Global sectoral daily CO<sub>2</sub> emissions from 1970 to 2024
View DatasetLi, Tao;Wang, Lixing;Qiu, Zihan;Ciais, Philippe;J. Davis, Steven;Deng, Zhu;Zhao, Yufei;P. Peters, Glen;Ke, Piyu;W. Jones, Matthew;M. Andrew, Robbie;Hao, Ye;Sun, Taochun;B. Jackson, Robert;Huang, Xiaoting;Friedlingstein, Pierre;Lu, Chenxi;CUi, Duo;Liu, Zhu
Description
By collecting over two million records of near-real-time electricity generation, traffic, and industrial output since 2019, and employing machine learning to simulate the nonlinear, time-varying relationships between emissions and predictors (i.e., temperature and time surrogates), we constructed a daily CO2 emissions dataset for 13 countries and regions globally, spanning the period from 1970 to 2024. This dataset encompasses four sectors: power, industry, residential, and transport (including ground transport and aviation).
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Metrics Over Time
Publication Details
DOI
Publisher
figshare
Subfield
Automotive Engineering
Field
Engineering
Domain
Physical Sciences
Confidence Score
43%
Source
Scholar Data Model
Keywords
Carbon sequestration science