Raw data review (QA1): Difference between revisions

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== Raw data review ==
The objective of the raw data review is to ensure that the velocity data used for the calculation of the structure functions are of good quality before proceeding with the turbulence analysis. Bad data are typically identified from the velocity data themselves and other ancillary data (e.g. correlations). It is recommended that velocity data should be flagged if the following are observed:
 
== Data quality is poor ==
<div class="mw-collapsible mw-collapsed" id="poor quality" data-collapsetext="Collapse" data-expandtext="Expand">
Poor data qualifiers include:
* Low correlation values
* Echo intensity anomalies
* Low percent good values
* Data return rate varies
</div>
 
== Unrealistic velocity values ==
<div class="mw-collapsible mw-collapsed" id="unrealistic" data-collapsetext="Collapse" data-expandtext="Expand">
Velocities are unrealistic if there are
* Evidence of phase wrapping
* Velocities outside nominal measurement range
* Velocities outside expected distribution
</div>
== Significant instrument motion and orientation ==
<div class="mw-collapsible mw-collapsed" id="motion" data-collapsetext="Collapse" data-expandtext="Expand">
Reject data if there is:
* High variability in pitch, heading and roll
* Orientation deviates from expected values
</div>
== Wave or periodic motion contamination ==
<div class="mw-collapsible mw-collapsed" id="waves?" data-collapsetext="Collapse" data-expandtext="Expand">
 
* Periodic motion at wave frequencies observed in velocity data
</div>
== Velocity shear is too large ==
<div class="mw-collapsible mw-collapsed" id="highshear" data-collapsetext="Collapse" data-expandtext="Expand">
 
* earth velocities indicate significant horizontal shear
</div>
== Stationary assumption may be violated ==
<div class="mw-collapsible mw-collapsed" id="nonstationary" data-collapsetext="Collapse" data-expandtext="Expand">
 
* variance of velocity [[Burst sampling|bursts]] shows spatial or temporal trends
</div>
== Stratification is too large ==
<div class="mw-collapsible mw-collapsed" id="toostratified" data-collapsetext="Collapse" data-expandtext="Expand">


The objective of the raw data review is to ensure that the velocity data used for the calculation of the structure functions are of good quality before proceeding with the turbulence analysis. Bad data are typically identified from the velocity data themselves and other ancillary data (e.g. correlations). It is recommended that velocity data should be flagged if the following are observed:
* Temperature and salinity (if available) indicate local stratification
# Data quality is poor
</div>
#* Low correlation values
#* Echo intensity anomalies
#* Low percent good values
#* Data return rate varies
# Unrealistic velocity values
#* Evidence of phase wrapping
#* Velocities outside nominal measurement range
#* Velocities outside expected distribution
# Significant instrument motion and orientation
#* High variability in pitch, heading and roll
#* Orientation deviates from expected values
# There is wave or periodic motion
#* Periodic motion at wave frequencies observed in velocity data
# Velocity shear is too large
#* earth velocities indicate significant horizontal shear
# Stationary assumption may be violated
#* variance of velocity bursts shows spatial or temporal trends [ALTHOUGH HARD TO DETERMINE WHAT IS REAL VARIABILITY]
# Stratification is too large
#* Temperature and salinity (if available) indicate local stratification
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Next step: [[Processing your ADCP data using structure function techniques | Compute structure functions and dissipation estimates]]<br></br>
Previous step: [[ Deployment ]] <br></br>
Return to [[ADCP structure function flow chart| ADCP Flow Chart front page]]
Return to [[ADCP structure function flow chart| ADCP Flow Chart front page]]


[[Category:Velocity profilers]]
[[Category:Velocity profilers]]

Latest revision as of 19:21, 8 March 2022

The objective of the raw data review is to ensure that the velocity data used for the calculation of the structure functions are of good quality before proceeding with the turbulence analysis. Bad data are typically identified from the velocity data themselves and other ancillary data (e.g. correlations). It is recommended that velocity data should be flagged if the following are observed:

Data quality is poor

Poor data qualifiers include:

  • Low correlation values
  • Echo intensity anomalies
  • Low percent good values
  • Data return rate varies

Unrealistic velocity values

Velocities are unrealistic if there are

  • Evidence of phase wrapping
  • Velocities outside nominal measurement range
  • Velocities outside expected distribution

Significant instrument motion and orientation

Reject data if there is:

  • High variability in pitch, heading and roll
  • Orientation deviates from expected values

Wave or periodic motion contamination

  • Periodic motion at wave frequencies observed in velocity data

Velocity shear is too large

  • earth velocities indicate significant horizontal shear

Stationary assumption may be violated

  • variance of velocity bursts shows spatial or temporal trends

Stratification is too large

  • Temperature and salinity (if available) indicate local stratification

Next step: Compute structure functions and dissipation estimates

Previous step: Deployment

Return to ADCP Flow Chart front page