Geoscience Reference
In-Depth Information
where
ω
p
is the localised frequency at the local energy peak,
ω
n
is the cutoff frequency,
and
λ
L
is a number that
Liu
(
1993
) introduced to denote the start of the frequency range
covering the wave-breaking process. We generally carry cut-off frequency up to 2.5 times
the peak frequency. The value of
1, for example,
means that we expect waves of peak frequency and higher to be breaking and there-
fore disregard the contribution of those below
λ
L
usually lies between 0 and 2.
λ
L
=
ω
p
in the determination of the character-
istic wave.
For the local
in an
initial application. Another approach was employed in
Liu & Babanin
(
2004
) which was
based on considering the case of a simple monochromatic wave that has an acceleration
A
instantaneous amplitude
a
,
Liu
(
1993
)used
a
i
=
η (
t
i
)
−
η
2
cos
, in order to infer that an appropriate characteristic amplitude at local
instantaneous time
t
i
should be given as
σ
(ω
t
+
ϕ)
a
i
=
A
i
cos
(
p
i
).
(3.36)
η
(
Here, the local amplitude
A
i
is obtained from the analytic envelope signal of
t
i
)
by
means of a Hilbert transform:
A
i
=|
Hilbert
(η
i
)
|
,
(3.37)
and the local phase
p
i
can be obtained from the wavelet spectrum
W
η
(ω,
)
.
In order to get the phase information of the time series, the mother wavelet to be used
should necessarily be a complex one such as the Morlet wavelet shown above. So the
calculation of the phase is given as
t
tan
−
1
W
)
η
(ω,
t
W
)
p
(ω,
t
)
=
(3.38)
η
(ω,
t
and thus the local phase
p
i
can be obtained from averaging the local wavelet phase spec-
trum at each
t
ω
n
.
Sample results of the average frequency and local amplitude as obtained from
(3.35)
and
(3.36)
respectively, using
=
t
i
over the same range between
λ
L
ω
p
and
1 (that is, waves of the peak frequency and above are
expected to break (
Babanin
et al.
,
2001
)), are shown in the middle and bottom panels
of
Figure 3.13
for the Lake George waves. There remains to be determined the limiting
fraction
λ
L
=
as the threshold for wave breaking that can be rendered through assimilation
with the measured data.
Liu & Babanin
(
2004
) tested the breaking-detection approach suggested by
Liu
(
1993
)
and determined factor
γ
on the basis of field data. The data were obtained under a variety
of wind-wave conditions in deep water in the Black Sea and in a finite-depth environ-
ment in Lake George, Australia. The two data sets included time series of surface ele-
vations, with breaking waves marked. Both had been extensively used to study breaking
statistics, and detailed descriptions of the breaking detection procedure as well as of rele-
vant environmental conditions for the Black Sea experiment are given in
Babanin
(
1995
),
Babanin & Soloviev
(
1998a
),
Banner
et al.
(
2000
) and
Babanin
et al.
(
2001
). The Lake
George field experiment was described in detail in
Section 3.5
(see also
Young
et al.
,
γ
Search WWH ::
Custom Search