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Annual Fossil-Fuel CO2 Emissions: Mass of Emissions Gridded by One Degree Latitude by One Degree Longitude

dataV2013 Data   image V2013 Documentation

dataV2012 Data   image V2012 Documentation

dataV2011 Data   image V2011 Documentation

dataV2010 Data   image V2010 Documentation

dataV2009 Data   image V2009 Documentation

PDF file Original documentation (NDP058)

DOI: 10.3334/CDIAC/ffe.ndp058.2013

Note: Version V2009 was the version used in the IPCC WGI AR5.

Contributors

R.J. Andres and T.A. Boden
Carbon Dioxide Information Analysis Center
Oak Ridge National Laboratory

G. Marland
Research Institute for Environment, Energy and Economics
Appalachian State University

The 2013 version of this database presents a time series recording 1° latitude by 1° longitude CO2 emissions in units of million metric tons of carbon per year from anthropogenic sources for 1751-2010. Detailed geographic information on CO2 emissions can be critical in understanding the pattern of the atmospheric and biospheric response to these emissions. Global, regional, and national annual estimates for 1751 through 2010 were published earlier (Boden et al. 2013). Those national, annual CO2 emission estimates were based on statistics about fossil-fuel burning, cement manufacturing and gas flaring in oil fields as well as energy production, consumption, and trade data, using the methods of Marland and Rotty (1984). The national annual estimates were combined with gridded 1° data on political units and 1984 human populations to create the new gridded CO2 emission time series. The same population distribution was used for each of the years as proxy for the emission distribution within each country. The implied assumption for that procedure was that per capita energy use and fuel mixes are uniform over a political unit. The consequence of this first-order procedure is that the spatial changes observed over time are solely due to changes in national energy consumption and nation-based fuel mix. Increases in fossil-fuel CO2 emissions over time are apparent for most areas.