Preprints
https://doi.org/10.5194/essd-2021-153
https://doi.org/10.5194/essd-2021-153
21 May 2021
 | 21 May 2021
Status: this preprint was under review for the journal ESSD but the revision was not accepted.

Daily CO2 emission for China's provinces in 2019 and 2020

Duo Cui, Zhu Liu, CunCun Duan, Zhu Deng, Xiangzheng Deng, Xuanren Song, Xinyu Dou, and Taochun Sun

Abstract. Tracking China's national and regional CO2 emission trends is becoming ever more crucial. The country recently pledged to achieve ambitious emissions reduction targets, however, high-resolution datasets for provincial level CO2 emissions in China are still lacking. This study provides daily CO2 emission datasets for China's 31 provinces, including for the first time, the province of Tibet. The inventory covers the emissions from three industrial sectors (power, industry and ground transport) during 2019 to 2020, with its temporal resolution at a daily level. In addition, the variations in CO2 emissions for seasonal, weekly and holiday periods have been uncovered at a provincial level for the first time. This new data was added to further analyze the impact that weekends and holidays have on China's CO2 emissions. Over weekend periods, carbon emissions are shown to reduce by around 3%. Spring Festival meanwhile, has the greatest impact on the reduction of China's CO2 emissions. This detailed and time-related inventory will facilitate a more local and adaptive management of China’s CO2 emissions during both the COVID-19 pandemic’s recovery and the ongoing energy transition. The data are archived at https://doi.org/10.5281/zenodo.4730175 (Cui et al., 2021).

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Duo Cui, Zhu Liu, CunCun Duan, Zhu Deng, Xiangzheng Deng, Xuanren Song, Xinyu Dou, and Taochun Sun

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-153', Anonymous Referee #1, 15 Jun 2021
    • AC2: 'Reply on RC1', Duo Cui, 20 Aug 2021
  • RC2: 'Comment on essd-2021-153', Anonymous Referee #2, 16 Jun 2021
    • AC1: 'Reply on RC2', Duo Cui, 20 Aug 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-153', Anonymous Referee #1, 15 Jun 2021
    • AC2: 'Reply on RC1', Duo Cui, 20 Aug 2021
  • RC2: 'Comment on essd-2021-153', Anonymous Referee #2, 16 Jun 2021
    • AC1: 'Reply on RC2', Duo Cui, 20 Aug 2021
Duo Cui, Zhu Liu, CunCun Duan, Zhu Deng, Xiangzheng Deng, Xuanren Song, Xinyu Dou, and Taochun Sun

Data sets

Daily CO2 emission for China's provinces in 2019 and 2020 Cui Duo; Liu Zhu; Duan cuncun; Deng Zhu; Deng Xiangzheng; Song Xuanren; Dou Xinyu; Sun Taocun https://doi.org/10.5281/zenodo.4730175

Duo Cui, Zhu Liu, CunCun Duan, Zhu Deng, Xiangzheng Deng, Xuanren Song, Xinyu Dou, and Taochun Sun

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Latest update: 21 Jul 2024
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Short summary
Here we describe a daily CO2 emissions dataset from three industrial sectors such as power, industry and ground transport in 31 provinces of China in 2019 and 2020. We used national daily emissions from Carbon Monitor database and calculated updating provincial weight factor corresponding to CO2 emissions. This is the first timely updating provincial daily CO2 emissions dataset, which is critical for achieving carbon emissions reductions targets for China's provinces.
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