HR: 14:10h
AN: A53C-03 [Abstracts]
TI: Estimates of surface emissions of atmospheric CO based on measurements from the TES
instrument
AU: * Jones, D B
EM: dbj@atmosp.physics.utoronto.ca
AF: University of Toronto, 60 St George St., Toronto, ON M5S 1A7
Canada
AU: Bowman, K W
EM: Kevin.Bowman@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109
United States
AU: Heald, C L
EM: heald@fas.harvard.edu
AF: Harvard University, 29 Oxford Street, Cambridge, MA 02138
United States
AU: Kopacz, M
EM: kopacz@fas.harvard.edu
AF: Harvard University, 29 Oxford Street, Cambridge, MA 02138
United States
AU: Worden, J R
EM: john.worden@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109
United States
AU: Li, Q
EM: Qinbin.Li@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109
United States
AU: Jacob, D J
EM: jacob@fas.harvard.edu
AF: Harvard University, 29 Oxford Street, Cambridge, MA 02138
United States
AB:
Atmospheric CO is a major precursor of tropospheric ozone and the main sink for tropospheric OH, the dominant atmospheric
oxidant. Inverse modelling of measurements of CO has emerged as a powerful means for quantifying surface emissions of CO. We
report results from the first inverse modelling of measurements of CO from the TES instrument, launched on the Aura
satellite. Using a Bayesian synthesis inversion approach, we examine the constraints on estimates of the emissions of CO
provided by TES. We conduct a global inversion analysis, with a particular focus on Asian sources of CO. We also compare the
constraints offered by TES with those from the MOPITT instrument. Recently, studies have explored integrating space-based and
aircraft measurements. We examine here the utility of integrating observations from the two satellite instruments in the
inversion analysis. The MOPITT and TES data sets are incorporated separately and together in the inversion to quantify the
consistency and complementarity of the two data sets toward quantifying the CO emissions.
DE: 0322 Constituent sources and sinks
DE: 0365 Troposphere: composition and chemistry
DE: 0368 Troposphere: constituent transport and chemistry
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005