Spectral computations: Difference between revisions
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* [[Compute the spectra]] with sufficient degrees of freedom to get a statistically robust <math>\varepsilon</math> | * [[Compute the spectra]] with sufficient degrees of freedom to get a statistically robust <math>\varepsilon</math> | ||
* Estimate the [[Velocity past the sensor| mean flow past the sensor]] and if applicable the surface wave contributions to choose the appropriate [[Velocity inertial subrange model| inertial subrange model]] for [[Spectral fitting|spectral fitting]]. | * Estimate the [[Velocity past the sensor| mean flow past the sensor]] and if applicable the surface wave contributions to choose the appropriate [[Velocity inertial subrange model| inertial subrange model]] for [[Spectral fitting|spectral fitting]]. | ||
* [[Estimate epsilon]] from the velocity | * [[Identify the inertial subrange|likely wavenumber range]] to [[Estimate epsilon|estimate <math>\varepsilon</math>]] from the velocity spectral observations. | ||
[[Category:Velocity point-measurements]] | [[Category:Velocity point-measurements]] | ||
Revision as of 20:15, 29 October 2021
After the initial round of data QA/QC, there are three stages to estimating the turbulent dissipation rate:
- Conduct further QA/QC specific to spectral analysis
- Compute the spectra with sufficient degrees of freedom to get a statistically robust [math]\displaystyle{ \varepsilon }[/math]
- Estimate the mean flow past the sensor and if applicable the surface wave contributions to choose the appropriate inertial subrange model for spectral fitting.
- likely wavenumber range to estimate [math]\displaystyle{ \varepsilon }[/math] from the velocity spectral observations.
