Parameterization
The representation of the effects of sub-grid scale
processes in terms of grid-scale variables predicted by the model
• NWP models cannot resolve features and/or processes within
a grid box realistically
• Parameterization has its greatest impact on predictions of
sensible weather at the surface
• Physical processes typically parameterized
• Soil moisture/temperature
• Long wave radiation
• Solar isolation/reflection
• Evaporation
• Convection
• Cloud and precipitation processes
• Friction/turbulence
Convective Parameterization Schemes
• Most NWP models use these parameterization Schemes
• Designed to reduce atmospheric instability in the model
• Prediction of precipitation is a by-product of how the
scheme reduces instability
• Expectations of schemes to accurately predict location and
timing of convective precipitation is usually low
Planetary Boundary Layer in NWP
3 reasons
processes need to be parameterized
1. Phenomena are too small or too complex to be resolved numerically
– computers aren’t powerful enough to directly treat them
2. Processes are often not understood well enough to be
represented by an equation
3. Effects profoundly impact model fields and are crucial
for making realistic forecasts
Problems associated with using parameterizations result from:
1. Increasing complexity of parameterization
2. Interactions between parameterization schemes – these are
harder to trace than errors occurring in a single scheme
Dynamics and Numerics of Shallow Water Flows
Outline:
• governing equations
• dimensionles s parameters
• wave propagation, Tsunamis
• hydraulic jumps
• vortex shedding
• Seiche waves
• numerical implementation
Shallow water equations
1. Commonly used in large-scale ocean models
2. Start with Euler’s equations
Phase speed of
shallow-water waves
Hydraulic jumps
Shallow-Water
Flow Past a Ridge
Atmospheric flow past
a ridge
Shallow water equations
• Neglect vertical accelerations
→ Hydrostatic pressure in fluid
−
Assume no vertical variation in (u, v)
a) Advantages
• Allows variable depth in
natural way
• Three coupled, hyperbolic PDEs
• The equations admit (weak)
discontinuous solutions, which approximate breaking waves
b) Disdvantages
• Equations admit no wave
dispersion and no smooth waves of permanent form
• Actual breaking waves create
significant vertical variation in horizontal velocity. These equations give
vertically averaged velocities, at best.
OR IN COMPUTER CODE:
>> Du/Dt = (f0 + beta*y)v -
g*Deta/Dx
>> Dv/Dt = -(f0 + beta*y)u
- g*Deta/Dy
>> Deta/Dt = -H*(Du/Dx +
Dv/Dy)
Can be derived from primitive equations based on a number of assumptions:
1) The fluid is barotropic
2) The hydrostatic or shallow
water assumption based on H<<L
3) Boussinesq assumption
4) neglect vertical component of
Coriolis term
5) neglect small advection and
diffusion terms
6) eta << H
Periods of seiche waves
Dimensionless
Formulation of Shallow-Water Equations
Dimensional formulation dimensionless
formulation
With
Numerical
Implementation
Staggered
Grid
Array
Structure
Numerical Integration
of Momentum Equation
Dimensionless
Formulation
Centered
Differences in space and time
Solve
for time level n+1
Numerical Integration
of Mass Equation
Dimensionless
Formulation
Centered
Differences in space and time
Solve for time level n+1
tambahan :
1. Lower-tropospheric WRF sounding overlays from (a)
nonlocal (YSU and MRF) and hybrid local and nonlocal (ACM2) schemes, and from
(b) local (MYJ and QNSE) and hybrid local–nonlocal (ACM2) schemes, plotted
around and below the 600-mb level at 0400 UTC 1 Jan 2011 for JAN, plotted
beside soundings from the observed JAN sounding and corre-spondingRUC–SFCOA sounding (Cohen et
al. 2015)
2. The velocity decreases
with increasing distance from the point of impact (due to mass conservation).This
provokes the transition from super critical to subcritical condition. The transition
is accompanied by a Hydraucalic Jump, where some of the kinetic energy is
dissipated in turbulence.
3. Constituents of the PBL and their evolution through the diurnal and nocturnal cycles [from Kis and Straka (2010) and Stull (1988)].
3. Constituents of the PBL and their evolution through the diurnal and nocturnal cycles [from Kis and Straka (2010) and Stull (1988)].
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