Dissipation rate estimates - Revision history

Marcus at 19:52, 7 June 2024

2024-06-07T19:52:12Z

← Older revision		Revision as of 19:52, 7 June 2024
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	# Correct the spectra of shear for the [[wavenumber response of the shear probe]].		# Correct the spectra of shear for the [[wavenumber response of the shear probe]].
	# Apply an [[iterative spectral integration algorithm]] to estimate the variance of shear.		# Apply an [[iterative spectral integration algorithm]] to estimate the variance of shear.
			# If the dissipation estimate is larger than shear inertial subrange fit use the method fit to the inertial subrange
	# Calculate the turbulent dissipation rate by multiplying the shear variance by <math> \begin{equation} \frac{15}{2}\nu\end{equation}</math> where <math> \nu </math> is the temperature-dependent kinematic viscosity.		# Calculate the turbulent dissipation rate by multiplying the shear variance by <math> \begin{equation} \frac{15}{2}\nu\end{equation}</math> where <math> \nu </math> is the temperature-dependent kinematic viscosity.
	# Determine the [[figure of merit (FM)]] for each shear-probe spectrum using the method described here.		# Determine the [[figure of merit (FM)]] for each shear-probe spectrum using the method described here.

CynthiaBluteau: Categorization

2021-11-23T15:27:20Z

Categorization

← Older revision		Revision as of 15:27, 23 November 2021
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	-----------------------------		-----------------------------
	return to [[Flow chart for shear probes]]		return to [[Flow chart for shear probes]]

			[[Category:Shear probes]]

Aleboyer at 03:28, 5 November 2021

2021-11-05T03:28:00Z

← Older revision		Revision as of 03:28, 5 November 2021
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	# Determine the [[figure of merit (FM)]] for each shear-probe spectrum using the method described here.		# Determine the [[figure of merit (FM)]] for each shear-probe spectrum using the method described here.
	# Calculate the expected variance of each dissipation estimate using the method described here.		# Calculate the expected variance of each dissipation estimate using the method described here.


			-----------------------------
			return to [[Flow chart for shear probes]]

Aleboyer at 18:59, 20 August 2021

2021-08-20T18:59:50Z

← Older revision		Revision as of 18:59, 20 August 2021
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	# Extract the original and the vibration-coherent clean shear-probe frequency spectra with [[the Goodman algorithm]].		# Extract the original and the vibration-coherent clean shear-probe frequency spectra with [[the Goodman algorithm]].
	# Correct shear and vibration frequency spectra for [[the high-pass filter]].		# Correct shear and vibration frequency spectra for [[the high-pass filter]].
	# Correct the cleaned frequency spectra for the bias induced by the Goodman algorithm.		# Correct the cleaned frequency spectra for [[the bias induced by the Goodman algorithm]].
	# Convert the frequency spectra into wavenumber spectra using the mean speed for each diss-length segment. That is, make the wavenumber <math> \begin{equation}k=f/U\end{equation}</math> and the wavenumber [[Here\|kinetic energy spectrum]] <math> \begin{equation}E(k)=UE(f)\end{equation}</math> .		# Convert the frequency spectra into wavenumber spectra using the mean speed for each diss-length segment. That is, make the wavenumber <math> \begin{equation}k=f/U\end{equation}</math> and the wavenumber [[Here\|kinetic energy spectrum]] <math> \begin{equation}E(k)=UE(f)\end{equation}</math> .
	# Correct the spectra of shear for the [[wavenumber response of the shear probe]].		# Correct the spectra of shear for the [[wavenumber response of the shear probe]].

Aleboyer at 18:22, 20 August 2021

2021-08-20T18:22:44Z

← Older revision		Revision as of 18:22, 20 August 2021
Line 9:		Line 9:
	# [[De-spike the shear-probe data]], and track the fraction of data affected by de-spiking within each diss-length segment. This will become a quality-control metric.		# [[De-spike the shear-probe data]], and track the fraction of data affected by de-spiking within each diss-length segment. This will become a quality-control metric.
	# Calculate the [[frequency spectra and cross-spectra of shear and vibrations]] for each diss-length segment.		# Calculate the [[frequency spectra and cross-spectra of shear and vibrations]] for each diss-length segment.
	# Extract the original and the vibration-coherent clean shear-probe frequency spectra with the Goodman algorithm.		# Extract the original and the vibration-coherent clean shear-probe frequency spectra with [[the Goodman algorithm]].
	# Correct shear and vibration frequency spectra for [[the high-pass filter]].		# Correct shear and vibration frequency spectra for [[the high-pass filter]].
	# Correct the cleaned frequency spectra for the bias induced by the Goodman algorithm.		# Correct the cleaned frequency spectra for the bias induced by the Goodman algorithm.

