NetCDF velocimeters format: Difference between revisions
From Atomix
| Line 8: | Line 8: | ||
ATOMIX provides several benchmark datasets consisting of four processing levels. | ATOMIX provides several benchmark datasets consisting of four processing levels. | ||
[[Level 1 data (velocity point-measurements)|Level 1 - | * [[Level 1 data (velocity point-measurements)|Level 1 - raw timeseries]] | ||
: full resolution data in physical units | : full resolution data in physical units | ||
[[Level 2 data (velocity point-measurements)|Level 2 - | * [[Level 2 data (velocity point-measurements)|Level 2 - Quality-controlled and segmented timeseries]] | ||
: full resolution cleaned and despiked parameters from level 1, subdivided in individual [[Section|sections]]. | : full resolution cleaned and despiked parameters from level 1, subdivided in individual [[Section|sections]]. | ||
[[Level 3 data (velocity point-measurements)|Level 3 - spectra]] | * [[Level 3 data (velocity point-measurements)|Level 3 - spectra]] | ||
: raw and cleaned spectra | : raw and cleaned spectra | ||
[[Level 4 data (velocity point-measurements)|Level 4 - turbulence estimates]] | * [[Level 4 data (velocity point-measurements)|Level 4 - turbulence estimates]] | ||
: dissipation estimates and corresponding quality parameter as time series | : dissipation estimates and corresponding quality parameter as time series | ||
Revision as of 18:26, 5 November 2021
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).
Benchmark datasets: Velocity point-measurements
ATOMIX provides several benchmark datasets consisting of four processing levels.
- full resolution data in physical units
- full resolution cleaned and despiked parameters from level 1, subdivided in individual sections.
- raw and cleaned spectra
- dissipation estimates and corresponding quality parameter as time series
return to Velocity point-measurements
