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Updated: Feb 26, 2026

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Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
Published on: October 21, 2016
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Global daily CO2 emissions from 1970 to 2024
Tao Li1, Lixing Wang1, Zihan Qiu2
1Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
Scientific Data
|February 24, 2026
Summary
Extreme temperature events necessitate daily carbon dioxide (CO2) emissions data. This study constructs a long-term daily CO2 dataset from 1970-2024 using high-frequency activity and machine learning, filling a critical data gap.
Area of Science:
- Environmental Science
- Climate Science
- Data Science
Background:
- Extreme temperature events are increasing in frequency globally.
- Daily carbon dioxide (CO2) emissions data are crucial for impact assessment but are only available from 2019.
- A significant data gap exists for historical daily CO2 emissions.
Purpose of the Study:
- To create a comprehensive, long-term daily CO2 emissions dataset spanning 1970-2024.
- To enable detailed analysis of extreme temperature event impacts on CO2 emissions.
- To improve the accuracy of carbon flux estimations using chemical transport models.
Main Methods:
- Compiled over two million near-real-time observations (electricity, traffic, gas, industry) from 2019-2024.
- Developed a daily CO2 emissions dataset for 2019-2024 using high-frequency activity data.
- Applied machine learning and degree-day methods to disaggregate monthly emissions (1970-2018) to a daily basis.
Main Results:
- Generated a global daily CO2 emissions dataset for 14 countries/regions from 1970 to 2024.
- The dataset covers four key sectors: power, industry, residential, and transport (including aviation).
- The merged dataset provides unprecedented temporal resolution for emissions analysis.
Conclusions:
- The new long-term daily CO2 emissions dataset addresses a critical need for climate impact research.
- This dataset will enhance the understanding of extreme temperature effects on emissions.
- Improved emissions data will refine carbon flux inversion models and climate change assessments.
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