As mentioned above in section 1.2, the size of time step that produces a stable numerical solution for explicit finite-difference approximation to the Navier-Stokes equations is restricted by the rapid propagation of sound waves. This time step limitation may be overcome by replacing the full Navier-Stokes equations by an approximation that filters out the sound waves. In search of such sound-proof systems, a wide family of anelastic approximation has been proposed, and all these systems assume that thermodynamic state variables exhibit only small departures from a suitably defined static reference state. The original form of the anelastic approximation was proposed by Batchelor (1953) and later refined by Ogura and Phillips (1962) as an improvement over the Boussinesq approximation more suitable for studying convection within deep atmospheric layers. This original anelastic system conserved modified forms of both total energy and Ertel potential vorticity (Nance and Durran, 1994; Bannon, 1995). Unfortunately, this original anelastic approximation only holds for an isentropic reference state, and is not really applicable to realistic meteorological investigation. Subsequently, this restriction was removed by Wihelmson and Ogura (1972) which replaced the constant reference-state potential temperature with a vertically varying reference-state potential temperature. This modified anelastic equation set improves the representation of deep convection but sacrifices potential vorticity and energy conservations (Bannon, 1995). A major improvement was provided by the Lipps and Hemler (1982) equation set which allows an accurate representation of deep troposheric phenomena, and simultaneously conserves modified forms of Ertel potential vorticity and total energy for finite amplitude disturbances (Bannon, 1995). Finally, Durran (1989) has introduced the pseudo-imcompressible approximation to obtain a better description of upper-level isothermal layers, while retaining a good conservation of appropriate forms of Ertel potential vorticty and total energy for finite amplitude displacements (Bannon, 1995).
The current formulation of Meso-NH model allows for the use of three of these analastic systems: the Lipps and Hemler (1982) system (LH hereafter), the traditional Wihelmson and Ogura (1972), a.k.a. the "Modified Anelastic Equations" (MAE hereafter ), and a simplified implementation of the pseudo-incompressible system of Durran (1989, DUR hereafter). The present chapter tries to describe these three implementations in an orderly way.
We will use the following notations:
the rotation velocity of the earth
,
the temperature
,
the pressure
,
the reference value of the pressure
,
the total density of the moist air
,
the density of the dry fraction of the air
,
the specific heat at constant pressure of dry air
,
the specific heat at constant pressure of water vapor
,
the specific heat of liquid water
,
the specific heat of ice water
,
the gas constant for dry air
,
the gas constant for water vapor
,
the latent heat of vaporization
,
the latent heat of sublimation
,
the latent heat of melting
.
Various substances are measured by their mixing ratio
, which is the
mass of the substance within a given volume, divided by the mass of dry air
within the same volume. In the current anelastic formulation, we assimilate
the dry air mass and the reference state dry air mass (see below), thus
the volumic mass may be recovered as
.
The treatment of the different phases of water is flexible.
Up to seven forms of water may be considered if the user wishes so, the
mixing ratios being
for vapor,
for cloud liquid water,
for
liquid rain,
for cloud ice,
for snow,
for graupels, and
for hail. The same mnemonics are used in the code, inasmuch as possible.
If a user is not interested by such computations, he may decide to use only a
subset of these variables. The computations concerning the remaining
water variables will not be performed, resulting in lesser cost. The
resulting equations may be obtained by setting the corresponding variables
to zero in the following of this chapter.
Whenever necessary, we use the mixing ratio of total water substance
| (2.1) |
The specific heat at constant pressure of the moist air takes the general form
| (2.2) |
An important quantity is the Exner function
| (2.3) |
We use the "dry" potential temperature
| (2.4) |
The virtual temperature is defined as
| (2.5) |
| (2.6) |
is the air velocity, and whenever necessary, its cartesian
components are called
,
, and
.
All anelastic approximation systems rely on the hypothesis
that the atmosphere will not depart very far from a "reference
state", defined as
an atmosphere at rest, in hydrostatic equilibrium, with horizontally
uniform profiles of temperature
and water vapor
. No condensed water is considered in the reference state.
For our application, the reference
profiles are often chosen as the initial horizontal averages of actual fields
over the expected domain of
simulation. Any profile, however, may be used, but the inaccuracy of the
computation increases if the reference state is far from the actual mean state.
In the following the dependency in
only will be assumed for all quantities
subscripted with
.
The hydrostatic relation and the equation of state are used to derive the
profiles of the virtual temperature and the Exner function of the reference
state
,
:
| (2.7) |
![]() |
(2.8) |
with the upper boundary condition
at the model top
.
is then deduced from
and
as
![]() |
(2.9) |
Finally,
is deduced from the equation of state
| (2.11) |
Note that both the dry air and the water vapor must be considered to build the profile of the Exner function of the reference state, since each gas is subject to the partial pressure of the other one.
