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Calculate spatial distributions of emissions with modifications from COVID19

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Modifying emission and concentration data in response to the COVID-19 pandemic

This repository takes a set of data from input4mips (https://esgf-node.llnl.gov/search/input4mips/) and modification factors from https://github.com/Priestley-Centre/COVID19_emissions to output netCDF files suitable for use after the pandemic. The modification factors are taken from the Priestly github data, which is assumed to be in a sister folder to this folder, entitled "COVID19_emissions_data". The input netcdf files are assumed to be in the "input" folder.

The files modified are as follows:

  • lat/longitude gridded aerosol/precursor emissions by grid location and sector,
    • will be modified by country activity levels
    • will have extra years interpolated (2019 as pre-intervention interpolation, 2021 as modified by the emissions blip, 2023 as modified by long-term behaviour)
    • requires the following files in "input/aerosols": "{}-em-anthro_input4MIPs_emissions_ScenarioMIP_IAMC-MESSAGE-GLOBIOM-ssp245-1-1_gn_201501-210012.nc" for {} = BC, CO, NH3, NOx, NMVOC, OC, SO2
  • hemispheric and global well-mixed GHG emissions
    • will be modified only by global concentration levels
    • no interpolated years needed
    • requires the files in "input": "mole-fraction-of-{}-in-ar_input4MIPs_GHGConcentrations_ScenarioMIP_UoM-MESSAGE-GLOBIOM-ssp245-1-2-1_gr1-GMNHSH_201501-250012.nc" for {} = carbon-dioxide, methane, nitrous-oxide.
  • lat/long/altitude gridded aviation emissions for NOx.
    • will be modified by global flight level
    • will have extra years interpolated (2019 as pre-intervention, 2021 as continued emissions blip, 2022 as return to baseline, 2023 as baseline)

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