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Monin–Obukhov length

Monin–Obukhov length 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 Monin–Obukhov length rather than just read about it. In short: The Obukhov length is used to describe the effects of buoyancy on turbulent flows, particularly in the lower tenth of the atmospheric boundary layer. It was first defined by Alexander Obukhov in 1946.

Key takeaways

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

Reference excerpt

The Obukhov length is used to describe the effects of buoyancy on turbulent flows, particularly in the lower tenth of the atmospheric boundary layer. It was first defined by Alexander Obukhov in 1946. It is also known as the Monin–Obukhov length because of its important role in the similarity theory developed by Monin and Obukhov. A simple definition of the Monin-Obukhov length is that height at which turbulence is generated more by buoyancy than by wind shear. The Obukhov length is defined by

L = − u ∗ 3 θ ¯ v k g ( w ′ θ v ′ ¯ ) s {\displaystyle L=-{\frac {u_{*}^{3}{\bar {\theta }}_{v}}{kg({\overline {w^{'}\theta _{v}^{'}}})_{s}}}\ }

where u ∗ {\displaystyle u_{*}} is the frictional velocity, θ ¯ v {\displaystyle {\bar {\theta }}_{v}} is the mean virtual potential temperature, ( w ′ θ v ′ ¯ ) s {\displaystyle ({\overline {w^{'}\theta _{v}^{'}}})_{s}} is the surface virtual potential temperature flux, k is the von Kármán constant. If not known, the virtual potential temperature flux can be approximated with:

w ′ θ v ′ ¯ = w ′ θ ′ ¯ ( 1 + 0.61 r ¯ ) + 0.61 θ ¯ w ′ r ′ ¯ {\displaystyle {\overline {w^{'}\theta _{v}^{'}}}={\overline {w^{'}\theta ^{'}}}(1+0.61{\overline {r}})+0.61{\overline {\theta }}\;{\overline {w^{'}r^{'}}}}

where θ {\displaystyle \theta } is potential temperature, and r {\displaystyle r} is mixing ratio.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Monin–Obukhov length

Start with the simplest possible case. Write down what Monin–Obukhov length 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 Monin–Obukhov length 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 Monin–Obukhov length 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 Monin–Obukhov length

In research
Monin–Obukhov length 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 Monin–Obukhov length 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
Monin–Obukhov length is common in secondary-school and first-year university syllabi. It links to neighbouring topics Atmospheric dispersion modeling, Atmospheric science stubs, Boundary layer meteorology, so understanding it makes those chapters shorter.
In everyday life
Look for Monin–Obukhov length 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 Monin–Obukhov length in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Monin–Obukhov length 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 Monin–Obukhov length out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Monin–Obukhov length in simple terms?

The Obukhov length is used to describe the effects of buoyancy on turbulent flows, particularly in the lower tenth of the atmospheric boundary layer. It was first defined by Alexander Obukhov in 1946.

Why does Monin–Obukhov length 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 Monin–Obukhov length?

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 Monin–Obukhov length.

Tags

  • Atmospheric dispersion modeling
  • Atmospheric science stubs
  • Boundary layer meteorology
  • Buoyancy
  • Fluid dynamics
  • Meteorology in the Soviet Union
  • Microscale meteorology

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