Analysis of anthropogenic CO2 signal in ICARTT using a regional chemical transport model and observed tracers

J. E Campbell; G. R Carmichael; Y Tang; T Chai; S. A Vay; Y.-H Choi; G. W Sachse; H. B Singh; J. L Schnoor; J Woo; J. M Vukovich; D. G Streets; L. G Huey; C. O Stanier

doi:10.1111/j.1600-0889.2006.00239.x

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Analysis of anthropogenic CO2 signal in ICARTT using a regional chemical transport model and observed tracers

Journal article

Peer reviewed

Analysis of anthropogenic CO2 signal in ICARTT using a regional chemical transport model and observed tracers

J. E Campbell, G. R Carmichael, Y Tang, T Chai, S. A Vay, Y.-H Choi, G. W Sachse, H. B Singh, J. L Schnoor, J Woo, …

Tellus. Series B, Chemical and physical meteorology, Vol.59(2), pp.199-210

01/01/2007

DOI: 10.1111/j.1600-0889.2006.00239.x

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Abstract

Atmospheric CO 2 inversion studies infer surface sources and sinks from observations and models. These studies usually require determination of the fossil fuel component of the observation, which can be estimated using anthropogenic tracers such as CO. The objective of this study is to demonstrate a new CO tracer method that accounts for overlapping forest fire and photochemical CO influences, and to quantify several aspects of the uncertainty in the CO tracer technique. Photochemistry model results and observations from the International Consortium for Atmospheric Research on Transport and Transformation experiment are used to quantify changes in the fossil fuel CO 2 prediction from the CO tracer method with and without the inclusion of CO from biomass burning and photochemistry. Although the chemical sources and sinks tend to offset each other, there are regions where the chemical reactions change fossil fuel CO 2 predictions by up to ±4 ppm. Including biomass burning lowers fossil fuel CO 2 by an average of 12 ppm in plumes heavily influenced by long-range transport of forest fire CO. An alternate fossil fuel CO 2 calculation is done in a power plant plume using SO 2 as a tracer, giving a change in 20 ppm from the CO method, indicative of uncertainty in the assumed CO:CO 2 ratio.

Details

Title: Subtitle: Analysis of anthropogenic CO2 signal in ICARTT using a regional chemical transport model and observed tracers
Creators: J. E Campbell - Center for Global and Regional Environmental Research, University of Iowa
G. R Carmichael - Center for Global and Regional Environmental Research, University of Iowa
Y Tang - Center for Global and Regional Environmental Research, University of Iowa
T Chai - Center for Global and Regional Environmental Research, University of Iowa
S. A Vay - NASA Langley Research Center
Y.-H Choi - Center for Global and Regional Environmental Research, University of Iowa
G. W Sachse - NASA Langley Research Center
H. B Singh - NASA Ames Research Center, Moffett Field
J. L Schnoor - Center for Global and Regional Environmental Research, University of Iowa
J Woo - Northeast States for Coordinated Air Use Management
J. M Vukovich - Carolina Environmental Program (CEP), University of North Carolina
D. G Streets - Decision & Information Science Division, Argonne National Laboratory
L. G Huey - School of Earth and Atmospheric Sciences, Georgia Institute of Technology
C. O Stanier - Center for Global and Regional Environmental Research, University of Iowa
Resource Type: Journal article
Publication Details: Tellus. Series B, Chemical and physical meteorology, Vol.59(2), pp.199-210
DOI: 10.1111/j.1600-0889.2006.00239.x
ISSN: 0280-6509
eISSN: 1600-0889
Publisher: Taylor & Francis
Language: English
Date published: 01/01/2007
Academic Unit: Civil and Environmental Engineering; Occupational and Environmental Health; Nursing; Chemical and Biochemical Engineering
Record Identifier: 9983997429302771

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