January 17, 2021 Dataset Open Access

Robin Lamboll; Piers Forster; Joeri Rogelj

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4446167", 
  "language": "eng", 
  "title": "Monthly aerosol emissions and GHG concentration projections from 2020-2025: modified SSP2-4.5 to account for COVID-19 impacts on sector activity", 
  "issued": {
    "date-parts": [
      [
        2021, 
        1, 
        17
      ]
    ]
  }, 
  "abstract": "<p>This repository holds the netcdf files for emissions and concentrations projected by the scenario SSP2-4.5, from the Scenario4MIPs database (<a href=\"https://esgf-node.llnl.gov/search/input4mips/\">https://esgf-node.llnl.gov/search/input4mips/</a>), modified by the country and sector activity levels associated with lockdown, projected out for 5&nbsp;years after 2020. The details of these activity estimates are available from&nbsp;<a href=\"https://github.com/Priestley-Centre/COVID19_emissions\">https://github.com/Priestley-Centre/COVID19_emissions</a>.</p>\n\n<p>The&nbsp;methodology behind these calculations is based on&nbsp;<a href=\"https://github.com/Rlamboll/modify_COVID19_netCDF_Emissions/\">https://github.com/Rlamboll/modify_COVID19_netCDF_Emissions/tree/endof2020</a>, a slight modification of the approach used in&nbsp;<a href=\"https://zenodo.org/record/3947917#.XxR_qyhKhPZ\">https://zenodo.org/record/3947917#.XxR_qyhKhPZ</a>&nbsp;to have a different timeframe.&nbsp;</p>\n\n<p>Funding was provided by the European Union&rsquo;s Horizon 2020 Research and Innovation Programme under grant agreement nos. 820829 (CONSTRAIN)&nbsp;<a href=\"http://constrain-eu.org/\">http://constrain-eu.org/</a>&nbsp;</p>", 
  "author": [
    {
      "family": "Robin Lamboll"
    }, 
    {
      "family": "Piers Forster"
    }, 
    {
      "family": "Joeri Rogelj"
    }
  ], 
  "note": "This database is labelled as v5.0 by correspondence to the family of databases around https://zenodo.org/record/3957826. It uses historical data available until the end of 2020.", 
  "version": "5.0", 
  "type": "dataset", 
  "id": "4446167"
}