Robert Wood
Journal of the Atmospheric Sciences, in press
Detailed observations of stratiform boundary layer clouds on twelve days are examined with specific reference to drizzle formation processes. The clouds differ considerably in mean thickness, liquid water path ($LWP$) and droplet concentration. Cloud base precipitation rates differ by a factor of 20 between cases. The lowest precipitation rate is found in the case with the highest droplet concentration even though this case had by far the highest $LWP$, suggesting that drizzle can be severely suppressed in polluted clouds.
The vertical and horizontal structure of cloud and drizzle liquid
water and bulk microphysical parameters are examined in detail. In
general, the highest concentration of $r>20 \mu$m drizzle drops is
found towards the top of the cloud and the mean volume radius of the
drizzle drops increases monotonically from cloud top to base. The
resulting precipitation rates are largest at the cloud base but
decrease markedly only in the upper third of the cloud. Below cloud,
precipitation rates decrease markedly with distance below base due to
evaporation, and are broadly consistent in most cases with the results
from a simple sedimentation-evaporation model. Evidence is presented
that suggests evaporating drizzle is cooling regions of the subcloud
layer which could result in dynamical feedbacks. A composite power
spectrum of the horizontal spatial series of precipitation rate is
found to exhibit a power-law scaling from the smallest observable
scales to close to the maximum observable scale ($\sim$~30~km). The
exponent is considerably lower (1.1-1.2) than corresponding exponents
for $LWP$ variability obtained in other studies ($\sim$~1.5-2)
demonstrating that there is relatively more variability of drizzle on
small scales. Singular measures analysis shows that drizzle fields are
much more intermittent than the cloud liquid water content fields,
consistent with a drizzle production process that depends strongly
upon liquid water content. The adiabaticity of the clouds, which can
be modeled as a simple balance between drizzle loss and turbulent
replenishment, is found to decrease if the timescale for drizzle loss
is shorter than roughly 5-10 eddy turnover timescales. Finally, the
data are compared with three simple scalings derived from recent observations of drizzle in
subtropical stratocumulus clouds.