Near-real-time daily estimates of fossil fuel CO2 emissions from major high-emission cities in China

Da Huo; Kai Liu; Jianwu Liu; Yingjian Huang; Taochun Sun; Yun Sun; Caomingzhe Si; Jinjie Liu; Xiaoting Huang; Jian Qiu; Haijin Wang; Duo Cui; Biqing Zhu; Zhu Deng; Piyu Ke; Yuli Shan; Olivier Boucher; Grégoire Dannet; Gaoqi Liang; Junhua Zhao; Qian Zhang; Philippe Ciais; Wenwen Zhou; Zhu Liu; Lei Chen

doi:10.1038/s41597-022-01796-3

Near-real-time daily estimates of fossil fuel CO₂ emissions from major high-emission cities in China

Da Huo, Kai Liu, Jianwu Liu, Yingjian Huang, Taochun Sun, Yun Sun, Caomingzhe Si, Jinjie Liu, Xiaoting Huang, Jian Qiu, Haijin Wang, Duo Cui, Biqing Zhu, Zhu Deng, Piyu Ke, Yuli Shan, Olivier Boucher, Grégoire Dannet, Gaoqi Liang, Junhua ZhaoQian Zhang, Philippe Ciais, Wenwen Zhou^*, Zhu Liu^*, Lei Chen

^*Corresponding author for this work

Geography, Earth and Environmental Sciences

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Abstract

Cities in China are on the frontline of low-carbon transition which requires monitoring city-level emissions with low-latency to support timely climate actions. Most existing CO₂ emission inventories lag reality by more than one year and only provide annual totals. To improve the timeliness and temporal resolution of city-level emission inventories, we present Carbon Monitor Cities-China (CMCC), a near-real-time dataset of daily CO₂ emissions from fossil fuel and cement production for 48 major high-emission cities in China. This dataset provides territory-based emission estimates from 2020-01-01 to 2021-12-31 for five sectors: power generation, residential (buildings and services), industry, ground transportation, and aviation. CMCC is developed based on an innovative framework that integrates bottom-up inventory construction and daily emission estimates from sectoral activities and models. Annual emissions show reasonable agreement with other datasets, and uncertainty ranges are estimated for each city and sector. CMCC provides valuable daily emission estimates that enable low-latency mitigation monitoring for cities in China.

Original language	English
Article number	684
Number of pages	21
Journal	Scientific Data
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41597-022-01796-3
Publication status	Published - 10 Nov 2022

Bibliographical note

Funding Information:
Authors acknowledges support from Dr. Bofeng Cai at the Center for Climate Change and Environmental Policy, Chinese Academy for Environmental Planning. ZL acknowledge the National Natural Science Foundation of China (grant 71874097, 41921005, and 72140002), Beijing Natural Science Foundation (JQ19032), and the Qiu Shi Science & Technologies Foundation.

Publisher Copyright:
© 2022, The Author(s).

ASJC Scopus subject areas

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

Huo, D., Liu, K., Liu, J., Huang, Y., Sun, T., Sun, Y., Si, C., Liu, J., Huang, X., Qiu, J., Wang, H., Cui, D., Zhu, B., Deng, Z., Ke, P., Shan, Y., Boucher, O., Dannet, G., Liang, G., ... Chen, L. (2022). Near-real-time daily estimates of fossil fuel CO₂ emissions from major high-emission cities in China. Scientific Data, 9(1), Article 684. https://doi.org/10.1038/s41597-022-01796-3

@article{df97397cec864eea9531f776726f0fbf,

title = "Near-real-time daily estimates of fossil fuel CO2 emissions from major high-emission cities in China",

abstract = "Cities in China are on the frontline of low-carbon transition which requires monitoring city-level emissions with low-latency to support timely climate actions. Most existing CO2 emission inventories lag reality by more than one year and only provide annual totals. To improve the timeliness and temporal resolution of city-level emission inventories, we present Carbon Monitor Cities-China (CMCC), a near-real-time dataset of daily CO2 emissions from fossil fuel and cement production for 48 major high-emission cities in China. This dataset provides territory-based emission estimates from 2020-01-01 to 2021-12-31 for five sectors: power generation, residential (buildings and services), industry, ground transportation, and aviation. CMCC is developed based on an innovative framework that integrates bottom-up inventory construction and daily emission estimates from sectoral activities and models. Annual emissions show reasonable agreement with other datasets, and uncertainty ranges are estimated for each city and sector. CMCC provides valuable daily emission estimates that enable low-latency mitigation monitoring for cities in China.",

