HR: 1340h
AN: A43B-0075    [Abstracts]
TI: A Fast Thin Cirrus Radiative Transfer Model Applied to AIRS Spectra for Cloudy Data Assimilation
AU: * Yue, Q
EM: qingyue@atmos.ucla.edu
AF: Dept. of Atmospheric and Oceanic Sciences, University of California, Los Angeles, University of California, Los Angeles Department of Atmospheric and Oceanic Sciences 405 Hilgard Ave Box 951565 7127 Math Sciences Bldg., Los Angeles, CA 90095-1565 United States AU: Liou, K
EM: knliou@atmos.ucla.edu
AF: Dept. of Atmospheric and Oceanic Sciences, University of California, Los Angeles, University of California, Los Angeles Department of Atmospheric and Oceanic Sciences 405 Hilgard Ave Box 951565 7127 Math Sciences Bldg., Los Angeles, CA 90095-1565 United States AU: Ou, S C
EM: ssou@atmos.ucla.edu
AF: Dept. of Atmospheric and Oceanic Sciences, University of California, Los Angeles, University of California, Los Angeles Department of Atmospheric and Oceanic Sciences 405 Hilgard Ave Box 951565 7127 Math Sciences Bldg., Los Angeles, CA 90095-1565 United States AU: Kahn, B H
EM: brian.h.kahn@gmail.com
AF: Jet Propulsion Laboratory, Jet Propulsion Laboratory 4800 Oak Grove Drive, Pasadena, CA 91109 United States
AU: Yang, P
EM: pyang@ariel.met.tamu.edu
AF: Department of Atmospheric Sciences, Texas A&M University, Department of Atmospheric Sciences, Texas A&M University 3150 TAMU, College Station, TX 77843-3150 United States
AU: Mace, G G
EM: mace@met.utah.edu
AF: University of Utah Department of Meteorology, University of Utah Department of Meteorology 135 S 1460 E, Rm 819, Salt Lake City, UT 84112-0110 United States
AB: We have developed a thin cirrus cloud radiative transfer (RT) model with potential application to satellite cloudy data assimilation in association with numerical weather prediction models. This RT model was constructed by combining the operational OPTRAN RT model, developed for spectral line calculations in clear atmospheres, and a thin cirrus cloud parameterization using the ice crystal optical properties for nine CEPEX size distributions and eleven ice crystal shape models. We have carried out a sensitivity study and show that cirrus cloudy radiances in the 800-1150 cm-1 thermal IR window are sensitive to cloud optical depth and ice crystal size and shape. This model was applied to the Atmospheric Infrared Sounder (AIRS) instrument onboard the EOS-Aqua satellite, using the thermal IR window channels to interpret clear and thin cirrus cloudy spectra. Five clear and fifteen thin cirrus cloudy nighttime scenes over the ARM tropical Western Pacific site of Manus Island and the surrounding ocean have been chosen for this study. We will present the simulated and observed spectra for clear and cloudy scenes and compare the AIRS-inferred cirrus cloud optical depth and particle size to those determined from collocated ground-based millimeter-wave cloud radar measurements, as an independent validation. Finally, we discuss the use of AIRS spectral data for improvement of the cirrus cloud parameterization in climate and weather prediction models.
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
DE: 1640 Remote sensing (1855)
DE: 3300 ATMOSPHERIC PROCESSES
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005