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Title: Emissions changes in 2020 due to Covid19

Type Dataset Piers Forster, Robin Lamboll, Joeri Rogelj (2021): Emissions changes in 2020 due to Covid19. Zenodo. Dataset. https://zenodo.org/record/4603979

Authors: Piers Forster (University of Leeds) ; Robin Lamboll (Imperial College) ; Joeri Rogelj (Imperial College) ;

Links

Summary

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, & 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

For more info

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

 

More information

  • DOI: 10.5281/zenodo.4603979
  • Language: en

Subjects

  • Climate, Covid, emissions

Dates

  • Publication date: 2021
  • Issued: March 15, 2021

Notes

Other: 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.

Rights


Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Funding Information

AwardnumberAwarduriFunderidentifierFunderidentifiertypeFundername
820829info:eu-repo/grantAgreement/EC/H2020/820829/10.13039/100010661Crossref Funder IDEuropean Commission

Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsVersionOfhttps://doi.org/10.5281/zenodo.3826750
IsPartOfhttps://zenodo.org/communities/zenodo