HR: 1340h
AN: A13B-0910 [Abstracts]
TI: What Controls Cirrus Cloud Optical Depth Distributions?
AU: * Kay, J E
EM: jenkay@u.washington.edu
AF: University of Washington, Dept. of Earth and Space Sciences, Seattle, WA 98195
United States
AU: Baker, M
EM: marcia@ess.washington.edu
AF: University of Washington, Dept. of Earth and Space Sciences, Seattle, WA 98195
United States
AU: Baker, M
EM: marcia@ess.washington.edu
AF: University of Washington, Dept. of Atmospheric Sciences, Seattle, WA 98195
United States
AU: Hegg, D
EM: deanhegg@atmos.washington.edu
AF: University of Washington, Dept. of Atmospheric Sciences, Seattle, WA 98195
United States
AU: Turner, D
EM: dave.turner@pnl.gov
AF: Pacific Northwest National Labs, PO Box 999, MS K9-24, Richland, WA 99354
United States
AB:
Understanding the controls on cirrus cloud optical depth distributions [P(σ)] is critical for calculating cirrus cloud
radiative impacts. Using an adiabatic parcel model with binned ice microphysics, we assess the influence of microphysical
(nucleation, growth and fallout) and dynamical (constant updraft, idealized waves) processes on P(σ). For various
sets of model initial conditions, we find P(σ) shape depends primarily on the ice crystal fallout timescale. At small
updraft velocities, short fallout timescales allow ice crystals to fall out before depleting the ice super-saturation
(Si). Thus, regardless of the ice nuclei (IN) concentration, high Si persists and multiple homogeneous nucleation
events occur. In this fallout-dominated regime, P(σ) has a monotonically decreasing shape. In contrast, at large
updraft velocities, long fallout timescales resulting from large homogeneous nucleation rates allow complete depletion of the
Si and limited ice crystal fallout. In this limited-fallout regime, P(σ) has a skewed peak at high optical
depth values. When glaciated IN are added to the limited-fallout regime evolution, they do not inhibit homogeneous
nucleation, but they can reduce the maximum Si and number concentration of ice crystals. The limited-fallout
P(σ) with glaciated IN has an additional monotonically decreasing tail at low optical depth values. Superimposed
oscillations in vertical velocity can broaden P(σ) for limited-fallout regime cirrus. With large temperature
displacements, vertical velocity waves can also generate the high Si required for new homogeneous nucleation events that
influence P(σ). To complement our parcel model results, we calculate cirrus timescales, thicknesses, and P(σ)
using 4000+ hours of raman lidar depolarization and optical depth observations from Lamont, OK (USA). Preliminary results
indicate modeled P(σ) resemble P(σ) observations, suggesting P(σ) shapes can be explained in terms of
microphysical and dynamical processes included in our parcel model trajectories. Using modeled P(σ) and atmospheric
profiles, we will further assess which microphysical and dynamical processes could contribute to the observed inhomogeneity
statistics and P(σ).
UR: http://students.washington.edu/jenkay/
DE: 0320 Cloud physics and chemistry
DE: 1626 Global climate models (3337, 4928)
DE: 3311 Clouds and aerosols
DE: 3359 Radiative processes
DE: 3360 Remote sensing
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005