Velocity point-measurements: Difference between revisions
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This subgroup addresses best practices in obtaining [[turbulent kinetic energy dissipation]] rate estimates from time series of velocities measured at a point in space. Our recommendations are designed for measurements collected by any manufacturer, provided the data quality is sufficient for resolving the [[Velocity inertial subrange model|inertial subrange]] of the velocity spectra. | This subgroup addresses best practices in obtaining [[turbulent kinetic energy dissipation]] rate estimates from time series of velocities measured at a point in space. Our recommendations are designed for measurements collected by any manufacturer, provided the data quality is sufficient for resolving the [[Velocity inertial subrange model|inertial subrange]] of the velocity spectra. | ||
= Scope | = Scope = | ||
The subgroup will provide recommendations and [[benchmark datasets for velocity measurements|benchmark datasets]] that can be used to assess processing algorithm at various stages of estimating <math>\varepsilon</math>: | The subgroup will provide recommendations and [[benchmark datasets for velocity measurements|benchmark datasets]] that can be used to assess processing algorithm at various stages of estimating <math>\varepsilon</math>: | ||
# [[Data processing of raw measurements]] | # [[Data processing of raw measurements]] | ||
Revision as of 01:04, 3 March 2022
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. Our recommendations are designed for measurements collected by any manufacturer, provided the data quality is sufficient for resolving the inertial subrange of the velocity spectra.
Scope
The subgroup will provide recommendations and benchmark datasets that can be used to assess processing algorithm at various stages of estimating [math]\displaystyle{ \varepsilon }[/math]:
- Data processing of raw measurements
- Preparing quality-controlled velocities for spectral computations
- Spectral estimates and identifying the inertial subrange
- Quality control measures of the estimated [math]\displaystyle{ \varepsilon }[/math]
These four processing levels coincide with the hierarchal format of the ATOMIX NetCDF velocimeters format for the benchmark datasets.
Benchmark datasets
We will provide benchmarks for velocity measurements both impacted and unaffected by surface waves. These benchmarks will be a resource for the Ocean Mixing Community to evaluate routines in any programming language. These benchmarks will be limited to instruments fixed in space. We will nonetheless include appropriate references to the existing literature on handling moored instruments.
