Velocity point-measurements: Difference between revisions
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# [[Estimate epsilon|estimating <math>\varepsilon</math>]] from the spectral observations and associated [[quality control measures]] | # [[Estimate epsilon|estimating <math>\varepsilon</math>]] from the spectral observations 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 [[benchmark datasets for velocity measurements|benchmarks]] are intended to be a resource that | 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 [[benchmark datasets for velocity measurements|benchmarks]] are intended to be a resource that the community can use to evaluate routines in any programming language. Our recommendations are designed for measurements collected by any manufacturer, provided the data quality is sufficient for resolving the turbulence subrange of the velocity spectra. | ||
We will be providing [[benchmark datasets for velocity measurements|benchmarks]] for 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 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 22:44, 29 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
- spectral computations and identifying the appropriate inertial subrange model (e.g., surface wave considerations)
- estimating [math]\displaystyle{ \varepsilon }[/math] from the spectral observations and associated quality control measures
These four processing levels coincide with the hierarchal format of the ATOMIX NetCDF velocimeters format for the benchmark datasets. These benchmarks are intended to be a resource that the community can use to evaluate routines in any programming language. Our recommendations are designed for measurements collected by any manufacturer, provided the data quality is sufficient for resolving the turbulence subrange of the velocity spectra.
We will be providing benchmarks for 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.
