Due Tuesday Jan 15th
In this data set you will analyse an airborne data set of California
stratocumulus
cloud properties measured by the University of Washington Cloud and
Aerosol Research Group in June 1994.
- In a parcel of moist air, the total water mass is
where
and
are the vapor and
condensed water mixing ratios,
respectively. Under adiabatic transformations,
is
conserved.
- Derive an expression for the adiabatic liquid water content (
)
in a cloud as a function of height.
- Using boundary layer profile data from flights 1641 and 1642 plot
the liquid water content (Use the PVM-100A measurements) versus
altitude,
together with a line showing the adiabatic liquid water content for
the cloud. Here is a description for
each column of the data set.
- Plot average size distributions for each profile. These
should be
on a log-log plot in the form
. This is calculated
taking
in each size bin for the FSSP-100 and 1-D
cloud probe
data, and dividing it by the logarithmic difference for the bin limits for each size bin for each
instrument, e.g.
One should then plot
against the median
diameter
for each bin
.
- What is the difference between these two profiles and size
distributions?
Is there a physical link between the size distribution and the
departure
from adiabaticity in the profile? Can you suggest an explanation?
Data provided courtesy of Peter V. Hobbs and the Cloud and Aerosol Research Group, University of
Washington