Carbon Monitor, a near-real-time daily dataset of global CO2 emission from fossil fuel and cement production | |
Liu, Zhu9; Ciais, Philippe10; Deng, Zhu9; Davis, Steven J.11; Zheng, Bo10; Wang, Yilong12; Cui, Duo9; Zhu, Biqing9; Dou, Xinyu9; Ke, Piyu9 | |
刊名 | SCIENTIFIC DATA |
2020-11-09 | |
卷号 | 7期号:1页码:12 |
DOI | 10.1038/s41597-020-00708-7 |
通讯作者 | Liu, Zhu(zhuliu@tsinghua.edu.cn) ; Ciais, Philippe(philippe.ciais@lsce.ipsl.fr) ; Davis, Steven J.(sjdavis@uci.edu) |
英文摘要 | We constructed a near-real-time daily CO2 emission dataset, the Carbon Monitor, to monitor the variations in CO2 emissions from fossil fuel combustion and cement production since January 1, 2019, at the national level, with near-global coverage on a daily basis and the potential to be frequently updated. Daily CO2 emissions are estimated from a diverse range of activity data, including the hourly to daily electrical power generation data of 31 countries, monthly production data and production indices of industry processes of 62 countries/regions, and daily mobility data and mobility indices for the ground transportation of 416 cities worldwide. Individual flight location data and monthly data were utilized for aviation and maritime transportation sector estimates. In addition, monthly fuel consumption data corrected for the daily air temperature of 206 countries were used to estimate the emissions from commercial and residential buildings. This Carbon Monitor dataset manifests the dynamic nature of CO2 emissions through daily, weekly and seasonal variations as influenced by workdays and holidays, as well as by the unfolding impacts of the COVID-19 pandemic. The Carbon Monitor near-real-time CO2 emission dataset shows a 8.8% decline in CO2 emissions globally from January 1st to June 30th in 2020 when compared with the same period in 2019 and detects a regrowth of CO2 emissions by late April, which is mainly attributed to the recovery of economic activities in China and a partial easing of lockdowns in other countries. This daily updated CO2 emission dataset could offer a range of opportunities for related scientific research and policy making. |
资助项目 | Qiushi Foundation ; Resnick Sustainability Institute at California Institute of Technology ; Natural Science Foundation of Beijing[JQ19032] ; National Natural Science Foundation of China[71874097] ; National Natural Science Foundation of China[41921005] |
WOS关键词 | DIOXIDE EMISSIONS ; COAL COMBUSTION ; UNCERTAINTIES ; INVENTORY |
WOS研究方向 | Science & Technology - Other Topics |
语种 | 英语 |
出版者 | NATURE RESEARCH |
WOS记录号 | WOS:000591845600001 |
资助机构 | Qiushi Foundation ; Resnick Sustainability Institute at California Institute of Technology ; Natural Science Foundation of Beijing ; National Natural Science Foundation of China |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/156705] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Liu, Zhu; Ciais, Philippe; Davis, Steven J. |
作者单位 | 1.Univ Paris 09, PSL, Paris, France 2.Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China 3.Sorbonne Univ, CNRS, Inst Pierre Simon Laplace, Paris, France 4.Tsinghua Univ, Sch Math Sch, Beijing 100084, Peoples R China 5.Natl Inst Environm Studies, Ctr Global Environm Res, Tsukuba, Ibaraki, Japan 6.Ctr Hubei Cooperat Innovat Emiss Trading Syst, Wuhan, Peoples R China 7.Kunming Univ Sci & Technol, Fac Econ & Management, Kunming, Yunnan, Peoples R China 8.Nagoya Univ, Econ Res Ctr, Chikusa Ku, Furo Cho, Nagoya, Aichi, Japan 9.Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China 10.Univ Paris Saclay, Lab Sci Climat & Environm LSCE IPSL, CEA, CNRS,UVSQ, Gif Sur Yvette, France |
推荐引用方式 GB/T 7714 | Liu, Zhu,Ciais, Philippe,Deng, Zhu,et al. Carbon Monitor, a near-real-time daily dataset of global CO2 emission from fossil fuel and cement production[J]. SCIENTIFIC DATA,2020,7(1):12. |
APA | Liu, Zhu.,Ciais, Philippe.,Deng, Zhu.,Davis, Steven J..,Zheng, Bo.,...&Chevallier, Frederic.(2020).Carbon Monitor, a near-real-time daily dataset of global CO2 emission from fossil fuel and cement production.SCIENTIFIC DATA,7(1),12. |
MLA | Liu, Zhu,et al."Carbon Monitor, a near-real-time daily dataset of global CO2 emission from fossil fuel and cement production".SCIENTIFIC DATA 7.1(2020):12. |
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