Processing your ADCP data using structure function techniques: Difference between revisions
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# Use the coefficient <math>a_1</math> to calculate <math>\varepsilon</math> as <br /><br /> <math>\varepsilon = \left(\frac{a_1}{C_2}\right)^{2/3}</math> <br /><br /> where <math>C_2</math> is an [[ Structure function empirical constant | empirical constant]], typically taken as 2.0 or 2.1. | # Use the coefficient <math>a_1</math> to calculate <math>\varepsilon</math> as <br /><br /> <math>\varepsilon = \left(\frac{a_1}{C_2}\right)^{2/3}</math> <br /><br /> where <math>C_2</math> is an [[ Structure function empirical constant | empirical constant]], typically taken as 2.0 or 2.1. | ||
Revision as of 21:11, 29 November 2021
To calculate the dissipation rate at a specific range bin and a specific time ensemble:

- Extract or compute the along-beam bin center separation [] based on the instrument geometry
- Calculate the along-beam velocity fluctuation time-series in each bin , where [Failed to parse (syntax error): {\displaystyle v’(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)
- Select the maximum distance () over which to compute the structure function based on conditions of the flow (e.g., expected max overturn). The corresponding number of bins is []
- Calculate the structure function for all possible bin separations using either a bin-centred difference scheme or a forward-difference scheme. Consider QA2 requirements when choosing differencing scheme.
- Perform a regression of against for the appropriate range of bins and r0 separation distances. Be aware of special considerations for forward-difference, center-difference schemes.
- Use the coefficient to calculate as
where is an empirical constant, typically taken as 2.0 or 2.1.
Next step: Apply quality-control on dissipation rates (QA2)
Previous step: Apply quality-control on velocity time series data (QA1)
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