ArticleslgStudy

science

Weak temperature gradient approximation

Weak temperature gradient approximation is a science 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 Weak temperature gradient approximation rather than just read about it. In short: In atmospheric science, the weak temperature gradient approximation (WTG) is a theoretical framework used to simplify the equations governing tropical atmospheric dynamics and circulation. The WTG approximation assumes that free tropospheric temperature in the tropics has negligible horizontal (and temporal) gradients compared to its vertical gradient.

Key takeaways

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

Reference excerpt

In atmospheric science, the weak temperature gradient approximation (WTG) is a theoretical framework used to simplify the equations governing tropical atmospheric dynamics and circulation. The WTG approximation assumes that free tropospheric temperature in the tropics has negligible horizontal (and temporal) gradients compared to its vertical gradient. The assumption of horizontal homogeneity of temperature follows from observations of free tropospheric temperature in the tropical regions as well as early work on the simplified equations governing tropical circulation. It is understood to occur as a result of the weak Coriolis force in the tropics. In a multitude of theoretical, modelling and observational studies, the WTG has been applied to study synoptic- and mesoscale phenomena in the tropics.

Physical explanation Free tropospheric temperature refers to the temperature in the upper layers of the troposphere where the influence from the surface and the boundary layer is negligible. Although the framework is formulated with the gradients of free tropospheric temperature, this phenomenon occurs as a result of gradients and fluctuations in buoyancy. Density or buoyancy fluctuations in a stably stratified fluid lead to the formation of gravity waves. In the tropics, where Coriolis force is negligibly small, these gravity waves prove to be very effective at smoothing out buoyancy gradients, in a process called gravity-wave adjustment or buoyant equalization. This effectively redistributes temperature between regions of precipitating convection and clear-sky region. Due to the speed with which the gravity-wave adjustment occurs, the WTG not only considers negligible horizontal buoyancy gradients but also negligibly small temporal gradients. As buoyancy is closely related to temperature (more specifically the virtual temperature and the virtual potential temperature), the framework is usually named Weak Temperature Gradient approximation.

Equation derivation This framework can be approximated using scale analysis on the governing equations. Starting from the hydrostatic balance

∂ p ∂ z = − ρ g {\displaystyle {\frac {\partial p}{\partial z}}=-\rho g}

p: pressure

ρ {\displaystyle \rho } : density g: gravitational acceleration z: height above surface scale analysis suggests that the difference ( δ {\displaystyle \delta } ) in pressure at two equal heights h {\displaystyle h} is

δ p ∼ g h δ ρ {\displaystyle \delta p\sim gh\delta \rho }

These pressure differences can also be analyzed using the Navier-Stokes momentum equation in the tropics with the Coriolis parameter f ∼ 0 {\displaystyle f\sim 0}

d u d t = − 1 ρ δ p {\displaystyle {\frac {d{\boldsymbol {u}}}{dt}}=-{\frac {1}{\rho }}\delta p}

u {\displaystyle {\boldsymbol {u}}} is the horizontal velocity component Scale analysis now suggests that

δ ρ ρ ∼ δ p p ∼ δ θ θ ∼ F r {\displaystyle {\frac {\delta \rho }{\rho }}\sim {\frac {\delta p}{p}}\sim {\frac {\delta \theta }{\theta }}\sim {\mathcal {F}}_{r}}

where F r = U 2 g h {\displaystyle {\mathcal {F}}_{r}={\frac {U^{2}}{gh}}} is the Froude number, defined as the ratio of vertical inertial force to the gravitational force; U {\displaystyle U} is a horizontal velocity scale. Whereas the same approach for extra-tropical regions would yield

δ ρ ρ ∼ δ θ θ ∼ F r R o {\displaystyle {\frac {\delta \rho }{\rho }}\sim {\frac {\delta \theta }{\theta }}\sim {\frac {{\mathcal {F}}_{r}}{R_{o}}}}

where R o = U f L {\displaystyle R_{o}={\frac {U}{fL}}} is the Rossby number with L a characteristic horizontal length scale. This shows that for small Rossby numbers in the extra-tropics, density (and with it temperature) perturbations are much larger than in the tropical regions. The pressure gradients mentioned above can be understood to be smoothed out by pressure gradient forces which in the tropics, unlike the mid-latitudes, are not balanced by Coriolis force and thus efficiently remove horizontal gradients.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Weak temperature gradient approximation

Start with the simplest possible case. Write down what Weak temperature gradient approximation claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, 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 Weak temperature gradient approximation 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 Weak temperature gradient approximation 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 Weak temperature gradient approximation

In research
Weak temperature gradient approximation appears in science 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 Weak temperature gradient approximation 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
Weak temperature gradient approximation is common in secondary-school and first-year university syllabi. It links to neighbouring topics Atmospheric temperature, Tropical meteorology, so understanding it makes those chapters shorter.
In everyday life
Look for Weak temperature gradient approximation 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.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Weak temperature gradient approximation” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Weak temperature gradient approximation in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Weak temperature gradient approximation 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 Weak temperature gradient approximation out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Weak temperature gradient approximation in simple terms?

In atmospheric science, the weak temperature gradient approximation (WTG) is a theoretical framework used to simplify the equations governing tropical atmospheric dynamics and circulation. The WTG approximation assumes that free tropospheric temperature in the tropics has negligible horizontal (and…

Why does Weak temperature gradient approximation matter?

Because it connects several science 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 Weak temperature gradient approximation?

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 Weak temperature gradient approximation.

Tags

  • Atmospheric temperature
  • Tropical meteorology

Keep exploring