HR: 1340h
AN: A23C-1488    [Abstracts]
TI: Interannual Variability in Tropospheric CO: Global-Scale Analysis using GEOS-CHEM model and MOPITT Measurements
AU: * Li, Q
EM: ql10@duke.edu
AF: Duke University, Nicholas School of the Environment, Durham, NC 27705, United States
AU: Kasibhatla, P
EM: psk9@dukee.edu
AF: Duke University, Nicholas School of the Environment, Durham, NC 27705, United States
AU: Randerson, J
EM: jranders@uci.edu
AF: University of California Irvine, Department of Earth System Sciences, Irvine, CA 92697, United States
AU: var der Werf, G
EM: guido.van.der.werf at falw.vu.nl
AF: Vrije University, Department of Hydrology and Geo-Environmental Sciences, Amsterdam, 1081 HV, Netherlands
AU: Collatz, J
EM: Jim.Collatz@nasa.gov
AF: NASA Goddard Space Flight Center, Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Giglio, L
EM: giglio@hades.gsfc.nasa.gov
AF: NASA Goddard Space Flight Center, Goddard Space Flight Center, Greenbelt, MD 20771, United States
AB: Biomass burning is a significant global source of a variety of chemically and radiatively important trace gases. In this study, three-dimensional atmospheric chemical transport model (CTM) are used to simulate the distribution of CO from biomass burning emissions using GFED2 biomass burning emission inventory for the 2002-2006 period. Comparison with the MOPITT (Measurements of Pollution in the Troposphere) satellite measurements shows that the model significantly underestimated the seasonal cycle, but relatively well captured the interannual variability of the troposphere CO column. An inverse analysis is then used to estimate the biomass burning CO emission anomalies in various geographical regions based on assumption that short-term interannual variations in atmospheric column CO primarily caused by the interannual variations in biomass burning CO emissions. Such a inverse model is found useful to constrain those biomass burning emissions with large anomalies such as Equatorial Asia and Siberia. The inversion indicate over 30% increase in the emission anomalies from Equatorial Asia and 25% decrease in the fire emission anomalies from southern South America. The posterior modeled CO anomalies performed reasonably well comparing to both MOPITT column and NOAA GMD (National Oceanic and Atmospheric Administration Global Monitoring Division) surface concentration anomalies.
DE: 0322 Constituent sources and sinks
DE: 0330 Geochemical cycles (1030)
DE: 0365 Troposphere: composition and chemistry
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting