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Carbon Monitor Cities near-real-time daily estimates of CO(2) emissions from 1500 cities worldwide
Building on near-real-time and spatially explicit estimates of daily carbon dioxide (CO(2)) emissions, here we present and analyze a new city-level dataset of fossil fuel and cement emissions, Carbon Monitor Cities, which provides daily estimates of emissions from January 2019 through December 2021...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434530/ https://www.ncbi.nlm.nih.gov/pubmed/36050332 http://dx.doi.org/10.1038/s41597-022-01657-z |
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author | Huo, Da Huang, Xiaoting Dou, Xinyu Ciais, Philippe Li, Yun Deng, Zhu Wang, Yilong Cui, Duo Benkhelifa, Fouzi Sun, Taochun Zhu, Biqing Roest, Geoffrey Gurney, Kevin R. Ke, Piyu Guo, Rui Lu, Chenxi Lin, Xiaojuan Lovell, Arminel Appleby, Kyra DeCola, Philip L. Davis, Steven J. Liu, Zhu |
author_facet | Huo, Da Huang, Xiaoting Dou, Xinyu Ciais, Philippe Li, Yun Deng, Zhu Wang, Yilong Cui, Duo Benkhelifa, Fouzi Sun, Taochun Zhu, Biqing Roest, Geoffrey Gurney, Kevin R. Ke, Piyu Guo, Rui Lu, Chenxi Lin, Xiaojuan Lovell, Arminel Appleby, Kyra DeCola, Philip L. Davis, Steven J. Liu, Zhu |
author_sort | Huo, Da |
collection | PubMed |
description | Building on near-real-time and spatially explicit estimates of daily carbon dioxide (CO(2)) emissions, here we present and analyze a new city-level dataset of fossil fuel and cement emissions, Carbon Monitor Cities, which provides daily estimates of emissions from January 2019 through December 2021 for 1500 cities in 46 countries, and disaggregates five sectors: power generation, residential (buildings), industry, ground transportation, and aviation. The goal of this dataset is to improve the timeliness and temporal resolution of city-level emission inventories and includes estimates for both functional urban areas and city administrative areas that are consistent with global and regional totals. Comparisons with other datasets (i.e. CEADs, MEIC, Vulcan, and CDP-ICLEI Track) were performed, and we estimate the overall annual uncertainty range to be ±21.7%. Carbon Monitor Cities is a near-real-time, city-level emission dataset that includes cities around the world, including the first estimates for many cities in low-income countries. |
format | Online Article Text |
id | pubmed-9434530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94345302022-09-01 Carbon Monitor Cities near-real-time daily estimates of CO(2) emissions from 1500 cities worldwide Huo, Da Huang, Xiaoting Dou, Xinyu Ciais, Philippe Li, Yun Deng, Zhu Wang, Yilong Cui, Duo Benkhelifa, Fouzi Sun, Taochun Zhu, Biqing Roest, Geoffrey Gurney, Kevin R. Ke, Piyu Guo, Rui Lu, Chenxi Lin, Xiaojuan Lovell, Arminel Appleby, Kyra DeCola, Philip L. Davis, Steven J. Liu, Zhu Sci Data Data Descriptor Building on near-real-time and spatially explicit estimates of daily carbon dioxide (CO(2)) emissions, here we present and analyze a new city-level dataset of fossil fuel and cement emissions, Carbon Monitor Cities, which provides daily estimates of emissions from January 2019 through December 2021 for 1500 cities in 46 countries, and disaggregates five sectors: power generation, residential (buildings), industry, ground transportation, and aviation. The goal of this dataset is to improve the timeliness and temporal resolution of city-level emission inventories and includes estimates for both functional urban areas and city administrative areas that are consistent with global and regional totals. Comparisons with other datasets (i.e. CEADs, MEIC, Vulcan, and CDP-ICLEI Track) were performed, and we estimate the overall annual uncertainty range to be ±21.7%. Carbon Monitor Cities is a near-real-time, city-level emission dataset that includes cities around the world, including the first estimates for many cities in low-income countries. Nature Publishing Group UK 2022-09-01 /pmc/articles/PMC9434530/ /pubmed/36050332 http://dx.doi.org/10.1038/s41597-022-01657-z Text en © The Author(s) 2022 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 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Huo, Da Huang, Xiaoting Dou, Xinyu Ciais, Philippe Li, Yun Deng, Zhu Wang, Yilong Cui, Duo Benkhelifa, Fouzi Sun, Taochun Zhu, Biqing Roest, Geoffrey Gurney, Kevin R. Ke, Piyu Guo, Rui Lu, Chenxi Lin, Xiaojuan Lovell, Arminel Appleby, Kyra DeCola, Philip L. Davis, Steven J. Liu, Zhu Carbon Monitor Cities near-real-time daily estimates of CO(2) emissions from 1500 cities worldwide |
title | Carbon Monitor Cities near-real-time daily estimates of CO(2) emissions from 1500 cities worldwide |
title_full | Carbon Monitor Cities near-real-time daily estimates of CO(2) emissions from 1500 cities worldwide |
title_fullStr | Carbon Monitor Cities near-real-time daily estimates of CO(2) emissions from 1500 cities worldwide |
title_full_unstemmed | Carbon Monitor Cities near-real-time daily estimates of CO(2) emissions from 1500 cities worldwide |
title_short | Carbon Monitor Cities near-real-time daily estimates of CO(2) emissions from 1500 cities worldwide |
title_sort | carbon monitor cities near-real-time daily estimates of co(2) emissions from 1500 cities worldwide |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434530/ https://www.ncbi.nlm.nih.gov/pubmed/36050332 http://dx.doi.org/10.1038/s41597-022-01657-z |
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