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High-resolution wave climate analysis in the Helgoland area - GKSS

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2.1 Methods, data and tools 7<br />

For <strong>the</strong> <strong>wave</strong> simulation <strong>in</strong> this study <strong>the</strong> K-model is used, which is a third generation<br />

spectral <strong>wave</strong> model adapted to small-scale shallow water applications. Third generation<br />

models are characterized by <strong>the</strong> transition to full two-dimensional discretization of <strong>the</strong><br />

<strong>wave</strong> spectrum <strong>in</strong>stead of artificial separation of <strong>the</strong> w<strong>in</strong>d and swell parts of spectrum. The<br />

development of third generation models started <strong>in</strong> mid 1980s by WAMDI Group [1988]. This<br />

approach has been successfully used for <strong>the</strong> major part of spectral <strong>wave</strong> models constructed<br />

for both open ocean applications (e.g. WAM-cycle4 (Gün<strong>the</strong>r et al. [1992])) and smallscale<br />

and shallow water applications (e.g. high-<strong>resolution</strong> version of WAM (Monbaliu et al.<br />

[2000]) or SWAN (Ris et al. [1999])). The K-model was developed on <strong>the</strong> basis of <strong>the</strong><br />

WAM-cycle4 model with some changes aim<strong>in</strong>g ma<strong>in</strong>ly at <strong>the</strong> adaptation of <strong>the</strong> model to<br />

small-scale coastal zone applications. With <strong>the</strong> <strong>in</strong>creas<strong>in</strong>g spatial and time <strong>resolution</strong>s and<br />

consideration of <strong>area</strong>s with shallow water and complex topography, <strong>the</strong> model faces <strong>the</strong><br />

problems of <strong>in</strong>homogeneity and non-stationarity of external fields. The ma<strong>in</strong> part of <strong>the</strong><br />

<strong>wave</strong> <strong>the</strong>ory was developed for idealized conditions which can be accepted for <strong>the</strong> most of<br />

medium-scale deep-water applications but need a strong revision and adaptation to <strong>the</strong> nearshore<br />

small-scale environment. The changes between WAM and K-model <strong>in</strong>clude transitions<br />

from <strong>the</strong> frequency-direction (f, θ) to <strong>the</strong> <strong>wave</strong>number-direction (k, θ) doma<strong>in</strong>. This allows<br />

avoid<strong>in</strong>g additional multipliers with partial time derivatives <strong>in</strong> <strong>the</strong> balance equation, which<br />

is crucial <strong>in</strong> non-stationary cases (Schneggenburger [1998]). Ano<strong>the</strong>r difference is related<br />

to <strong>the</strong> form of <strong>the</strong> source function. Non-l<strong>in</strong>ear <strong>wave</strong>-<strong>wave</strong> <strong>in</strong>teractions have been neglected<br />

follow<strong>in</strong>g <strong>the</strong> reason<strong>in</strong>g of Schneggenburger [1998], who argued that <strong>in</strong> shallow water <strong>the</strong><br />

assumptions of homogeneity for <strong>the</strong> application of this <strong>the</strong>ory are violated. Instead, a nonl<strong>in</strong>ear<br />

dissipation source function (Gün<strong>the</strong>r and Rosenthal [1997] or Schneggenburger et al.<br />

[1997]), account<strong>in</strong>g for <strong>the</strong> dissipation by <strong>wave</strong> turbulence, is used. In <strong>the</strong> K-model energy<br />

<strong>in</strong>put by w<strong>in</strong>d is parameterized by a modified Philips l<strong>in</strong>ear function (Cavaleri and Rizzoli<br />

[1981]) and a modified Snyder exponential function (WAMDI Group [1988]) similar to <strong>the</strong><br />

WAM model. Bottom dissipation is taken <strong>in</strong>to account accord<strong>in</strong>g to Hasselmann et al.<br />

[1973].<br />

The modeled and measured <strong>wave</strong> fields were orig<strong>in</strong>ally given <strong>in</strong> <strong>the</strong> form of a <strong>wave</strong><br />

spectrum but for practical reasons different representations of spectrum or <strong>in</strong>tegrated parameters<br />

are used. This provides <strong>the</strong> opportunity to relate model results to observed data <strong>in</strong><br />

a sense that <strong>in</strong>tegrated parameters can be easily statistically <strong>in</strong>terpreted as characteristics<br />

of <strong>the</strong> sea state. The most usable <strong>in</strong>tegrated parameters are <strong>the</strong> moments mn:<br />

�<br />

mn = F (f, θ)f n dfdθ, n = −1, 0, 1, 2<br />

and quantities related to <strong>the</strong>m. The zeroth order moment m0 is <strong>the</strong> total variance of<br />

<strong>the</strong> spectrum which proportional to <strong>the</strong> total energy and def<strong>in</strong>es ano<strong>the</strong>r frequently used<br />

<strong>in</strong>tegrated parameter <strong>the</strong> significant <strong>wave</strong> height (SWH):<br />

Hs = 4 √ m0<br />

which corresponds to <strong>the</strong> mean of <strong>the</strong> highest third of <strong>the</strong> observed <strong>wave</strong>s (Longuett-Higg<strong>in</strong>s<br />

et al. [1963]). Different <strong>in</strong>tegrated periods can also be useful. The peak period Tp is def<strong>in</strong>ed

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