Dataset Open Access

# Emissions changes in 2020 due to Covid19

Piers Forster; Robin Lamboll; Joeri Rogelj

### Dublin Core Export

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<dc:creator>Piers Forster</dc:creator>
<dc:creator>Robin Lamboll</dc:creator>
<dc:creator>Joeri Rogelj</dc:creator>
<dc:date>2021-03-15</dc:date>
<dc:description>Emissions and climate effects due to the COVID-19 response

Monthly emissions and concentrations for the effects of the Covid-19 pandemic and resulting society response. All scenarios should be compared to the input4MIPS SSP245 baseline https://esgf-node.llnl.gov/search/input4mips/

We provide sector and national emission files as well as the code to create them from mobility data in national_level_lockdown_analysis.zip. Sector csv files have aviation and shipping by nation. National csv files have international aviation and shipping as a separate nation. See https://github.com/Priestley-Centre/COVID19_emissions for more details. The calculations relating these to the emissions netcdf files can be found at https://github.com/rlamboll/2dCOVID19Emissions/ and is detailed in https://gmd.copernicus.org/preprints/gmd-2020-373/.

Description of files

Monthly emissions of aerosols and precursors are saved directly here, zipped folders contain GHG concentrations and NOx emissions from aviation for the effects of the Covid-19 pandemic and resulting society response. All scenarios should be compared to the input4MIPS SSP245 baseline https://esgf-node.llnl.gov/search/input4mips/

Five scenarios are given for departures from the SSP2-4.5 baseline. The baseline is also provided for convenience, with timesteps available corresponding to both the 4-year blip and the 2-year blip. Scenarios depart from baseline after the start of 2020. Monthly concentrations of CO2, CH4 and N2O are provided over 2015-2050. For short-lived species emissions are provided for BC, CO, OC, SO2, NH3, NOx, &amp; NMVOCs. Monthly values for years:2015,2019,2020,2021,2023,2030,2040 and 2050 are provided for the four scenarios and baseline (2-year blip, strong and moderate green recovery and fossil fuel recovery). For the 4-year blip nad 4baseline, the years are 2015,2019,2020,2021,2022, 2023, 2025, 2030,2040 and 2050. The SSP245 baseline is also available from the input4MIPS website.

NOx emissions from aviation is provided in a zipped folder, with monthly values for years:2015,2019,2020, 2021, 2022, 2023,2030,2040 and 2050. Two files have these years only, (corresponding to 2-year blip and baseline) and two have data for 2024 too (corresponding to the 4-year blip, or baseline for it).

Well-mixed greenhouse gas emissions are provided for North, South and global average concentration of CO2, CH4 and N2O for all months 2015-2050

Funding was provided by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement nos. 820829 (CONSTRAIN) http://constrain-eu.org/

Contact Piers Forster  (p.m.forster@leeds.ac.uk) for more details. www.climate.leeds.ac.uk

Paper reference is

Forster, P.M., Forster, H.I., Evans, M.J. et al. Current and future global climate impacts resulting from COVID-19. Nat. Clim. Chang. (2020). https://doi.org/10.1038/s41558-020-0883-0

</dc:description>
<dc:description>Version 5 uses data until the end of Dec 2020, and contains a bugfix affecting the results for aerosols and precursors in Dec 2021. Version 5.1 contains a reanalysis affecting aerosols values in Dec 2020.</dc:description>
<dc:identifier>https://zenodo.org/record/4603979</dc:identifier>
<dc:identifier>10.5281/zenodo.4603979</dc:identifier>
<dc:identifier>oai:zenodo.org:4603979</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>info:eu-repo/grantAgreement/EC/H2020/820829/</dc:relation>
<dc:relation>doi:10.5281/zenodo.3826750</dc:relation>
<dc:relation>url:https://zenodo.org/communities/zenodo</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:subject>Climate</dc:subject>
<dc:subject>Covid</dc:subject>
<dc:subject>emissions</dc:subject>
<dc:title>Emissions changes in 2020 due to Covid19</dc:title>
<dc:type>info:eu-repo/semantics/other</dc:type>
<dc:type>dataset</dc:type>
</oai_dc:dc>

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