HR: 1330h
AN: A52B-0797    [PDF]
TI: Exploiting observed CO:CO$_2$ correlations in Asian outflow to invert simultaneously for emissions of CO and CO$_2$
AU: * Palmer, P I
EM: pip@io.harvard.edu
AF: Harvard University, Division of Engineering and Applied Sciences, Cambridge, MA 02138 United States
AU: Suntharalingam, P
EM: pns@io.harvard.edu
AF: Harvard University, Division of Engineering and Applied Sciences, Cambridge, MA 02138 United States
AU: Jones, D B
EM: dbj@io.harvard.edu
AF: Harvard University, Division of Engineering and Applied Sciences, Cambridge, MA 02138 United States
AU: Jacob, D J
EM: djj@io.harvard.edu
AF: Harvard University, Division of Engineering and Applied Sciences, Cambridge, MA 02138 United States
AU: Sachse, G W
AF: NASA-Langley Research Center, Chemistry and Dynamics Branch, Hampton, VA 23681 United States
AU: Vay, S A
AF: NASA-Langley Research Center, Chemistry and Dynamics Branch, Hampton, VA 23681 United States
AB: Observed correlations between trace gases provide additional constraints to chemical inverse problems but have been largely unexploited. We use correlations between CO and CO$_2$ in Asian outflow from the NASA TRACE-P aircraft campaign, together with the GEOS-CHEM global 3-D model driven by time-dependent emission inventories for these gases, to invert simultaneously for the emissions of CO and CO$_2$ using a maximum likelihood technique. We show that these CO:CO$_2$ correlations help to distinguish emissions from different countries in eastern Asia, and also to provide valuable information about source type attribution, that would otherwise be impossible using only one of these gases.
DE: 0322 Constituent sources and sinks
DE: 0345 Pollution--urban and regional (0305)
DE: 0365 Troposphere--composition and chemistry
DE: 0368 Troposphere--constituent transport and chemistry
SC: Atmospheric Sciences [A]
MN: 2003 Fall Meeting