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Mean and Fluctuating Quantities

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Presentation on theme: "Mean and Fluctuating Quantities"— Presentation transcript:

1 Mean and Fluctuating Quantities
Ocean Surface 3D Turbulence Current Meter Mean Flow Fluctuating Flow One Dimensional Measurement time

2 Three Types of Averages Ensemble
Time Space Ergodic Hypothesis: Replace ensemble average by either a space or time average

3 Concept of Correlation Function
Auto Correlation Function Cross Correlation Function

4 Correlation Function R
Concept of Spatial Homogeneity and Temporal Stationarity Time or Space Correlation Function R

5 Homogeneous/Stationary I D Correlation Function

6 Velocity Cross Correlation Function
Auto Covariance Function

7 r 1 r=0 x Time or Space Axis

8 Concept of Structure Function
Integral scale Microscale

9 Taylor’s Microscale Temporal case Spatial case

10 How to Calculate Correlation Functions from Data
x, t L,T

11 Concept of Spectrum Temporal Spectrum

12 Spatial Spectra Terminology

13 x r Normalized Correlation Function and Spectra
Integral Scale = Area under curve r x You can show that:

14 3D + Time Spectra

15 Gradient Spectra

16

17 Spatial Spectra Gradient Spectra

18 Use of the Log-Log plot Linear Plot Log-Log Plot p=-2 100 p=2 p=-2 p=2
20 10 100 p=-2 p=2

19 Spectra Area under curve Interpret k as eddy of size Gradient Spectra

20 Consider Model Correlation Function
is the area under w Consider Model Correlation Function

21 From F we create a simulation of and

22

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24 Calculation of Spectra
Spectra = Decomposition of Variance into contributions by sines/cosines L

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28 Calculation of Spectra of u’
Dx 1. Choose Sampling (digitizing) Dx 2. Calculate f the DFT (Discrete Fourier Transform) of sections of u’ 3. Estimate Spectra by where & 1 2 3 n

29 The Uncertainty Principle

30 Developing the Concept of an Eddy
Real(u) f

31 The Eddy

32

33 Q

34 kQ

35 kQ


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