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Primitive equations

Primitive equations is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Primitive equations rather than just read about it. In short: The primitive equations are a set of nonlinear partial differential equations that are used to approximate global atmospheric flow and are used in most atmospheric models. They consist of three main sets of balance equations: A continuity equation: Representing the conservation of mass.

Key takeaways

  • Primitive equations belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Primitive equations to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Primitive equations from memory before moving on to harder problems.

Reference excerpt

The primitive equations are a set of nonlinear partial differential equations that are used to approximate global atmospheric flow and are used in most atmospheric models. They consist of three main sets of balance equations:

A continuity equation: Representing the conservation of mass. Conservation of momentum: Consisting of a form of the Navier–Stokes equations that describe hydrodynamical flow on the surface of a sphere under the assumption that vertical motion is much smaller than horizontal motion (hydrostasis) and that the fluid layer depth is small compared to the radius of the sphere A thermal energy equation: Relating the overall temperature of the system to heat sources and sinks The primitive equations may be linearized to yield Laplace's tidal equations, an eigenvalue problem from which the analytical solution to the latitudinal structure of the flow may be determined. In general, nearly all forms of the primitive equations relate the five variables u, v, ω, T, W, and their evolution over space and time. The equations were first written down by Vilhelm Bjerknes.

Definitions

u {\displaystyle u} is the zonal velocity (velocity in the east–west direction tangent to the sphere)

v {\displaystyle v} is the meridional velocity (velocity in the north–south direction tangent to the sphere)

ω {\displaystyle \omega } is the vertical velocity in isobaric coordinates

T {\displaystyle T} is the temperature

Φ {\displaystyle \Phi } is the geopotential

f {\displaystyle f} is the term corresponding to the Coriolis force, and is equal to 2 Ω sin ⁡ ( ϕ ) {\displaystyle 2\Omega \sin(\phi )} , where Ω {\displaystyle \Omega } is the angular rotation rate of the Earth ( 2 π / 24 {\displaystyle 2\pi /24} radians per sidereal hour), and ϕ {\displaystyle \phi } is the latitude

R {\displaystyle R} is the gas constant

p {\displaystyle p} is the pressure

ρ {\displaystyle \rho } is the density

c p {\displaystyle c_{p}} is the specific heat on a constant pressure surface

J {\displaystyle J} is the heat flow per unit time per unit mass

W {\displaystyle W} is the precipitable water

Π {\displaystyle \Pi } is the Exner function

θ {\displaystyle \theta } is the potential temperature

η {\displaystyle \eta } is the Absolute vorticity

Forces that cause atmospheric motion Forces that cause atmospheric motion include the pressure gradient force, gravity, and viscous friction. Together, they create the forces that accelerate our atmosphere. The pressure gradient force causes an acceleration forcing air from regions of high pressure to regions of low pressure. Mathematically, this can be written as:

f m = 1 ρ d p d x . {\displaystyle {\frac {f}{m}}={\frac {1}{\rho }}{\frac {dp}{dx}}.}

The gravitational force accelerates objects at approximately 9.8 m/s2 directly towards the center of the Earth. The force due to viscous friction can be approximated as:

f r = f a 1 ρ μ ( ∇ ⋅ ( μ ∇ v ) + ∇ ( λ ∇ ⋅ v ) ) . {\displaystyle f_{r}={f \over a}{1 \over \rho }\mu \left(\nabla \cdot (\mu \nabla v)+\nabla (\lambda \nabla \cdot v)\right).}

Using Newton's second law, these forces (referenced in the equations above as the accelerations due to these forces) may be summed to produce an equation of motion that describes this system. This equation can be written in the form:

d v d t = − ( 1 ρ ) ∇ p − g ( r r ) + f r {\displaystyle {\frac {dv}{dt}}=-({\frac {1}{\rho }})\nabla p-g({\frac {r}{r}})+f_{r}}

g = g e . {\displaystyle g=g_{e}.\,}

Therefore, to complete the system of equations and obtain 6 equations and 6 variables:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Primitive equations

Start with the simplest possible case. Write down what Primitive equations claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Primitive equations before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Primitive equations ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Primitive equations

In research
Primitive equations appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Primitive equations in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Primitive equations is common in secondary-school and first-year university syllabi. It links to neighbouring topics Atmospheric dynamics, Atmospheric models, Equations of fluid dynamics, so understanding it makes those chapters shorter.
In everyday life
Look for Primitive equations outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Primitive equations in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Primitive equations means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Primitive equations out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Primitive equations in simple terms?

The primitive equations are a set of nonlinear partial differential equations that are used to approximate global atmospheric flow and are used in most atmospheric models. They consist of three main sets of balance equations: A continuity equation: Representing the conservation of mass.

Why does Primitive equations matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Primitive equations?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Primitive equations.

Tags

  • Atmospheric dynamics
  • Atmospheric models
  • Equations of fluid dynamics
  • Partial differential equations

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