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The model of subgridscale turbulence in the Parallel Ocean Program POP

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Title: The model of subgridscale turbulence in the Parallel Ocean Program POP


1
The ?-model of sub-gridscale turbulence in the
Parallel Ocean Program (POP)
  • Matthew Hecht1, Beth Wingate1
  • and Mark Petersen1 with
  • Darryl Holm1,2 and Bernard Geurts3
  • 1Los Alamos
  • 2Imperial College, Great Britain
  • 3Twente University, Netherlands
  • LA-UR-05-0887

2
Ocean Modeling
  • Ocean models for climate are based on the
    Primitive Equations
  • Shallow approximation
  • Hydrostatic

3
?-model of sub-gridscale turbulence
  • ?-model developed within (un-approximated)
    Navier-Stokes Eqns
  • What if the velocity in the discretized NS eqns
    were really a smoother, time-averaged
    representation of what could exist if finer
    scales were resolved?
  • Leray had proposed something like this -- in 1934
  • Use of a filtered, smoother advecting velocity
    led to a regularization of the NS eqs

4
Kelvins circulation theorem
  • For any closed loop embedded in and moving within
    a fluid, the fluid circulating around that loop
    only spins up or down if work is done on it

Where ?(v) is some closed fluid loop moving with
v(x,t).
5
  • Now, consider a smoother, filtered velocity, as
    Leray did
  • u g v
  • and a closed fluid loop which follows this smooth
    velocity u

After manipulation, get the Kelvin-filtered
Navier-Stokes Eqn
Just like Leray, but with one additional term!
The difference between this and the NS eqns is
what we call the ?-model of turbulence.
6
Eulerian Averaging
  • Tracer concentration is averaged over some
    neighborhood around fixed-space cells

7
Lagrangian Averaging
  • Tracer concentration is averaged over some
    neighborhood which follows the flow

8
Some Applications
9
Turbulent decay, direct and modeled
  • Kang, Chester Meneveau (KCM) at JHU newly
    performed a classic wind-tunnel experiment in
    turbulence decay, at 10X higher Reynolds number
    than was previously possible
  • TWG at Los Alamos provided computational support
    by simulating their experimental results at
    2048-cubed
  • This was the largest-ever computational
    simulation of a turbulence experiment ever
    performed (It produced 11 Tbytes of data for 3
    1/2 eddy turnover times)

10
TWG Simulation of the KCM Experiment
  • Pseudo spectral and spectral methods
  • Resolution 20483
  • 8B grid points
  • 11 TB of data (192GB per snapshot)
  • 2048 CPUs
  • 1 CPU century on ASCI-Q
  • R? 220 ( 100,000)

_______________
11
20483 DNS vs 2563 LANS-a
12
Holm and Nadiga, JPO 2003
13
Holm Nadiga high res soln
secondary gyres, generated by mesoscale eddies
14
Holm Nadiga 1/4 res
Secondary gyres are lost
15
Holm Nadiga1/4 res with ?-model
Secondary gyres recovered (but too strong)
16
Holm Nadiga1/8 res with ?-model
Secondary gyres are reasonable, even at 1/8 of
fully-resolved res.
17
What to expect in 3-D ocean model?
Eddy viscosity model
?-model
forcing
k2
  • Baroclinic instability occurs within the curve
  • Onset occurs at lower wavenumber with ?, even
    without increased forcing

18
Larger time steps may be possible
  • Wingate showed an easing of time step limitation
    in a shallow water model with increasing ?
  • The maximum allowable time step for the shallow
    water ?-model and its relation to time implicit
    differencing, Mon. Weather Review, to appear
    2004.

19
How does this fit in with Gent-McWilliams?
  • GM was intended for tracer eqns
  • transport and mixing of temperature, salinity and
    also passive tracers
  • GM has a diffusive component, as well as an
    advective component
  • though its non-dissipative in terms of density,
    adiabatic

20
? and GM, continued
  • ? comes into momentum and tracer eqns
  • completely non-dissipative for constant alpha
  • GM has been a major advance in ocean modeling for
    climate, particularly in terms of poleward heat
    transports
  • We believe the ?-model can be used with GM to
    improve the turbulent dynamics

21
Test problem for ?-model in POP
  • 4-gyre problem of Holm and Nadiga is excellent,
    but more inertial than one would see in the
    real ocean
  • Antarctic circumpolar-like problem motivated by
    Karsten, Jones and Marshall, JPO, 2002
  • We argue that the eddies themselves are
    fundamental in setting the stratification -- both
    in the horizontal and vertical.
  • Also influenced by work of Henning and Vallis
    (private communication).

22
Eddy transport across the ACC
Karsten, Jones and Marshall, JPO, 2002
23
Meridional fluxes Ekman and Eddy vs surface
buoyancy flux
24
and vertical transports
25
the test problem
  • Channel model, cyclic, with a N/S ridge
  • At 60ºS, /- 8
  • 32º zonal width (re-entrant)
  • Meridional resolutions of 0.1º, 0.2º, 0.4º, 0.8º
  • 11 grid aspect ratio at 60ºS
  • Vertical res 10m_at_surface, 250m_at_depth
  • as in CCSM ocean
  • 4000m max depth, N/S ridge rises to 2500m
  • Buoyancy forcing through restoring of SST
  • 2ºC at 68ºS, 12º at 52ºS
  • Zonal wind stress

26
just a glance at test problem
27
Conclusions
  • Not ready for conclusions

Discussion?
  • ?-model is on a very solid footing in terms of
    theory and application
  • We aim to find out what it will give us in terms
    of the effects of unresolved turbulence on the
    larger scale circulation
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