the equations of motion and their numerical solutions ii
DESCRIPTION
The equations of motion and their numerical solutions II. by Nils Wedi (2006) contributions by Mike Cullen and Piotr Smolarkiewicz. Dry “dynamical core” equations. Shallow water equations Isopycnic/isentropic equations Compressible Euler equations Incompressible Euler equations - PowerPoint PPT PresentationTRANSCRIPT
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The equations of motion and their numerical solutions II
by Nils Wedi (2006)contributions by Mike Cullen and Piotr Smolarkiewicz
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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
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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. MPDATASmolarkiewicz and Margolin (1998)
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Isopycnic/isentropic equations
eg. Bleck (1974); Hsu and Arakawa (1990);
" "d m
1" "d
isentropic
isopycnic
shallow water
defines depth between “shallow water layers”
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More general isentropic-sigma equations
Konor and Arakawa (1997);
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Euler equations for isentropic inviscid motion
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Euler equations for isentropic inviscid motion
Speed of sound (in dry air 15ºC dry air ~ 340m/s)
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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
Reference and environmental profiles
e
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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)
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*NOT* approximated Euler perturbation equations
using:
eg. Durran (1999)
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Incompressible Euler equations
eg. Durran (1999); Casulli and Cheng (1992); Casulli (1998);
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"two-layer" simulation of a critical flow past a gentle mountain
reduced domain simulation with H prescribed by an explicit shallow water model
Animation:
Compare to shallow water:
Example of simulation with sharp density gradient
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Two-layer t=0.15
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Shallow water t=0.15
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Two-layer t=0.5
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Shallow water t=0.5
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Classical Boussinesq approximation
eg. Durran (1999)
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Projection method
Subject to boundary conditions !!!
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Integrability condition
With boundary condition:
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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)
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Importance of the Boussinesq linearization in the momentum
equation
Incompressible Euler two-layer fluid flow past obstacle
Two layer flow animation with density ratio 1:1000 Equivalent to air-water
Incompressible Boussinesq two-layer fluid flow past obstacle
Two layer flow animation with density ratio 297:300 Equivalent to moist air [~ 17g/kg] - dry air
Incompressible Euler two-layer fluid flow past obstacle
Incompressible Boussinesq two-layer fluid flow past obstacle
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Anelastic approximation
Batchelor (1953); Ogura and Philipps (1962); Wilhelmson and Ogura (1972); Lipps and Hemler (1982); Bacmeister and Schoeberl (1989); Durran (1989); Bannon (1996);
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Anelastic approximation
Lipps and Hemler (1982);
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Numerical Approximation
Compact conservation-law form:
Lagrangian Form:
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Numerical Approximation
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
with
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Importance of implementation detail?
Example of translating oscillator (Smolarkiewicz, 2005):
time
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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)
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Compressible Euler equations
Davies et al. (2003)
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Compressible Euler equations
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A semi-Lagrangian semi-implicit solution procedure
Davies et al. (1998,2005)
(not as implemented, Davies et al. (2005) for details)
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A semi-Lagrangian semi-implicit solution procedure
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A semi-Lagrangian semi-implicit solution procedure
Non-constant-coefficient approach!
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Pressure based formulationsHydrostatic
Hydrostatic equations in pressure coordinates
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Pressure based formulationsHistorical NH
Miller (1974); Miller and White (1984);
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Pressure based formulationsHirlam NH
Rõõm et. Al (2001), and references therein;
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Pressure based formulationsMass-coordinate
Define ‘mass-based coordinate’ coordinate: Laprise (1992)
Relates to Rõõm et. Al (2001):
By definition monotonic with respect to geometrical height
‘hydrostatic pressure’ in a vertically unbounded shallow atmosphere
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Pressure based formulations
Laprise (1992)
with
Momentum equation
Thermodynamic equation
Continuity equation
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Pressure based formulationsECMWF/Arpege/Aladin NH model
Bubnova et al. (1995); Benard et al. (2004), Benard (2004)
hybrid vertical coordinate
coordinate transformation coefficient
scaled pressure departure
‘vertical divergence’
with
Simmons and Burridge (1981)
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Pressure based formulations ECMWF/Arpege/Aladin NH model
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Hydrostatic vs. Non-hydrostatic
eg. Keller (1994)
• Estimation of the validity
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Hydrostaticity
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Hydrostaticity
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Hydrostatic vs. Non-hydrostaticNon-hydrostatic flow past a mountain without wind shear
Hydrostatic flow past a mountain without wind shear
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Hydrostatic vs. Non-hydrostaticNon-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
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Hydrostatic vs. Non-hydrostatic
hill hillIdealized T159L91 IFS simulation with parameters [g,T,U,L] chosen to have marginally hydrostatic conditions NL/U ~ 5
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Compressible vs. anelastic
Davies et. Al. (2003)
Hydrostatic
Lipps & Hemler approximation
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Compressible vs. anelastic
Equation set V A B C D E
Fully compressible 1 1 1 1 1 1Hydrostatic 0 1 1 1 1 1Pseudo-incompressible (Durran 1989) 1 0 1 1 1 1Anelastic (Wilhelmson & Ogura 1972) 1 0 1 1 0 0Anelastic (Lipps & Hemler 1982) 1 0 0 1 0 0Boussinesq 1 0 1 0 0 0
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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 …