Carbon Monitor Cities near-real-time daily estimates of CO2 emissions from 1500 cities worldwide

Da Huo; Xiaoting Huang; Xinyu Dou; Philippe Ciais; Yun Li; Zhu Deng; Yilong Wang; Duo Cui; Fouzi Benkhelifa; Taochun Sun; Biqing Zhu; Geoffrey Roest; Kevin R. Gurney; Piyu Ke; Rui Guo; Chenxi Lu; Xiaojuan Lin; Arminel Lovell; Kyra Appleby; Philip L. DeCola; Steven J. Davis; Zhu Liu

doi:10.1038/s41597-022-01657-z

Carbon Monitor Cities near-real-time daily estimates of CO₂ emissions from 1500 cities worldwide

Da Huo, Xiaoting Huang, Xinyu Dou, Philippe Ciais, Yun Li, Zhu Deng, Yilong Wang, Duo Cui, Fouzi Benkhelifa, Taochun Sun, Biqing Zhu, Geoffrey Roest, Kevin R. Gurney, Piyu Ke, Rui Guo, Chenxi Lu, Xiaojuan Lin, Arminel Lovell, Kyra Appleby, Philip L. DeColaSteven J. Davis, Zhu Liu

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

Abstract

Building on near-real-time and spatially explicit estimates of daily carbon dioxide (CO₂) 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.

Original language	English (US)
Article number	533
Journal	Scientific Data
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41597-022-01657-z
State	Published - Dec 2022
Externally published	Yes

ASJC Scopus subject areas

Statistics and Probability
Information Systems
Education
Computer Science Applications
Statistics, Probability and Uncertainty
Library and Information Sciences

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Huo, D., Huang, X., Dou, X., Ciais, P., Li, Y., Deng, Z., Wang, Y., Cui, D., Benkhelifa, F., Sun, T., Zhu, B., Roest, G., Gurney, K. R., Ke, P., Guo, R., Lu, C., Lin, X., Lovell, A., Appleby, K., ... Liu, Z. (2022). Carbon Monitor Cities near-real-time daily estimates of CO₂ emissions from 1500 cities worldwide. Scientific Data, 9(1), Article 533. https://doi.org/10.1038/s41597-022-01657-z

Huo, D, Huang, X, Dou, X, Ciais, P, Li, Y, Deng, Z, Wang, Y, Cui, D, Benkhelifa, F, Sun, T, Zhu, B, Roest, G, Gurney, KR, Ke, P, Guo, R, Lu, C, Lin, X, Lovell, A, Appleby, K, DeCola, PL, Davis, SJ & Liu, Z 2022, 'Carbon Monitor Cities near-real-time daily estimates of CO₂ emissions from 1500 cities worldwide', Scientific Data, vol. 9, no. 1, 533. https://doi.org/10.1038/s41597-022-01657-z

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abstract = "Building on near-real-time and spatially explicit estimates of daily carbon dioxide (CO2) 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.",

author = "Da Huo and Xiaoting Huang and Xinyu Dou and Philippe Ciais and Yun Li and Zhu Deng and Yilong Wang and Duo Cui and Fouzi Benkhelifa and Taochun Sun and Biqing Zhu and Geoffrey Roest and Gurney, {Kevin R.} and Piyu Ke and Rui Guo and Chenxi Lu and Xiaojuan Lin and Arminel Lovell and Kyra Appleby and DeCola, {Philip L.} and Davis, {Steven J.} and Zhu Liu",

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AU - Deng, Zhu

AU - Wang, Yilong

AU - Cui, Duo

AU - Benkhelifa, Fouzi

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AU - Roest, Geoffrey

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AU - Ke, Piyu

AU - Guo, Rui

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AU - Lin, Xiaojuan

AU - Lovell, Arminel

AU - Appleby, Kyra

AU - DeCola, Philip L.

AU - Davis, Steven J.

AU - Liu, Zhu

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N2 - Building on near-real-time and spatially explicit estimates of daily carbon dioxide (CO2) 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.

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Carbon Monitor Cities near-real-time daily estimates of CO₂ emissions from 1500 cities worldwide

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