Abstract
JOURNAL OF GEOPHYSICAL RESEARCH,
VOL. 113,
D10201,
18 PP., 2008
doi:10.1029/2007JD009315
Parameterization of continental boundary layer clouds
Department of Earth Sciences, Florida International University, Miami, Florida, USA
College of Physical and Environmental Oceanography, Ocean University of China, China
Large eddy simulations (LESs) of continental boundary layer clouds (BLCs) observed at the southern Great Plains (SGP) are
used to study issues associated with the parameterization of sub-grid BLCs in large scale models. It is found that liquid
water potential temperature
l and total specific humidity q t , which are often used as parameterization predictors in statistical cloud schemes, do not share the same probability distribution
in the cloud layer with
l skewed to the left (negatively skewed) and q t skewed to the right (positively skewed). The skewness and kurtosis change substantially in time and space when the development
of continental BLCs undergoes a distinct diurnal variation. The wide range of skewness and kurtosis of
l and q t can hardly be described by a single probability distribution function. To extend the application of the statistical cloud
parameterization approach, this paper proposes an innovative cloud parameterization scheme that uses the boundary layer height
and the lifting condensation level as the primary parameterization predictors. The LES results indicate that the probability
distribution of these two quantities is relatively stable compared with that of
l and q t during the diurnal variation and nearly follows a Gaussian function. Verifications using LES output and the observations
collected at the Atmospheric Radiation Measurement (ARM) Climate Research Facility (ARCF) SGP site indicate that the proposed
scheme works well to represent continental BLCs.
Received 23 August 2007; accepted 1 February 2008; published 16 May 2008.
Citation: (2008), Parameterization of continental boundary layer clouds, J. Geophys. Res., 113, D10201, doi:10.1029/2007JD009315.
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