© crown copyright met office cloudier evaluating a new gcm prognostic cloud scheme using crm data...
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CloudierEvaluating a new GCM prognostic cloud scheme using CRM dataCyril Morcrette, Reading University, 19 February 2008
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The need for a cloud scheme
• Clouds exists well before grid-box reaches 100% relative humidity.
• But clouds exists on scales much smaller than GCM grid boxes.
• Can’t represent them explicitly.
• Need to parameterize them.
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Summary of moisture variables in our Cloud Scheme
Variable Current scheme PC2
qcl (Liquid Water Content) Diagnostic Prognostic
qcf (Ice Water Content) Prognostic Prognostic
qt (Total water content) Prognostic qt=qcl+qcf
Cl (Liquid cloud fraction) Diagnostic Prognostic
Cf (Ice cloud fraction) Diagnostic Prognostic
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Fields from LEM simulation of TOGA-COARE (Tropical convection)
Mean qcl in env Mean qcf in env
Liquid cloud fraction Ice cloud fraction
Hei
ght
(km
)
Time (hours)
Hei
ght
(km
)
Hei
ght
(km
)H
eigh
t (k
m)
20
144
0.1 g/kg
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Tendencies from the LEM fields
d (qcl) / dt d (qcf) / dt
d (Cl) / dt d (Cf) / dt
0.36 / hr
0.036 g/kg/hr
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Increments from Convection
Detrainment
dx/dt=D(xplume-xenv)
Detrainment
Also consider:
• vertical transport by compensating subsidence
• evaporation following warming due to compensating subsidence.
(These are small effects)
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Increments from Convectiond (qcl) / dt
d (Cl) / dt
d (qcf) / dt
d (Cf) / dt
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Microphysical effects on d(qcf)/dtDeposition Sublimation
Autoconversion of ice crystals to snow Fall of ice
0.036 g/kg/hr
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Effects on d(qcf)/dt
All microphysics
Advection by compensating
subsidence
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Effects on d(Cf)/dtFall of ice
Sublimation
Advection by compensating
subsidence
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Effects on d(qcl)/dt Adiabatic warming by compensating
subsidenceAdvection by compensating subsidence
Large-scale forcing Boundary-layer processes
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Effects on d(Cl)/dt Adiabatic warming by compensating
subsidence
Boundary-layer processesLarge-scale forcing
Advection by compensating subsidence
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Parameterized tendenciesd (qcl) / dt d (qcf) / dt
d (Cl) / dt d (Cf) / dt
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Comparing Tendencies
d (qcl) / dt
d (qcf) / dt
d (Cl) / dt
d (Cf) / dt
“Truth” from LEM Parametrization
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Conclusions (work in progress)
• General methodology seems promising.
• Source from convective detrainment appears to be too high. (This may be due to way detrainment is calculated from LEM data)
Future work• Consider using a diagnostic cloud fraction for shallow convection which doesn’t have large anvils.
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Questions and answers
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Extra figures
Massflux