Velocity point-measurements: Difference between revisions
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We will also provide [[benchmark datasets for velocity measurements|benchmarks for velocity measurements]] both impacted and unaffected by surface waves. These [[benchmark datasets for velocity measurements|benchmarks]] will be a resource for the Ocean Mixing Community to evaluate routines in any programming language. These [[benchmark datasets for velocity measurements|benchmarks]] will be limited to instruments fixed in space. We will nonetheless include appropriate references to the existing literature on handling moored instruments. | We will also provide [[benchmark datasets for velocity measurements|benchmarks for velocity measurements]] both impacted and unaffected by surface waves. These [[benchmark datasets for velocity measurements|benchmarks]] will be a resource for the Ocean Mixing Community to evaluate routines in any programming language. These [[benchmark datasets for velocity measurements|benchmarks]] will be limited to instruments fixed in space. We will nonetheless include appropriate references to the existing literature on handling moored instruments. | ||
= Wiki | = Scope and Wiki Structure= | ||
The subgroup will provide recommendations and [[benchmark datasets for velocity measurements|benchmarks]] for all data processing stages required to obtaining <math>\varepsilon</math>: | The subgroup will provide recommendations and [[benchmark datasets for velocity measurements|benchmarks]] for all data processing stages required to obtaining <math>\varepsilon</math>: | ||
# [[Data processing of raw measurements]] | # [[Data processing of raw measurements]] | ||
# [[Preparing quality-controlled velocities for spectral computations | # [[Preparing quality-controlled velocities]] for spectral computations | ||
# [[Spectral computations]] and identify the appropriate [[Velocity inertial subrange model|inertial subrange model]] (e.g., surface wave considerations) | # [[Spectral computations]] and identify the appropriate [[Velocity inertial subrange model|inertial subrange model]] (e.g., surface wave considerations) | ||
# [[Estimate epsilon|estimate <math>\varepsilon</math>]] and associated [[quality control measures]] | # [[Estimate epsilon|estimate <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]]. | ||
[[Category:Velocity point-measurements]] | [[Category:Velocity point-measurements]] | ||
Revision as of 13:59, 30 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. 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.
We will also 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.
Scope and Wiki Structure
The subgroup will provide recommendations and benchmarks for all data processing stages required to obtaining [math]\displaystyle{ \varepsilon }[/math]:
- Data processing of raw measurements
- Preparing quality-controlled velocities for spectral computations
- Spectral computations and identify the appropriate inertial subrange model (e.g., surface wave considerations)
- estimate [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.
