dynamic balance of cloud vertical velocity
DESCRIPTION
Dynamic Balance of Cloud Vertical Velocity. Yuanfu Xie and Steve Albers FAB/GSD/ESRL. A variational balance (LAPS). Written in a Lagrangian function,. Poisson Equation for λ (McGinley 1987). Take a perturbation of the Lagrangian function in terms of u, v, ω ,. - PowerPoint PPT PresentationTRANSCRIPT
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Dynamic Balance of Cloud Vertical Velocity
Yuanfu Xie and Steve AlbersFAB/GSD/ESRL
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A variational balance (LAPS)
Written in a Lagrangian function,
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Poisson Equation for λ (McGinley 1987)
Take a perturbation of the Lagrangian function in terms of u, v, ω,
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Poisson Equation for λ (cont’)
Integration by part yields
Or,
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Issues with the Poisson Eqn• Need a efficient 3D solver;• It is complicated for vertical finite difference as vertical
levels are non-uniform (McGinley 1987 uses a uniform grid; unfortunately, LAPS balance uses a uniform grid even it is not (e.g. LAPS_ci domain)!! See qbalpe.f line 2878-2881);
• LAPS uses a relaxation method:– A relaxation is convergent but extremely slow;– Most iterations tries to push shorter waves except the first few
iterations;– It usually results in high frequency noise (balance package
shows a lot of noise in divergence).• STMAS multigrid is a designed scheme for this equation;• A simple trick to see if the minimization is right.
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Evidence of Incorrect vertical finite difference formulation
New adjustment of wind LAPS balance
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A simple trick
• After LAPS/STMAS analysis, the balance package adds cloud ω to wind. Instead of a 3D Poisson solver, a simple scheme is used to adjust wind
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An Approximation of the Balance
• It keeps all wind information from previous analysis except adding vertical gradient of cloud omega to wind divergence;
• Fish package can be easily and efficiently used for solving these 2D Poisson equations;
• A quick verification for improving the forecast scores;
• A simple quick fix of the balance before a more sophisticated implementation.
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Experiments at the CI Domain• There are two STMAS runs set on the convective initiation domain,
(stmas_ci and stmas_ci_cyc) for experimenting;• The two runs are identical except the cloud and omega adjustment
– cloud omega ‘vvmax’ a linear function of reflectivity (along with cloud depth);
– Smoothed cloud omega upon input to balance;– Added cloud omega to the horizontal wind.
• LAPS uses the linear increment and smoothed cloud omega and is better than STMAS HWT forecasts without adding the cloud omega;
• More experiments are needed to evaluate the simple scheme comparing to the linear increment cloud omega and smoothed scheme (test each of three improvements separately).
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Forecast at 2011-09-04 00Z
ETS Bias
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Forecast at 2011-09-04 00Z
ETS Bias
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Forecast at 2011-09-04 00Z
ETS Bias
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Comparison with add_omega
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Divergence, cloud omega and reflectivity plots: 2011-09-04 06Z
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Preliminary Conclusions• LAPS balance uses an incorrect finite difference formula in Poisson
equation (vertical) if the vertical is non-uniform;• The simple trick shows the minimization of balance package indeed
improves ETS; but this simple trick brings in too strong reflectivity forecasts;
• It adjusts wind only but not other fields and is too simple;• It shows that the relaxation scheme in the balance package can be
improved;• A more sophisticated multigrid minimization technique should be
considered in STMAS development.• The wide forecast bias may also warn us on the cloud omega
computation; some sensitivity study is needed;• A correct 3D Poisson equation and multigrid will be applied in
STMAS for improving the balance!
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Evidence of inconsistency between analysis and WRF forecast 0
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Difference between analysis and 0h forecast
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Vertical Finite Difference
• When a uniform vertical grid is used, a center finite difference is correct, such as for a stagger grid, for example, a first derivative,
• This is incorrect if the vertical is not uniform.• What is LAPS balance currently using for ?