HR: 0800h
AN: A51B-0763 [Abstracts]
TI: Optimization of the Atmospheric Infrared Sounder (AIRS) Carbon Monoxide Retrievals
AU: * McCourt, M L
EM: michele@jcet.umbc.edu
AF: University of Maryland, Baltimore County, Physics Department
1000 Hilltop Circle, Baltimore, MD 21250
United States
AU: McMillan, W W
EM: mcmillan@umbc.edu
AF: University of Maryland, Baltimore County, Physics Department
1000 Hilltop Circle, Baltimore, MD 21250
United States
AU: Warner, J
EM: juying@umbc.edu
AF: University of Maryland, Baltimore County, Physics Department
1000 Hilltop Circle, Baltimore, MD 21250
United States
AU: Barnet, C
EM: chris.barnet@noaa.gov
AF: NOAA NESDIS/ORA, 5200 Auth Road, Camp Springs, MD 20746
United States
AU: Novelli, P
EM: Paul.C.Novelli@noaa.gov
AF: NOAA/CMDL, DSRL 2D135
325 Broadway, Boulder, CO 80395
United States
AB:
Since the first light of the Atmospheric Infrared Sounder (AIRS) onboard NASA's EOS Aqua satellite in the summer of 2002, a
new method for retrieving atmospheric constituents, one which can be done in the presence of clouds, has been in use by the
AIRS science team. This physical retrieval technique combines linear least squares with singular value decomposition to
minimize the dependence of the final solution on the first-guess inputs and their associated errors. Combining AIRS wide
swath width with its cloud clearing capability results in more comprehensive daily global coverage than previously possible.
By implementing this retrieval method on the 4.67 $\mu$m (2180 cm$^{-1}$) spectral region we can retrieve tropospheric
carbon monoxide. Through channel and function selection, and damping criteria, we have optimized the carbon monoxide
retrieval using in situ aircraft profiles from the Climate Modeling and Diagnostic Laboratory (CMDL) as truth. These in situ
profiles were collected from various locations around the globe over a 15 month period and therefore are spatially and
temporally representative of the CO variability in the troposphere. Comparisons of the in situ and retrieved carbon monoxide
profiles, including sensitivity functions, as well as global CO maps will be presented.
DE: 1640 Remote sensing
DE: 0365 Troposphere--composition and chemistry
DE: 0368 Troposphere--constituent transport and chemistry
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting