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buoyant production is generally smaller, and the loss terms are turbulent trans-
port and pressure destruction. In the bottom-up budget buoyant production, not
mean-gradient production, is the principal source; mean-gradient production and
turbulent transport are generally smaller, and the principal loss term is pressure
destruction.
11.3.1.2 Scalar variances
With the top-down, bottom-up decomposition (11.21) we can write the variance of
a passive, conserved scalar c as
c t
c b .
c 2
=
+
2 c t c b +
(11.27)
The simplest scaling hypothesis that accounts for the scalar flux a t m ixed-layer top
takes the governing param ete rs for c t statistics to be w , z i ,and cw 1 ; those f or c b
stati stic s to be w , z i ,and cw 0 ; and those for their joint statistics to be w , z i , cw 0 ,
and cw 1 . Thus from Eq. (11.27) Moeng and Wyngaard ( 1984 )wrote
cw 1
w
2
2 cw 0 cw 1
w 2
f tb (z/z i )
cw 0
w
2
c 2
=
f t (z/z i )
+
+
f b (z/z i ).
(11.28)
They found that in midlayer f b
6 .
The correlation coefficient of the top-down and bottom-up scalar fields is
1 ,f tb
1 ,f t
c t c b
c t c b 1 / 2
f tb
r tb =
=
(f t f b ) 1 / 2 sgn (cw 0 cw 1 ),
(11.29)
where sgn means “the sign of.” Moeng and Wyngaard ( 1984 ) found that
0 . 5
in mid-CBL. The positive sign of f tb has interesting implications. For example, if
two spec ies are diffu sing into the mixed layer, one from above and one from below,
then cw 0 is positive, cw 1 is negative, and in midlayer r tb
| r tb |∼
0 . 5. If the two species
undergo a binary reaction, the mean reaction rate is
mean reaction rate
∝ ˜
c 1 ˜
c 2 =
C 1 C 2 +
c 1 c 2 .
(11.30)
Because Eq. (11.29) says that c 1 c 2 is negative here, the mean reaction rate is less
than the mean concentrations would indicate.
We saw in Figure 11.13 that the top-dow n an d bo tto m-up scalar flux budgets have
sig ni ficant bu oyant-production terms. For and wc these terms are proportional
to θ 2 and θc , respectively. By using the top-down and bottom-up decomposition
 
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