NetCDF velocimeters format: Difference between revisions

From Atomix
mNo edit summary
No edit summary
Line 1: Line 1:
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.


== Benchmark dataset format for velocity point-measurements ==
== Benchmark dataset format for velocity point-measurements ==
Line 14: Line 13:
# [[Level 4 data (velocity point-measurements)|Dissipation <math>\varepsilon</math> estimates]]
# [[Level 4 data (velocity point-measurements)|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 16:30, 5 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
  2. Quality-controlled and segmented timeseries
    • Quality-controlled and despiked velocities from level 1
    • Detrended and subdivided further in individual segments.
  3. Spectra
    • raw and cleaned (if applicable) spectra
  4. Dissipation [math]\displaystyle{ \varepsilon }[/math] estimates
    • dissipation estimates and corresponding quality parameter as time series

return to Velocity point-measurements