Published April 5, 2024 | Version 2024.1
Dataset Open

Fossil Fuel CO₂ Emissions for the OCO2 Model Intercomparison Project (MIP)

  • 1. University of Maryland, College Park, MD, USA
  • 2. Environment & Climate Change Canada, Toronto, Ontario, Canada

Description

These are fossil CO2 fluxes updated through February 2024 for atmospheric CO2 modeling. They were constructed primarily to be used for the OCO2 Model Intercomparison Project (MIP).

  • For 2000-2021, they're based on ODIAC 2022, which in turn uses BP's energy use statistics for 2020 and 2021.
  • ODIAC monthly emissions have been disaggregated to hourly using the TIMES emission factors for day of week and time of day (https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2012JD018196).
  • For 2022-2024, ODIAC's 2021 emissions have been scaled by the ratio of that year to 2021 emissions reported by Carbon Monitor, downloaded on April 4, 2024 from https://carbonmonitor.org/.
    • ODIAC does not have sectoral decomposition to the degree provided by Carbon Monitor, so total ODIAC emissions for each region have been scaled by the total emission change between 2021 and each extended year reported by Carbon Monitor, i.e., power, ground transport, etc. have not been separately scaled.
    • Carbon Monitor data are daily, but ODIAC emissions are monthly. So Carbon Monitor data have been aggregated to monthly totals before deriving scaling factors between 2021 and the extended years.
    • Carbon Monitor reports international aviation emissions by country of origin, while ODIAC reports aviation emissions on a grid. Since there is no way to derive the points of emission for Carbon Monitor aviation emissions , all Carbon Monitor international aviation was aggregated to create a single number for each month, then  that number was used to scale ODIAC's bunker fuel for each month in 2022-2024.
  • Hourly global totals are given in the files as a check, in case you want to verify your units and file reading.

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Additional details

Related works

Cites
Journal article: 10.1038/s41597-020-00708-7 (DOI)
Journal article: 10.1029/2012JD018196 (DOI)
Is derived from
Dataset: 10.17595/20170411.001 (DOI)