Global 1x1 Degree Distribution of Carbon Dioxide (CO2) Emissions from Fossil Fuel Consumption and Cement Manufacture, 1950-1990, IGBP/IGAC/GEIAEntry ID: GEIA_CO2
Abstract: The Global Emissions Inventory Activity (GEIA) is an activity of the
International Global Atmospheric Chemistry (IGAC) Core Project of the
International Geosphere-Biosphere Program (IGBP). The focus of GEIA is
to make global emissions available on a one degree grid.
One degree latitude by one degree longitude (1x1) datasets of carbon
dioxide (CO2) emissions from fossil fuel consumption and cement ... manufacture
were produced for 1950, 1960, 1970, 1980 and 1990. National estimates
of carbon emissions were combined with 1x1 datasets of political units
and human population density to create the new 1x1 carbon emissions
datasets. CO2 emissions were calculated at the country level and
population density was used as a surrogate to represent the
within-country distribution of CO2 emissions. CO2 emissions were
calculated from country-level energy consumption data but the data
management system has been designed in a modular fashion so that
state, regional, and provincial level data can be inserted to provide
finer resolution in subsequent versions.
National estimates of CO2 emissions were calculated with the methods
described in Marland and Rotty (1984) and Marland et al. (1989) using
1993 United Nations energy statistics (U.N, 1993). National estimates
of CO2 emissions from cement manufacturing are from the U.S. Bureau of
Mines (Solomon, 1993). Fossil fuel estimates were based on apparent
consumption at the national level.
The 1x1 degree political unit dataset and 1x1 degree population
density datasets were produced by the Goddard Institute for Space
Studies (GISS) and are available via anonymous ftp from:
The three datasets were combined to provide a representation of
decadal distributions of CO2 emissions from 1950 to 1990. CO2
emissions from any cell are the product of the total emissions from
the country and the ratio of the population of the cell to the total
For more information see the GEIA Homepage at:
The CO2 emissions data set is also available from the Carbon Dioxide
Information Analysis Center (CDIAC) as Numeric Data Package NDP-058:
For more complete documentation see:
Data Set Citation
Dataset Originator/Creator: Andres, Marland, Fung, Matthews
Dataset Title: Annual CO2 from Fossil Fuel and Cement Manufacture
Dataset Release Date: 1995
Dataset Publisher: GEIA
Version: Version 1Online Resource: http://geiacenter.org
Start Date: 1950-01-01Stop Date: 1990-12-31
Latitude Resolution: 1 degree
Longitude Resolution: 1 degree
Temporal Resolution: monthly
ATMOSPHERE > AIR QUALITY > EMISSIONS
ATMOSPHERE > ATMOSPHERIC CHEMISTRY > TRACE GASES/TRACE SPECIES
HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > FOSSIL FUEL BURNING
HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > INDUSTRIAL EMISSIONS
ATMOSPHERE > ATMOSPHERIC CHEMISTRY > CARBON AND HYDROCARBON COMPOUNDS > CARBON DIOXIDE
Data Set Progress
Distribution Media: online, ftp
Email: andres at space.edu
Department of Space Studies University of North Dakota
City: Grand Forks
Province or State: ND
Postal Code: 58202-9008
Email: ifung at berkeley.edu
Role: DIF AUTHOR
Email: gsfc-gcmduso at mail.nasa.gov
Phone: (615) 574-0390
Environmental Sciences Division Oak Ridge National Laboratory Post Office Box 2008
City: Oak Ridge
Province or State: Tennessee
Postal Code: 37831
Email: Elaine.E.Matthews at nasa.gov
NASA/Goddard Institute for Space Studies 2880 Broadway
City: New York
Province or State: NY
Postal Code: 10025
Role: TECHNICAL CONTACT
Email: Paulette at PanoramaPathways.net
GEIA Center Panorama Pathways 2385 Panorama Avenue
Province or State: Colorado
Postal Code: 80304
Andres, R.J., G. Marland, T. Boden, and S. Bischof. 1994. "Carbon
dioxide emissions from fossil fuel consumption and cement manufacture,
1751-1991; and an estimate of their isotopic composition and
latitudinal distribution", in 1993 Global Change Institute, ed. T.
Wigley and D. Schimel, in press, Cambridge University Press, Oxford.
Andres, R.J., G. Marland, I. Fung, and E. Matthews. 1996. A one
degree by one degree distribution of carbon dioxide emissions from
fossil-fuel consumption and cement manufacture, 1950-1990. Global
Biogeochemical Cycles 10:3:419-429
Marland, G., R.J. Andres, and T. Boden. 1994. "Magnitude and trends of
CO2 emissions," Global Climate Change: Science, Policy, and Mitigation
Strategies, ed. C.V. Mathai, Air and Waste Management Association (in
Marland, G. and T.A. Boden. 1993. "The magnitude and distribution of
fossil-fuel-related carbon releases", in Carbon Cycle, ed. M. Heimann,
pp. 117-138, Springer-Verlag, Berlin.
Marland, G., T.A. Boden, R.C. Griffin, S.F. Huang, P. Kanciruk, and
T.R. Nelson. 1989. "Estimates of CO2 emissions from fossil fuel
burning and cement manufacturing, based on the United Nations Energy
Statistics and the U.S. Bureau of Mines Cement Manufacturing Data",
NDP-030, Oak Ridge National Laboratory, Oak Ridge, TN.
Marland, G. and R.M. Rotty. 1984. "Carbon dioxide emissions from
fossil fuels: A procedure for estimation and results for 1950-1982",
Tellus, 36B, pp. 232-261.
Marland, G., R.M. Rotty, and N.L. Treat. 1985. "CO2 from fossil fuel
burning: Global distribution of emissions", Tellus, 37B, pp. 243-258.
Matthews, E. 1983. "Global vegetation and land use: New
high-resolution data bases for climate studies", J. Climate and
Applied Meteorology, 22, pp. 474-487.
Rogers, A. 1984a. "Migration patterns and population redistributions",
in Migration, Urbanization, and Spatial Population Dynamics, ed. A.
Rogers, pp. 3-38, Westview Press, Boulder, CO.
Rogers, A. 1984b. "Sources of urban population growth and
urbanizations, 1950-2000: A demographic accounting", in Migration,
Urbanization, and Spatial Population Dynamics, ed. A. Rogers, pp.
281-304, Westview Press, Boulder, CO.
Solomon, C. 1993. "Cement", U.S. Department of Interior, Bureau of
Mines, Washington, D.C.
U.N. 1993. "The United Nations Energy Statistics Database", United
Nations Statistical Division, New York.
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Creation and Review Dates
Last DIF Revision Date: 2016-01-27