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The equations of motion and their numerical solutions II

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Isopycnic/isentropic equations. Compressible Euler equations. Incompressible Euler equations ... More general isentropic-sigma equations. Konor and Arakawa (1997) ... – PowerPoint PPT presentation

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Title: The equations of motion and their numerical solutions II


1
The equations of motion and their numerical
solutions II
by Nils Wedi (2006) contributions by Mike Cullen
and Piotr Smolarkiewicz
2
Dry dynamical core equations
  • Shallow water equations
  • Isopycnic/isentropic equations
  • Compressible Euler equations
  • Incompressible Euler equations
  • Boussinesq-type approximations
  • Anelastic equations
  • Primitive equations
  • Pressure or mass coordinate equations

3
Shallow water equations
  • eg. Gill (1982)

Numerical implementation by transformation to a
Generalized transport form for the momentum flux
This form can be solved by eg. MPDATA Smolarkiewic
z and Margolin (1998)
4
Isopycnic/isentropic equations
  • eg. Bleck (1974) Hsu and Arakawa (1990)

isentropic
isopycnic
shallow water
defines depth between shallow water layers
5
More general isentropic-sigma equations
Konor and Arakawa (1997)
6
Euler equations for isentropic inviscid motion
7
Euler equations for isentropic inviscid motion
Speed of sound (in dry air 15ºC dry air 340m/s)
8
Reference and environmental profiles
  • Distinguish between
  • (only vertically varying) static reference or
    basic state profile (used to facilitate
    comprehension of the full equations)
  • Environmental or balanced state profile (used
    in general procedures to stabilize or increase
    the accuracy of numerical integrations satisfies
    all or a subset of the full equations, more
    recently attempts to have a locally reconstructed
    hydrostatic balanced state or use a previous time
    step as the balanced state

9
The use of reference and environmental/balanced
profiles
  • For reasons of numerical accuracy and/or
    stability an environmental/balanced state is
    often subtracted from the governing equations

Clark and Farley (1984)
?
10
NOT approximated Euler perturbation equations
  • eg. Durran (1999)

using
11
Incompressible Euler equations
  • eg. Durran (1999) Casulli and Cheng (1992)
    Casulli (1998)

12
Example of simulation with sharp density gradient
Animation
"two-layer" simulation of a critical flow past
a gentle mountain
Compare to shallow water
reduced domain simulation with H prescribed by
an explicit shallow water model
13
Two-layer t0.15
14
Shallow water t0.15
15
Two-layer t0.5
16
Shallow water t0.5
17
Classical Boussinesq approximation
  • eg. Durran (1999)

18
Projection method
Subject to boundary conditions !!!
19
Integrability condition
With boundary condition
20
Solution
Ap f
Since there is a discretization in space !!!
Most commonly used techniques for the iterative
solution of sparse linear-algebraic systems that
arise in fluid dynamics are the preconditioned
conjugate gradient method and the multigrid
method. Durran (1999)
21
Importance of the Boussinesq linearization in the
momentum equation
Two layer flow animation with density ratio
11000 Equivalent to air-water
Incompressible Euler two-layer fluid flow past
obstacle
Incompressible Boussinesq two-layer fluid flow
past obstacle
Two layer flow animation with density ratio
297300 Equivalent to moist air 17g/kg - dry
air
Incompressible Euler two-layer fluid flow past
obstacle
Incompressible Boussinesq two-layer fluid flow
past obstacle
22
Anelastic approximation
  • Batchelor (1953) Ogura and Philipps (1962)
    Wilhelmson and Ogura (1972) Lipps and Hemler
    (1982) Bacmeister and Schoeberl (1989) Durran
    (1989) Bannon (1996)

23
Anelastic approximation
Lipps and Hemler (1982)
24
Numerical Approximation
Compact conservation-law form
Lagrangian Form
?
25
Numerical Approximation
with
LE, flux-form Eulerian or Semi-Lagrangian
formulation using MPDATA advection schemes
Smolarkiewicz and Margolin (JCP, 1998)
?
with
Prusa and Smolarkiewicz (JCP, 2003)
specified and/or periodic boundaries
26
Importance of implementation detail?
Example of translating oscillator (Smolarkiewicz,
2005)
time
27
Example
Naive centered-in-space-and-time discretization
Non-oscillatory forward in time (NFT)
discretization
paraphrase of so called Strang splitting,
Smolarkiewicz and Margolin (1993)
28
Compressible Euler equations
  • Davies et al. (2003)

29
Compressible Euler equations
30
A semi-Lagrangian semi-implicit solution procedure
(not as implemented, Davies et al. (2005) for
details)
Davies et al. (1998,2005)
31
A semi-Lagrangian semi-implicit solution procedure
32
A semi-Lagrangian semi-implicit solution procedure
Non-constant- coefficient approach!
33
Pressure based formulationsHydrostatic
Hydrostatic equations in pressure coordinates
34
Pressure based formulationsHistorical NH
Miller (1974) Miller and White (1984)
35
Pressure based formulationsHirlam NH
Rõõm et. Al (2001), and references therein
36
Pressure based formulationsMass-coordinate
Laprise (1992)
Define mass-based coordinate coordinate
hydrostatic pressure in a vertically
unbounded shallow atmosphere
By definition monotonic with respect to
geometrical height
Relates to Rõõm et. Al (2001)
37
Pressure based formulations
Laprise (1992)
Momentum equation
Thermodynamic equation
Continuity equation
with
38
Pressure based formulationsECMWF/Arpege/Aladin
NH model
Bubnova et al. (1995) Benard et al. (2004),
Benard (2004)
hybrid vertical coordinate
Simmons and Burridge (1981)
coordinate transformation coefficient
scaled pressure departure
vertical divergence
with
39
Pressure based formulations ECMWF/Arpege/Aladin
NH model
40
Hydrostatic vs. Non-hydrostatic
  • eg. Keller (1994)
  • Estimation of the validity

41
Hydrostaticity
42
Hydrostaticity
43
Hydrostatic vs. Non-hydrostatic
Non-hydrostatic flow past a mountain without wind
shear
Hydrostatic flow past a mountain without wind
shear
44
Hydrostatic vs. Non-hydrostatic
Non-hydrostatic flow past a mountain with
vertical wind shear
Hydrostatic flow past a mountain with vertical
wind shear
But still fairly high resolution L 30-100 km
45
Hydrostatic vs. Non-hydrostatic
hill
hill
Idealized T159L91 IFS simulation with parameters
g,T,U,L chosen to have marginally hydrostatic
conditions NL/U 5
46
Compressible vs. anelastic
  • Davies et. Al. (2003)

Lipps Hemler approximation
Hydrostatic
47
Compressible vs. anelastic
48
Normal mode analysis of the switch equations
Davies et. Al. (2003)
  • Normal mode analysis done on linearized equations
    noting distortion of Rossby modes if equations
    are (sound-)filtered
  • Differences found with respect to gravity modes
    between different equation sets. However,
    conclusions on gravity modes are subject to
    simplifications made on boundaries,
    shear/non-shear effects, assumed reference state,
    increased importance of the neglected non-linear
    effects
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