Turbulence spectrum: Difference between revisions
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If a measured quantity, say <math>\zeta</math>, has a spectrum, <math>\Psi(k)</math>, then this spectrum provides the wavenumber distribution of the variance of <math>\zeta</math>. | If a measured quantity, say <math>\zeta</math>, has a spectrum, <math>\Psi(k)</math>, then this spectrum provides the wavenumber distribution of the variance of <math>\zeta</math>. | ||
For example, | For example, | ||
<math>\overline{\zeta^2}=\int_0^{\infty} \Psi(k)\, \mathrm{d}k </math> | <math>\overline{\zeta^2}=\int_0^{\infty} \Psi(k)\, \mathrm{d}k </math> | ||
provides the total variance of <math>\zeta</math>, while | |||
<math>\int_{k_1}^{k_2} \Psi(k)\, \mathrm{d}k </math> | |||
provides the variance of <math>\zeta</math> that resides in the wavenumber band of <math>k_1</math> to <math>k_2</math>. | |||
* Missing the y-axi variables | * Missing the y-axi variables | ||
* Lowest frequency and wavenumber resolvable | * Lowest frequency and wavenumber resolvable | ||
Revision as of 19:27, 1 December 2021
| Short definition of Turbulence spectrum |
|---|
| Turbulence energy cascade and its expected spectral representation |
This is the common definition for Turbulence spectrum, but other definitions maybe discussed within the wiki.
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Spectra in the frequency domain are converted into the spatial domain via Taylor's Frozen Turbulence hypothesis. Convert time derivatives to spatial gradients along the direction of profiling using
.
Convert frequency spectra into wavenumber spectra using
and .
If a measured quantity, say , has a spectrum, , then this spectrum provides the wavenumber distribution of the variance of . For example,
provides the total variance of , while
provides the variance of that resides in the wavenumber band of to .
- Missing the y-axi variables
- Lowest frequency and wavenumber resolvable
