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A comprehensive and synthetic dataset for global, regional and national greenhouse gas emissions by sector 1970-2018 with an extension to 2019
A comprehensive and synthetic dataset for global, regional and national greenhouse gas emissions by sector 1970-2018 with an extension to 2019
Comprehensive and reliable information on anthropogenic sources of greenhouse gas emissions is required to track progress towards keeping warming well below 2��C as agreed upon in the Paris Agreement. Here we provide a dataset on anthropogenic GHG emissions 1970-2019 with a broad country and sector coverage. We build the dataset from recent releases from the ���Emissions Database for Global Atmospheric Research��� (EDGAR) for CO2 emissions from fossil fuel combustion and industry (FFI), CH4 emissions, N2O emissions, and fluorinated gases and use a well-established fast-track method to extend this dataset from 2018 to 2019. We complement this with information on net CO2 emissions from land use, land-use change and forestry (LULUCF) from three available bookkeeping models.
The metadata in the previous version (#4) indicated that AR5 100 year global warming potentials (GWPs) were applied. This was incorrect. The metadata has been corrected, and both AR5 and AR6 100 year GWPs are now included as variables for convenient switching between metrics.
- Ludwig-Maximilians-Universität München Germany
- Auburn University United States
- University of Paris-Saclay France
- Laboratoire des Sciences du Climat et de l'Environnement France
- Auburn University United States
CH4 emissions, N2O emissions, LULUCF emissions, Greenhouse gas emissions, Climate change, CO2 emissions, Fluorinated gas emissions
CH4 emissions, N2O emissions, LULUCF emissions, Greenhouse gas emissions, Climate change, CO2 emissions, Fluorinated gas emissions
3 Research products, page 1 of 1
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
