HR: 11:05h
AN: H31F-04    [PDF]
TI: Sensitivity analysis of cirrus clouds using high-resolution IR spectra: Simulations and observations
AU: * Kahn, B H
EM: briank@atmos.ucla.edu
AF: UCLA, Department of Atmospheric Sciences 405 Hilgard Avenue 7127 Math Sciences Box 951565, Los Angeles, CA 90095-1565 United States
AU: Eldering, A
EM: annmarie.eldering@jpl.nasa.gov
AF: UCLA, Department of Atmospheric Sciences 405 Hilgard Avenue 7127 Math Sciences Box 951565, Los Angeles, CA 90095-1565 United States
AU: Eldering, A
EM: annmarie.eldering@jpl.nasa.gov
AF: JPL, California Institute of Technology 4800 Oak Grove Drive, Pasadena, CA 91109-8099 United States
AU: Ghil, M
EM: ghil@atmos.ucla.edu
AF: UCLA, Department of Atmospheric Sciences 405 Hilgard Avenue 7127 Math Sciences Box 951565, Los Angeles, CA 90095-1565 United States
AU: Bordoni, S
EM: bordoni@atmos.ucla.edu
AF: UCLA, Department of Atmospheric Sciences 405 Hilgard Avenue 7127 Math Sciences Box 951565, Los Angeles, CA 90095-1565 United States
AU: Braverman, A
EM: amy.braverman@jpl.nasa.gov
AF: JPL, California Institute of Technology 4800 Oak Grove Drive, Pasadena, CA 91109-8099 United States
AU: Fetzer, E
EM: eric.j.fetzer@jpl.nasa.gov
AF: JPL, California Institute of Technology 4800 Oak Grove Drive, Pasadena, CA 91109-8099 United States
AU: Steele, H M
EM: cox@atmos.ucla.edu
AF: UCLA, Department of Atmospheric Sciences 405 Hilgard Avenue 7127 Math Sciences Box 951565, Los Angeles, CA 90095-1565 United States
AU: Steele, H M
EM: cox@atmos.ucla.edu
AF: CSU Northridge, Department of Geography 18111 Nordhoff Street, Northridge, CA 91330-8249 United States
AB: A set of simulated nadir-oriented high-resolution infrared emission spectra of synthetic cirrus clouds is analyzed to asess the spectrally dependent variability of radiance from the adjustment of some microphysical and bulk cirrus cloud properties. A principal component analysis is applied to the simulated spectra to diagnose the cloud parameters that contribute most to the sensitivity in top-of-atmosphere radiance. The spectral shape and magnitude of empirical orthogonal functions (EOF) shows similarities and differences from one physical quantity to another. In certain cases, it is possible to identify the EOF that represents variability with respect to one or more physical quantities. For a set of simulations with simultaneous variation in the quantities of ice water path, water vapor mixing ratio, and effective radius over a set of effective radii 10s of microns and smaller, the sensitivity with respect to the joint variation of all quantities is well approximated by the sum of the sensitivities with respect to variations in each quantity separately. Effects of particle shape, cloud height and thickness, and atmospheric temperature on the shape and magnitude of the EOFs will be discussed as well. Comparisons of simulations with spectific cases of Atmospheric Infrared Sounder data containing cirrus clouds will be presented.
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
DE: 0305 Aerosols and particles (0345, 4801)
DE: 0365 Troposphere--composition and chemistry
DE: 3360 Remote sensing
DE: 3394 Instruments and techniques
SC: Hydrology [H]
MN: 2003 Fall Meeting