Turbulence spectrum: Difference between revisions
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<math> \Psi(k) = U_P \Psi(f) </math> . | <math> \Psi(k) = U_P \Psi(f) </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, | |||
<math>\overline{\zeta^2}=\int_0^{\infty} \Psi(k)\, \mathrm{d}k </math> | |||
* Missing the y-axi variables | * Missing the y-axi variables | ||
* Lowest frequency and wavenumber resolvable | * Lowest frequency and wavenumber resolvable | ||
Revision as of 19:23, 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,
- Missing the y-axi variables
- Lowest frequency and wavenumber resolvable
