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Olivier GeoffroyOlivier Geoffroy
Parameterization of precipitation in boundary layer clouds at the cloud system
scale
Pier Siebesma, Roel Neggers
RK science lunch, 05/10/2010
Microphysical processes
w
CCN : D ~ 0.01-10 µm
D40 µm
n(D)
Cloud droplets : ~ 1 µm < D < ~ 40 µm
CCN Activation
Microphysical processes
Condensation
w
CCN : D ~ 0.01-10 µm
D40 µm
D40 µm
n(D)
n(D)
Ddt
dD 1
Cloud droplets : ~ 1 µm < D < ~ 40 µm
CCN Activation
Microphysical processes
Condensation
w
CCN : D ~ 0.01-10 µm
D40 µm
D40 µm
n(D)
n(D)
Ddt
dD 1
Cloud droplets : ~ 1 µm < D < ~ 40 µm
CCN Activation
Mixing
D40 µm
n(D)
Microphysical processes
Condensation
w
CCN : D ~ 0.01-10 µm
D40 µm
D40 µm
n(D)
n(D)
Ddt
dD 1
Cloud droplets : ~ 1 µm < D < ~ 40 µm
CCN Activation
Cloud droplet sedimentation
Mixing
D40 µm
n(D)
Microphysical processes
Cloud droplets : ~ 1 µm < D < ~ 40 µm
Condensation
w
precipitation embryo D ~ 40 µm
Cloud droplet sedimentation
CCN : D ~ 0.01-10 µm
D40 µm
D40 µm
n(D)
n(D)
Ddt
dD 1
Collection
D40 µm
n(D) ECS
CCN Activation
Collection : Efficient for D > 40 µm (Bartlett, 1970)
Mixing
D40 µm
n(D)
Microphysical processes
Cloud droplets : ~ 1 µm < D < ~ 40 µm
Condensation
precipitation embryo D ~ 40 µm
Cloud droplet sedimentation
CCN : D ~ 0.01-10 µm
D40 µm
D40 µm
n(D)
n(D)
Ddt
dD 1
Collection
D40 µm
n(D) ECS
CCN Activation
Collection : Efficient for D > 40 µm (Bartlett, 1970)
Mixing
D40 µm
n(D)
Polluted cloudw
precipitation efficiency (?)
LWP (? (feedbacks))
(2nd aerosol indirect effect)
Microphysical processes
Condensation
w
CCN : D ~ 0.01-10 µm
D40 µm
D40 µm
n(D)
n(D)
Ddt
dD 1
Cloud droplets : ~ 1 µm < D < ~ 40 µm
CCN Activation
Cloud droplet sedimentation
Mixing
D40 µm
n(D)
Marine cloud
Microphysical processes
Cloud droplets : ~ 1 µm < D < ~ 40 µm
Condensation
w
precipitation embryo D ~ 40 µm
Cloud droplet sedimentation
CCN : D ~ 0.01-10 µm
D40 µm
D40 µm
n(D)
n(D)
Ddt
dD 1
Collection
D40 µm
n(D) ECS
CCN Activation
Collection : Efficient for D > 40 µm (Bartlett, 1970)
Mixing
D40 µm
n(D)
Microphysical processes
Condensation
w
Cloud droplet sedimentation
CCN : D ~ 0.01-10 µm
D40 µm
D40 µm
n(D)
n(D)
Ddt
dD 1
Collection
D40 µm
n(D) ECS
Rain drops ~ 40 µm <D < 100-500 µm
Cloud droplets : ~ 1 µm < D < ~ 40 µm
precipitation embryo D ~ 40 µm
CCN Activation
Mixing
D40 µm
n(D)
Growth depends on the available amount of water i.e. H or LWP
Microphysical processes
Condensation
w
Rain drops ~ 40 µm <D < 100-500 µm
Cloud droplet sedimentation
CCN : D ~ 0.01-10 µm
D40 µm
D40 µm
n(D)
n(D)
Ddt
dD 1
Mixing
D40 µm
n(D)
Collection
D40 µm
n(D) ECS
Cloud droplets : ~ 1 µm < D < ~ 40 µm
precipitation embryo D ~ 40 µm
CCN Activation
Rain sedimentation
Microphysical processes
Condensation
Rain drops ~ 40 µm <D < 100-500 µm
Cloud droplet sedimentation
CCN : D ~ 0.01-10 µm
D40 µm
D40 µm
n(D)
n(D)
Ddt
dD 1
Mixing
D40 µm
n(D)
Collection
D40 µm
n(D) ECS
Cloud droplets : ~ 1 µm < D < ~ 40 µm
precipitation embryo D ~ 40 µm
CCN Activation
Rain sedimentation size sorting
Rain evaporation
Microphysical processes
Condensation
Rain drops ~ 40 µm <D < 100-500 µm
Cloud droplet sedimentation
CCN : D ~ 0.01-10 µm
D40 µm
D40 µm
n(D)
n(D)
Ddt
dD 1
Mixing
D40 µm
n(D)
Collection
D40 µm
n(D) ECS
Cloud droplets : ~ 1 µm < D < ~ 40 µm
precipitation embryo D ~ 40 µm
CCN Activation
Rain sedimentation size sorting
Rain evaporation
Microphysical processes
Condensation
Rain drops ~ 40 µm <D < 100-500 µm
Cloud droplet sedimentation
CCN : D ~ 0.01-10 µm
D40 µm
D40 µm
n(D)
n(D)
Ddt
dD 1
Mixing
D40 µm
n(D)
Rain sedimentation size sorting
Collection
D40 µm
n(D) ECS
Cloud droplets : ~ 1 µm < D < ~ 40 µm
precipitation embryo D ~ 40 µm
CCN Activation
Rain evaporation
Objective
- Development of a precipitation scheme for boundary layer clouds at the GCM scale
Precipitation in a key process in BLC evolution. Low cloud regimes and transitions between regimes Earth radiation budget, general circulation, hydrological cycle.
Quantification of the aerosol indirect effect.
explicit or bin
D
n(D)
Bulk
Cloudrain
D
D0
n(D)
Autoconversion
AccretionSelf-collection Self-collection
2 bins 4 collection processes
Collection processes :Stochastic Collection Equation (SCE)
LES collection schemes
Cloud
rain
Cloud :qc (g kg-1)
Nc (cm-3)
Rain :qr (g kg-1)
Nr (cm-3)
Measured spectra
D0 ~ 40 - 100 µm
D0
Cloud
rain
D (μm)
Autoconversion
Cloud :qc (g kg-1)
Nc (cm-3)
Rain :qr (g kg-1)
Nr (cm-3)
Precipitation formation, autoconversion rate
TresholdNqfkt
qccautoauto
r )()(
Khairoutdinov and Kogan (2000)
2.47 -1.79
Beheng (1994)4.7 -3.3Seifert and Beheng (2001)
4 -2
Tripoli and Cotton (2000)
2.33 -0.33
α β
Kessler (1969)1
Treshold
H(qc-qtreshold)
Sundqvist (1978)1
Liu and Daum (2006)2.33 -0.33
2)exp(1treshold
c
q
q
H(r6-rtreshold)
H(rv-rvtreshold)
Naerosol
Highly non linear
0
0
1
1
1
Auto rate
qc
Aerosol indirect effect dependance in Nc necessary
Nc
Nc
Accretion
rcaccraccrr qqkt
q
)(
Depends on local values
Autoconversion / accretion rates mean profiles (12H) in cumulus
Only in cloud core
- Formation of precipitation in cloud core-Accretion = ~ 10 x autoconversion
-Simulations show larger accretion rate for wup-vqr > 0(drops go upward)
Only in cloud core
auto accr
wup-vqr > 0
wup-vqr < 0
vqr
wup
accr
))exp(1(0015.0)( 2
treshold
ccauto
r
q
t
q
Autoconversion:
Frac=cste
0 overlap, Sundqvist (1978) scheme
w=wup(k-1)
qc=lup(k)
1
)(
)()(
kauto
rc
cupauto
qauto
c
w
z
t
z
qw
z
F
t
qc
=cste?
New scheme
bc
acauto
c Nkqt
q
)(
Autoconversion:
Frac=cste
w=wup(k-1)
qc=lup(k)
cupqr qwF
New scheme, accretion regimeAccretion:
Frac=cste
rccollqr
ser
accrr
qqkz
Ft
q
t
q
0)()( dim
7.004.0 qrr Fq
(From RICO in situ measurements)
3.0/13.01 ))(( kck FzkqF
autoF
New scheme, overlap
Frac=cste
k+1
k
))/hz-(z-(1 oktopk
zk
ho
kkkclear 1
ztop
3.0/13.01 ))(( kckk FzkqF
?
Autoconversion formulation
paramr
t
q)(
coreautor
t
q
)(
(kg kg-1 s-1)
(kg kg-1 s-1)
LES simulations (12H)- RICO, moister RICO - Nc= 40, 50, 70, 100, 200 cm-3
- Seifert and Beheng (2006) scheme:
Identification of individual clouds and average clouds
of same height
coreautor
t
q
)(
corecq
power law hypothesis:
c
coreccoreauto
c
N
qa
t
q
)(
0027.0
44.2
56.3
a
& regression
autoLES = f(autoparam)
1/1 line
))1(
)(1(~)(
22
42006
c
cSBc
N
q
t
qauto
37.07.0 )1(~)(
Horizontal mean values of:
rc
c
q
1
SCM results
LWP, rain flux at surface, Nc=50, 70, 100, 200 cm-3
50 cm-3
70 cm-3
200 cm-3
No rain
100 cm-3
LWP:
precipitation at surface:
60 g m-2
= 25 Wm-2 ~ 0.4 mm h-1 ~ 10 mm j-1 50 cm-3
70 cm-3 100 cm-3
200 cm-3
rain flux profilesNc=50, 200 cm-3
Nc = 50 cm-3
Nc = 200 cm-3
Autoconversion time scale
w=5ms-1
w=1ms-1
w=wup
w
z
t
z
qw
z
F
t
q
autor
c
cupauto
qauto
c c
)(
)()(
w=5ms-1w=1ms-1
w=wup
Sensitivity to the overlap
h0=1000
h0=600
h0=300LWPNc = 50 cm-3
h0=300
h0=600
h0=1000
- Developpment and implementation of a precipitation scheme in ECMWF SCM model coupled with the DualM scheme.- Possibility to take in account the shear effect- Possible to take in account interaction between precipitation flux and the stratiform component of the cloud (for Sc).
- Dependency in NCCN
Test of the scheme using the KPT and half a year of precipitation flux and CCN concentration measurements:
Conclusion and perpective
North North SeaSea
originsorigins
Dust Dust episodeepisode
CCN concentration at Cabauw during IMPACT (May 2008)
Regional backgroundRegional background Regional Regional backgroundbackground
Sundqvist no evap SB, no evap, Nc 70
lwp
lwp
Rsurf
Rsurf
Sundqvist no evap SB, no evap, Nc 50
lwp
lwp
Rsurf
Rsurf
SB, evap2, Nc 70
lwp
RsurfRsurf
SB, evap2, Nc 200
lwp
Rsurf
h0=300, 500, 800, 1500, SB, Nc 50, evap2
lwp lwp
lwp
lwp
h0 300 m h0 500 m
h0 800 m h0 1500 m
SB, Nc 50, original evap
lwp
auto2, Nc 50, original evap
auto2, Nc 50, evap2
SB, evap2, Nc 50
lwp
Rsurf
Nc 50 cm-3 Nc 70 cm-3
Nc 200 cm-3
lwp lwp
lwp
auto 2 (a=2.74, b=-1.35)
Param accr up + auto w0=5 ms-1
10e-6
aqr=1.85 bNc=1.17
Param accr up + auto w0=5 ms-1
2.5e-6
LWP, rain flux at surface, Nc=50, 70, 100, 200 cm-3
50 cm-3
70 cm-3
200 cm-3
No rain
100 cm-3
LWP:
precipitation at surface:
60 g m-2
= 25 Wm-2 ~ 0.4 mm h-1 ~ 10 mm j-1 50 cm-3
70 cm-3 100 cm-3
200 cm-3
5 Wm-2
Steady state:
accrautoz
qrwv
z
F
sedaccrauto
upqrqr
)(
0
wup-vqr < 0 wup-vqr > 0