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Microphysical and dynamical controls on cirrus cloud optical depth distributions
Author(s) -
Kay Jennifer E.,
Baker Marcia,
Hegg Dean
Publication year - 2006
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2005jd006916
Subject(s) - cirrus , supersaturation , ice crystals , homogeneous , atmospheric sciences , optical depth , cloud physics , environmental science , ice cloud , physics , radiative transfer , meteorology , thermodynamics , aerosol , optics , cloud computing , computer science , operating system
We assess microphysical and dynamical controls on cirrus cloud optical depth distributions [P( σ )] along idealized air parcel trajectories. We find P( σ ) shape depends primarily on the ratio of the ice crystal fallout timescale to timescales of other microphysical and dynamical processes. With homogeneous freezing only, two P( σ ) regimes emerged. In the limited fallout regime, relatively slow fallout allows complete depletion of the ice supersaturation, and P( σ ) has a peak at large optical depth values ( σ > 1). In contrast, in the fallout‐dominated regime, relatively rapid fallout results in persistent high‐ice supersaturation and multiple freezing events, and P( σ ) has a monotonically decreasing shape dominated by small optical depth values. The addition of heterogeneous freezing alters the homogeneous‐freezing P( σ ) shape only in the limited fallout regime. Here glaciated ice nuclei (IN) do not inhibit homogeneous freezing but can change P( σ ) by reducing the optical depth of the P( σ ) peak and adding a monotonically decreasing tail at low optical depth values. Surprisingly, glaciated IN do not significantly change P( σ ) values or shape in the fallout‐dominated regime. Fluctuations in vertical velocity and accompanying temperature changes have relatively little impact on P( σ ) unless the fluctuation timescales are shorter than fallout timescales, but longer than ice crystal growth timescales. As temperature fluctuations increase in amplitude, new freezing events affect P( σ ) as long as fluctuation timescales approach or exceed freezing timescales. Our modeled P( σ ) qualitatively resemble observed P( σ ), indicating these results could aid in GCM cirrus P( σ ) parameterization and help diagnose the controls on cirrus P( σ ).

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