Physics:Quasi-geostrophic equations

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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]

Origin

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

In Cartesian coordinates, the components of the geostrophic wind are

f0vg=Φx (1a)
f0ug=Φy (1b)

where Φ is the geopotential.

The geostrophic vorticity

ζg=𝐤^×V𝐠

can therefore be expressed in terms of the geopotential as

ζg=vgxugy=1f0(2Φx2+2Φy2)=1f02Φ (2)

Equation (2) can be used to find ζg(x,y) from a known field Φ(x,y). Alternatively, it can also be used to determine Φ from a known distribution of ζg by inverting the Laplacian operator.

The quasi-geostrophic vorticity equation can be obtained from the x and y components of the quasi-geostrophic momentum equation which can then be derived from the horizontal momentum equation

D𝐕Dt+f𝐤^×𝐕=Φ (3)


The material derivative in (3) is defined by

DDt=(t)p+(𝐕)p+ωp (4)
where ω=DpDt is the pressure change following the motion.

The horizontal velocity 𝐕 can be separated into a geostrophic V𝐠 and an ageostrophic V𝐚 part

𝐕=V𝐠+V𝐚 (5)


Two important assumptions of the quasi-geostrophic approximation are

1. V𝐠V𝐚, or, more precisely |V𝐚||V𝐠|O(Rossby number).
2. the beta-plane approximation f=f0+βy with βyf0O(Rossby number)


The second assumption justifies letting the Coriolis parameter have a constant value f0 in the geostrophic approximation and approximating its variation in the Coriolis force term by f0+βy.[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

f𝐤^×𝐕+Φ=(f0+βy)𝐤^×(V𝐠+V𝐚)f0𝐤^×V𝐠=f0𝐤^×V𝐚+βy𝐤^×V𝐠 (6)


The approximate horizontal momentum equation thus has the form

DgV𝐠Dt=f0𝐤^×V𝐚βy𝐤^×V𝐠 (7)


Expressing equation (7) in terms of its components,

DgugDtf0vaβyvg=0 (8a)
DgvgDt+f0ua+βyug=0 (8b)


Taking (8b)x(8a)y, and noting that geostrophic wind is nondivergent (i.e., 𝐕=0), the vorticity equation is

DgζgDt=f0(uax+vay)βvg (9)


Because f depends only on y (i.e., DgfDt=V𝐠f=βvg) and that the divergence of the ageostrophic wind can be written in terms of ω based on the continuity equation

uax+vay+ωp=0


equation (9) can therefore be written as

ζgt=V𝐠(ζg+f)f0ωp (10)

The same identity using the geopotential

Defining the geopotential tendency χ=Φt and noting that partial differentiation may be reversed, equation (10) can be rewritten in terms of χ as

1f02χ=V𝐠(1f02Φ+f)+f0ωp (11)


The right-hand side of equation (11) depends on variables Φ and ω. An analogous equation dependent on these two variables can be derived from the thermodynamic energy equation

(t+V𝐠)(Φp)σω=kJp (12)


where σ=RT0pdlogΘ0dp and Θ0 is the potential temperature corresponding to the basic state temperature. In the midtroposphere, σ2.5×106m2Pa2s2.


Multiplying (12) by f0σ and differentiating with respect to p and using the definition of χ yields

p(f0σχp)=p(f0σV𝐠Φp)f0ωpf0p(kJσp) (13)


If for simplicity J were set to 0, eliminating ω in equations (11) and (13) yields [5]

(2+p(f02σp))χ=f0V𝐠(1f02Φ+f)p(f02σV𝐠(Φp)) (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

Using the chain rule of differentiation, term C can be written as

V𝐠p(f02σΦp)f02σV𝐠pΦp (15)


But based on the thermal wind relation,

f0V𝐠p=𝐤^×(Φp).


In other words,V𝐠p is perpendicular to (Φp) and the second term in equation (15) disappears.

The first term can be combined with term B in equation (14) which, upon division by f0 can be expressed in the form of a conservation equation [6]

(t+V𝐠)q=DgqDt=0 (16)


where q is the quasi-geostrophic potential vorticity defined by

q=1f02Φ+f+p(f0σΦp) (17)


The three terms of equation (17) are, from left to right, the geostrophic relative vorticity, the planetary vorticity and the stretching vorticity.

Implications

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 q from a known field Φ. Alternatively, it can also be used to predict the evolution of the geopotential field given an initial distribution of Φ 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 ug, vg and T can be obtained from q or height Φ.

Also, because ζg and V𝐠 are both defined in terms of Φ(x,y,p,t), the vorticity equation can be used to diagnose vertical motion provided that the fields of both Φ and Φt are known.

References

  1. Phillips, N.A. (1963). “Geostrophic Motion.” Reviews of Geophysics Volume 1, No. 2., p. 123.
  2. Kundu, P.K. and Cohen, I.M. (2008). Fluid Mechanics, 4th edition. Elsevier., p. 658.
  3. 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. https://books.google.com/books?id=b3rBY0tnGa0C&pg=PA3. 
  4. 4.0 4.1 Holton, J.R. (2004). Introduction to Dynamic Meteorology, 4th Edition. Elsevier., p. 149.
  5. Holton, J.R. (2004). Introduction to Dynamic Meteorology, 4th Edition. Elsevier., p. 157.
  6. Holton, J.R. (2004). Introduction to Dynamic Meteorology, 4th Edition. Elsevier., p. 160.