Model Coupling

Introduction

CMS-Flow and CMS-Wave can be run separately or coupled together using a process called steering. The variables passed from CMS-Wave to CMS-Flow are the significant wave height, peak wave period, wave direction, wave breaking dissipation, and radiation stress gradients. CMS-Wave uses the update bathymetry, water levels, and currents from CMS-Flow. The time interval (constant) at which CMS-Wave is run is called the steering interval. The steering process is as follows:

1. CMS-Wave model is run for the first two time steps (time = $t$ and time = $t+\Delta t_{w}$) and the wave information is passed to CMS-Flow.

2. CMS-Flow runs from time = $t$ until time = $t+\Delta t_{w}+\Delta t$ and interpolates the wave variables from during the simulation

3. CMS-Wave is run again for time = $t+2\Delta t_{w}$ and

4. The process is repeated over until the end of the steering simulation.

Prediction of Water Levels and Currents

Because CMS-Wave requieres the water surface elevation at times that are ahead of the hydrodynamics, the water surface elevation and currents. If the steering is relatively small (~<30 min), than the values from the previous time step may be used without significant error. This may be expressed in the following form

     $\eta (x,y)^{n+1}=\eta (x,y)^{n}$  

where $\eta (x,y)$ is the water surface elevation and $n$ indicates the CMS-Wave time step.

However, in many coastal engineering projects it is desirable and common to use relatively large steering intervals of 2-3 hours and 3 hours is especially common since many wave buoy data products are at 3 hour intervals. In cases where the relative surface gradients at any time are much smaller than the mean tidal elevation, a better approximation of water level may be obtained by decomposing the water level into

     $\eta (x,y)^{n+1}={\bar {\eta }}(x,y)^{n+1}+\eta ^{\prime }(x,y)^{n+1}$  

where ${\bar {\eta }}$ is the mean water level, and $\eta ^{\prime }$ is the component due to tidal, wave, and wind generated surface gradients. ${\bar {\eta }}$ can be estimated from water level boundary conditions and is generally much larger, so $\eta ^{\prime }$ may be neglected. For some cases in which the surface gradients do not vary significantly over time (open coast beach), the second term may be approximated as

    $\eta ^{\prime }(x,y)^{n+1}\approx \eta ^{\prime }(x,y)^{n}={\bar {\eta }}(x,y)^{n}-\eta (x,y)^{n}$.

Symbol	Description	Units
$\eta$	Water surface elevation	m

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