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Preprints
https://doi.org/10.5194/essd-2020-103
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-103
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  03 Jun 2020

03 Jun 2020

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This preprint is currently under review for the journal ESSD.

A global anthropogenic emission inventory of atmospheric pollutants from sector- and fuel-specific sources (1970–2017): An application of the Community Emissions Data System (CEDS)

Erin E. McDuffie1,2, Steven J. Smith3, Patrick O'Rourke3, Kushal Tibrewal4, Chandra Venkataraman4, Eloise A. Marais5, Bo Zheng6, Monica Crippa7, Michael Brauer8,9, and Randall V. Martin2,1 Erin E. McDuffie et al.
  • 1Department of Physics and Atmospheric Science, DalhousieUniversity, Halifax, NS, Canada
  • 2Department of Energy, Environmental, and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
  • 3Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USA
  • 4Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India
  • 5Schoolof Physics and Astronomy, University of Leicester, Leicester, UK
  • 6State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, People’s Republic of China
  • 7European Commission, Joint Research Centre (JRC), Via E. Fermi 2749 (T.P. 123), 21027 Ispra, Varese, Italy
  • 8School of Population and Public Health, University of British Columbia,Vancouver, BC, Canada
  • 9Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA

Abstract. Global anthropogenic emission inventories remain vital for understanding the fate and transport of atmospheric pollution, as well as the resulting impacts on the environment, human health, and society. Rapid changes in today’s society require that these inventories provide contemporary estimates of multiple atmospheric pollutants with both source sector and fuel-type information to understand and effectively mitigate future impacts. To fill this need, we have updated the open-source Community Emissions Data System (CEDS) (Hoesly et al., 2019) to develop a new global emission inventory, CEDSGBD-MAPS. This inventory includes emissions of seven key atmospheric pollutants (NOx, CO, SO2, NH3, NMVOCs, BC, OC) over the time period from 1970–2017 and reports annual country-total emissions as a function of 11 anthropogenic sectors (agriculture, energy generation, industrial processes, transportation (on-road and non-road), residential, commercial, and other sectors (RCO), waste, solvent use, and international-shipping) and four fuel categories (total coal, solid biofuel, and the sum of liquid fuels and natural gas combustion, plus remaining process-level emissions). The CEDSGBD-MAPS inventory additionally includes global gridded (0.5°×0.5°) emission fluxes with monthly time resolution for each compound, sector, and fuel-type to facilitate their use in earth system models. CEDSGBD-MAPS utilizes updated activity data, updates to the core CEDS default calibration procedure, and modifications to the final procedures for emissions gridding and aggregation to retain sector and fuel-specific information. Relative to the previous CEDS data released for CMIP6 (Hoesly et al., 2018), these updates extend the emission estimates from 2014 to 2017 and improve the overall agreement between CEDS and two widely used global bottom-up emission inventories. The CEDSGBD-MAPS inventory provides the most contemporary global emission estimates to-date for these key atmospheric pollutants and is the first to provide global estimates for these species as a function of multiple fuel-types across multiple source sectors. Dominant sources of global NOx and SO2 emissions in 2017 include the combustion of oil, gas, and coal in the energy and industry sectors, as well as on-road transportation and international shipping for NOx. Dominant sources of global CO emissions in 2017 include on-road transportation and residential biofuel combustion. Dominant global sources of carbonaceous aerosol in 2017 include residential biofuel combustion, on-road transportation (BC only), as well as emissions from waste. Global emissions of NOx, SO2, CO, BC, and OC all peak in 2012 or earlier, with more recent emission reductions driven by large changes in emissions from China, North America, and Europe. In contrast, global emissions of NH3 and NMVOCs continuously increase between 1970 and 2017, with agriculture serving as a major source of global NH3 emissions and solvent use, energy, residential, and the on-road transport sectors as major sources of global NMVOCs. Due to similar development methods and underlying datasets, the CEDSGBD-MAPS emissions are expected to have consistent sources of uncertainty as other bottom-up inventories, including uncertainties in the underlying activity data and sector- and region-specific emission factors. The CEDSGBD-MAPS source code is publicly available online through GitHub: https://github.com/emcduffie/CEDS/tree/CEDS_GBD-MAPS. The CEDSGBD-MAPS emission inventory dataset (both annual country-total and global gridded files) is publicly available and registered under: https://doi.org/10.5281/zenodo.3754964 (McDuffie et al., 2020).

Erin E. McDuffie et al.

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Erin E. McDuffie et al.

Data sets

CEDS_GBD-MAPS: Global Anthropogenic Emission Inventory of NOx, SO2, CO, NH3, NMVOCs, BC, and OC from 1970-2017 E. McDuffie, S. Smith, P. O'Rourke, K. Tibrewal, C. Venkataraman, E. Marais, B. Zheng, M. Crippa, M. Brauer, and M. Randall https://doi.org/10.5281/zenodo.3754964

CEDS_GBD-MAPS: Data Snapshot (2014 - 2015) E. McDuffie, S. Smith, P. O'Rourke, K. Tibrewal, C. Venkataraman, E. Marais, B. Zheng, M. Crippa, M. Brauer, and M. Randall https://doi.org/10.5281/zenodo.3833935

Model code and software

emcduffie/CEDS: CEDS_GBD-MAPS_SourceCode_2020_v1.0 E. McDuffie, R. Hoesly, P. O'Rourke, C. Braun, L. Feng, S. J. Smith, T. Pitkanen, J. J. Seibert, L. Vu, P. Muwan, R. Bolt, B. Goldstein, and N. Kholod https://doi.org/10.5281/zenodo.3865670

Erin E. McDuffie et al.

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Short summary
Global emission inventories are vital to understand the impacts of air pollution on the environment, human health, and society. We update the open-source Community Emissions Data System (CEDS) to provide global emissions of 7 key air pollutants (NOx, SO2, CO, NH3, NMVOCs, BC, OC) from 1970–2017 for 11 source sectors and multiple fuel-types, including coal, solid biofuel, and liquid oil and natural gas. This dataset provides the most contemporary global emissions of these compounds to-date.
Global emission inventories are vital to understand the impacts of air pollution on the...
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