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Fundamental equations and methods

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Finite differences, finite volume, and finite element methods (Iskandarani) ... Algorithms for Eulerian and Lagrangian vertical coordinates (Dukowicz) ... – PowerPoint PPT presentation

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Title: Fundamental equations and methods


1
Fundamental equations and methods
  • This session is aimed at establishing a
    foundation for fundamental issues involved with
    building an ocean model. The following points
    will be addressed in this session
  • Physical assumptions and resulting mathematical
    equations discretized in an ocean model
  • Boussinesq versus non-Boussinesq
  • Hydrostatic versus non-hydrostatic
  • Finite differences, finite volume, and finite
    element methods (Iskandarani)
  • Horizontal and vertical meshes Sessions 2 3
  • Algorithms for Eulerian and Lagrangian vertical
    coordinates (Dukowicz)
  • Algorithms/time stepping for fast and slow modes
  • Advective form momentum versus vector invariant
    form velocity
  • Calculation of pressure forces
  • Advective tracer transport
  • Fundamental principles that an ideal ocean model
    should respect (e.g., conservation,
    realizability, etc.)
  • Too much material to do justice to in 1/2 hour
    (or even 1½ hrs)
  • Will focus on some outstanding questions and/or
    curiosities

2
The equations we cant afford to solve
  • Navier-Stokes equations
  • Cant solve for climate for two reasons
  • Scales at which molecular processes act are tiny
    (Kolmogorov )
  • Permits sounds waves

Usually replace T with ?
3
1. Reynolds averaging
  • Define some average/filter/ensemble s.t.
  • Minefield for the non-theoretical!
  • Note absence of Reynolds fluxes in continuity
  • Due to definition of flow as rate of mass
    transport?
  • Molecular terms ltlt eddy terms
  • Can we drop molecular terms?
  • Curiosity - B.C.s for eddy fluxes?

4
2. Muting the ocean (filtering sound)
  • Sound waves essentially linear
  • Very fast
  • Filter with either
  • An-elastic approximation
  • Hydrostatic balance (vertical momentum)
  • Lamb mode (where is it?)
  • (often use both) (or modifying E.O.S.) (or
    )

5
Scaling continuity
  • Partition the full flow into
  • horizontally non-divergence component
  • horizontally divergent/3D non-divergent
  • 3D divergent component

6
Oceanic Boussinesq approximation
  • Boussinesq approximation is most associated with
    z-coordinates for historical reasons
  • rigid-lid -gt z-coordinates -gt Boussinesq
  • Would not consider it now if we hadnt already
    used it!
  • Justification
  • Misunderstandings
  • because

7
Isomorphisms
  • Boussinesq (z)
  • Free boundary
  • Rigid boundary
  • Non-Boussinesq (p)
  • Free boundary
  • Rigid boundary

Identical dynamics described by
Boussinesq/non-Boussinesq equations
8
Energy (currency of physics)
  • Navier-Stokes energetics
  • Conversion between K?F and K?I
  • Boussinesq energetics
  • This is what the real fluid would be doing with
    the Boussinesq solution!
  • Do models need to conserve K, ? and I?
  • and has any model ever done so?
  • Conserve versus diminish?

9
Non-hydrostatic modeling
  • Scaling the vertical momentum equation
  • Non-dimensional
  • Ratios
  • Note that Marshall et al., 95 obtained from the
    buoyancy equation
  • For large scale flows, makes
    smaller
  • NH modeling is more expensive
  • NH modeling is easiest with Boussinesq

10
Assumptions unworthy of mention
  • Thin atmosphere (ocean) approximation
  • Trivial to relax by modifying geometry of grid
  • Spherical earth
  • Easy to include, again through geometric terms
  • Constant gravitational acceleration
  • Only if you use g!
  • Neglect of self-attraction and loading
  • Tough one but needed for tides. Not climate?
  • Circulation alteration by ocean fauna
  • Surface tension
  • Some rocks are more solid than others
  • Two component fluid (solution energy of CFCs!)
  • Non-continuum nature of a fluid (Brownian motion)
  • Relativistic corrections

11
Properties of the continuum to guide numerics
  • Tracer equations exhibit various symmetries
  • Higher moments (used by Bryan, 1969)
  • Led to particular spatial discretizations
    (ignoring time)
  • e.g. globally conserve ?2
  • Higher accuracy regains some credibility
  • Observing monotonicity/extrema
  • Has led to flux correctors/limiters
  • Space-time treatment

Unlimited schemes of various orders
As above with various limiters
Which is better physically more realizable
solution or formally more accurate?
12
Vector invariant form
  • Traditionally z-coordinate models used
    conservative form of momentum equations
  • Requires metric terms specific to horizontal
    coordinate system
  • Layered models more often than not use the vector
    invariant form
  • Invariant for orthogonal coordinate systems
  • Very similar form for non-orthogonal coordinates
  • Very convenient to access PV Q(f?)/h
  • and PV related quantities (hQ, Q2, etc)
  • And KE

13
Similar approaches for momentum?
  • PV is a scalar (PV eqn is a tracer equation)
  • In layered framework, Coriolis terms are just
    the advective transport of PV
  • Applying tracer technology to q avoids
    oscillations in q
  • If we can do same for K, then can drop explicit
    viscosity needed for numerical stability
  • By advecting PV, flow may change
  • Q Do passive tracer principles apply to PV?

14
Burgers equation
  • Inviscid self-advection of momentum
  • Centered F.D. can be very unstable
  • Non-linear methods (e.g. upwinding) produces
    physically more realizable solutions
  • Enquist-Oscilles scheme
  • Gudonov scheme
  • Numerical viscosity versus explicit dissipation?
  • Which is better physically more realizable
    solution or formally more accurate?

15
Solvers!
  • Traditionally, ocean models solve each equation
    independently
  • CFD solvers often solve system as a whole
  • With all the limiters etc
  • Any advantage of one approach over the other?
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