HR: 1340h
AN: A13A-0095    [Abstracts]
TI: Influence of Varying Biospheric Parameters on CO$_{2}$ Seasonal Cycles in a Forward Transport Model
AU: * Skidmore, J
EM: j.skidmore@sron.nl
AF: National Institute for Space Research (SRON), Sorbonnelaan 2, Utrecht, 3584 CA Netherlands
AU: Houweling, S
EM: s.houweling@phys.uu.nl
AF: National Institute for Space Research (SRON), Sorbonnelaan 2, Utrecht, 3584 CA Netherlands
AU: Krol, M
EM: M.C.Krol@phys.uu.nl
AF: Institute for Marine and Atmospheric Research (IMAU), Princetonplein 5, Utrecht, 3584 CC Netherlands
AU: Peters, W
EM: wouter.peters@noaa.gov
AF: National Oceanic and Atmospheric Administration, Climate Monitoring Diagnostics Laboratory (NOAA-CMDL), 325 Broadway, Boulder, CO 80305 United States
AB: An atmospheric tracer inversion is only as good as the forward transport model. Reducing uncertainty and bias in final flux and mixing ratio estimates of CO$_{2}$ begins with having a model that accurately depicts the state and trace gas evolution over time. One such indicator of model validity is the estimate of seasonally varying annual cycles of CO$_{2}$ in the atmosphere. This research focuses on the differences effected in precision with measurements by choice of input parameters such as fossil fuel estimates, ocean carbon flux estimates, biomass burning datasets, and changes in sampling level for specific geographic locations. The seasonality mismatches are also compared with new SF6 measurements. Also compared is the satellite-based seasonal cycle measurements of CO$_{2}$ from the SCIAMACHY near-infrared instrument aboard the ENVISAT platform, and the observed seasonal cycles as seen in global surface measurements. For these comparisons, the forward atmospheric transport models TM3 and TM5 are used in global and regional simulations.
DE: 0315 Biosphere/atmosphere interactions
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting