Historical emission estimates for anthropogenic aerosol and precursor compounds are key data needed for Earth system, climate, atmospheric chemistry, and transport models, as well as for economic and energy models. Historical emissions data are used both for general analysis and assessment and also for model validation through comparisons with observations. The core CEDS project is funded by the US Department of Earth and Environmental System Modeling (EESM) Program. Sub-regional detail and use of satellite datasets is funded by NASA’s Atmospheric Composition Modeling and Analysis Program (ACMAP).
The CEDS project has built a data-driven, open source framework that produces global emission estimates for research and analysis. The data system produces emission estimates by country, sector, and fuel with the following characteristics:
The CEDS public gitHub repository contains the latest public release of R code, input files, documentation, issues tracking, and links to the latest data.
We welcome collaboration in improving the inventory data. Our collaboration policy is described on our gitHub repository home page.
To receive updates on project progress and notice of opportunities for participation you can sign up for an information distribution list. (This list will be used only for CEDS-related information and e-mail addresses will not be shared or distributed.) To subscribe to the listserv, please send an email with the email body: “subscribe cedsinfo”. Visit the listserv. You do not have to be registered to view the archive on the website.
Known issues with the current CEDS data (both aggregate and gridded) are documented at the gitHub repository. If you find an issue with the current CEDS data, please post an issue using the “Issues” tab of the repository so that that information is publicly available and can be addressed.
Also see the Emissions-MIP page for information on this related project, which aims to determine which aspects of aerosol and precursor emissions impact model results.
Hoesly, R. M., Smith, S. J., Feng, L., Klimont, Z., Janssens-Maenhout, G., Pitkanen, T., Seibert, J. J., Vu, L., Andres, R. J., Bolt, R. M., Bond, T. C., Dawidowski, L., Kholod, N., Kurokawa, J.-I., Li, M., Liu, L., Lu, Z., Moura, M. C. P., O’Rourke, P. R., and Zhang, Q.: Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS), Geosci. Model Dev., 11, 369-408, https://doi.org/10.5194/gmd-11-369-2018, 2018.
(See CEDS CMIP6 details on data availability.)
Hoesly R.M. and S.J. Smith. 2018. “Informing energy consumption uncertainty: an analysis of energy data revisions.” Environ. Res. Lett. 13 124023.https://doi.org/10.1088/1748-9326/aaebc3
Feng, L., Smith, S. J., Braun, C., Crippa, M., Gidden, M. J., Hoesly, R., Klimont, Z., van Marle, M., van den Berg, M., and van der Werf, G. R.: The Generation of Gridded Emissions Data for CMIP6 (2020) Geosci. Model Dev., 13, 461–482, https://doi.org/10.5194/gmd-13-461-2020 .
Smith, S. J., McDuffie, E. E., and Charles, M.: Opinion: Coordinated development of emission inventories for climate forcers and air pollutants, Atmos. Chem. Phys., 22, 13201–13218, https://doi.org/10.5194/acp-22-13201-2022 .