Li, Tao, Wang, Lixing, Qiu, Zihan, Ciais, Philippe, Davis, Steven J., Deng, Zhu, Zhao, Yufei, Peters, Glen P., Ke, Piyu, Jones, Matthew W., Andrew, Robbie M., Hao, Ye, Sun, Taochun, Huang, Xiaoting, Jackson, Robert B., Friedlingstein, Pierre, Lu, Chenxi, Cui, Duo and Liu, Zhu (2026) Global daily CO2 emissions from 1970 to 2024. Scientific Data, 13 (1). ISSN 2052-4463
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Abstract
As extreme temperature events become increasingly frequent, there is a growing need for daily CO 2 emissions data to quantify their impacts. However, such data are available only from 2019 onward. To address this gap, we compiled over two million near-real-time observations of electricity generation, traffic activity, natural gas consumption or heating degree days (HDD), and industrial output since 2019, and used these high-frequency data to construct a daily CO 2 emissions dataset for 2019–2024. We then applied machine-learning models and degree-day methods to disaggregate non-residential and residential monthly CO 2 emissions for 1970–2018 to a daily basis. The historical dataset was then merged with the 2019–2024 dataset to produce a global daily CO 2 emissions dataset spanning 1970 to 2024 for 14 countries and regions, covering four sectors: power, industry, residential, and transport (including ground transport and aviation). The resulting long-term dataset will enable robust analyses of extreme-temperature impacts on emissions and enhance the accuracy of chemical transport model inversions of carbon fluxes.
| Item Type: | Article |
|---|---|
| Faculty \ School: | Faculty of Science > School of Environmental Sciences University of East Anglia Research Groups/Centres > Theme - ClimateUEA |
| UEA Research Groups: | University of East Anglia Schools > Faculty of Science > Tyndall Centre for Climate Change Research Faculty of Science > Research Centres > Tyndall Centre for Climate Change Research Faculty of Science > Research Groups > Climatic Research Unit |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 14 May 2026 15:15 |
| Last Modified: | 17 May 2026 05:38 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/103023 |
| DOI: | 10.1038/s41597-026-06621-9 |
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