Processing your ADCP data using structure function techniques

To calculate the dissipation rate at a specific range bin and a specific time ensemble:

Schematic showing along-beam distance $r$ and radial velocities.

1. Extract or compute the along-beam bin center separation [$\delta r_0$] based on the instrument geometry
2. Calculate the along-beam velocity fluctuation time-series in each bin $n$, where [Failed to parse (syntax error): {\displaystyle b’(n, t)} ] from the along-beam velocity data that has met the QC criteria (i.e. the data in Level 2 of the netcdf file)
3. Select the maximum distance ($r_{max}$) over which to compute the structure function based on conditions of the flow (e.g., expected max overturn). The corresponding number of bins is [$n_{\text{rmax}}=r_{max}/r_0$]
4. Calculate the structure function $D_{ll}$ for all possible bin separations $\delta$ within $r_{max}$ using either a bin-centred difference scheme or a forward-difference scheme.
5. Perform a regression of $D_{ll}(n,\delta )$ against $(\delta r_0{)}^{2/3}$ for the appropriate range of bins and $\delta$r₀ separation distances. Be aware of special considerations for forward-difference, center-difference schemes in setting up the regression calculation. The regression is typically done as a least-squares fit, either as:
   
   $D_{ll}=a_0+a_1(\delta r_0{)}^{2/3}$; or as
   $D_{ll}=a_0+a_1(\delta r_0{)}^{2/3}+a_3((\delta r_0{)}^{2/3}{)}^3$
   
   the former being the canonical method that excludes non-turbulent velocity differences between bins, whereas the latter is a modified method that includes non-turbulent velocity differences between bins due to any oscillatory signal (e.g. surface waves, motion of the ADCP on a mooring).
6. Use the coefficient $a_1$ to calculate $\epsilon$ as
   
   $\epsilon ={\left(\frac{a_1}{C_2}\right)}^{2/3}$
   
   where $C_2$ is an empirical constant, typically taken as 2.0 or 2.1.

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