Segmenting datasets: Difference between revisions
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* Split the time series into shorter segments by considering: | * Split the time series into shorter segments by considering: | ||
** time and length scales of turbulence | ** time and length scales of turbulence | ||
** stationarity | ** [[Stationarity|stationarity]] of the segment | ||
** [[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 | ||
* Rotate the measurements into the frame of reference of the mean flow | * Rotate the measurements into the frame of reference of the mean flow | ||
* | * Separate the total velocity records using [[Reynolds decomposition]] to obtain: | ||
* | ** surface wave velocities | ||
** turbulence velocities | |||
** background mean flow past the sensor | |||
Revision as of 19:16, 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 of the segment
- Taylor's frozen turbulence hypothesis, etc ...
- Determine how (or if at all) missing samples should be replaced
- Rotate the measurements into the frame of reference of the mean flow
- Separate the total velocity records using Reynolds decomposition to obtain:
- surface wave velocities
- turbulence velocities
- background mean flow past the sensor
