HR: 08:15h
AN: B51E-02    [Abstracts]
TI: Variability in the Mass and Stable Carbon Isotopic Composition of Fossil-Fuel-Derived Carbon Dioxide Emissions for the Countries of the North American Carbon Program
AU: * Andres, R J
EM: andresrj@ornl.gov
AF: Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN 37831- 6335, United States
AU: Boden, T A
EM: bodenta@ornl.gov
AF: Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN 37831- 6335, United States
AU: Gregg, J S
EM: jgregg@umd.edu
AF: University of Maryland, Department of Geography, College Park, MD 20742, United States
AU: Losey, L
EM: london.m.losey@gmail.com
AF: University of North Dakota, Department of Space Studies, Grand Forks, ND 58202-9008, United States
AU: Marland, G
EM: marlandgh@ornl.gov
AF: Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN 37831- 6335, United States
AU: Marland, G
EM: marlandgh@ornl.gov
AF: International Institute for Applied Systems Analysis, IIASA, Laxenburg, A2361, Austria
AB: As we focus more intently on the carbon cycle in North America, the spatial and temporal scales of our observations become more important. The carbon dioxide released from fossil fuel consumption can show large variability in both spatial and temporal scales. This presentation will focus on this variability. We have compiled a data set that contains the monthly emissions of carbon dioxide released from fossil-fuel consumption for the countries of the North American Carbon Program. These data are consistent with the annual emissions as reported by CDIAC. As an example of spatial variability, in August 2000, emissions from Idaho (356 Gg C) and Texas (19,051 Gg C) differed by a factor of 53. As an example of temporal variability, in 1999, emissions from Texas differed by 31% between the months of February (13,807 Gg C) and August (18,107 Gg C). When looking at the stable carbon isotopic composition (del 13 C), variability also exists at these spatial and temporal scales. As an example of spatial variability, in April 1984, emissions from Louisiana (-36.32 per mil) and North Dakota (-25.23 per mil) differed by 11.09 per mil. As an example of temporal variability, in 2002, emissions from Montana differed by 5.22 per mil between the months of July (-28.38 per mil) and December (- 33.60 per mil). Finally, this presentation will also include analysis of the uncertainty associated with these time series. Variations in data collection are such that the uncertainty varies among the three countries of North America and uncertainty increases as the spatial and temporal scales decrease.
UR: http://cdiac.esd.ornl.gov/
DE: 0330 Geochemical cycles (1030)
DE: 0400 BIOGEOSCIENCES
DE: 0428 Carbon cycling (4806)
DE: 1615 Biogeochemical cycles, processes, and modeling (0412, 0414, 0793, 4805, 4912)
DE: 9350 North America
SC: Biogeosciences [B]
MN: 2007 Fall Meeting