Benchmark datasets for ADCP structure function: Difference between revisions

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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.
This page provides an overview of the benchmark dataset for instruments that measure velocity profiles e.g., [[Acoustic-Doppler Current Profilers|acoustic-Doppler current profilers]] from diverse suppliers and models.
 
== Benchmark datasets: Velocity profilers ==
 
ATOMIX provides several benchmark datasets consisting of four processing levels.
 
# [[Level 1 data (velocity profilers)|Raw timeseries]]
#* full resolution raw measurements in physical units, including ancillary parameters used to quality-control observations (e.g., amplitudes and correlations). Note: instrument-specific binary data is not included.
# [[Level 2 data (velocity profilers)|Quality-controlled timeseries]]
#* full resolution cleaned measurements from level 1
# [[Level 3 data (velocity profilers)|Structure function]]
#* calculated structure function parameters
# [[Level 4 data (velocity profilers)|Dissipation <math>\varepsilon</math> estimates]]
#* dissipation estimates and corresponding quality control parameter as time series


== Datasets available ==
== Datasets available ==
Selection and preparation of benchmark datasets are a work in progress! These benchmark datasets will cover a range of marine environments, background stratification and flow fields.  
Selection and preparation of benchmark datasets are a work in progress! These benchmark datasets will cover a range of marine environments, background stratification and flow fields.  


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Revision as of 12:51, 11 March 2022

This page provides an overview of the benchmark dataset for instruments that measure velocity profiles e.g., acoustic-Doppler current profilers from diverse suppliers and models.

Datasets available

Selection and preparation of benchmark datasets are a work in progress! These benchmark datasets will cover a range of marine environments, background stratification and flow fields.

Summary of potential benchmark datasets for testing existing and future algorithms
Dataset name Total depth Deployment height above bottom Background speed [math]\displaystyle{ \varepsilon }[/math] range Stratification/shear information Comment
Units [m] [m] [m/s] [W/kg]
Tidal shelf Bottom one in log-layer using the classical definition Low-quality dataset
Lake


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