Segmenting datasets: Difference between revisions
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** time and length scales of turbulence | ** time and length scales of turbulence | ||
** [[Stationarity|stationarity]] of the segment | ** [[Stationarity|stationarity]] of the segment | ||
** [[Taylor's | ** [[Taylor's Frozen Turbulence| Taylor's frozen turbulence hypothesis]], etc ... | ||
* Determine how (or if at all) you should replace missing samples | * Determine how (or if at all) you should replace missing samples | ||
Revision as of 19:21, 14 November 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 of the segment
- Taylor's frozen turbulence hypothesis, etc ...
- Determine how (or if at all) you should replace missing samples
- Rotate the measurements into the background (mean) flow's frame of reference
- Use Reynolds decomposition to decompose the velocities into the mean, turbulence and surface waves component.
