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Boundary%20Layer%20Meteorology%20Lecture%204

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Stationary Turbulence is constant is independent of translation along the time axis. ... Can we fudge it? First order closures: ... – PowerPoint PPT presentation

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Title: Boundary%20Layer%20Meteorology%20Lecture%204


1
Boundary Layer Meteorology Lecture 4
  • Turbulent Fluxes
  • Energy Cascades
  • Turbulence closures
  • TKE Budgets

2
Turbulent Fluxes
  • Terminology
  • Stationary Turbulence is constant is independent
    of translation along the time axis.
  • Homogeneous Turbulence is independent of
    translation along any spatial axis.
  • Isotropic Turbulence is statistically independent
    of rotation, reflection or translation

3
Energy Cascades
  • Kolmogorov Theory
  • Existence of equilibrium range of scales of
    motion in which the average properties are
    determined uniquely by the fluids viscosity and
    the total dissipation. ?k
    ???????????v?????????
  • Existence of an inertial subrange within the
    equilibrium range, but removed from the scales
    where viscous forces are important, where only
    inertial transfer of energy is important. 1/ls
    ltlt ? ltlt 1/?k

4
Turbulence Closures
  • Equation 2.42 has unknowns like
    . How do we solve for it?
  • Note that the problem arises from Reynolds
    Averaging. Why do we need Reynolds averaging?
    Because we dont have enough computing power to
    span the whole inertial subrange, bridging the
    scales where viscosity matters to the scales we
    care about (10s of meters to a few kilometers in
    the vertical). As Garratt points out, wed need
    a trillion grid points to do this explicitly.
    Can we fudge it?

5
First order closures
  • Can be as simple as assuming us K ds/dx, with
    constant K
  • Or as complicated as prescribing a vertical and
    time dependence of K (which will also vary
    depending on whats being transported), where K
    might depend on the local shear and on the
    Richardson number.

6
One-and-a-half oder closure
  • In this case we acknowedge that an eddy
    diffusivity (K) ought to depend on the kinetic
    energy of the eddy part of the flow so we
    should maybe predict the TKE for each location.
    Further simplifications are introduced to make
    this possible (see chapter 8).

7
Second-order closure
  • Maybe if a crude assumption for nth order
    moments predicts (n-1)th moments adequately,
    perhaps a similar assumption for (n1)th moments
    will predict nth moments just as well (Lumley
    Khajeh-Nouri, 1974, quoted by Garratt).
  • uiujuk terms usually parameterized by assuming
    down-gradient diffusion of uiuj terms.
  • Dissipation usually parameterized in terms of TKE
    and a large-eddy length scale (probably at least
    a little arbitrary).

8
TKE budget equation
  • De/Dt S B T DS shear production B
    bouyancy flux T transport pressure work D
    dissipation
  • See Bretherton Notes 3.
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