U.S. Department of Energy

Pacific Northwest National Laboratory

Community Emissions Data System (CEDS)

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The Community Emissions Data System (CEDS) uses existing emissions inventories, emissions factors, and activity/driver data to estimate annual country, sector, and fuel specific emissions over time.  First a default emission estimate is developed using IEA energy statistics and emissions factors, mostly derived from GAINS (combustion), EDGARv4.3 (non-combustion) and CDIAC (for CO2 emissions). Default estimates are scaled to match existing national and regional emissions inventories where available, complete, and plausible including (not limited to) national reporting to EMEP, MEIC, US EPA trends, and REAS. Scaled emissions estimates are extended back to 1750 by extending activity data and emission factors separately to produce a full trend from 1750 – 2014. Finally, gridded emissions with monthly seasonality and VOC speciation are produced from aggregate estimates at the country level using spatial proxy data (largely EDGAR gridded emissions) and distributed by 9 final gridded sectors. Detailed methodology, data, and assumptions are available in the main text and supplement of the accompanying journal article published in Geoscientific Model Development (Hoesly et al., 2017). The system is written using the open source R language.


Produced under funding from the U.S. Department of Energy.


This material was prepared as an account of work sponsored by an agency of the United States Government.  Neither the United States Government nor the United States Department of Energy, nor Battelle, nor any of their employees, nor any jurisdiction or organization that has cooperated in the development of these materials, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness or any information, apparatus, product, software, or process disclosed, or represents that its use would not infringe privately owned rights.

Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or Battelle Memorial Institute. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.


operated by


for the


under Contract DE-AC05-76RL01830

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