Many long-lived stratospheric chemical constituents enter the stratosphere
through the tropical tropopause, are transported throughout the stratospher
e by the Brewer-Dobson circulation, and are photochemically destroyed in th
e upper stratosphere. These chemical constituents, or "tracers," can be use
d to track mixing and transport by the stratospheric winds. Much of our und
erstanding about the stratospheric circulation is based on large-scale grad
ients and other spatial features in tracer fields constructed from satellit
e measurements. The point of view presented in this paper is different, but
complementary, in that transport is described ill terms of tracer probabil
ity distribution functions. The probability distribution function is comput
ed from the measurements and is proportional to the area occupied by tracer
values in a given range. The flavor of this paper is tutorial, and the ide
as are illustrated with several examples of transport-related phenomena, an
notated with remarks that summarize the main point or suggest new direction
s. The examples illustrate how physically based statistical analysis can sh
ed some light on aspects of stratospheric transport and dynamics that may n
ot be obvious or quantifiable with other types of analyses. The dependence
of the statistics on location and time is also shown to be important for pr
actical problems related to statistical robustness and satellite sampling.
An important motivation for the work presented here is the need for synthes
is of the large and growing database of observations of the atmosphere and
output generated by atmospheric models.