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Jones, Matthew W. 
ORCID: https://orcid.org/0000-0003-3480-7980, Peters, Glen P., Gasser, Thomas, Andrew, Robbie M., Schwingshackl, Clemens, Gütschow, Johannes, Houghton, Richard A., Friedlingstein, Pierre, Pongratz, Julia and Le Quéré, Corinne ORCID: https://orcid.org/0000-0003-2319-0452
(2023)
National contributions to climate change due to historical emissions of carbon dioxide, methane, and nitrous oxide since 1850.
Scientific Data, 10.
ISSN 2052-4463
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Abstract
Anthropogenic emissions of carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) have made significant contributions to global warming since the pre-industrial period and are therefore targeted in international climate policy. There is substantial interest in tracking and apportioning national contributions to climate change and informing equitable commitments to decarbonisation. Here, we introduce a new dataset of national contributions to global warming caused by historical emissions of carbon dioxide, methane, and nitrous oxide during the years 1851–2021, which are consistent with the latest findings of the IPCC. We calculate the global mean surface temperature response to historical emissions of the three gases, including recent refinements which account for the short atmospheric lifetime of CH4. We report national contributions to global warming resulting from emissions of each gas, including a disaggregation to fossil and land use sectors. This dataset will be updated annually as national emissions datasets are updated.
| Item Type: | Article |
|---|---|
| Additional Information: | Funding information: This work was principally funded by the European Commission Horizon 2020 (H2020) VERIFY project (no. 776810). M.W.J. further acknowledges the support of the UK Natural Environment Research Council (NERC; no. NE/V01417X/1). G.P.P. further acknowledges the support of the H2020 4 C project (no. 821003) and the H2020 PARIS REINFORCE project (no. 820846). R.M.A. further acknowledges the support of the H2020 4 C project (no. 821003). T.G. was funded by the H2020 ESM2025 project (no. 101003536). P.F. was funded by the H2020 4 C project (no. 821003). C.L.Q. was funded by the UK Royal Society (grant no. RP\R1\191063). |
| Uncontrolled Keywords: | information systems,education,library and information sciences,statistics and probability,computer science applications,statistics, probability and uncertainty,sdg 15 - life on land,sdg 13 - climate action ,/dk/atira/pure/subjectarea/asjc/1700/1710 |
| 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 > Centre for Ocean and Atmospheric Sciences Faculty of Science > Research Groups > Climatic Research Unit |
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| Depositing User: | LivePure Connector |
| Date Deposited: | 05 Apr 2023 15:31 |
| Last Modified: | 18 Nov 2023 01:37 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/91748 |
| DOI: | 10.1038/s41597-023-02041-1 |
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