Mixing plays an important role in atmospheric and oceanic flows. It occurs
on the small scales, is due to molecular diffusion, and is irreversible. On
the other hand, stirring is a kinematic process that enhances mixing but i
s reversible. Budgets of the available potential energy, which require that
the reference potential energy be computed, are used to study these proces
ses. We develop an approach for calculating the available potential energy
from the probability density function that is more efficient than existing
methods, especially in two and three dimensions. It is suitable for applica
tion to both numerical simulations and experiments. A new length scale is d
efined which quantifies stirring and provides a measure of the strength of
overturns resulting from stirring as well as their size. Simulations of lid
-driven cavity flow and stratified homogeneous turbulent shear flow provide
illustrations of the method. The new length scale is similar to Thorpe sca
le in lid-driven cavity flow and closely related to the Ellison scale in ho
mogeneous sheared turbulence. (C) 2001 American Institute of Physics.