Precipitation and other microphysical processes Radiatively active
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Precipitation and other microphysical processes
Radiatively active clouds
Convection
Turbulence
Gravity waves
Chemical processes
Scale dependence
At a point, everything is simple.
Continuum approximation
Motion, thermodynamics
Thermodynamic equilibrium holds.
Averaging smooths things out.
Averaging length is not necessarily the grid size
Nevertheless, when we average, things get complicated.
Motion, thermodynamics
Thermodynamic equilibrium does not apply to the averaged state.
What averaged fields are we interested in?
States
Temperature
Water vapor
Horizontal wind vector
Rates
Precipitation
Radiation
Convective and turbulent fluxes of sensible heat, moisture, and momentum
Things that happen when you average
Mean liquid water positive even though the mean RH is less than 100%
Fractional cloudiness
Fluxes due to scales smaller than the averaging length
What is parameterization?
Needed in both numerical and analytical models
Not just an engineering exercise -- not just a means to an end
Not made obsolete by infinitely powerful computers
Compare parameterizations for geophysics and engineering. Do physicists parameterize? What
does it mean to "explain" something?
Kinetic theory of ideal gases --> Ideal Gas Law
Specific parameterizations
Deep convection
Moist convective adjustment
Arakawa-Schubert
Kane-Fritsch
Emanuel
For analytical models
For numerical models
Stratiform clouds
Smagorinsky
Sundqvist
Tiedtke
PBL
Deardorff
Lilly
Mellor-Yamada and follow-ons
Lappen-Randall
Shallow convection
Betts
Tiedtke
Bretherton
Super-parameterization
First-generation
Second-generation
Friction
under-studied problem
Horizontal diffusion
under-studied problem
Numerics and parameterizations
under-studied problem
Testing parameterizations
GATE and other early experiments
ARM and GCSS
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