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so to leading order the droplet velocity divergence is
4 s ij s ij
r ij r ij ,
∂v i
τ d ∂u i
∂x j
∂u j
τ d
∂x i =−
∂x i =−
(7.51)
where we have used u i,j
r ij , the sum of strain- and rotation-rate tensors,
Eq. (2.73) . Equation (7.51) says that strong local vorticity causes positive cloud
droplet divergence; weak local vorticity causes negative divergence, droplet con-
gregation, and therefore higher droplet collision rates. The variance of this droplet
velocity divergence is
=
s ij
+
∂u
∂x
2 2
τ d F ∂u/∂x
2
∂v i
∂x i
∂v j
∂x j =
∂u i
∂x j
∂u j
∂x i
∂u k
∂x m
∂u m
∂x k
τ d
τ d F ∂u/∂x
,
ν
(7.52)
where we have expressed the contracted derivative tensor in terms of F ∂u/∂x .As Fig-
ure 7.5 i ndicates, that flatness factor increases with the turbulence Reynolds number
and so is very much larger in cumulus clouds than in laboratory experiments, say.
7.5 Two-dimensional turbulence
Two-dimensional turbulence, flow confined to a plane, has been used as a model
for the largest scales of motion in the atmosphere. As we shall see it shares features
with three-dimensional turbulence and is much more accessible computationally.
7.5.1 Vorticity and conserved scalars
We'll consider motion in an x,y plane:
u i = u(x,y,t), v(x,y,t), 0 . Vorticity
can have only a component normal to the plane:
ω 3 (x,y,t) . As a
result the vortex-stretching term in the vorticity equation (1.28) is identically zero
and the equation reads
= 0 , 0 ,
ω i
˜
˜
2
D ω 3
∂ ω 3
u i ∂ ω 3
ω 3
Dt =
∂t
∂x i =
ν
∂x i ∂x i ,
(7.53)
which is identical to Eq. (1.31) for a conserved scalar. The absence of a vortex-
stretching term in Eq. (7.53) makes the velocity field in two-dimensional turbulence
differ in some striking ways from that in three-dimensional turbulence ( Tennekes ,
1978 ).
The gradient g i =
c ,i of a conserved scalar c satisfies
D
g i
Dt
˜
g i,t
u j ˜
g i,j
=−˜
u j,i ˜
g j +
ν
g i,jj .
˜
(7.54)
 
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