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GUIDE WAVE ANALYSIS AND FORECASTING - WMO

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Figure 3.7 —<br />

Structure of spectral energy growth.<br />

The upper curves show the components<br />

S nl, S in, and S ds. The lower<br />

curves are the frequency spectrum<br />

E(f), and the total growth curve S<br />

Energy density (E) Rate of growth (S)<br />

growth at a given frequency is dominated by the nonlinear<br />

wave-wave interaction. As a wind sea develops (or<br />

as we move out along a fetch) the peak frequency<br />

decreases. A given frequency, f e, will first be well below<br />

a peak frequency, resulting in a small amount of growth<br />

from the wind forcing, some non-linear interactions, and<br />

a little dissipation. As the peak becomes lower and<br />

approaches f e, the energy at f e comes under the influence<br />

of a large input from non-linear interactions. This can be<br />

seen in Figures 3.5 and 3.7 in the large positive region of<br />

S or S nl just below the peak. As the peak falls below f e<br />

this input reverses, and an equilibrium is reached<br />

(known as the saturation state). Figure 3.6 illustrates the<br />

development along a fetch of the energy density at such<br />

a given frequency f e.<br />

Although the non-linear theory can be expressed,<br />

as in Equation 3.4, the evaluation is a problem. The<br />

integral in Equation 3.4 requires a great deal of<br />

computer time, and it is not practical to include it in<br />

this form in operational wave models. Some wave<br />

models use the similarity of spectral shape, which is a<br />

manifestation of this process, to derive an algorithm so<br />

that the integral calculation can be bypassed. Having<br />

established the total energy in the wind-sea spectrum,<br />

these models will force it into a pre-defined spectral<br />

shape. Alternatively, it is now possible to use integration<br />

techniques and simplifications which allow a<br />

reasonable approximation to the integral to be evaluated<br />

(see the discrete interaction approximation (DIA)<br />

of Hasselmann and Hasselmann, 1981, Hasselmann<br />

and Hasselmann, 1985, and Hasselmann et. al., 1985;<br />

or the two-scale approximation (TSA) of Resio et al.,<br />

1992). These efficient computations of the non-linear<br />

<strong>WAVE</strong> GENERATION <strong>AND</strong> DECAY 41<br />

S n1<br />

S<br />

S in<br />

E (f)<br />

S ds<br />

transfer integral made it possible to develop third<br />

generation wave models which compute the non-linear<br />

source term explicitly without a prescribed shape for<br />

the wind-sea spectrum.<br />

Resonant weakly non-linear wave-wave interactions<br />

are only one facet of the non-linear problem.<br />

When the slopes of the waves become steeper, and the<br />

non-linearities stronger, modellers are forced to resort to<br />

weaker theories and empirical forms to represent<br />

processes such as wave breaking. These aspects have<br />

been mentioned in Section 3.4.<br />

3.6 General notes on application<br />

The overall source term is S = S in + S ds + S nl. Ignoring<br />

the directional characteristics (i.e. looking only at the<br />

frequency dependence), we can construct a diagram for<br />

S such as Figure 3.7. This gives us an idea of the relative<br />

importance of the various processes at different frequencies.<br />

For example, we can see that the non-linear transfer<br />

is the dominant growth agent at frequencies near the<br />

spectral peak. Also, for the mid-frequency range (from<br />

the peak to about twice the peak frequency) the growth<br />

is dominated by the direct input from the atmosphere.<br />

The non-linear term relocates this energy mostly to the<br />

lower frequency range. The dissipation term, so far as is<br />

known, operates primarily on the mid- and highfrequency<br />

ranges.<br />

The development of a frequency spectrum along a<br />

fetch is illustrated in Figure 3.8 with a set of spectra<br />

measured during the JONSWAP experiment. The downshift<br />

in peak frequency and the overshoot effect at each<br />

frequency are evident.<br />

f<br />

f

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