A primary difference between the three anelastic systems used in Meso-NH is the form adopted for the equation of state. Both the modified anelastic (MAE) and Lipps-Hemler (LH) systems follow the usual framework of the Boussinesq approximation by linearizing the equation of state. On the contrary, the Durran system (DUR) keeps the full equation of state, without any linearization.
For the MAE and LH cases, the equation of state
is replaced by
the linearized form:
where
, and
.
In the DUR case, contrary to most anelastic systems, the equation of state
| (2.13) |
For all three anelastic system used in Meso-NH, the continuity equation is may be
written as the approximated form:
|
|
Stricly speaking, the Durran (1989) form of the anelastic constraint (equation 2.17)
only holds in the adiabatic limit, and the r.h.s of (2.17) should be written
in the general case where
is the heating rate per
unit volume. However, Durran (1989, p. 1454) argues that this generalized form reduces to
(2.17) in the usual case where the anelastic assumption itself holds.
Also note that the dimensional definition of
is slightly inconsistent. It
corresponds to the dry air density of the reference state when the Lipps-Hemler deep
convection anelastic (LH) or the Modified Anelastic Equation (MAE) approximations are used;
but it includes an extra potential temperature factor when the pseudo-incompressible anelastic
approximation (DUR) of Durran (1989) is used.
Also note that equation (2.14) represents a strong geometrical constraint on the wind field, called the anelastic constraint. This constraint is enforced by solving an elliptic equation for some pressure deviation function, that results from the combination of the continuity and momentum equations (see below).
The system is written in a referential frame linked to the earth, with
a rotation velocity
, and includes a yet un-specified momentum
source term
. In Meso-NH, unlike most atmospheric
models, the total density of the
air will vary in function of the precipitation and evaporation of water.
Therefore a consistent flux form of the equations can only be obtained by
combining the Lagrangian forms and the equation of continuity for dry air.
Furthermore, we want to allow for an easy transition to the compressible
system, should this one be adopted in the future. Therefore, we use an
equation of conservation for the momentum of the dry air fraction of the
fluid:
where
is the pressure gradient force, which
takes different forms in the three systems:
|
|
A distinctive property of the Lipp and Hemler (1982) system is that the reference state virtual
potential temperature is pulled inside the pressure gradient term (2.19), whereas
this factor appears outside of the gradient for both the MAE and Durran (1989) systems
(2.20 and 2.21). For the MAE system also note that the virtual potential
temperature of the reference state is used, whereas the Durran (1989) system directly
retains the un-approximated virtual potential temperature in (2.21).
It is also worth noticing that
the form adopted for the Durran (1989) system is identical to the momentum equation in the
complete compressible system. Although the hydrostatic reference state have been removed,
the pressure-gradient term has not been linearized. The Durran (1989) system is therefore
expected to provide a particularly accurate description of the (compressible) momentum
balance.
Apart from the differences in expressing the pressure gradient term, the other terms
retain their usual form, respectively representing the time evolution, the advection,
the buoyancy force, the Coriolis force, and the diabatic effects. Also note that the flux
form of the equation is consistently kept throughout the model, insuring an integral
conservation of momentum to a very good
accuracy. For convenience, the model further uses
rather than
,
therefore, in the following equations, we will use
to denote
the fluctuation of buoyancy.
Finally, enforcing the anelastic constraint (2.14) leads to the improperly
called "pressure problem" to determine
(DUR and MAE) or
(LH), respectively. In order to simplify the expression of this problem, we introduce the
dynamical source of momentum:
![]() |
(2.22) |
whereby the momentum conservation equation may be rewritten:
|
|
|
When an hydrostatic approximation of the vertical velocity
equation is required, for instance within initialization routines or to compute
diagnostic quantities,
the hydrostatic form to be used also differs for the three equations systems.
With the pseudo-incompressible system of Durran (1989), as the vertical momentum equation is written without any approximation, the hydrostatic relation is exact and reads:
With both the MAE and Lipp-Hemler systems, the usual form of the hydrostatic
relation
should not be used to establish diagnostic quantities
related to this model. For the Lipps-Hemler (1982) sytem, by consistency with
(2.18-2.19), one should use instead:
![]() |
(2.27) |
Whereas the MAE system leads to a formula similar to (2.26), except for the use of the reference state virtual potential temperature instead of the virtual potential temperature:
![]() |
(2.28) |
![]() |
|||
![]() |
(2.29) |
The terms on the right hand side represent respectively the moist correction in absence of any phase change (derived from the conservation of total energy, with some approximations), the effects of phase changes, and the other diabatic effects (radiation and diffusion). The use of the reference state Exner function instead of the total one in the above equation allows for an effective decoupling of the pressure problem from the thermodynamical problem, leading to a great simplification of the resolution, while retaining an excellent accuracy.
For any of the water substances
, the conservation equation
is written:
| (2.30) |
where
stands for the effects of phase changes, sedimentation
and diffusion. Note the flux form, and the use of
(not
),
insuring the existence of integral conservation properties.
Similarly, the model can carry an arbitrary number of passive scalars, following the equation:
| (2.31) |
where
stands for the effects of diabatic and chemical
processes.
The total mass inside the model domain is the sum of the mass of dry air
and the mass of water (other substances are neglected for the time
being)
| (2.32) |
The anelastic constraint (see above)
does not supply the variation of the total mass of dry air
inside the model domain, since it uses the reference
density profile instead of the actual density. It is therefore necessary
to use an additional equation. This one depends on the general conditions
of the experiment:
On the other hand, the total mass of water
can be computed
at each time during the simulation, by a simple volume integration
| (2.33) |
For all three anelastic system implemented in Meso-NH, combining the anelastic constraint 2.14) and the momentum equations (2.23-2.25), some appropriate "pressure function" can be retrieved by solving an elliptic problem:
|
|
|
the details of the procedure, however, are system-depended.
With the Lipps-Hemler (1982) system, it is convenient to define the pressure function in (2.34), as:
| (2.37) |
and to solve directly (2.34) for
, which can be interpreted as
a geopotential perturbation.
As the boundary condition for the elliptic equation (2.34) are
Neuman ones (see below and Chapter 7) the solution
, hence the pressure, is determined
only to an arbitrary constant. This is sufficient for the dynamical problem;
however, for thermodynamic computations, it is often necessary to use the
absolute value of the pressure.
Let us assume that
is a particular solution of the above elliptic
problem. We want to
determine the additional constant
that will insure the correct
absolute value of the pressure. This is achieved by using the total
mass as defined above, which may be developed following:
As the linearized equation of state (2.12) replaces the usual ideal-gas law for
density fluctuations in the Lipps-Hemler system, we have then
![]() |
(2.39) |
![]() |
(2.40) |
The resulting field of
is used to retrieve the
absolute pressure
![]() |
(2.41) |
With the MAE system, solving the elliptic equation (2.35) directly provides
the Exner function deviation
from the reference state, instead of the above
defined
function.
However, the rest of the solution procedure follows the principles outlined for
the Lipps-Hemler system. As the boundary condition for the elliptic equation (2.34)
are Neuman ones, the Exner function
is determined to an arbitrary constant only, and
the absolute value of the pressure is obtained as above. Assuming that
is
a particular solution of the elliptic problem, the additional constant
that
will insure the correct absolute value of the pressure is derived from the total mass budget,
written using (2.38) without changes.
As the linearized equation of state (2.12) replaces the usual ideal-gas law
for density fluctuations in the MAE system, we have then
![]() |
(2.42) |
![]() |
(2.43) |
The resulting field of
is used to retrieve the
absolute pressure
| (2.44) |
Finally, with the Durran (1989) system, solving the elliptic equation (2.36)
directly provides the Exner function deviation
from the reference state.
As it was the case for other systems in previous sections, the Neuman boundary
conditions only determine
to an arbitrary constant, and this constant has to be
obtained from a total mass budget to retrieve the absolute value of the pressure field.
However, as the Durran (1989) system use the equation of state without linearization, a
modified procedure is followed.
Let us assume that
is a particular solution of the above elliptic
problem. We want to determine the additional constant
that will insure the correct
absolute value of the pressure. This is achieved by using the total mass as defined above:
| (2.45) |
Combining the ideal-gas equation of state and the Exner function definition:
the total mass of the model can be written as:
| (2.47) |
As
, a linearization of the
term allows to solve the above equation as
![]() |
(2.48) |
Eventually, a second iteration is performed using the same equation to get
an accurate value of
.
The resulting constant is used to retrieve the absolute pressure:
| (2.49) |
Top Boundary
The model is assumed to be limited by a rigid horizontal lid, exerting a
free slip condition on the atmosphere. The height
of this lid may be
chosen by the user. In order to obtain realistic results, it is recommended
to place
somewhere in the stratosphere. At
, the conditions imposed
on the model are:
| (2.50) |
|
|
|
where
is a vertical unit vector.
In order to prevent the reflexion of gravity waves on this lid, an absorbing
layer may be activated, where the model prognostic variables are relaxed
towards the large-scale values.
Bottom Boundary
In the adiabatic formulation of the model, the lower boundary condition is
defined as an insulated rigid lid, with free slip. This may be again
formulated as
| (2.54) |
|
|
|
but
, a unit vector normal to the earth surface, may not be vertical.
In the physical package of the model, the turbulent fluxes of heat, moisture,
and momentum are computed in the usual way.
Lateral Boundary
This is a more complicated problem. We allow for several types of conditions:
This will be discussed in detail in Chapter 5.
A thorough discussion of the conservation properties for all three anelastic systems
implemented in Meso-NH is given in Bannon (1995). Only a summary of the main conclusions
is therefore given below, readers being referred to the original paper for
derivations and details. Following Bannon (1995), we restrict the scope of this discussion to a
dry atmosphere, and consider a finite amplitude flow with
representing
the heating rate per unit volume, and
the frictional forces. When a conservation
property is existing, it will be given in a flux form, assuring that the volume integral of the
relevant quantity is conserved for adiabatic inviscid flows in a closed domain for which the
normal component of the velocity field vanishes on the boundaries.
When the potential temperature of the reference state varies with height, neither a closed form of the energy, nor a consistent statement of potential vorticity conservation are possible. The case of the constant reference state potential temperature corresponds to the original anelastic equations (Ogura and Phillips, 1962), which conserve both an energy form and an Ertel potential vorticity form (see Bannon 1995, and Durran, 1989, p 1459).
This system conserves both a form of energy, and an Ertel-like potential vorticity. Bannon (1995, p 2305) writes the total energy equation in flux form as:
| (2.58) |
where
is the pressure deviation from reference state,
and
is the appropriate form of total energy in the LH system:
| (2.59) |
Note the use of the reference state density. Bannon (1995) further notes that the
presence of
instead of
in the
internal energy term reveals that in the LH system heating occur at
constant pressure, as is required by this system's approximations.
The Lipps and Hemler (1982) anelastic form of Ertel's conservation theorem is:
![]() |
(2.60) |
where
is the absolute
vorticity,
the diabatic warming rate:
![]() |
(2.61) |
and the appropriate form of the potential vorticity is (Bannon, 1995, p 2306):
![]() |
(2.62) |
Note that the reference state density has to be used, not the true density.
The pseudo-incompressible system of Durran (1989) also exhibits conservation properties
for both a total energy and an Ertel-like potential vorticity.
Defining the pseudo-incompressible density:
| (2.63) |
The flux form of the total energy equation is (Durran, 1989):
| (2.64) |
where
,
and
is the appropriate form of total energy in the Durran (1989) system:
| (2.65) |
The pseudo-incompressible version of Ertel's conservation theorem is:
![]() |
(2.66) |
where
is the appropriate form of the potential vorticity
(Bannon, 1995, p 2308):
![]() |
(2.67) |
Note that the pseudo-incompressible density has to be used, not the reference state one.
Bannon P. R., 1995: Potential vorticity conservation, hydrostatic adjustment, and the anelastic approximation, J. Atmos. Sci., 52, 2302-2312
Batchelor G. K., 1953: The condition for dynamical similarity of motions of frictionless perfect-gas atmosphere, Quart. J. Roy. Meteor. Soc., 79, 224-235.
Durran D. R., 1989: Improving the anelastic approximation, J. Atmos. Sci., 46, 1453-1461.
Lafore J.P., J. Stein, N. Asencio, P. Bougeault, V. Ducrocq, J. Duron, C. Fischer, P. Héreil, P. Mascart, V. Masson, J. P. Pinty, J. L. Redelsperger, E. Richard, J. Vilá-Guerau de Arellano, 1998: The Meso-NH atmospheric simulation system. Part I: adiabatic formulation and control simulations, Ann. Geophysicae, 16, 90-109.
Lipps F., and R. S. Hemler, 1982: A scale analysis of deep moist convection and some related numerical calculations, J. Atmos. Sci., 39, 2192-2210.
Lipps F., 1990: On the anelastic approximation for deep convection, J. Atmos. Sci, 47, 1794-1798.
Nance L. B., D. R. Durran, 1994: A comparison of the accuracy of three anelastic systems and the pseudo-incompressible system, J. Atmos. Sci., 51, 3549-3565.
Ogura Y., and N. A. Phillips, 1962: Scale analysis of deep and shallow convection in the atmosphere. J. Atmos. Sci., 19, 173-179.
Wilhelmson, R., and Y. Ogura,1972: The pressure perturbation and the numerical modelling of a cloud, J. Atmos. Sci., 29, 1295-1307.