HR: 17:10h
AN: A14C-05    [Abstracts]
TI: Multi-year Inverse Modeling of Global CO Biomass Burning Emissions Using MOPITT Measurements
AU: * Li, Q
A14C-05 AF: Duke University, Nicholas School of the Environment and Earth Sciences, Durham, NC 27708 United States
AU: Kasibhatla, P
A14C-05 AF: Duke University, Nicholas School of the Environment and Earth Sciences, Durham, NC 27708 United States
AU: Randerson, J
A14C-05 AF: University of California Irvine, Department of Earth System Science, Irvine, CA 92697 United States
AU: van der Werf, G
A14C-05 AF: Vrije Universiteit Amsterdam, Faculty of Earth and Life Sciences, Amsterdam, 1081 HV Netherlands
AU: Giglio, L
A14C-05 AF: Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Code 923, Greenbelt, MD 20771 United States
AU: Collatz, J
A14C-05 AF: NASA Goddard Space Flight Center, Code 923, Greenbelt, MD 20771 United States
AB: Biomass burning is a significant global source of a variety of chemical and radiatively important trace gases. In terms of understanding the effect of biomass burning emissions on atmospheric chemical composition, it is important to characterize the spatial and temporal variability of these emissions. In this study, three-dimensional atmospheric chemical transport model simulations are used to simulate the distribution of CO from biomass burning emissions using a recently-developed source inventory for the 1997-2004 period. Here, we focus on an analysis of the simulated distribution of tropospheric column CO during the 2001-2004 period, using newly available satellite based measurements of tropospheric CO from the MOPITT instrument. The specific focus of our analysis is on the spatial and temporal patterns of interannual variations in tropospheric column CO. Under the assumption that short-term interannual variations in atmospheric column CO originate from interannual variations in biomass burning CO emissions, an inverse analysis methodology is used to estimate biomass burning CO emission anomalies in various geographical regions. These estimates are then used to estimate the extent to which short-term interannual variations in atmospheric CO2 can be explained by interannual variations in biomass burning emissions.
DE: 0315 Biosphere/atmosphere interactions (0426, 1610)
DE: 0322 Constituent sources and sinks
DE: 0368 Troposphere: constituent transport and chemistry
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005