Aleboyer at 18:16, 20 August 2021

2021-08-20T18:16:22Z

← Older revision		Revision as of 18:16, 20 August 2021
Line 9:		Line 9:
	# [[De-spike the shear-probe data]], and track the fraction of data affected by de-spiking within each diss-length segment. This will become a quality-control metric.		# [[De-spike the shear-probe data]], and track the fraction of data affected by de-spiking within each diss-length segment. This will become a quality-control metric.
	# Calculate the [[frequency spectra and cross-spectra of shear and vibrations]] for each diss-length segment.		# Calculate the [[frequency spectra and cross-spectra of shear and vibrations]] for each diss-length segment.
	# Extract the original and the vibration-coherent clean shear-probe frequency spectra.		# Extract the original and the vibration-coherent clean shear-probe frequency spectra with the Goodman algorithm.
	# Correct shear and vibration frequency spectra for [[the high-pass filter]].		# Correct shear and vibration frequency spectra for [[the high-pass filter]].
	# Correct the cleaned frequency spectra for the bias induced by the Goodman algorithm.		# Correct the cleaned frequency spectra for the bias induced by the Goodman algorithm.

Aleboyer: /* dissipation rate estimates */

2021-08-20T17:33:47Z

dissipation rate estimates

← Older revision		Revision as of 17:33, 20 August 2021
Line 7:		Line 7:
	# High-pass filter the shear-probe and (optionally) the vibration data.		# High-pass filter the shear-probe and (optionally) the vibration data.
	# Identify each diss-length segment in the profile.		# Identify each diss-length segment in the profile.
	# De-spike the shear-probe data, and track the fraction of data affected by de-spiking within each diss-length segment. This will become a quality-control metric.		# [[De-spike the shear-probe data]], and track the fraction of data affected by de-spiking within each diss-length segment. This will become a quality-control metric.
	# Calculate the frequency spectra and cross-spectra of shear and vibrations for each diss-length segment ~~using the method described here~~.		# Calculate the [[frequency spectra and cross-spectra of shear and vibrations]] for each diss-length segment.
	# Extract the original and the vibration-coherent clean shear-probe frequency spectra.		# Extract the original and the vibration-coherent clean shear-probe frequency spectra.
	# Correct shear and vibration frequency spectra for the high-pass filter.		# Correct shear and vibration frequency spectra for [[the high-pass filter]].
	# Correct the cleaned frequency spectra for the bias induced by the Goodman algorithm.		# Correct the cleaned frequency spectra for the bias induced by the Goodman algorithm.
	# Convert the frequency spectra into wavenumber spectra using the mean speed for each diss-length segment. That is, make the wavenumber <math> \begin{equation}k=f/U\end{equation}</math> and the wavenumber [[Here\|kinetic energy spectrum]] <math> \begin{equation}E(k)=UE(f)\end{equation}</math> .		# Convert the frequency spectra into wavenumber spectra using the mean speed for each diss-length segment. That is, make the wavenumber <math> \begin{equation}k=f/U\end{equation}</math> and the wavenumber [[Here\|kinetic energy spectrum]] <math> \begin{equation}E(k)=UE(f)\end{equation}</math> .
	# Correct the spectra of shear for the wavenumber response of the shear probe.		# Correct the spectra of shear for the [[wavenumber response of the shear probe]].
	# Apply an iterative spectral integration algorithm to estimate the variance of shear~~, which is described here~~.		# Apply an [[iterative spectral integration algorithm]] to estimate the variance of shear.
	# Calculate the rate ~~of dissipation~~ by multiplying the shear variance by		# Calculate the turbulent dissipation rate by multiplying the shear variance by <math> \begin{equation} \frac{15}{2}\nu\end{equation}</math> where <math> \nu </math> is the temperature-dependent kinematic viscosity.
			# Determine the [[figure of merit (FM)]] for each shear-probe spectrum using the method described here.
			# Calculate the expected variance of each dissipation estimate using the method described here.

