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An observation ( by conventional sounding ) of temperature as a function of pressure was made at a meteorological station. The text file, gefd 2

An observation (by conventional sounding) of temperature as a function of pressure was made at a
meteorological station. The text file, gefd2024_hw3_data.txt, contains the data. A matlab code for
reading the data is given in the Appendix. The code and data will be posted separately. The first record
in the data (p =926.0 mb, T =5.9\deg C) is the measurement taken at the surface. The elevation of the
station is 650 m.(At the surface, the height is already z =650 m.)
(a) From the data, calculate and plot the vertical profiles of pressure (p), temperature (T), density (),
and potential temperature (\theta , using ps =926.0 mb as the reference pressure) as a function of height. If
tropopause is defined as the location with the minimum of temperature, what is the height (in meters)
of the tropopause for this observed profile?
(b) Calculate and plot the vertical profile of the lapse rate of temperature, \Gamma dT/dz, as a function of
height. Compare it to the dry adiabatic lapse rate, \Gamma d g/cp, and use this as the basis to discuss the
(dry) static stability of the atmospheric column. (Your result here should be consistent with the plot of
\theta (z) from Part (a). Note that the stability criterion, \Gamma <\Gamma d, is equivalent to d\theta /dz >0.)
Appendix: How to read the data for Problem 1
The data file, gefd2024_hw3_data.txt, is in plain text and consists of two columns for pressure (in
mb) and temperature (in \deg C). The following matlab code, also posted separately, can be used to read
the data into two arrays, p and T, each with 143 elements. The first pair of records, (p(1), T(1)), are the
pressure and temperature at the lowest elevation (or highest pressure), which is the surface. As a quick
reference, the matlab code also plots T as a function of p, as shown in the next page.
clear
fid1= fopen('gefd2024_hw3_data.txt','r');
for n =1:143
p(n)= fscanf(fid1,'%f7.1');
T(n)= fscanf(fid1,'%f7.1');
end
fclose(fid1);
plot(T,p,'r-','LineWidth',2)
axis([-802001000])
xlabel('T(p)(\circC)'); ylabel('p (mb)')
set(gca,'YDir','reverse')

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