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- \chapter{Slab Ocean Model}
- The slab ocean model consists of a prognostic equation at each ocean
- point for the oceanic mixed-layer temperature $T_{mix}$.
- The prognostic equation for $T_{mix}$ is given by
- \begin{equation}
- \frac{dT_{mix}}{dt} = \frac{Q_A+Q_O}{\rho_w c_{p_w} h_{mix}}
- \end{equation}
- where $\rho_w$ (=1030kg/m$^3$) is the density and $c_{pw}$ (=4180J/kg/K)
- the heat capacity of ocean water.
- $h_{mix}$ is a prescribed ocean mixed layer depth (default = 50m).
- $Q_A$ denotes the net atmospheric heat flux into the ocean
- which consists of the net solar and long wave radiation
- and the sensible and latent heat fluxes.
- The ocean mixed layer heat flux ($Q_O$) represents the oceanic transport and
- the deep water exchange. Commonly $Q_O$ is prescribed from monthly mean data
- which are obtained from climatologies of the uncoupled model by computing
- \begin{equation}
- Q_{O} = <Q_{A}^{u}> - <\frac {dT_{mix}}{dt} \rho_w c_{p_w} h_{mix}>
- \end{equation}
- where $<Q_{A}^{u}>$ and $<dT_{mix}/{dt}>$
- are the climatological (monthly)
- averages of the net
- atmospheric heat flux and the mixed layer temperature tendency,
- respectively, both taken from the uncoupled (i.e.~prescribed SST) simulation.
- In addition to a prescribed oceanic heat transport, horizontal and
- vertical diffusion can be switched on optionally.
- In the case of vertical diffusion
- a user defined number $n$ of layers with prescribed thicknesses $h_{mix}^{n}$
- are coupled via diffusion
- \begin{equation}
- \frac{\partial T_{mix}}{\partial t} = \frac{\partial}{\partial z} \left( K_v
- \frac{\partial T_{mix}}{\partial z} \right)
- \end{equation}
- with the (level depentend) diffusion coefficient $K_v$ (set to a default value
- of 0.0001m$^2$/s for all levels). The equation is solved using a
- back-substitution method.
- Horizontal diffusion of $T_{mix}$ is given by
- \begin{equation}
- \frac{\partial T_{mix}}{\partial t} = K_h {\nabla}^2 T_{mix}
- \end{equation}
- for each level. The default value of $K_h$ is 1000m$^2$/s.
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