author = "Da Huo and Kai Liu and Jianwu Liu and Yingjian Huang and Taochun Sun and Yun Sun and Caomingzhe Si and Jinjie Liu and Xiaoting Huang and Jian Qiu and Haijin Wang and Duo Cui and Biqing Zhu and Zhu Deng and Piyu Ke and Yuli Shan and Olivier Boucher and Gr{\'e}goire Dannet and Gaoqi Liang and Junhua Zhao and Qian Zhang and Philippe Ciais and Wenwen Zhou and Zhu Liu and Lei Chen",

note = "Funding Information: Authors acknowledges support from Dr. Bofeng Cai at the Center for Climate Change and Environmental Policy, Chinese Academy for Environmental Planning. ZL acknowledge the National Natural Science Foundation of China (grant 71874097, 41921005, and 72140002), Beijing Natural Science Foundation (JQ19032), and the Qiu Shi Science & Technologies Foundation. Publisher Copyright: {\textcopyright} 2022, The Author(s).",

year = "2022",

month = nov,

day = "10",

doi = "10.1038/s41597-022-01796-3",

language = "English",

volume = "9",

journal = "Scientific Data",

issn = "2052-4463",

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Huo, D, Liu, K, Liu, J, Huang, Y, Sun, T, Sun, Y, Si, C, Liu, J, Huang, X, Qiu, J, Wang, H, Cui, D, Zhu, B, Deng, Z, Ke, P, Shan, Y, Boucher, O, Dannet, G, Liang, G, Zhao, J, Zhang, Q, Ciais, P, Zhou, W, Liu, Z & Chen, L 2022, 'Near-real-time daily estimates of fossil fuel CO₂ emissions from major high-emission cities in China', Scientific Data, vol. 9, no. 1, 684. https://doi.org/10.1038/s41597-022-01796-3

TY - JOUR

T1 - Near-real-time daily estimates of fossil fuel CO2 emissions from major high-emission cities in China

AU - Huo, Da

AU - Liu, Kai

AU - Liu, Jianwu

AU - Huang, Yingjian

AU - Sun, Taochun

AU - Sun, Yun

AU - Si, Caomingzhe

AU - Liu, Jinjie

AU - Huang, Xiaoting

AU - Qiu, Jian

AU - Wang, Haijin

AU - Cui, Duo

AU - Zhu, Biqing

AU - Deng, Zhu

AU - Ke, Piyu

AU - Shan, Yuli

AU - Boucher, Olivier

AU - Dannet, Grégoire

AU - Liang, Gaoqi

AU - Zhao, Junhua

AU - Zhang, Qian

AU - Ciais, Philippe

AU - Zhou, Wenwen

AU - Liu, Zhu

AU - Chen, Lei

N1 - Funding Information: Authors acknowledges support from Dr. Bofeng Cai at the Center for Climate Change and Environmental Policy, Chinese Academy for Environmental Planning. ZL acknowledge the National Natural Science Foundation of China (grant 71874097, 41921005, and 72140002), Beijing Natural Science Foundation (JQ19032), and the Qiu Shi Science & Technologies Foundation. Publisher Copyright: © 2022, The Author(s).

PY - 2022/11/10

Y1 - 2022/11/10

N2 - Cities in China are on the frontline of low-carbon transition which requires monitoring city-level emissions with low-latency to support timely climate actions. Most existing CO2 emission inventories lag reality by more than one year and only provide annual totals. To improve the timeliness and temporal resolution of city-level emission inventories, we present Carbon Monitor Cities-China (CMCC), a near-real-time dataset of daily CO2 emissions from fossil fuel and cement production for 48 major high-emission cities in China. This dataset provides territory-based emission estimates from 2020-01-01 to 2021-12-31 for five sectors: power generation, residential (buildings and services), industry, ground transportation, and aviation. CMCC is developed based on an innovative framework that integrates bottom-up inventory construction and daily emission estimates from sectoral activities and models. Annual emissions show reasonable agreement with other datasets, and uncertainty ranges are estimated for each city and sector. CMCC provides valuable daily emission estimates that enable low-latency mitigation monitoring for cities in China.

AB - Cities in China are on the frontline of low-carbon transition which requires monitoring city-level emissions with low-latency to support timely climate actions. Most existing CO2 emission inventories lag reality by more than one year and only provide annual totals. To improve the timeliness and temporal resolution of city-level emission inventories, we present Carbon Monitor Cities-China (CMCC), a near-real-time dataset of daily CO2 emissions from fossil fuel and cement production for 48 major high-emission cities in China. This dataset provides territory-based emission estimates from 2020-01-01 to 2021-12-31 for five sectors: power generation, residential (buildings and services), industry, ground transportation, and aviation. CMCC is developed based on an innovative framework that integrates bottom-up inventory construction and daily emission estimates from sectoral activities and models. Annual emissions show reasonable agreement with other datasets, and uncertainty ranges are estimated for each city and sector. CMCC provides valuable daily emission estimates that enable low-latency mitigation monitoring for cities in China.

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