NetCDF velocimeters format: Difference between revisions

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This page provides an overview of the NetCDF format of benchmark dataset for instruments that measure velocities at a point in space e.g., [[Acoustic-Doppler Velocimeters|acoustic-Doppler velocimeters]] and [[Travel-time Velocimeters | travel-time velocimeters]] (MAVS). 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 velocities at a point in space e.g., [[Acoustic-Doppler Velocimeters|acoustic-Doppler velocimeters]] and [[Travel-time Velocimeters | travel-time velocimeters]] (MAVS). 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.
[[File:Benchmark adv netcdf.png|350px|thumb|Layout of NetCDF-4 benchmark dataset. The groupings are intended as checkpoints for algorithm testing.]]


== Benchmark dataset format for velocity point-measurements ==
== Benchmark dataset format for velocity point-measurements ==
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#* dissipation estimates and corresponding quality parameter as time series
#* dissipation estimates and corresponding quality parameter as time series


 
[[File:Benchmark adv netcdf.png|400px|thumb|Layout of NetCDF-4 benchmark dataset. The groupings are intended as checkpoints for algorithm testing.]]


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Revision as of 15:09, 7 March 2022

This page provides an overview of the NetCDF format of benchmark dataset for instruments that measure velocities at a point in space e.g., acoustic-Doppler velocimeters and travel-time velocimeters (MAVS). 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 dataset format for velocity point-measurements

ATOMIX provides several benchmark datasets consisting of four processing levels.

  1. Raw timeseries
    • full resolution data in physical units including quality-control flags
  2. Quality-controlled and segmented timeseries
  3. Spectral observations
    • raw and cleaned (if applicable) spectra
  4. Dissipation [math]\displaystyle{ \varepsilon }[/math] estimates
    • dissipation estimates and corresponding quality parameter as time series
Layout of NetCDF-4 benchmark dataset. The groupings are intended as checkpoints for algorithm testing.

Return to Velocity point-measurements