User:Aleboyer: Difference between revisions
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# Extract the profile defined in step 2. | # Extract the profile defined in step 2. | ||
# 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 using the method described here. | ||
# 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. | # Convert the frequency spectra into wavenumber spectra using the mean speed for each diss-length segment. | ||
# 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 | ||
Revision as of 11:44, 25 June 2021
Dissipation rate estimation
The processing of shear-probe data can be divided into the following five major steps and these steps apply to data collected with any platform or vehicle. There are many sub-steps to these major steps. The major steps are;
- Conversion to physical units.
- Determine the speed of profiling of the shear-probe through the water.
- Determine the temperature of the water.
- Convert the shear-probe data samples into physical units
- Convert all other signals per the recommendations of the manufacturer of the sensor or instruments that produce these signals.
- Extract the profile defined in step 2.
- 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.
- 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
