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Published February 13, 2023 | Version 2023.1
Dataset Open

National contributions to climate change due to historical emissions of carbon dioxide, methane and nitrous oxide

  • 1. Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia (UEA), Norwich, UK
  • 2. CICERO Center for International Climate Research, Oslo, Norway
  • 3. International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
  • 4. Ludwig Maximilian University of Munich, Munich, Germany
  • 5. Department of Transformation Pathways, Potsdam Institute for Climate Impact Research, Potsdam, Germany
  • 6. Woodwell Climate Research Center, Falmouth MA, USA
  • 7. College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK
  • 8. Max Planck Institute for Meteorology, Hamburg, Germany

Description

A complete description of the dataset is given by Jones et al. (2023). Key information is provided below.

Background

A dataset describing the global warming response to national emissions CO2, CH4 and N2O from fossil and land use sources during 1851-2021.

National COemissions data are collated from the Global Carbon Project (Andrew and Peters, 2022; Friedlingstein et al., 2022). 

National CH4 and N2O emissions data are collated from PRIMAP-hist (HISTTP) (Gütschow et al., 2022).

We construct a time series of cumulative CO2-equivalent emissions for each country, gas, and emissions source (fossil or land use). Emissions of CH4 and N2O emissions are related to cumulative CO2-equivalent emissions using the Global Warming Potential (GWP*) approach, with best-estimates of the coefficients taken from the IPCC AR6 (Forster et al., 2021).

Warming in response to cumulative CO2-equivalent emissions is estimated using the transient climate response to cumulative carbon emissions (TCRE) approach, with best-estimate value of TCRE taken from the IPCC AR6 (Forster et al., 2021, Canadell et al., 2021). 'Warming' is specifically the change in global mean surface temperature (GMST).

The data files provide emissions, cumulative emissions and the GMST response by country, gas (CO2, CH4, N2O or 3-GHG total) and source (fossil emissions, land use emissions or the total).

Data records: overview

The data records include three comma separated values (.csv) files as described below.

All files are in ‘long’ format with one value provided in the Data column for each combination of the categorical variables Year, Country Name, Country ISO3 code, Gas, and Component columns.

Component specifies fossil emissions, LULUCF emissions or total emissions of the gas.

Gas specifies CO2, CH4, N2O or the three-gas total (labelled 3-GHG).

Country ISO3 codes are specifically the unique ISO 3166-1 alpha-3 codes of each country.

Data records: specifics

EMISSIONS_ANNUAL_1830-2021.csv: Data includes annual emissions of CO2 (Pg CO2 year-1), CH4 (Tg CH4 year-1) and N2O (Tg N2O year-1) during 1830-2021. The Data column provides values for every combination of the categorical variables. 

EMISSIONS_CUMULATIVE_CO2e100_1851-2021.csv: Data includes the cumulative CO2 equivalent emissions in units Pg CO2-e100 during 1851-2021. The Data column provides values for every combination of the categorical variables. 

GMST_response_1851-2021.csv: Data includes the change in global mean surface temperature (GMST) due to emissions of the three gases during 1851-2021 in units °C. The Data column provides values for every combination of the categorical variables. 

Accompanying Code

Code is available at: https://github.com/jonesmattw/National_Warming_Contributions .

The code requires Input.zip to run (see README at the GitHub link).

Further info: Country Groupings

We also provide estimates of the contributions of various country groupings as defined by the UNFCCC:

  • Annex I countries (number of countries, n = 42)
  • Annex II countries (n = 23)
  • economies in transition (EITs; n = 15)
  • the least developed countries (LDCs; n = 47)
  • the like-minded developing countries (LMDC; n = 24).

And other country groupings:

  • the organisation for economic co-operation and development (OECD; n = 38)
  • the European Union (EU27 post-Brexit)
  • the Brazil, South Africa, India and China (BASIC) group.

See COUNTRY_GROUPINGS.xlsx for the lists of countries in each group.

Notes

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 4C project (no. 821003) and the H2020 PARIS REINFORCE project (no. 820846). R.M.A. further acknowledges the support of the H2020 4C project (no. 821003). T.G. was funded by the H2020 ESM2025 project (no. 101003536). P.F. was funded by the H2020 4C project (no. 821003). C.L.Q. was funded by the UK Royal Society (grant no. RP\R1\191063).

Files

EMISSIONS_ANNUAL_1830-2021.csv

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Additional details

Related works

Cites
Dataset: 10.5281/zenodo.7215364 (DOI)
Dataset: 10.5281/zenodo.7179775 (DOI)
Journal article: 10.5194/essd-14-4811-2022 (DOI)
Is described by
Journal article: 10.1038/s41597-023-02041-1 (DOI)

Funding

VERIFY – Observation-based system for monitoring and verification of greenhouse gases 776810
European Commission
4C – Climate-Carbon Interactions in the Current Century 821003
European Commission
PARIS REINFORCE – Delivering on the Paris Agreement: A demand-driven, integrated assessment modelling approach 820846
European Commission
Climate change impacts on global wildfire ignitions by lightning and the safe management of landscape fuels NE/V01417X/1
UK Research and Innovation

References

  • Jones, M. W. et al. National contributions to climate change due to historical emissions of carbon dioxide, methane and nitrous oxide, Sci. Data (2023)
  • Andrew, R. M. & Peters, G. P. The Global Carbon Project's fossil CO2 emissions dataset. (2022) doi:10.5281/zenodo.7215364
  • Friedlingstein, P. et al. Global Carbon Budget 2022. Earth Syst. Sci. Data 14, 4811–4900 (2022).
  • Gütschow, J. & Pflüger, M. The PRIMAP-hist national historical emissions time series (1750-2021) v2.4. (2022) doi:10.5281/zenodo.7179775.
  • Forster, P. et al. The Earth's Energy Budget, Climate Feedbacks, and Climate Sensitivity. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 923–1054, doi:10.1017/9781009157896.009. (2021).
  • Canadell, J. G. et al. Global Carbon and other Biogeochemical Cycles and Feedbacks. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 673–816, doi: 10.1017/9781009157896.007. (2021).