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Log wind profile

Log wind profile 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 Log wind profile rather than just read about it. In short: The log wind profile is a semi-empirical relationship commonly used to describe the vertical distribution of horizontal mean wind speed within the lowest portion of the planetary boundary layer (PBL). The logarithmic profile of wind speeds is generally limited to the lowest 100 m of the atmosphere (i.e., the surface layer of the atmospheric boundary layer).

Key takeaways

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

Reference excerpt

The log wind profile is a semi-empirical relationship commonly used to describe the vertical distribution of horizontal mean wind speed within the lowest portion of the planetary boundary layer (PBL). The logarithmic profile of wind speeds is generally limited to the lowest 100 m of the atmosphere (i.e., the surface layer of the atmospheric boundary layer). The rest of the atmosphere is composed of the remaining part of the PBL (up to around 1 km) and the troposphere or free atmosphere. In the free atmosphere, geostrophic wind relationships should be used, instead.

Formulation The equation to estimate the mean wind speed ( u z {\displaystyle u_{z}} ) at height z {\displaystyle z} (meters) above the ground is:

u z = u ∗ κ [ ln ⁡ ( z − d z 0 ) + ψ ( z , z 0 , L ) ] {\displaystyle u_{z}={\frac {u_{*}}{\kappa }}\left[\ln \left({\frac {z-d}{z_{0}}}\right)+\psi (z,z_{0},L)\right]}

where u ∗ {\displaystyle u_{*}} is the friction velocity (m s−1), κ {\displaystyle \kappa } is the Von Kármán constant (~0.41), d {\displaystyle d} is the zero plane displacement (in metres), z 0 {\displaystyle z_{0}} is the surface roughness (in meters), and ψ {\displaystyle \psi } is a stability term where L {\displaystyle L} is the Obukhov length from Monin-Obukhov similarity theory. Under neutral stability conditions, z / L = 0 {\displaystyle z/L=0} and ψ {\displaystyle \psi } drops out and the equation is simplified to,

u z = u ∗ κ [ ln ⁡ ( z − d z 0 ) ] {\displaystyle u_{z}={\frac {u_{*}}{\kappa }}\left[\ln \left({\frac {z-d}{z_{0}}}\right)\right]} . Zero-plane displacement ( d {\displaystyle d} ) is the height in meters above the ground at which zero mean wind speed is achieved as a result of flow obstacles such as trees or buildings. This displacement can be approximated as 2/3 to 3/4 of the average height of the obstacles. For example, if estimating winds over a forest canopy of height 30 m, the zero-plane displacement could be estimated as d = 20 m. Roughness length ( z 0 {\displaystyle z_{0}} ) is a corrective measure to account for the effect of the roughness of a surface on wind flow. That is, the value of the roughness length depends on the terrain. The exact value is subjective and references indicate a range of values, making it difficult to give definitive values. In most cases, references present a tabular format with the value of z 0 {\displaystyle z_{0}} given for certain terrain descriptions. For example, for very flat terrain (snow, desert) the roughness length may be in the range 0.001 to 0.005 m. Similarly, for open terrain (grassland) the typical range is 0.01-0.05 m. For cropland, and brush/forest the ranges are 0.1-0.25 m and 0.5-1.0 m respectively. When estimating wind loads on structures the terrains may be described as suburban or dense urban, for which the ranges are typically 0.1-0.5 m and 1-5 m respectively. In order to estimate the mean wind speed at one height ( z 2 {\displaystyle {{z}_{2}}} ) based on that at another ( z 1 {\displaystyle {{z}_{1}}} ), the formula would be rearranged,

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Log wind profile

Start with the simplest possible case. Write down what Log wind profile 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 Log wind profile 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 Log wind profile 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 Log wind profile

In research
Log wind profile 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 Log wind profile 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
Log wind profile is common in secondary-school and first-year university syllabi. It links to neighbouring topics Atmospheric dispersion modeling, Boundary layer meteorology, Vertical distributions, so understanding it makes those chapters shorter.
In everyday life
Look for Log wind profile 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 Log wind profile in 20 minutes

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

Frequently asked questions

What is Log wind profile in simple terms?

The log wind profile is a semi-empirical relationship commonly used to describe the vertical distribution of horizontal mean wind speed within the lowest portion of the planetary boundary layer (PBL). The logarithmic profile of wind speeds is generally limited to the lowest 100 m of the atmosphere…

Why does Log wind profile 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 Log wind profile?

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 Log wind profile.

Tags

  • Atmospheric dispersion modeling
  • Boundary layer meteorology
  • Vertical distributions
  • Wind power

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