HR: 1340h
AN: A33A-0127 [Abstracts]
TI: Usage of TES Data for Assimilation, Inverse Modeling and Intercomparison
AU: * Bowman, K W
EM: kevin.bowman@jpl.nasa.gov
AF: Jet Propulsion Laboratory-California Institute of Technology, 4800 Oak Grove Dr. MS 183-601, Pasadena,
CA 91109
United States
AU: Jones, D B
EM: dbj@atmosp.physics.utoronto.ca
AF: University of Toronto, 60 St. George Street, Toronto, Ont M5S 1A7
Canada
AU: Worden, J
EM: john.worden@jpl.nasa.gov
AF: Jet Propulsion Laboratory-California Institute of Technology, 4800 Oak Grove Dr. MS 183-601, 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 Dr. MS 183-601, Pasadena,
CA 91109
United States
AU: Sund-Kulawik, S
EM: susan.s.kulawik@jpl.nasa.gov
AF: Jet Propulsion Laboratory-California Institute of Technology, 4800 Oak Grove Dr. MS 183-601, Pasadena,
CA 91109
United States
AU: worden, h
EM: helen.worden@jpl.nasa.gov
AF: Jet Propulsion Laboratory-California Institute of Technology, 4800 Oak Grove Dr. MS 183-601, Pasadena,
CA 91109
United States
AU: Osterman, G
EM: gregory.osterman@jpl.nasa.gov
AF: Jet Propulsion Laboratory-California Institute of Technology, 4800 Oak Grove Dr. MS 183-601, Pasadena,
CA 91109
United States
AU: Eldering, A
EM: annmarie.eldering@jpl.nasa.gov
AF: Jet Propulsion Laboratory-California Institute of Technology, 4800 Oak Grove Dr. MS 183-601, Pasadena,
CA 91109
United States
AU: Luo, M
EM: ming.luo@jpl.nasa.gov
AF: Jet Propulsion Laboratory-California Institute of Technology, 4800 Oak Grove Dr. MS 183-601, Pasadena,
CA 91109
United States
AU: Lampel, M
EM: mlampel@sdsio.jpl.nasa.gov
AF: Raytheon Technical Services Company, LLC, 299 N. Euclid Av. Suite 500, Pasadena, CA 91101
United States
AU: Jacob, D
EM: djacob@fas.harvard.edu
AF: Harvard University, Pierce Hall 190
Oxford Street, Cambridge, MA 02138
United States
AU: Rider, D
EM: David.M.Rider@jpl.nasa.gov
AF: Jet Propulsion Laboratory-California Institute of Technology, 4800 Oak Grove Dr. MS 183-601, Pasadena,
CA 91109
United States
AU: Fisher, B
EM: Brendan.M.Fisher@jpl.nasa.gov
AF: Jet Propulsion Laboratory-California Institute of Technology, 4800 Oak Grove Dr. MS 183-601, Pasadena,
CA 91109
United States
AU: Gunson, M
EM: michael.gunson@jpl.nasa.gov
AF: Jet Propulsion Laboratory-California Institute of Technology, 4800 Oak Grove Dr. MS 183-601, Pasadena,
CA 91109
United States
AU: Beer, R
EM: reinhard.beer@jpl.nasa.gov
AF: Jet Propulsion Laboratory-California Institute of Technology, 4800 Oak Grove Dr. MS 183-601, Pasadena,
CA 91109
United States
AB:
The TES retrieval algorithm estimates an atmospheric profile by simultaneously minimizing the difference between observed and
model spectral radiances subject to the constraint that the solution is consistent with an a priori mean and covariance.
Consequently, the retrieved profile includes contributions from observations with random and systematic errors and from the
prior. These contributions must be properly characterized in order to use TES retrievals in data assimilation, inverse
modeling, averaging, and intercomparison with other measurements. All TES retrievals include measurement and systematic
error covariances along with averaging kernel and a priori vector. We illustrate how to use these TES data with a couple of
examples such as regional averaging, comparisons with sondes, and chemical transport models.
DE: 3260 Inverse theory
DE: 0365 Troposphere--composition and chemistry
DE: 0368 Troposphere--constituent transport and chemistry
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting