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OUTLINE
I. ParameterizaKonofSymmetricTurbulence(i.e.,PBLScheme)• DryTurbulenceScheme(CAM3PBL)
• MoistTurbulenceScheme(CAM4PBL)
II. CloudMacrophysics• NetCondensaKonRateofWaterVaporintoCloudLiquid(Q)• CloudFracKon(a)
• VerKcalOverlapofCloudFracKon
DEFINITIONS
ModelNames
• CAM3.5:CAM3.0+Revised Deep Convection +etc.
• CAM4 :CAM3.5+All New Atmospheric Physics (~CAMUW )
€
∂A ∂t
= − V ⋅ ∇A + Q A −
∂∂z
′ w ′ A
AdiabaKcMixingbyTurbulences
SymmetricTurbulence
(PBLScheme~SymmetricTurbulenceScheme)
AsymmetricTurbulence
(ConvecKonScheme~AsymmetricTurbulenceScheme)
€
′ w ′ A = (wu − w ) ⋅ (Au − A )
€
Au − A = −ΓA ⋅ l
€
′ w ′ A = −l ⋅ l ⋅ ∂u ∂z
⋅ S ⋅ ΓA
SingleSmall‐ScaleTurbulence
€
ΓA ≡ ∂A ∂z
€
l
€
z €
A
€
wu − w ≈ uu − u ⋅ S = l ⋅ ∂u ∂z
⋅ S
€
KA
€
′ w ′ A = −KA ⋅ ΓA − γA( )
Non‐LocalTerm
€
′ w ′ A = −l ⋅ l ⋅∂ u∂z
⋅ S ⋅ ΓA
€
′ w ′ A = l ⋅V ( ′ w ′ θ v )o,( ′ w ′ u )o; e( ) ⋅ S ⋅ ΓA , e ≡ 0.5 ⋅ ( ′ u 2 + ′ v 2 + ′ w 2)
€
∂∂t
′ w ′ A = −∂∂z
′ w ′ w ′ A + ... , ′ w ′ w ′ A = −l ⋅V ( e) ⋅ S ⋅ ∂∂z
′ w ′ A
€
A(t + Δt,z =1)A(t + Δt,z = 2)A(t + Δt,z = 3)A(t + Δt,z = 4)
=
c11 c12 c13 c14c21 c22 c23 c24c31 c32 c33 c34c41 c42 c43 c44
⋅
A(t,z =1)A(t,z = 2)A(t,z = 3)A(t,z = 4)
€
∂∂t
′ w ′ w ′ A = −∂∂z
′ w ′ w ′ w ′ A + ... , ′ w ′ w ′ w ′ A = −l ⋅V ( e) ⋅ S ⋅ ∂∂z
′ w ′ w ′ A
CAM3DryTurbulenceSchemewithNon‐LocalTerm
CAM4MoistTurbulenceScheme
HigherOrderClosure
TransilientTheory
€
l
€
′ w ′ θ v( )o≤ 0
€
u*
€
k ⋅ z ⋅ 1− z h( )2
€
lc
€
u*3 + 0.6 ⋅ w*
3( )1/ 3
€
lc ⋅∂ u
∂z
€
Sm
€
V
€
Sh
€
1+10 ⋅ Ri ⋅ 1+ 8 ⋅ Ri( )( )−1 , Ri > 0€
1−18 ⋅ Ri( )1 2 , Ri ≤ 0
€
φm,u−1
€
φh,u−1€
1
€
Prz= 0.1h−1
€
u*
€
φm,s−1
€
φh,s−1
€
γ h
€
γ h
€
0
€
z = 0.1⋅ h
€
z = h
€
V
€
Sm
€
Sh
€
u*,u*θ*,u*q*[ ]
€
θv
€
′ w ′ θ v( )o> 0
1stOrderNon‐LocalClosureforDryTurbulence:CAM3
€
u*,u*θ*,u*q*[ ]
€
l€
e
€
k ⋅ z( )−1 + η ⋅ lc( )−1[ ]−1
€
Sm
€
V
€
Sh
€
z = h
€
Δz
€
Sm
€
Sh
€
We €
Sm
€
Sh
€
1
€
1€
k ⋅ z( )−1 + η ⋅ lc( )−1[ ]−1
€
e€
θv
1.5OrderLocalClosureforMoistTurbulence:CAM4
€
u* = ′ w ′ u ( )o
2
€
w* = (g /θv ) ⋅ ′ w ′ θ v( )o⋅ h[ ]
1/ 3
€
w* = 2.5 ⋅ (g /θv ) ⋅ ′ w ′ θ v( )(z)0
h
∫ ⋅ dz
1/ 3
€
e = 6 ⋅ le⋅ (g /θv ) ⋅ ′ w ′ θ v − ′ w ′ u ⋅ ∂u
∂z
+ 24 ⋅
lh⋅ e − e( )
ComparisonofTurbulenceVelocity
CAM3DryTurbulence
CAM4MoistTurbulence
CAM4handleselevatedsourcesofturbulentenergy.CriKcalforsimulaKngmoistturbulenceassociatedwithclouds.
[Nicholls1984,Quart.J.R.Met.Soc.]
LWRadiaKveFluxatthetopofCloud
Cloud
PBL
[Wm‐2]
LW LWZ[m]
270 350
StrongLWcoolingisconfined
atthestratocumulustop.
TURBULENCEGENERATEDBYBOUNDARYHEATING
Warmairrises&
Coldairsinks
PotenKalenergyisconvertedtokineKcenergy
Turbulenceisgenerated
SurfaceWarmingor
TopCoolingMBLTop
MBLBase
TurbulenceisgeneratedbyMBLtopLWcoolingdrivenbystratocumulus
TURBULENCEGENERATEDBYCONDENSATIONHEATING
UnsaturatedPerturbaKon
TheperturbedairparcelwillreturntoitsoriginalposiKon
Turbulenceisdissipated
SaturatedPerturbaKon
TheperturbedairparcelwillconKnueitsoriginalmoKon
Turbulenceisgenerated
TurbulenceisgeneratedbycondensaKon‐evaporaKonheaKng,whichisinturncontrolledbycloudfracKonwithinthegrid.
Cloud‐topLWcooling
Cloud‐RadiaKon‐TurbulenceInteracKons
• SustainSaturatedPBLTop• Deeper,Drier,Well‐MixedmeanPBL
Entrainment
CondensaKon‐EvaporaKon
SUMMARY
IncontrasttothedryturbulenceschemeinCAM3,themoistturbulenceschemeinCAM4takesintoaccountof
elevatedsourcesofTKEassociatedwithclouds.
CAM4successfullysimulatescloud‐toppedPBLaswellasdryPBL.
WHATISCLOUD?
CLOUD:Thesumofvolumeelementscontainingcondensates.5keyproperKes:a,LWC,IWC,N(rl),N(ri)
Liquid
liquiddroplet
icecrystal
volumeelement
vaporflux
vaporpressure
CLI :Heterogeneous(Immersion)freezing Bergeron‐FindeisendeposiKonfreezingCLS :AccreKonofcloudliquidbysnow Bergeron‐FindeisenconversionCLR:Autoconversionofcloudliquidintorain AccreKonofcloudliquidbyrainCIS :Autoconversionofcloudiceintosnow AccreKonofcloudicebysnowCRS :AccreKonofrainbysnow Heterogeneousfreezing Homogeneousfreezing
CSED,L :SedimentaKonofcloudliquidCSED,I :SedimentaKonofcloudiceEL :EvaporaKonofsedimentedcloudliquidEI :EvaporaKonofsedimentedcloudiceER :EvaporaKonofrainES :EvaporaKonofsnowQL :NetcondensaKonintocloudliquidQI :NetcondensaKonintocloudice
CLOUDLIQUID
CLOUDICE
RAIN SNOW
CLI
CRS
CLS CIR=0CLR CIS
QL QI
ER ES
CSED,LEL CSED,I EI
Self‐CollecKon Self‐CollecKon
CondensateSystem(a)
ATc,Aqt
WhatdoesCloudMacrophysicsdo?
• CondensaKonrateofwatervaporintocloudliquid(Q)
• CloudfracKon(a)
• VerKcaloverlapofcloudfracKon
I.BULKSATURATIONADJUSTMENT
€
a(U)
€
ˆ U =1
in‐cloudcondensaKon
clearskyevaporaKon
changeofcloudfracKon
Aqv>0
€
ˆ Q cloud > 0 , ˜ Q clear ≥ 0 , ∂a∂t
> 0
Aql>0
€
ˆ Q cloud = 0 , ˜ Q clear < 0 , ∂a∂t
= 0
AT>0
€
ˆ Q cloud < 0 , ˜ Q clear = 0 , ∂a∂t
< 0
BULKvsPDF‐basedApproach
€
a(U) =U −Uc
1−Uc
2
€
Δqtqs,w
=1−Uc
€
a(U) = ...
0.88 0.9 0.92 0.94 0.96 0.98 10
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
RH vs a
RH
a
CAM35
CAM40
0.88 0.9 0.92 0.94 0.96 0.98 10
2
4
6
8
10
RH vs G of PDF
RH
G
€
Uclr =U − a1− a
=(1−Uc ) a +Uc − a
1− a
€
Uclr(a→1) =1+Uc
2
€
Uclr =U − a1− a
= ......
€
Uclr(a→1) =1
ConsistencybetweenCloudFracKonandIn‐CloudLWC
• Forcethelayeratp=900[hPa],T=280[K],qv=6.84[gkg‐1],ql=0.16[gkg‐1],a=0.6,∆p=20[hPa]withvariousexternalforcingsoftemperature(AT)andwatervapor(Aqv)
• Examine‘Q’and‘∆avs∆ql,cloud’.
• TestforBulkandPDF‐basedapproachwithahalfwidthoftotalspecifichumidity=0.1*qs(T,p)correspondingtoUc=0.9.
ConvecKon
RadiaKon
PBLProcess
Dynamics
Macro‐Microphysics
ConvecKons CAM3 CAM35
EquilibriumCAM35=CAM4
3DifferentConfiguraKonsofBulkSaturaKonAdjustments
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Toolargein‐cloudLWCcomparedtocloudfracKon
VerKcalCloudOverlap
x
x
MaximumOverlap
€
Δz
€
a1 = 0.5
€
a2 = 0.5
€
amax,overlap = 0.5
x
x
MinimumOverlap
€
amin,overlap = 0
x
x
RandomOverlap
€
aran,overlap = 0.25
€
aoverlap = λ ⋅ amax,overlap + (1− λ) ⋅ aran ,overlap
€
λ = exp(−Δz /2000)
Cloud
TopInterface
BaseInterface
PrecipitaKon
MaximumOverlap
:Aerosol :CloudDroplet :PrecipitaKonDroplet
ParameterizaKonof’CloudOverlapStructure’
hasdirectinfluenceson
ProducKonofPrecipitaKon
EvaporaKonofPrecipitaKon
DeposiKonofAerosolAerosolIndirectEffect
RadiaKon
etc.(wetchemistry…)
ClearSky
PrecipitaKon
MinimumOverlap
• Cumulus
• RH(RelaKveHumidity)Stratus
• KH(Klein‐Hartmann)Stratus
€
as,KH = f (S) , S ≡θv (700) −θv (1000)
3CloudTypesinCAM3
€
ac = f (M) , M : ConvecKveUpdratMassFlux
€
as,RH = f (RH) , RH : Grid‐MeanRelaKveHumidity
:Cumulus
:RHStratus
:RHStratus+Cumulus
:RHStratus+KHStratus
:KHStratus :KHStratus+Cumulus
:Cumulus
:RHStratus=Stratus
HorizontalGeometryofCloudsinCAM
CAM35 CAM4
VerKcalCloudOverlapinCAM
• RadiaKon(SWandLW)• Combine‘cumulus’and‘stratus’into‘onesinglecloud’ineachlayer.• MaximumoverlapineachofthreeregionsrepresenKngthelower,middle,anduppertroposphereandrandomoverlapbetweentheseregions.
• ConvecKon(deepandshallowconvecKons)• WheneverconvecKveprecipitaKonfluxisposiKve,convecKveprecipitaKonareais1.
• StraKformMicrophysics• StratusismaximallyoverlappedwithstraKformprecipitaKonarea.
• WetDeposiKonofAerosol• UseaddiKonaloverlappingassumpKonsdifferentfromtheabove….
WeneedtouseaunifiedverKcalcloudoverlapstructureforallschemesbyconsideringdifferentverKcaloverlappingnaturesofcumulusandstratus.
• Cumulusisnothorizontallyoverlappedwithstratusinasinglelayer.
• CumulushasitsownLWCdifferentfromtheLWCofstratus.CumulusandstratushavedifferentradiaKveproperKes.
• CumulushasadifferentverKcaloverlappingstructurefromstratus:CumulusismaximallyoverlappedwithcumulusregardlessofverKcalseparaKondistance.
UnifiedCloudOverlappingScheme
• HorizontalGeometry
– ‘Cumulus’and‘Stratus’arenon‐overlapped
• VerKcalGeometry
– Cumulus:‘Maximally’overlapped
– Stratus:‘Randomly’overlapped
OverlappingAreaBetween‘ConvecKvePrecipitaKonArea’and‘StratusCloudFracKon’
€
a sc =
iN
⋅
i= imin
imax
∑ P(i)PTOT
€
imin = max(0,max(N ⋅ ac − n ,0)− N ⋅ ar )
€
imax = min(N ⋅ as ,N ⋅ ac − max(n − N ⋅ am ,0))
€
P( i) = N ⋅asCi( ) ⋅ N ⋅ac
Pi( ) ⋅ N ⋅acCj( ) ⋅ N ⋅am
Pj( ) ⋅ N ⋅ac −iPN ⋅ac −j( ) ⋅ N −N ⋅ac −j
PN ⋅as −i( )[ ]j=jmin
jmax
∑
⋅ N ⋅ar
PN ⋅ar( )
€
jmin = max(N ⋅(ac − ac )+ i,0)
€
jmax = min(N ⋅ ac ,N ⋅ am ,N ⋅(1− ac − as)+ i)
WesternPacificWarmPool(6.6oN,100oE).ANN.
0 0.1 0.2 0.3 0.4
100
200
300
400
500
600
700
800
900
Cloud Fractions
[ fraction ]
[ hP
a ]
Cumulus
Stratus
0 0.1 0.2 0.3
100
200
300
400
500
600
700
800
900
In!Cloud LWC+IWC
[ g kg!1
]
[ hP
a ]
Cumulus
Stratus
0 0.5 1
100
200
300
400
500
600
700
800
900
Precipitation Areas
[ fraction ]
[ hP
a ]
Convective
Stratiform
Mixed
CAM4
0 0.2 0.4 0.6
100
200
300
400
500
600
700
800
900
Precipitation Fluxes
[ mm day!1
]
[ hP
a ]
Convective
Stratiform
Mixed
Total
0 0.1 0.2 0.3 0.4
100
200
300
400
500
600
700
800
900
Production of Precipitation
[ g kg!1
day!1
]
[ hP
a ]
Convective
Stratiform
Total
0 0.02 0.04 0.06
100
200
300
400
500
600
700
800
900
Evaporation of Precipitation
[ g kg!1
day!1
]
[ hP
a ]
Convective
Stratiform
Mixed
Total
ToostrongevaporaKoninCAM!
SUMMARY
I. ParameterizaKonofSymmetricTurbulence• DryTurbulenceScheme(CAM3PBL)
• MoistTurbulenceScheme(CAM4PBL)• TreatmentofelevatedsourceofTKEassociatedwithcloudsuccessfulsimulaKonofcloud‐toppedPBLaswellasdrystableanddryunstablePBL
II. CloudMacrophysics• NetCondensaKonRateofWaterVaporintoCloudLiquid(Q)
• BulkSaturaKonAdjustment• PDF‐BasedSaturaKonAdjustment
• CloudFracKon(a)• QuadraKcformulaofa(U)• a(U)fromthePDF‐basedapproach• ConsistencybetweencloudfracKonandin‐cloudLWC
• VerKcalOverlapofCloudFracKon• Unifiedcloudoverlappingschemeforsimultaneoustreatmentofcumulusandstratus
ResponseofMSCtoincreasingSST
RadiaOvecooling&Entrainmentdrying
LCL
SEL
ColdSST
ReducedradiaOvecooling&Enhancedentrainmentdrying
ElevatedSEL
TurbulenceSuppression(decoupling)
WarmSST
TransiKonofMBLfromwell‐mixedstratocumulustothedecoupledstate.
Deepening‐DecouplingandDissipaKonofStratocumulus
ColdSST WarmSST
Cumulusdevelops