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.
CEDS gitHub Site
The CEDS public gitHub repository contains the latest public release of R code, input files, documentation and issues tracking. Known issues with the current data release are also being tracked there. If you find an issue with the current CEDS data, please post an issue using the “Issues” tab of the repository.
The CEDS project is building a data-driven, open source framework that produces annual emission estimates for research and analysis.
The data system produces emission estimates by country, sector, and fuel with the following characteristics:
- Annual estimates of anthropogenic emissions (not including open burning) to latest full calendar year over the entire industrial era. Readily updated every year.
- Emission species: aerosol (BC, OC) and aerosol precursor and reactive compounds (SO2, NOx, NH3, CH4, CO, NMVOC) and CO2 (as reference)
- Seasonal cycle (monthly) and aggregate NMVOCs by sector/sub-sector
- Gridded emissions (up to 0.1°)
- State/province spatial detail for large countries – in progress
- The full data system has been released on GitHub for community use.
- Historical gridded emissions data for use in the Coupled Model Inter-comparison Project Phase 6 (CMIP6) has been released through the Earth System Grid Federation. More details, including data access information and supplemental information is available at the CEDS CMIP6 page.
- A Journal Article describing the data and methodology has been published in CMIP6 special issue of Geoscientific Model Development. (Note that the most up to date methodology documentation is available on-line at the project gitHub site.)
- We are working on an update that will update historical assumptions and extend emissions to 2018.
- Uncertainty estimates produced as time series ensembles are also in preparation.
- We are also working, in collaboration with scientists at GSFC, to add additional sectoral detail and incorporate satellite emission estimates.
CEDS E-mail list: 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 to firstname.lastname@example.org with the email body: “subscribe cedsinfo”. You can also go directly to the website for the listserv at: https://listserv.umd.edu/archives/cedsinfo.html. You do not have to be registered to view the archive on the website.
CEDS Issues at the gitHub repository: Known issues with the current CEDS data (both aggregate and gridded) are documented there. 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.
As noted at our gitHub repository, we welcome collaboration.
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).
See the CEDS CMIP6 Page for 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