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A Numerical Model for the Ice/Ocean Boundary Layer

A numerical model approach for simulating the IOBL is presented in this chapter. The staggered grid and implicit solution algorithms are patterned closely on techniques I learned while collaborating with George Mellor when we were both occupying visiting research chairs at the Naval Postgraduate School in Monterey, California. They were first used to model the IOBL with the Mellor-Yamada “level 21/2” second-moment closure (Mellor and Yamada 1982; Mellor et al. 1986) and later adapted to the first-order closure based on similarity scaling (McPhee et al. 1987). The latter is accomplished by expressing eddy viscosity and eddy diffusivity as the product of a local scale velocity and mixing length. It is essentially an implementation of the scaling principles described in Chapter 5, and will hereafter be referred to as local turbulence closure (LTC). LTC differs from the Mellor-Yamada and so-called kε (e.g., Burchard and Baumert 1995) models in that the length scales are based on a combination of measurements and similarity theory, rather than derived from separate TKE and master length scale conservation equations. A practical impact is that the LTC model eliminates the need to carry these equations in the solution.

We start with a review of a fairly standard leap-frog-in-time, implicit solution technique on a staggered vertical grid, and explore various approaches to specifying boundary conditions. We then discuss the algorithms for calculating the mixing length and eddy viscosity under varying conditions of buoyancy flux in the IOBL, and match the fluid model to an algorithm implementing the interface conditions described in Chapter 6. The model is exercised for several examples in Chapter 8.

Keywords

Eddy Viscosity Eddy Diffusivity Stagger Grid Naval Postgraduate School Numerical Model Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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