HR: 0800h
AN: A21C-0760    [Abstracts]
TI: Inference of Cirrus Cloud Properties Using ARM Data
AU: * Kinney, J A
EM: jak0203@ariel.met.tamu.edu
AF: Department of Atmospheric Sciences, Texas A&M University, 3150 TAMU, College Station, TX 77843 United States
AU: Yang, P
EM: pyang@ariel.met.tamu.edu
AF: Department of Atmospheric Sciences, Texas A&M University, 3150 TAMU, College Station, TX 77843 United States
AU: Ji, Q
EM: ji@climate.gsfc.nasa.gov
AF: Earth System Science Interdisciplinary Center, University of Maryland, 2207 Computer and Space Sciences Bldg., College Park, MD 20742 United States
AU: Ji, Q
EM: ji@climate.gsfc.nasa.gov
AF: NASA Goddard Space Flight Center, Mail Stop Code 913, Greenbelt, MD 20771 United States
AU: Tsay, S
EM: si-chee.tsay-1@nasa.gov
AF: NASA Goddard Space Flight Center, Mail Stop Code 913, Greenbelt, MD 20771 United States
AB: The properties of cirrus clouds are inferred over the Atmospheric Radiation Measurement (ARM) site of the Southern Great Plaines. The background (clear-sky) optical thickness is first determined by matching the calculated radiance to measured radiance using the gamma-fitting technique developed by Smith et al. (1993). Next, we generate a look-up table of cloud optical thickness and particle effective size. We do this by inserting an ice cloud layer, and varying the optical thickness and particle effective size. We can then infer the cloud properties over our site by comparing the measured Atmospheric Emitted Radiance Interferometer (AERI) data with the look-up library.
DE: 0399 General or miscellaneous
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting