While geostrophic motion refers to the wind that would result from an exact balance between the Coriolis force and horizontal pressure-gradient forces,[1] quasi-geostrophic (QG) motion refers to flows where the Coriolis force and pressure gradient forces are almost in balance, but with inertia also having an effect.
[2]
Atmospheric and oceanographic flows take place over horizontal length scales which are very large compared to their vertical length scale, and so they can be described using the shallow water equations. The Rossby number is a dimensionless number which characterises the strength of inertia compared to the strength of the Coriolis force. The quasi-geostrophic equations are approximations to the shallow water equations in the limit of small Rossby number, so that inertial forces are an order of magnitude smaller than the Coriolis and pressure forces. If the Rossby number is equal to zero then we recover geostrophic flow.
The quasi-geostrophic equations were first formulated by Jule Charney.[3]
Derivation of the single-layer QG equations
[edit]
In Cartesian coordinates, the components of the geostrophic wind are
(1a)
(1b)
where
is the geopotential.
The geostrophic vorticity
![{\displaystyle {\zeta _{g}}={{\hat {\mathbf {k} }}\cdot \nabla \times \mathbf {V_{g}} }}](./?url=aHR0cHM6Ly93aWtpbWVkaWEub3JnL2FwaS9yZXN0X3YxL21lZGlhL21hdGgvcmVuZGVyL3N2Zy83NzM4MzE1ZjAyY2I4MTg2ZWM2ZGVhYmM1OTkzZmRmY2MzZjYyNTA4&__proxy_form=0)
can therefore be expressed in terms of the geopotential as
(2)
Equation (2) can be used to find
from a known field
. Alternatively, it can also be used to determine
from a known distribution of
by inverting the Laplacian operator.
The quasi-geostrophic vorticity equation can be obtained from the
and
components of the quasi-geostrophic momentum equation which can then be derived from the horizontal momentum equation
(3)
The material derivative in (3) is defined by
(4)
- where
is the pressure change following the motion.
The horizontal velocity
can be separated into a geostrophic
and an ageostrophic
part
(5)
Two important assumptions of the quasi-geostrophic approximation are
- 1.
, or, more precisely
.
- 2. the beta-plane approximation
with ![{\displaystyle {{\frac {\beta y}{f_{0}}}\sim O({\text{Rossby number}})}}](./?url=aHR0cHM6Ly93aWtpbWVkaWEub3JnL2FwaS9yZXN0X3YxL21lZGlhL21hdGgvcmVuZGVyL3N2Zy8yMTQzNzlhODRjMzBlYWU5NWU5YjRhMmVhOTA2ZjZiZmJjZTY0YjAz&__proxy_form=0)
The second assumption justifies letting the Coriolis parameter have a constant value
in the geostrophic approximation and approximating its variation in the Coriolis force term by
.[4] However, because the acceleration following the motion, which is given in (1) as the difference between the Coriolis force and the pressure gradient force, depends on the departure of the actual wind from the geostrophic wind, it is not permissible to simply replace the velocity by its geostrophic velocity in the Coriolis term.[4] The acceleration in (3) can then be rewritten as
(6)
The approximate horizontal momentum equation thus has the form
(7)
Expressing equation (7) in terms of its components,
(8a)
(8b)
Taking
, and noting that geostrophic wind is nondivergent (i.e.,
), the vorticity equation is
(9)
Because
depends only on
(i.e.,
) and that the divergence of the ageostrophic wind can be written in terms of
based on the continuity equation
![{\displaystyle {{\partial u_{a} \over \partial x}+{\partial v_{a} \over \partial y}+{\partial \omega \over \partial p}=0}}](./?url=aHR0cHM6Ly93aWtpbWVkaWEub3JnL2FwaS9yZXN0X3YxL21lZGlhL21hdGgvcmVuZGVyL3N2Zy9kYjFmNGU2MmU1YjJmNDIxMWNiYTVjZmNhNTlkOWI0M2YyMTYyNjdm&__proxy_form=0)
equation (9) can therefore be written as
(10)
The same identity using the geopotential
[edit]
Defining the geopotential tendency
and noting that partial differentiation may be reversed, equation (10) can be rewritten in terms of
as
(11)
The right-hand side of equation (11) depends on variables
and
. An analogous equation dependent on these two variables can be derived from the thermodynamic energy equation
(12)
where
and
is the potential temperature corresponding to the basic state temperature. In the midtroposphere,
≈
.
Multiplying (12) by
and differentiating with respect to
and using the definition of
yields
(13)
If for simplicity
were set to 0, eliminating
in equations (11) and (13) yields [5]
(14)
Equation (14) is often referred to as the geopotential tendency equation. It relates the local geopotential tendency (term A) to the vorticity advection distribution (term B) and thickness advection (term C).
The same identity using the quasi-geostrophic potential vorticity
[edit]
Using the chain rule of differentiation, term C can be written as
(15)
But based on the thermal wind relation,
.
In other words,
is perpendicular to
and the second term in equation (15) disappears.
The first term can be combined with term B in equation (14) which, upon division by
can be expressed in the form of a conservation equation [6]
(16)
where
is the quasi-geostrophic potential vorticity defined by
(17)
The three terms of equation (17) are, from left to right, the geostrophic relative vorticity, the planetary vorticity and the stretching vorticity.
As an air parcel moves about in the atmosphere, its relative, planetary and stretching vorticities may change but equation (17) shows that the sum of the three must be conserved following the geostrophic motion.
Equation (17) can be used to find
from a known field
. Alternatively, it can also be used to predict the evolution of the geopotential field given an initial distribution of
and suitable boundary conditions by using an inversion process.
More importantly, the quasi-geostrophic system reduces the five-variable primitive equations to a one-equation system where all variables such as
,
and
can be obtained from
or height
.
Also, because
and
are both defined in terms of
, the vorticity equation can be used to diagnose vertical motion provided that the fields of both
and
are known.
- ^ Phillips, N.A. (1963). “Geostrophic Motion.” Reviews of Geophysics Volume 1, No. 2., p. 123.
- ^ Kundu, P.K. and Cohen, I.M. (2008). Fluid Mechanics, 4th edition. Elsevier., p. 658.
- ^ Majda, Andrew; Wang, Xiaoming (2006). Nonlinear Dynamics and Statistical Theories for Basic Geophysical Flows. Cambridge University Press. p. 3. ISBN 978-1-139-45227-4.
- ^ a b Holton, J.R. (2004). Introduction to Dynamic Meteorology, 4th Edition. Elsevier., p. 149.
- ^ Holton, J.R. (2004). Introduction to Dynamic Meteorology, 4th Edition. Elsevier., p. 157.
- ^ Holton, J.R. (2004). Introduction to Dynamic Meteorology, 4th Edition. Elsevier., p. 160.