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Near-real-time global gridded daily CO(2) emissions
Precise and high-resolution carbon dioxide (CO(2)) emission data is of great importance in achieving carbon neutrality around the world. Here we present for the first time the near-real-time Global Gridded Daily CO(2) Emissions Dataset (GRACED) from fossil fuel and cement production with a global sp...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703084/ https://www.ncbi.nlm.nih.gov/pubmed/34988539 http://dx.doi.org/10.1016/j.xinn.2021.100182 |
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author | Dou, Xinyu Wang, Yilong Ciais, Philippe Chevallier, Frédéric Davis, Steven J. Crippa, Monica Janssens-Maenhout, Greet Guizzardi, Diego Solazzo, Efisio Yan, Feifan Huo, Da Zheng, Bo Zhu, Biqing Cui, Duo Ke, Piyu Sun, Taochun Wang, Hengqi Zhang, Qiang Gentine, Pierre Deng, Zhu Liu, Zhu |
author_facet | Dou, Xinyu Wang, Yilong Ciais, Philippe Chevallier, Frédéric Davis, Steven J. Crippa, Monica Janssens-Maenhout, Greet Guizzardi, Diego Solazzo, Efisio Yan, Feifan Huo, Da Zheng, Bo Zhu, Biqing Cui, Duo Ke, Piyu Sun, Taochun Wang, Hengqi Zhang, Qiang Gentine, Pierre Deng, Zhu Liu, Zhu |
author_sort | Dou, Xinyu |
collection | PubMed |
description | Precise and high-resolution carbon dioxide (CO(2)) emission data is of great importance in achieving carbon neutrality around the world. Here we present for the first time the near-real-time Global Gridded Daily CO(2) Emissions Dataset (GRACED) from fossil fuel and cement production with a global spatial resolution of 0.1° by 0.1° and a temporal resolution of 1 day. Gridded fossil emissions are computed for different sectors based on the daily national CO(2) emissions from near-real-time dataset (Carbon Monitor), the spatial patterns of point source emission dataset Global Energy Infrastructure Emissions Database (GID), Emission Database for Global Atmospheric Research (EDGAR), and spatiotemporal patters of satellite nitrogen dioxide (NO(2)) retrievals. Our study on the global CO(2) emissions responds to the growing and urgent need for high-quality, fine-grained, near-real-time CO(2) emissions estimates to support global emissions monitoring across various spatial scales. We show the spatial patterns of emission changes for power, industry, residential consumption, ground transportation, domestic and international aviation, and international shipping sectors from January 1, 2019, to December 31, 2020. This gives thorough insights into the relative contributions from each sector. Furthermore, it provides the most up-to-date and fine-grained overview of where and when fossil CO(2) emissions have decreased and rebounded in response to emergencies (e.g., coronavirus disease 2019 [COVID-19]) and other disturbances of human activities of any previously published dataset. As the world recovers from the pandemic and decarbonizes its energy systems, regular updates of this dataset will enable policymakers to more closely monitor the effectiveness of climate and energy policies and quickly adapt. |
format | Online Article Text |
id | pubmed-8703084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-87030842022-01-04 Near-real-time global gridded daily CO(2) emissions Dou, Xinyu Wang, Yilong Ciais, Philippe Chevallier, Frédéric Davis, Steven J. Crippa, Monica Janssens-Maenhout, Greet Guizzardi, Diego Solazzo, Efisio Yan, Feifan Huo, Da Zheng, Bo Zhu, Biqing Cui, Duo Ke, Piyu Sun, Taochun Wang, Hengqi Zhang, Qiang Gentine, Pierre Deng, Zhu Liu, Zhu Innovation (Camb) Report Precise and high-resolution carbon dioxide (CO(2)) emission data is of great importance in achieving carbon neutrality around the world. Here we present for the first time the near-real-time Global Gridded Daily CO(2) Emissions Dataset (GRACED) from fossil fuel and cement production with a global spatial resolution of 0.1° by 0.1° and a temporal resolution of 1 day. Gridded fossil emissions are computed for different sectors based on the daily national CO(2) emissions from near-real-time dataset (Carbon Monitor), the spatial patterns of point source emission dataset Global Energy Infrastructure Emissions Database (GID), Emission Database for Global Atmospheric Research (EDGAR), and spatiotemporal patters of satellite nitrogen dioxide (NO(2)) retrievals. Our study on the global CO(2) emissions responds to the growing and urgent need for high-quality, fine-grained, near-real-time CO(2) emissions estimates to support global emissions monitoring across various spatial scales. We show the spatial patterns of emission changes for power, industry, residential consumption, ground transportation, domestic and international aviation, and international shipping sectors from January 1, 2019, to December 31, 2020. This gives thorough insights into the relative contributions from each sector. Furthermore, it provides the most up-to-date and fine-grained overview of where and when fossil CO(2) emissions have decreased and rebounded in response to emergencies (e.g., coronavirus disease 2019 [COVID-19]) and other disturbances of human activities of any previously published dataset. As the world recovers from the pandemic and decarbonizes its energy systems, regular updates of this dataset will enable policymakers to more closely monitor the effectiveness of climate and energy policies and quickly adapt. Elsevier 2021-11-02 /pmc/articles/PMC8703084/ /pubmed/34988539 http://dx.doi.org/10.1016/j.xinn.2021.100182 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Report Dou, Xinyu Wang, Yilong Ciais, Philippe Chevallier, Frédéric Davis, Steven J. Crippa, Monica Janssens-Maenhout, Greet Guizzardi, Diego Solazzo, Efisio Yan, Feifan Huo, Da Zheng, Bo Zhu, Biqing Cui, Duo Ke, Piyu Sun, Taochun Wang, Hengqi Zhang, Qiang Gentine, Pierre Deng, Zhu Liu, Zhu Near-real-time global gridded daily CO(2) emissions |
title | Near-real-time global gridded daily CO(2) emissions |
title_full | Near-real-time global gridded daily CO(2) emissions |
title_fullStr | Near-real-time global gridded daily CO(2) emissions |
title_full_unstemmed | Near-real-time global gridded daily CO(2) emissions |
title_short | Near-real-time global gridded daily CO(2) emissions |
title_sort | near-real-time global gridded daily co(2) emissions |
topic | Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703084/ https://www.ncbi.nlm.nih.gov/pubmed/34988539 http://dx.doi.org/10.1016/j.xinn.2021.100182 |
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