80 Principles of invariance
These are known as Chandrasekhar’s X- and Y- functions. The quantity ψ(µ)
is called the characteristic function which differs from problem to problem. The
numerical evaluation of the nonlinear integral equations (3.59) may be accom-
plished by an iteration procedure.
Obviously, for the case of isotropic scattering we obtain ψ(µ) = ω
0
/2. For
Rayleigh scattering the characteristic function ψ (µ) still has a fairly simple alge-
braic form. As pointed out by Liou (2002), for the more complicated forms of the
Mie-type phase functions, the characteristic functions are rather complicated and
are not available for practical applications.
Finally, we wish to point out that in case of conservative perfect scattering, i.e.
ω
0
= 1, the integral equations (3.59) are not sufficient to characterize the physical
situation uniquely. In the simple situation of isotropic scattering it is not particularly
difficult to resolve the ambiguity. We will refrain from further discussing this topic
and refer to Chapter IX of Chandrasekhar (1960) where a full treatment is given.
As stated above, for highly peaked Mie type phase functions it becomes increas-
ingly difficult to apply the principles of invariance to find exact solutions to trans-
fer problems. Even if we succeeded in obtaining such solutions, we are still
faced with the specification of realistic input data for atmospheric problems. In
practice, we are usually compelled to apply model data which may not always
be sufficient to simulate real physical situations. Thus the application of model
atmospheric data to an exact solution of a transfer problem at best results in an
approximation to the solution of a real physical problem. Usually the numerical
evaluation of the exact solution is difficult and time consuming, particularly if
the calculations have to be carried out at many wavelengths. Instead of evaluating
exact or quasi-exact solutions, for many practical purposes it might be sufficient
to use approximate methods. Usually these offer the advantage that they can be
quickly evaluated which is important in case of climate modeling and weather
prediction.
In the following chapters we will discuss various quasi-exact as well as some
approximate solution methods for the RTE at various levels of sophistication. Of
course, whenever possible the more exact solutions are used in order to test the
validity of the approximate methods.
3.6 Problems
3.1: Verify equation (3.34).
3.2: Verify equation (3.37).
3.3: Carry out all steps in detail in Section 4.4 to obtain (3.48).
3.4: Reduce (3.36) to the isotropic form (3.56).