The primitive equations describe the behaviour of a geophysical fluid at
space and time scales larger than a few kilometres in the horizontal, a few
meters in the vertical and a few minutes. They are usually solved at larger
scales: the specified grid spacing and time step of the numerical model. The
effects of smaller scale motions (coming from the advective terms in the
Navier-Stokes equations) must be represented entirely in terms of
large-scale patterns to close the equations. These effects appear in the
equations as the divergence of turbulent fluxes ( fluxes associated with
the mean correlation of small scale perturbations). Assuming a turbulent
closure hypothesis is equivalent to choose a formulation for these fluxes.
It is usually called the subgrid scale physics. It must be emphasized that
this is the weakest part of the primitive equations, but also one of the
most important for long-term simulations as small scale processes in fine
balance the surface input of kinetic energy and heat.
The control exerted by gravity on the flow induces a strong anisotropy
between the lateral and vertical motions. Therefore subgrid-scale physics
D
,
and
in (2.1a),
(2.1d) and (2.1e) are divided into a lateral part
D
,
and
and a vertical part
D
,
and
. The formulation of these terms
and their underlying physics are briefly discussed in the next two subsections.
The model resolution is always larger than the scale at which the major
sources of vertical turbulence occur (shear instability, internal wave
breaking...). Turbulent motions are thus never explicitly solved, even
partially, but always parameterized. The vertical turbulent fluxes are
assumed to depend linearly on the gradients of large-scale quantities (for
example, the turbulent heat flux is given by
,
where
is an eddy coefficient). This formulation is
analogous to that of molecular diffusion and dissipation. This is quite
clearly a necessary compromise: considering only the molecular viscosity
acting on large scale severely underestimates the role of turbulent
diffusion and dissipation, while an accurate consideration of the details of
turbulent motions is simply impractical. The resulting vertical momentum and
tracer diffusive operators are of second order:
Lateral turbulence can be roughly divided into a mesoscale turbulence
associated with eddies (which can be solved explicitly if the resolution is
sufficient since their underlying physics are included in the primitive
equations), and a sub mesoscale turbulence which is never explicitly solved
even partially, but always parameterized. The formulation of lateral eddy
fluxes depends on whether the mesoscale is below or above the grid-spacing
( the model is eddy-resolving or not).
In non-eddy-resolving configurations, the closure is similar to that used
for the vertical physics. The lateral turbulent fluxes are assumed to depend
linearly on the lateral gradients of large-scale quantities. The resulting
lateral diffusive and dissipative operators are of second order.
Observations show that lateral mixing induced by mesoscale turbulence tends
to be along isopycnal surfaces (or more precisely neutral surfaces McDougall [1987])
rather than across them.
As the slope of neutral surfaces is small in the ocean, a common
approximation is to assume that the `lateral' direction is the horizontal,
the lateral mixing is performed along geopotential surfaces. This leads
to a geopotential second order operator for lateral subgrid scale physics.
This assumption can be relaxed: the eddy-induced turbulent fluxes can be
better approached by assuming that they depend linearly on the gradients of
large-scale quantities computed along neutral surfaces. In such a case,
the diffusive operator is an isoneutral second order operator and it has
components in the three space directions. However, both horizontal and
isoneutral operators have no effect on mean (
large scale) potential
energy whereas potential energy is a main source of turbulence (through
baroclinic instabilities). Gent and Mcwilliams [1990] have proposed a
parameterisation of mesoscale eddy-induced turbulence which associates an
eddy-induced velocity to the isoneutral diffusion. Its mean effect is to
reduce the mean potential energy of the ocean. This leads to a formulation
of lateral subgrid-scale physics made up of an isoneutral second order
operator and an eddy induced advective part. In all these lateral diffusive
formulations, the specification of the lateral eddy coefficients remains the
problematic point as there is no really satisfactory formulation of these
coefficients as a function of large-scale features.
In eddy-resolving configurations, a second order operator can be used, but usually the more scale selective biharmonic operator is preferred as the grid-spacing is usually not small enough compared to the scale of the eddies. The role devoted to the subgrid-scale physics is to dissipate the energy that cascades toward the grid scale and thus to ensure the stability of the model while not interfering with the resolved mesoscale activity. Another approach is becoming more and more popular: instead of specifying explicitly a sub-grid scale term in the momentum and tracer time evolution equations, one uses a advective scheme which is diffusive enough to maintain the model stability. It must be emphasised that then, all the sub-grid scale physics is included in the formulation of the advection scheme.
All these parameterisations of subgrid scale physics have advantages and
drawbacks. There are not all available in NEMO. In the -coordinate
formulation, five options are offered for active tracers (temperature and
salinity): second order geopotential operator, second order isoneutral
operator, Gent and Mcwilliams [1990] parameterisation, fourth order
geopotential operator, and various slightly diffusive advection schemes.
The same options are available for momentum, except
Gent and Mcwilliams [1990] parameterisation which only involves tracers. In the
-coordinate formulation, additional options are offered for tracers: second
order operator acting along
surfaces, and for momentum: fourth order
operator acting along
surfaces (see §9).
The lateral Laplacian tracer diffusive operator is defined by (see Appendix B):
For iso-level diffusion, and
are zero.
reduces to the identity
in the horizontal direction, no rotation is applied.
For geopotential diffusion, and
are the slopes between the
geopotential and computational surfaces: they are equal to
and
,
respectively (see (2.22) ).
For isoneutral diffusion and
are the slopes between the isoneutral
and computational surfaces. Therefore, they are different quantities,
but have similar expressions in
- and
-coordinates. In
-coordinates:
The normal component of the eddy induced velocity is zero at all the boundaries. This can be achieved in a model by tapering either the eddy coefficient or the slopes to zero in the vicinity of the boundaries. The latter strategy is used in NEMO (cf. Chap. 9).
The lateral bilaplacian tracer diffusive operator is defined by:
The Laplacian momentum diffusive operator along - or
-surfaces is found by
applying (2.7e) to the horizontal velocity vector (see Appendix B):
Such a formulation ensures a complete separation between the vorticity and
horizontal divergence fields (see Appendix C). Unfortunately, it is not
available for geopotential diffusion in coordinates and for isoneutral
diffusion in both
- and
-coordinates (
when a rotation is required).
In these two cases, the
and
fields are considered as independent scalar
fields, so that the diffusive operator is given by:
As for tracers, the fourth order momentum diffusive operator along or
-surfaces
is a re-entering second order operator (2.41) or (2.41)
with the eddy viscosity coefficient correctly placed:
geopotential diffusion in -coordinate:
geopotential diffusion in -coordinate:
Gurvan Madec and the NEMO Team
NEMO European Consortium2017-02-17