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Title: Monthly Fossil-Fuel CO2 Emissions: Isomass of Emissions Gridded by One Degree Latitude by One Degree Longitude (1950 - 2010) (V. 2013)

Abstract

The monthly, isotopic (δ 13C) fossil-fuel CO2 emissions estimates from 1950-2013 provided in this database are derived from time series of global, regional, and national fossil-fuel CO2 emissions (Boden et al. 2016), the references therein, and the methodology described in Andres et al. (2011). The data accessible here take these tabular, national, mass-emissions data, multiply them by stable carbon isotopic signatures (δ 13C) as described in Andres et al. (2000), and distribute them spatially on a one degree latitude by one degree longitude grid. The within-country spatial distribution is achieved through a fixed population distribution as reported in Andres et al. (1996). Note that the mass-emissions data used here are based on fossil-fuel consumption estimates as these are more representative of within country emissions than fossil-fuel production estimates (see http://cdiac.ess-dive.lbl.gov/faq.html#Q10 for a description why emission totals based upon consumption differ from those based upon production).

Authors:
; ;
  1. Carbon Dioxide Information Analysis Center Environmental Sciences Division Oak Ridge National Laboratory Oak Ridge, Tennessee 37830-6290 U.S.A.
  2. Research Institute for Environment, Energy and Economics Appalachian State University Boone, North Carolina 28608 U.S.A.
Publication Date:
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 Sciences (BER) (SC-23)
Subject:
54 ENVIRONMENTAL SCIENCES
OSTI Identifier:
1389454
DOI:
https://doi.org/10.3334/CDIAC/FFE.MONTHLYISOMASS.2013

Citation Formats

Andres, R. J., Boden, T. A., and Marland, G. Monthly Fossil-Fuel CO2 Emissions: Isomass of Emissions Gridded by One Degree Latitude by One Degree Longitude (1950 - 2010) (V. 2013). United States: N. p., 2013. Web. doi:10.3334/CDIAC/FFE.MONTHLYISOMASS.2013.
Andres, R. J., Boden, T. A., & Marland, G. Monthly Fossil-Fuel CO2 Emissions: Isomass of Emissions Gridded by One Degree Latitude by One Degree Longitude (1950 - 2010) (V. 2013). United States. doi:https://doi.org/10.3334/CDIAC/FFE.MONTHLYISOMASS.2013
Andres, R. J., Boden, T. A., and Marland, G. 2013. "Monthly Fossil-Fuel CO2 Emissions: Isomass of Emissions Gridded by One Degree Latitude by One Degree Longitude (1950 - 2010) (V. 2013)". United States. doi:https://doi.org/10.3334/CDIAC/FFE.MONTHLYISOMASS.2013. https://www.osti.gov/servlets/purl/1389454. Pub date:Tue Jan 01 00:00:00 EST 2013
@article{osti_1389454,
title = {Monthly Fossil-Fuel CO2 Emissions: Isomass of Emissions Gridded by One Degree Latitude by One Degree Longitude (1950 - 2010) (V. 2013)},
author = {Andres, R. J. and Boden, T. A. and Marland, G.},
abstractNote = {The monthly, isotopic (δ 13C) fossil-fuel CO2 emissions estimates from 1950-2013 provided in this database are derived from time series of global, regional, and national fossil-fuel CO2 emissions (Boden et al. 2016), the references therein, and the methodology described in Andres et al. (2011). The data accessible here take these tabular, national, mass-emissions data, multiply them by stable carbon isotopic signatures (δ 13C) as described in Andres et al. (2000), and distribute them spatially on a one degree latitude by one degree longitude grid. The within-country spatial distribution is achieved through a fixed population distribution as reported in Andres et al. (1996). Note that the mass-emissions data used here are based on fossil-fuel consumption estimates as these are more representative of within country emissions than fossil-fuel production estimates (see http://cdiac.ess-dive.lbl.gov/faq.html#Q10 for a description why emission totals based upon consumption differ from those based upon production).},
doi = {10.3334/CDIAC/FFE.MONTHLYISOMASS.2013},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2013},
month = {1}
}