Dataset requirements for ADCP structure function: Difference between revisions
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This page details all the ADCP data channels and metadata required to utilize the structure function techniques to reliably determine [[turbulence kinetic energy dissipation]] rate estimates. These will be divided into essential and supplementary categories. The NetCDF benchmark format was designed with the goal of facilitating algorithm testing and verification. Minimum requirements for archiving will be discussed at later date. | This page provides an overview of the NetCDF format of benchmark dataset for instruments that measure velocity profiles e.g., [[Acoustic-Doppler Current Profilers|acoustic-Doppler current profilers]] from diverse suppliers and models. It details all the ADCP data channels and metadata required to utilize the structure-function techniques to reliably determine [[turbulence kinetic energy dissipation]] rate estimates. These will be divided into essential and supplementary categories. The NetCDF benchmark format was designed with the goal of facilitating algorithm testing and verification. Minimum requirements for archiving will be discussed at later date. | ||
== Benchmark datasets: Velocity profilers == | == Benchmark datasets: Velocity profilers == | ||
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# [[Level 4 data (velocity profilers)|Dissipation <math>\varepsilon</math> estimates]] | # [[Level 4 data (velocity profilers)|Dissipation <math>\varepsilon</math> estimates]] | ||
#* dissipation estimates and corresponding quality parameter as time series | #* dissipation estimates and corresponding quality parameter as time series | ||
Revision as of 12:51, 11 March 2022
This page provides an overview of the NetCDF format of benchmark dataset for instruments that measure velocity profiles e.g., acoustic-Doppler current profilers from diverse suppliers and models. It details all the ADCP data channels and metadata required to utilize the structure-function techniques to reliably determine turbulence kinetic energy dissipation rate estimates. These will be divided into essential and supplementary categories. The NetCDF benchmark format was designed with the goal of facilitating algorithm testing and verification. Minimum requirements for archiving will be discussed at later date.
Benchmark datasets: Velocity profilers
ATOMIX provides several benchmark datasets consisting of four processing levels.
- Raw timeseries
- full resolution data in physical units
- Quality-controlled and segmented timeseries
- Structure function
- Dissipation [math]\displaystyle{ \varepsilon }[/math] estimates
- dissipation estimates and corresponding quality parameter as time series
return to Velocity profilers
