Abstract
A comparison is made between the methods for solving the stochastic
collection equation of Berry and Reinhardt, using 72 categories, and the
method of moments as improved by Tzivion et al., using only 36 classes.
The computations, carried out for different kernels and several initial
mean drop radii, showed that the numerical acceleration inherent to the
Bleck's method is also present in the approach of Tzivion et al., but in
a weaker form. This acceleration depends on the type of kernel and, for
cloud conditions allowing coalescence development, it remains between
acceptable limits and decreases with time. When the method of moments is
run for 72 categories, the numerical acceleration practically
disappears. Although, in terms of mass storage, the requirements of both
methods are the same, in terms of computational speed, this approach has
advantages over Berry and Reinhardt's method for use in cloud models
with detailed description of microphysical processes.
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