DOI: 10.5281/zenodo.7076347
title: National contributions to climate change due to historical emissions of carbon dioxide, methane and nitrous oxide

description: <strong>Background</strong> A dataset describing the global warming response to national emissions CO<sub>2</sub>, CH<sub>4</sub> and N<sub>2</sub>O from fossil and land use sources during 1871-2021. National CO<sub>2 </sub>emissions data are collated from the Global Carbon Project (Andrew and Peters, 2022; Friedlingstein et al., 2022). National CH<sub>4</sub> and N<sub>2</sub>O 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 CH<sub>4</sub> and N<sub>2</sub>O 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 (CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O or 3-GHG total) and source (fossil emissions of land use emissions). A complete description of the dataset is under consideration for publication. A link will be provided here upon publication. <strong>Data records: overview</strong> 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 <em>Data</em> column for each combination of the categorical variables <em>Year, Country Name, Country ISO3 code, Gas, and Component</em> columns. <em>Component</em> specifies fossil emissions, LULUCF emissions or total emissions of the gas. <em>Gas</em> specifies CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O or the three-gas total (labelled 3-GHG). <em>Country ISO3 codes</em> are specifically the unique ISO 3166-1 alpha-3 codes of each country. <strong>Data records: specifics</strong> <em>EMISSIONS_ANNUAL_1850-2021.csv:</em> <em>Data </em>includes annual emissions of CO<sub>2</sub> (Pg CO<sub>2</sub> year<sup>-1</sup>), CH<sub>4</sub> (Tg CH<sub>4</sub> year<sup>-1</sup>) and N<sub>2</sub>O (Tg N<sub>2</sub>O year<sup>-1</sup>) during 1850-2021. The <em>Data</em> column provides values for every combination of the categorical variables. <em>EMISSIONS_CUMULATIVE_CO2e100_1871-2021.csv: Data </em>includes the cumulative CO<sub>2</sub> equivalent emissions in units Pg CO<sub>2</sub>-e<sub>100</sub> during 1871-2021. The <em>Data</em> column provides values for every combination of the categorical variables. <em>GMST_response_1871-2021.csv:</em> <em>Data</em> includes the change in global mean surface temperature (GMST) due to emissions of the three gases during 1871-2021 in units °C. The <em>Data</em> column provides values for every combination of the categorical variables. <strong>Accompanying Code</strong> Code is available at: https://github.com/jonesmattw/National_Warming_Contributions . The code requires Input.zip to run (see README at the GitHub link). <strong>Further info: Country Groupings</strong> 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) as defined by the UNFCCC. 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.
description: 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).
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