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Title: Annual Fossil-Fuel CO2 Emissions: Mass of Emissions Gridded by One Degree Latitude by One Degree Longitude (1751-2006) (NDP-058.2009)

Abstract

The 2009 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 1751-2006. 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 2006 were published earlier (Boden et al. 2009). 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 consumptionmore » and nation-based fuel mix. Increases in fossil-fuel CO2 emissions over time are apparent for most areas.« less

Authors:
; ;
  1. Carbon Dioxide Information Analysis Center (CDIAC), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (USA)
Publication Date:
DOE Contract Number:  
NDP-058.2009
Product Type:
Dataset
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); Carbon Dioxide Information Analysis Center (CDIAC), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (USA)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Subject:
54 ENVIRONMENTAL SCIENCES
OSTI Identifier:
1389468
DOI:
10.3334/CDIAC/FFE.NDP058.2009

Citation Formats

Andres, R. J., Boden, T. A., and Marland, G. Annual Fossil-Fuel CO2 Emissions: Mass of Emissions Gridded by One Degree Latitude by One Degree Longitude (1751-2006) (NDP-058.2009). United States: N. p., 2009. Web. doi:10.3334/CDIAC/FFE.NDP058.2009.
Andres, R. J., Boden, T. A., & Marland, G. Annual Fossil-Fuel CO2 Emissions: Mass of Emissions Gridded by One Degree Latitude by One Degree Longitude (1751-2006) (NDP-058.2009). United States. doi:10.3334/CDIAC/FFE.NDP058.2009.
Andres, R. J., Boden, T. A., and Marland, G. 2009. "Annual Fossil-Fuel CO2 Emissions: Mass of Emissions Gridded by One Degree Latitude by One Degree Longitude (1751-2006) (NDP-058.2009)". United States. doi:10.3334/CDIAC/FFE.NDP058.2009. https://www.osti.gov/servlets/purl/1389468. Pub date:Thu Jan 01 00:00:00 EST 2009
@article{osti_1389468,
title = {Annual Fossil-Fuel CO2 Emissions: Mass of Emissions Gridded by One Degree Latitude by One Degree Longitude (1751-2006) (NDP-058.2009)},
author = {Andres, R. J. and Boden, T. A. and Marland, G.},
abstractNote = {The 2009 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 1751-2006. 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 2006 were published earlier (Boden et al. 2009). 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.},
doi = {10.3334/CDIAC/FFE.NDP058.2009},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2009},
month = {1}
}

Works referencing / citing this record:

Development of a high-resolution spatial inventory of greenhouse gas emissions for Poland from stationary and mobile sources
journal, February 2018

  • Bun, Rostyslav; Nahorski, Zbigniew; Horabik-Pyzel, Joanna
  • Mitigation and Adaptation Strategies for Global Change, Vol. 24, Issue 6
  • DOI: 10.1007/s11027-018-9791-2

Analysis of seasonality and annual mean distribution of atmospheric potential oxygen (APO) in the Pacific region: APO IN THE PACIFIC REGION
journal, October 2012

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  • Global Biogeochemical Cycles, Vol. 26, Issue 4
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High-resolution spatial distribution of greenhouse gas emissions in the residential sector
journal, March 2019

  • Danylo, Olha; Bun, Rostyslav; See, Linda
  • Mitigation and Adaptation Strategies for Global Change, Vol. 24, Issue 6
  • DOI: 10.1007/s11027-019-9846-z

Development of a high-resolution spatial inventory of greenhouse gas emissions for Poland from stationary and mobile sources
journal, February 2018

  • Bun, Rostyslav; Nahorski, Zbigniew; Horabik-Pyzel, Joanna
  • Mitigation and Adaptation Strategies for Global Change, Vol. 24, Issue 6
  • DOI: 10.1007/s11027-018-9791-2

A high-definition spatially explicit modelling approach for national greenhouse gas emissions from industrial processes: reducing the errors and uncertainties in global emission modelling
journal, January 2019

  • Charkovska, Nadiia; Halushchak, Mariia; Bun, Rostyslav
  • Mitigation and Adaptation Strategies for Global Change, Vol. 24, Issue 6
  • DOI: 10.1007/s11027-018-9836-6