Aleboyer: /* dissipation rate estimates */

2021-08-20T17:23:59Z

dissipation rate estimates

← Older revision		Revision as of 17:23, 20 August 2021
Line 12:		Line 12:
	# Correct shear and vibration frequency spectra for the high-pass filter.		# Correct shear and vibration frequency spectra for the high-pass filter.
	# Correct the cleaned frequency spectra for the bias induced by the Goodman algorithm.		# Correct the cleaned frequency spectra for the bias induced by the Goodman algorithm.
	# Convert the frequency spectra into wavenumber spectra using the mean speed for each diss-length segment. That is, make the wavenumber <math> \begin{equation}k=f/U\end{equation}</math> and the wavenumber [[Here\|kinetic energy spectrum]] <math> \begin{equation}E(~~\kappa~~)=UE(f)\end{equation}</math> .		# Convert the frequency spectra into wavenumber spectra using the mean speed for each diss-length segment. That is, make the wavenumber <math> \begin{equation}k=f/U\end{equation}</math> and the wavenumber [[Here\|kinetic energy spectrum]] <math> \begin{equation}E(k)=UE(f)\end{equation}</math> .
	# Correct the spectra of shear for the wavenumber response of the shear probe.		# Correct the spectra of shear for the wavenumber response of the shear probe.
	# Apply an iterative spectral integration algorithm to estimate the variance of shear, which is described here.		# Apply an iterative spectral integration algorithm to estimate the variance of shear, which is described here.
	# Calculate the rate of dissipation by multiplying the shear variance by		# Calculate the rate of dissipation by multiplying the shear variance by

Aleboyer: Created page with "== dissipation rate estimates == The following items break down the derivation of the turbulent dissipation rate of kinetic energy ( $\varepsilon$ ). Explanations f..."

2021-08-20T16:53:46Z

Created page with "== dissipation rate estimates == The following items break down the derivation of the turbulent dissipation rate of kinetic energy (<math>\varepsilon</math>). Explanations f..."

New page

== dissipation rate estimates ==

The following items break down the derivation of the turbulent dissipation rate of kinetic energy (<math>\varepsilon</math>).
Explanations for each step can be found after.

# Extract the section defined in [[Flow_chart_for_shear_probes|step 2]] ("Section" selection).
# High-pass filter the shear-probe and (optionally) the vibration data.
# Identify each diss-length segment in the profile.
# De-spike the shear-probe data, and track the fraction of data affected by de-spiking within each diss-length segment. This will become a quality-control metric.
# Calculate the frequency spectra and cross-spectra of shear and vibrations for each diss-length segment using the method described here.
# Extract the original and the vibration-coherent clean shear-probe frequency spectra.
# Correct shear and vibration frequency spectra for the high-pass filter.
# Correct the cleaned frequency spectra for the bias induced by the Goodman algorithm.
# Convert the frequency spectra into wavenumber spectra using the mean speed for each diss-length segment. That is, make the wavenumber <math> \begin{equation}k=f/U\end{equation}</math> and the wavenumber [[Here|kinetic energy spectrum]] <math> \begin{equation}E(\kappa)=UE(f)\end{equation}</math> .
# Correct the spectra of shear for the wavenumber response of the shear probe.
# Apply an iterative spectral integration algorithm to estimate the variance of shear, which is described here.
# Calculate the rate of dissipation by multiplying the shear variance by

Dissipation rate estimates - Revision history

Marcus at 19:52, 7 June 2024

CynthiaBluteau: Categorization

Aleboyer at 03:28, 5 November 2021

Aleboyer at 18:59, 20 August 2021

Aleboyer at 18:22, 20 August 2021

Aleboyer at 18:16, 20 August 2021

Aleboyer: /* dissipation rate estimates */

Aleboyer: /* dissipation rate estimates */

Aleboyer: Created page with "== dissipation rate estimates == The following items break down the derivation of the turbulent dissipation rate of kinetic energy (\varepsilon). Explanations f..."

Aleboyer: Created page with "== dissipation rate estimates == The following items break down the derivation of the turbulent dissipation rate of kinetic energy ( $\varepsilon$ ). Explanations f..."