Ten frequency bands, having equal widths on a logarithmic scale, between
0.0167 and 0.3 cycles per minute (T = 60 to 3.33 min) were studied. Within
this range, coherences between vertical velocity, w, and horizontal
velocities, ,
were high. This range contained approximately
of the mid-depth w signal variance. The ADCP signal to noise variance
ratio was approximately 20, where the noise level was estimated to be the
high-frequency noise floor of w. Vertical velocities were studied
because, when measured from a stable platform, they are a very sensitive
index of high-frequency internal wave variability (Marsden et al.,
1994), and are less likely to be contaminated by other dynamics, such as
barotropic eddies, than horizontal velocities. While w of long-wavelength
waves is much weaker than
,
the maxima of
of mode one waves occur near the surface and near the bottom. These regions
of the water column were not well-covered by the ADCPs, which sampled the
center 67 to 75% of the water column. In contrast, the single maximum of
w of mode one waves occurs near the thermocline. This maximum was
always detected by the ADCPs.
To isolate the mode one internal wave variability, the vertical velocities
at each mooring were decomposed into complex empirical orthogonal functions
(cEOFs) (Wallace and Dickinson, 1972) within each of the ten frequency
bands for consecutive blocks of data 212 minutes (2.84 days)
in duration. Some of the results of the cEOF analysis are briefly summarized
here. From 70 to 90% of the variance in each band was explained by the
first cEOF mode, ,
indicating the high frequency wavefield was dominated by mode one waves.
The vertical structure of
was consistent with mode one waves, having a single, mid-column maximum.
The average depth of this maximum varied approximately linearly from 7
to 12.5 m as water depth changed from 15 to 30 m. The relative phases between
and horizontal velocities in the upper and lower water column were consistent
with onshore propagation (
leading w by 90o near the surface, and lagging
w by 90o near the bottom). The square of the ratio
of major to minor axis horizontal velocities coherent with
(ellipticity) was as high as 16, and major axis angles were nearly cross-isobath,
consistent with uni-directional, cross-isobath propagating waves.
The variance of the amplitude of
as a function of frequency and water depth was calculated. For linear waves,
this variance is an estimate of
,
where
is the vertical velocity amplitude of the mode one internal wave at the
depth of maximum variance within the frequency band
.
Since cEOFs were estimated for consecutive ensembles of length 2.84 days,
a smoothed time series of the internal wave variance, summed over the frequency
range, was obtained (Fig. 1). The time series were quite coherent from
mooring to mooring, and the variance clearly decreased with decreasing
water depth. The frequency spectra of cEOF amplitude at each mooring had
a peak at approximately 0.11 cpm (T = 9 min) (Fig. 2). The amplitude of
this peak decreased with decreasing water depth, however, there was no
obvious frequency shift in the peak or change in the spectral shape. The
variance, summed over the frequency range, and averaged over ensembles,
decreased nearly monotonically with decreasing water depth (Fig. 3).
This decrease is well described by a simple shoaling model with linear
dissipation in which, for time independent propagation of waves up a beach
with constant slope, ,
the divergence of the energy flux is balanced by dissipation. Thus
![]() |
(1) |
in which E is the depth-integrated, time-averaged energy density,
and the substantial derivative is taken in a frame moving at the waves
group velocity, ,
so that
![]() |
(2) |
For a fluid with constant stratification, the amplitude, ,
of the wave consequently varies with water depth according to
![]() |
(3) |
where N is the buoyancy frequency of the fluid. For inviscid
progagation (r = 0), the amplitude is inversely proportional to
water depth. The variance would then increase by a factor of 4, as a wave
propagates from a water depth of 30 m to 15 m. This was clearly not observed
in our data. When linear dissipation is included in the model, the amplitude
may increase or decrease as the wave shoals, depending on the size of r.
We estimate r by minimizing the mean square error between the observed
variance at each depth, and the estimated variance using the above shoaling
model, the spectrum at 30 m (Fig. 2), and an assumed buoyancy frequency
of 0.263 cpm obtained from the estimated long-wave phase speed at different
water depths ( ).
The resulting estimates for r were 2.0
x 10-4 and 1.6 x
10-4 s-1for
1996 and 1997, respectively. These values correspond to decay time scales
of 1.4 and 1.8 hours, respectively, which are comparable to the typical
time (
hours) it takes a wave packet to pass from the 30 m to the 15 m moorings
(cross-shore distance = 1.5 km). Such time scales are consonant with those
use by Pringle and Brink, in prep., in somewhat deeper water depths.