Velocity point-measurements: Difference between revisions
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# [[Estimate epsilon|estimating <math>\varepsilon</math>]] and associated [[quality control measures]] | # [[Estimate epsilon|estimating <math>\varepsilon</math>]] and associated [[quality control measures]] | ||
These four processing levels coincide with the hierarchal format of the ATOMIX [[NetCDF velocimeters format]] for the [[benchmark datasets for velocity measurements|benchmark datasets]] | These four processing levels coincide with the hierarchal format of the ATOMIX [[NetCDF velocimeters format]] for the [[benchmark datasets for velocity measurements|benchmark datasets]]. | ||
We will be providing [[benchmark datasets for velocity measurements|benchmarks for velocity measurements]] both impacted and unaffected by surface waves. We will not be giving benchmark datasets for moored platforms at this time. However, we will include appropriate references to existing literature. | We will be providing [[benchmark datasets for velocity measurements|benchmarks for velocity measurements]] both impacted and unaffected by surface waves. We will not be giving benchmark datasets for moored platforms at this time. However, we will include appropriate references to existing literature. | ||
Revision as of 13:30, 11 November 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 all processing stages for obtaining [math]\displaystyle{ \varepsilon }[/math]:
- data processing of raw measurements
- segmenting datasets and decomposing the velocities into the mean, turbulence and surface waves component.
- spectral computations and identifying the appropriate inertial subrange model (e.g., surface wave considerations)
- estimating [math]\displaystyle{ \varepsilon }[/math] and associated quality control measures
These four processing levels coincide with the hierarchal format of the ATOMIX NetCDF velocimeters format for the benchmark datasets.
We will be providing benchmarks for velocity measurements both impacted and unaffected by surface waves. We will not be giving benchmark datasets for moored platforms at this time. However, we will include appropriate references to existing literature.
