Velocity point-measurements: Difference between revisions
| Line 6: | Line 6: | ||
# [[data processing of raw measurements]] | # [[data processing of raw measurements]] | ||
# [[segmenting datasets]] and separating the turbulence signal from deterministic signals (e.g, surface waves) | # [[segmenting datasets]] and separating the turbulence signal from deterministic signals (e.g, surface waves) | ||
# [[spectral computations]] and [[Identify the inertial subrange| identifying the inertial subrange]] | # [[spectral computations]] and [[Identify the inertial subrange| identifying the inertial subrange]] to [[Spectral fitting|fit the model spectra]] | ||
# [[quality control measures]] | # [[quality control measures]] | ||
Revision as of 20:28, 28 October 2021
Welcome to the velocity point-measurements subgroup!
This subgroup addresses best practices in obtaining turbulent kinetic energy dissipation rate estimates from time series of velocities measured at a point in space. These temporal measurements are converted into spectral observations in the wavenumber (space) domain before being fitted with a model spectrum to obtain turbulent kinetic energy dissipation.
Scope
The subgroup will provide recommendations on:
- data processing of raw measurements
- segmenting datasets and separating the turbulence signal from deterministic signals (e.g, surface waves)
- spectral computations and identifying the inertial subrange to fit the model spectra
- quality control measures
We will also provide benchmark datasets for velocity measurements impacted and unaffected by surface waves. Although some work has been done in obtaining turbulence estimates from moored platforms, we will not be providing benchmark datasets at this time. However, appropriate references to existing literature will be included.
Our recommendations are intended to be applicable to measurements irrespective of the manufacturer provided the data is of sufficient quality for resolving the turbulence subrange of the velocity spectra.
The benchmark datasets will follow the ATOMIX NetCDF velocimeters format. The benchmark datasets for velocity measurements are intended to be a resource that can be used by the community to evaluate routines in any programming language.
