Decomposing velocity measurements: Difference between revisions

Revision as of 15:23, 16 November 2021

This step involves separating the raw velocities into:

low-frequency component comprising of the background large-scale flow
high-frequency component comprising of the turbulence and surface wave signals. This component may also include unwanted contributions from the measurement platforms, such as wakes and vibrations associated with the frame.

This decomposition enables determining mean flow past the sensor and surface wave statistics, which are necessary for later choosing the appropriate inertial subrange model for spectral fitting.

@@ Line 6: / Line 6: @@
 This step involves separating the [[quality-controlled Data processing of raw measurements| raw velocities]] into:
 * low-frequency component comprising of the background large-scale flow
-* high-frequency component comprising of the turbulence and surface wave signals.
+* high-frequency component comprising of the turbulence and surface wave signals. This component may also include unwanted contributions from the measurement platforms, such as wakes and vibrations associated with the frame.
-These two components may also include unwanted contributions from the measurement platforms, such as wakes and vibrations associated with the frame (high-frequency). This step enables determining [[Velocity past the sensor|mean flow past the sensor]] and [[Surface wave statistics|surface wave statistics]], which are necessary for later choosing the appropriate [[Velocity inertial subrange model| inertial subrange model]] for [[Spectral fitting|spectral fitting]].
+This decomposition enables determining [[Velocity past the sensor|mean flow past the sensor]] and [[Surface wave statistics|surface wave statistics]], which are necessary for later choosing the appropriate [[Velocity inertial subrange model| inertial subrange model]] for [[Spectral fitting|spectral fitting]].
 ==Methods for decomposing==