HR: 09:30h
AN: A11F-07    [Abstracts]
TI: Characterizing Model Errors for Inverse Modelling of Atmospheric Trace Gases
AU: * Jones, D B
EM: dbj@atmosp.physics.utoronto.ca
AF: Department of Physics, University of Toronto, 60 St. George Street, Toronto, ON M5S 1A7 Canada
AU: Hoffman, R N
EM: rhoffman@aer.com
AF: Atmospheric & Environmental Research, Inc., 131 Hartwell Avenue, Lexington, MA 02421 United States
AU: Heald, C L
EM: heald@fas.harvard.edu
AF: Division of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, Cambridge, MA 02138 United States
AU: Nehrkorn, T
EM: tnehrkor@aer.com
AF: Atmospheric & Environmental Research, Inc., 131 Hartwell Avenue, Lexington, MA 02421 United States
AU: Jacob, D J
EM: djacob@fas.harvard.edu
AF: Division of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, Cambridge, MA 02138 United States
AU: Wild, O
EM: oliver@jamstec.go.jp
AF: Frontier Research System for Global Change, 3173-25 Showa-machi, Kanazawa-ku, Yokohama, Kanagawa, 236-0001 Japan
AU: Cerniglia, M
EM: mcernigl@aer.com
AF: Atmospheric & Environmental Research, Inc., 131 Hartwell Avenue, Lexington, MA 02421 United States
AU: Bey, I
EM: isabelle.bey@epfl.ch
AF: Swiss Federal Institute of Technology, (EPFL), Lausanne, CH-1015 Switzerland
AU: Yantosca, R M
EM: bmy@io.harvard.edu
AF: Division of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, Cambridge, MA 02138 United States
AB: Inverse modelling has become a powerful tool for improving estimates of surface fluxes of environmentally important trace gases. However, the a posteriori flux estimates depend critically on properly characterizing forward model errors, which are typically specified on an ad hoc basis. We present a new approach for quantifying model error for the inverse modelling of CO based on the "NMC method," which has not previously been applied to the inverse modelling of atmospheric trace constituents. The model error for the GEOS-CHEM simulation of CO is estimated using the differences between successive chemical forecasts of CO (48-hours vs. 24-hours), generated during February-March, 2001. We examine the dependence of the error correlation structure on region and local meteorology. We determine the consistency of the error statistics from the NMC method with those calculated by comparison of the CO simulation from GEOS-CHEM with that from the UCI/FRSGC model, and those based on the differences between GEOS-CHEM and observations of CO from MOPITT.
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
DE: 0322 Constituent sources and sinks
DE: 0365 Troposphere--composition and chemistry
DE: 0368 Troposphere--constituent transport and chemistry
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting