13.5 Application of the Prandtl-layer theory in models 369
We will now summarize how we find the various MO functions. Suppose that
the function S
u
is known. An empirical formula for S
u
will be given soon. Then S
l
can be found either from (13.84) or from (13.88). S
then follows from (13.81) and
S
E
and S
W
from (13.67). The MO functions S
T
and S
q
(13.68) cannot be found in
this manner, but must be obtained in some other way.
From numerous measurements various empirical formulas have been derived for
the MO functions. Frequently the so-called Dyer–Businger equations are used to
state S
u
for stable, neutral, and unstable stratification. These are
S
u
= 1 + 5ξξ≥ 0, stable stratification
S
u
= (1 − 15ξ)
−1/4
ξ ≤ 0, unstable stratification
(13.89)
The MO function S
T
for the transport of sensible heat is usually given in the form
S
T
= (1 + 5ξ ) ξ ≥ 0, stable stratification
S
T
= (1 − 15ξ)
−1/2
ξ ≤ 0, unstable stratification
(13.90)
Moreover, often it is assumed that S
q
= S
T
.
A search of the literature shows that not all authors use identical empirical
equations for the MO functions but mostly something similar to them. Let us
now turn to the defining equation (13.35) of the Prandtl number. Measurements
show that, for neutral conditions, this number should be close to 1.35. Sometimes
the right-hand sides of (13.90) are multiplied by the factor 1/1.35 = 0.74. This,
however, would violate the requirement S
T
(ξ = 0) = 1.
13.5 Application of the Prandtl-layer theory in numerical prognostic models
A brief outline of how the Prandtl-layer theory can be applied to numerical weather
prediction and mesoscale analysis will be given. The lowest surface of the numerical
grid within the atmosphere is selected to coincide with the roughness height z
0
,
which is assumed to be known. A neighboring surface is fixed somewhere within
the Prandtl layer, for example, at the height h. We assume that the numerical model
is capable of calculating mean values of the horizontal velocity, the temperature (or
potential temperature), the density, the pressure, and the specific humidity at these
two surfaces. These mean variables are called the external parameters whereas L
∗
is known as an internal parameter. By the methods of the previous section we are
in a position to calculate all required MO functions. Let us assume that all of these
are at our disposal when needed. On integrating the relations (13.66) and (13.68)
between the roughness height z
0
and h we find