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IACETH
Inst
itute
for
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osp
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an
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limat
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Boundary Layer parametrisation in the climate model ECHAM5-HAM
Colombe Siegenthaler - Le Drian, Peter Spichtinger, Ulrike Lohmann
CFMIP/GCSS Boundary Layer WG Workshop, 8th-12th June, 2009
IACETH
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Improve the representation of the boundary layer in order to study the interaction aerosols – clouds and its impact on the future climate in the GCM ECHAM5-HAM
Aim:
Introduction
ECHAM today – problems - solution
diffusion on moist conserved variables
explicit entrainment parametrisation
IACETH
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ceLES study
A. Ackermann et al., 2004, ‘The impact of humidity above stratiform clouds on indirect aerosol climate forcing’, Nature)
N
drizzle
N
drizzle
LWP
Sensitivity of LWP with CCN related with the entrainment rate, and relative humidity above the cloud
IACETH
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osp
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ceECHAM5-HAM : Standard
• T63 x L31, Δt = 15 min
• TKE model with prognostic TKE
• Turbulent diffusion on non-conserved variables
• Statistical cloud cover scheme (Tompkins, 2002)
• 2 moment cloud microphysical scheme coupled with double moment aerosol scheme (Lohmann, 2008)
• Moist Richardson number, modified Blackadar mixing length (Brinkop, 1995)
IACETH
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ceDiffusion on conserved variables
Standard version Diffusion on moist conserved variables
ql
ql
qv q
t
IACETH
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qt , q
c , cc , ...
_ __
qt PDF
a b
Grid box variables
qsat
(T)
baba
Variance threshold : C
liquid
vapo
ur corresponds
does not correspond
< C = C
C : “tuning parameter” standard version : 10 %
moist version : 0.1 %
Retrieve the condensate from the PDF Statistical cloud scheme (Tompkins, 2002)
IACETH
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ceTotal cloud cover
standard (C =10 %) reduced minimal width PDF (RED) , C =0.1 %
cloud cover [%]
ISCCP
IACETH
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ceTotal cloud cover - C = 0.1 %
reduced minimal width PDF (RED)
difference CMO-RED
cloud cover [%]
diffusion on moist conserved variable (CMO)
difference cloud cover [%]
IACETH
Inst
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osp
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d C
limat
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ceTKE scheme robust on resolution ?
very high resolution (LES) SCM resolution L31
3 hours simulation of a nocturnal Stratocumulus, idealisation based on ASTEX campaign
In the low resolution experiment, the structure of the TKE is not well represented, particularly at the cloud top
Lenderink et al.,1999,‘Evaluation of the Kinetic Energy Approach for modeling turbulent fluxes in stratocumulus’)
TKE
[m2s-2]
In ECHAM5
IACETH
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low tropospheric stability ( ) >
Criterion for onset explicit entrainmentS. Klein & D. Harmann, 1993, J. Climate)
explicit entrainment if:
cloud is present
positive subsidence region
cloud top below 700hPa
15 K
20 K
=
frequency of occurrence of the onset criterion over one year [%]:
IACETH
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ceMean fluxes above cloud/clear sky
ω'χ' ___
cω'χ' ___
d
• buoyancy flux:
11
IACETH
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ceEntrainment parametrisation
Replace at the top of the boundary layer (i=interface)
Turton and Nicholls (1987) entrainment parametrisation:
Buoyancy production into the TKE equation :
12
IACETH
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ce Resulting profiles - SCM
SCM version of ECHAM5, averaged over 1 hour of simulations for the ASTEX case
13
IACETH
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ceEffect of entrainment on LWP, SCM
First results with NT87 entrainment
parametrisation promising!
Same figure as Ackermann (2004), but with SCM version of ECHAM5, averaged over 1 hour of simulations for the ASTEX case
IACETH
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ceDiurnal cycle, SCM
Dec06/nbhbv1Dec06/nbhbv1Dec06/nbhbv1
,
we NT
Local Time Local TimeLocal Time
STD
CMO
TKE [m/s] Cloud cover [%] Cloud liquid [kg/kg¨]
IACETH
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ceOutlook
Turbulent diffusion done on moist conserved variables.
Turton and Nicholls (1987) explicit entrainment rate has been implemented only over cloudy grid box, we first observe a reduction of the LWP in SCM study.
With a reduction of the minimal width of the PDF, the turbulent diffusion on moist variables shows an improvement in Scu regions.
Diurnal cycle of and structure of TKE and cloud cover better represented in a SCM study because of the addition and competition of LW radiative cooling and entrainment in the buoyancy flux in SCM study.
Our TKE model with coarse resolution do not represent entrainment satisfactory
IACETH
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ceCross-section-Very Preliminary results
CMO we NT
Cloud cover [%], JJA 2000
Radiative cooling contribution in TKE only when explicit entrainment active
Radiative cooling contribution in TKE once a cloud is present
we NT
IACETH
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ceLES study
I. Sandu et al., 2008, ‘Aerosol Impacts on the Diurnal Cycle of Marine Stratocumulus’, AMS)
Sensitivity of LWP with CCN related to the
decoupling induced by the interaction between drizzle inhibition-SW
warming-reduced sensible heat flux and
entrainment rate
IACETH
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Now in ECHAM (without entrainment parametrisation)
In nature
LWPLWP
Number of aerosols
drizzle drizzle , entrainment ( )
144
U. Lohmann, 2007, ACP
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ceMesured entrainments
The actual scheme produce equivalent entrainment rates 3 orders of magnitude too small
Caldwell et al., 2005,” Mixed-Layer Budget Analysis of the Diurnal Cycle of Entrainment inSoutheast Pacific Stratocumulus”, J. Atm. Sci.
~ 10-3 [ms-1]
IACETH
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ceEntrainment parametrisation -
future improvements Replace at the top of the boundary layer (i=interface)
Several entrainment parametrisations form:
Turton & Nicholls (1987)
Adaptation of Bretherton (2007)
Lock (1998)
IACETH
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ceIn ECHAM5...
144
(MODIS)
U. Lohmann, 2007, ‘Global anthropogenic aerosol effects on convective clouds in ECHAM5-HAM’,ACP)
Too strong sensitivity of the increasing LWP with increasing AOD
IACETH
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ceEddy diffusivities – standard/equivalent
Version with entrainment :
IACETH
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ceWhat does ECHAM do?
The stratocumulus are not well resolved in ECHAM
U. Lohmann, 2007, ‘Global anthropogenic aerosol effects on convective clouds in ECHAM5-HAM’,ACPD)
ECHAM5-strat ECHAM5-conv ECHAM5-apc
ISCCP
surf. obs.
(zonal mean)
IACETH
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ceDiffusion on conserved variables - 3D
Sundqvist scheme
Difference of annual mean total cloud cover (MOIST-REF)[%]
IACETH
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ceTKE scheme.....
1.5 order closure introduction of a TKE equation
m states for momentum, h for heat
: turbulent kinetic energy (TKE)
: mixing length, depends on the stability, vertical position
~“ measure of the average distance a parcel moves in the mixing process that generates flux”
computed prognostically for each time step (conservation equation)
IACETH
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ceVertical cloud cover
vertical cloud cover (%) averaged over jja
Method seems to find clouds in the good locations
even without perfect profiles