Segmenting datasets: Difference between revisions

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Once the raw data has gone through QA/QC, then you must:


This level of processing involves:
* Split the time series into shorter segments by considering stationarity, and the time and length scales of turbulence
 
* splitting long timeseries into shorter segments that encompass the time and length scales of turbulence
* determine how (or if at all) missing samples should be replaced
* determine how (or if at all) missing samples should be replaced
* separating the turbulent signals from the total velocity signal
* Determine the contribution of the [[Reynolds decomposition|mean flow versus turbulence]] to the velocity field
* rotating into the mean flow direction
* Rotate the measurements into the frame of reference of the mean flow
* Evaluating stationarity, Taylor's hypothesis, etc ...
* Evaluating stationarity, Taylor's hypothesis, etc ...
* Estimating surface wave velocities
* Estimate surface wave velocities
* Calculate the mean flow past the sensor
 






[[Category:Velocity point-measurements]]
[[Category:Velocity point-measurements]]

Revision as of 18:59, 29 October 2021

Once the raw data has gone through QA/QC, then you must:

  • Split the time series into shorter segments by considering stationarity, and the time and length scales of turbulence
  • determine how (or if at all) missing samples should be replaced
  • Determine the contribution of the mean flow versus turbulence to the velocity field
  • Rotate the measurements into the frame of reference of the mean flow
  • Evaluating stationarity, Taylor's hypothesis, etc ...
  • Estimate surface wave velocities
  • Calculate the mean flow past the sensor