Segmenting datasets: Difference between revisions
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** time and length scales of turbulence | ** time and length scales of turbulence | ||
** stationarity | ** stationarity | ||
** [Taylor's frozen turbulence| Taylor's frozen turbulence hypothesis], etc ... | ** [[Taylor's frozen turbulence| Taylor's frozen turbulence hypothesis]], etc ... | ||
* determine how (or if at all) missing samples should be replaced | * determine how (or if at all) missing samples should be replaced | ||
Revision as of 19:09, 29 October 2021
Once the raw data has gone through QA/QC, then you must:
- Split the time series into shorter segments by considering:
- time and length scales of turbulence
- stationarity
- Taylor's frozen turbulence hypothesis, etc ...
- 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
- Estimate surface wave velocities
- Calculate the mean flow past the sensor
