as influenced by workdays and holidays, as well as by the unfolding impacts of the COVID-19 pandemic. The Carbon Monitor near-real-time CO(2) emission dataset shows a 8.8% decline in CO(2) emissions globally from January 1(st) to June 30(th) in 2020 when compared with the same period in 2019 and detects a regrowth of CO(2) emissions by late April, which is mainly attributed to the recovery of economic activities in China and a partial easing of lockdowns in other countries. This daily updated CO(2) emission dataset could offer a range of opportunities for related scientific research and policy making. Nature Publishing Group UK 2020-11-09 /pmc/articles/PMC7653960/ /pubmed/33168822 http://dx.doi.org/10.1038/s41597-020-00708-7 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Liu, Zhu Ciais, Philippe Deng, Zhu Davis, Steven J. Zheng, Bo Wang, Yilong Cui, Duo Zhu, Biqing Dou, Xinyu Ke, Piyu Sun, Taochun Guo, Rui Zhong, Haiwang Boucher, Olivier Bréon, François-Marie Lu, Chenxi Guo, Runtao Xue, Jinjun Boucher, Eulalie Tanaka, Katsumasa Chevallier, Frédéric Carbon Monitor, a near-real-time daily dataset of global CO(2) emission from fossil fuel and cement production |
title | Carbon Monitor, a near-real-time daily dataset of global CO(2) emission from fossil fuel and cement production |
title_full | Carbon Monitor, a near-real-time daily dataset of global CO(2) emission from fossil fuel and cement production |
title_fullStr | Carbon Monitor, a near-real-time daily dataset of global CO(2) emission from fossil fuel and cement production |
title_full_unstemmed | Carbon Monitor, a near-real-time daily dataset of global CO(2) emission from fossil fuel and cement production |
title_short | Carbon Monitor, a near-real-time daily dataset of global CO(2) emission from fossil fuel and cement production |
title_sort | carbon monitor, a near-real-time daily dataset of global co(2) emission from fossil fuel and cement production |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653960/ https://www.ncbi.nlm.nih.gov/pubmed/33168822 http://dx.doi.org/10.1038/s41597-020-00708-7 |
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