Fig. 4. An illustration of the correlations that arise in random
Vg and Vw data as a function of
variance Vg/variance Vw and
-
. (A)
-
=45°, (B)
-
=135°. In
all cases, the variance of Vw =4 m2
s-2. In the top row, Vg does not vary. In the
second row, variance of Vg =1 m2 s-2
and in the bottom row, variance of Vg =4 m2
s-2. Va is calculated on the basis of
Vg,
, Vw and
.