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Title: Monthly Fossil-Fuel CO2 Emissions: Isomass of Emissions Gridded by One Degree Latitude by One Degree Longitude

Abstract

The basic data provided in these data files are derived from time series of Global, Regional, and National Fossil-Fuel CO2 Emissions (http://cdiac.ess-dive.lbl.gov/trends/emis/overview_2011.html), 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 signature (del 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), Basic Energy Sciences (BER) (SC-23)
Collaborations:
Carbon Dioxide Information Analysis Center (CDIAC)
Subject:
54 ENVIRONMENTAL SCIENCES
OSTI Identifier:
1389455
DOI:
https://doi.org/10.3334/CDIAC/FFE.MONTHLYISOMASS.2015

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. United States: N. p., 2015. Web. doi:10.3334/CDIAC/FFE.MONTHLYISOMASS.2015.
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. United States. doi:https://doi.org/10.3334/CDIAC/FFE.MONTHLYISOMASS.2015
Andres, R. J., Boden, T. A., and Marland, G. 2015. "Monthly Fossil-Fuel CO2 Emissions: Isomass of Emissions Gridded by One Degree Latitude by One Degree Longitude". United States. doi:https://doi.org/10.3334/CDIAC/FFE.MONTHLYISOMASS.2015. https://www.osti.gov/servlets/purl/1389455. Pub date:Thu Jan 01 00:00:00 EST 2015
@article{osti_1389455,
title = {Monthly Fossil-Fuel CO2 Emissions: Isomass of Emissions Gridded by One Degree Latitude by One Degree Longitude},
author = {Andres, R. J. and Boden, T. A. and Marland, G.},
abstractNote = {The basic data provided in these data files are derived from time series of Global, Regional, and National Fossil-Fuel CO2 Emissions (http://cdiac.ess-dive.lbl.gov/trends/emis/overview_2011.html), 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 signature (del 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.2015},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 2015},
month = {Thu Jan 01 00:00:00 EST 2015}
}