Forward-difference: Difference between revisions

From Atomix
No edit summary
Djwain (talk | contribs)
No edit summary
Line 1: Line 1:
For the '''forward-difference''' scheme
For the '''forward-difference''' scheme
# start with <math>n</math> being the lowest number bin of the range over which the structure function is to be evaluated (number of bins in range must exceed <math>n_{\text{max}}</math>
# start with <math>n</math> being the lowest number bin of the range over which the structure function is to be evaluated (number of bins in range must not exceed <math>n_{\text{max}}</math>)
## start with <math>\delta = 1</math>
## start with <math>\delta = 1</math>
## compute the second order forward-difference structure function <math>D(n,\delta)</math> as the segment mean of the square of the velocity difference between the bin <math>n</math> and bin <math>n + \delta</math>: <br/><br /> <math>D(n, \delta) = \Big\langle \big[v^\prime(n, t) - v^\prime(n+\delta,\ t)\big]^2 \Big\rangle</math> <br/><br /> where the angled brackets indicate the mean across all <math>t</math> for the data segment yielding a velocity difference after the application of the Level 1 QC criteria
## compute the second order forward-difference structure function <math>D(n,\delta)</math> as the segment mean of the square of the velocity difference between the bin <math>n</math> and bin <math>n + \delta</math>: <br/><br /> <math>D(n, \delta) = \Big\langle \big[v^\prime(n, t) - v^\prime(n+\delta,\ t)\big]^2 \Big\rangle</math> <br/><br /> where the angled brackets indicate the mean across all <math>t</math> for the data segment yielding a velocity difference after the application of the Level 1 QC criteria

Revision as of 21:27, 14 November 2021

For the forward-difference scheme

  1. start with <math>n</math> being the lowest number bin of the range over which the structure function is to be evaluated (number of bins in range must not exceed <math>n_{\text{max}}</math>)
    1. start with <math>\delta = 1</math>
    2. compute the second order forward-difference structure function <math>D(n,\delta)</math> as the segment mean of the square of the velocity difference between the bin <math>n</math> and bin <math>n + \delta</math>:

      <math>D(n, \delta) = \Big\langle \big[v^\prime(n, t) - v^\prime(n+\delta,\ t)\big]^2 \Big\rangle</math>

      where the angled brackets indicate the mean across all <math>t</math> for the data segment yielding a velocity difference after the application of the Level 1 QC criteria
    3. increment <math>\delta</math> and repeat steps until <math>\delta = n_{\text{rmax}}</math> or <math>n + \delta</math> exceeds the last bin of the range over which the structure function is to be evaluated
  2. increment <math>n</math> and repeat steps until <math>n + 1</math> is the last bin of the range over which the structure function is to be evaluated

See example forward-difference calculation for more detail regarding the calculation


Return to Compute structure functions and dissipation estimates