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

Authors :
Huo, Da
Liu, Kai
Liu, Jianwu
Huang, Yingjian
Sun, Taochun
Sun, Yun
Si, Caomingzhe
Liu, Jinjie
Huang, Xiaoting
Qiu, Jian
Wang, Haijin
Cui, Duo
Zhu, Biqing
Deng, Zhu
Ke, Piyu
Shan, Yuli
Boucher, Olivier
Dannet, Grégoire
Liang, Gaoqi
Zhao, Junhua
Source :
Scientific Data; 11/10/2022, Vol. 9 Issue 1, p1-21, 21p
Publication Year :
2022

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 CO<subscript>2</subscript> 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 CO<subscript>2</subscript> 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. Measurement(s) carbon dioxide emissions Technology Type(s) fossil fuel consumption [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20524463
Volume :
9
Issue :
1
Database :
Complementary Index
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
160141192
Full Text :
https://doi.org/10.1038/s41597-022-01796-3