huan guo (gfdl/ucar) double-gaussian distribution sub-grid parameterization based on probability...
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Huan Guo (GFDL/UCAR)
double-Gaussian distribution
Sub-grid Parameterization Based on Probability Density Functions in GFDL Atmospheric General Circulation
Model: Global Tests
Guo H., J.-C. Golaz, L. J. Donner, P. Ginoux, and R. S. Hemler, 2014: Multi-variate probability functions with dynamics in the GFDL atmospheric general circulation model: Global Tests. J. Climate, 27(5), 2087-2108, doi: 10.1175/JCLI-D-13-00347.1.
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outline
CLUBB: cloud layer unified by bi-normal
Motivation: strato-cumulus, aerosol effect
AM3-CLUBB: better strato-cu and aerosol
Summary: pros and cons of AM3-CLUBB
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negative strato-cumulus cloud forcing
Wood (MWR, 2012), Hahn &Warren (2007)
high cover & albedo strong negative cloud forcing
Hwang & Frierson (PNAS, 2013)
shortwave cloud forcingcloud cover
Insufficient data
(%)
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positive shortwave cloud forcing bias
low-bias in strato-cumulus
deficient strato-cumulus in GCMs(Hwang & Frierson, PNAS, 2013) CMIP5
GFDL AM2 GFDL AM3
(W/m2)
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outline
CLUBB (cloud layer unified by bi-normal): unified cloud and turbulence parameterization based on assumed sub-grid probability density function
Motivation
AM3-CLUBB global results
Summary
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why choose double-Gaussian
Variable skewness
Reasonable tails
Multi-dimensional
Analytical cloud properties
Agreement with observations
Golaz et al. (JAS, 2002)
Double-Gaussian is a linear combination of two Gaussians, and offers unified treatment for various cloud regimes:
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implementation of AM3-CLUBB
Donner et al. (J. Climate, 2011); Guo et al. (J. Climate, 2014)
AM3 AM3-CLUBB
Deep conv. Donner
Shallow conv. UW shallow
PBL Lock
Macro-physics Tiedtke
Micro-physics 1-moment Rotstayn-Klein
Donner
CLUBB
2-momentMorrison-Gettelman
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outline
CLUBB
Motivation
AM3-CLUBB global results: better strato-cu and aerosol simulation Summary
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Observation (CERES-EBAF)
AM3-CLUBB minus Obs. AM3 minus Obs.
1-degree AMIP simulations (1981-2000) shortwave
cloud forcing
(W/m2)
(W/m2)
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better strato-cumulus simulation
(W/m2)
AM3-CLUBB has smaller shortwave cloud forcing bias in strato-cumulus regions studied by Klein & Hartmann (J. Climate, 1993)
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11/16
better SW cloud forcing seasonal cycleS
WC
F (
W m
-2)
more realistic phase and amplitude in AM3-CLUBB
Obs. (CERES-EBAF)
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sharper inversion in AM3-CLUBB
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Longwave cloud forcing
AM3 minus Obs.
AM3-CLUBB minus Obs.
Observation
ice clouds underestimate
(W/m2)
(W/m2)
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precipitation AM3 AM3-CLUBB
excessive precipitation
surface precip. from deep convection (mm/day)60S 30S EQ 30N 60N
1234567 AM3-CLUBB
AM3
more deep convection in AM3-CLUBB
(mm/day)
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smaller bias in aerosol optical depth (AOD)
AM3 minus MISR Obs. AM3-CLUBB minus MISR Obs.
AM3-CLUBB
AM3
Observation (AERONET)
annual mean and seasonal cycles agree better with observations in AM3-CLUBB
monthly AOD (BeiJing)
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higher correlation with observation
aerosol optical depth (AOD) correlations with Aerosol Robotic Network (AERONET) are 0.8 in CLUBB, and only 0.56 in non-CLUBB.
relative difference: (model/AERONET-1)
Figure courtesy Paul Ginoux
CLUBB
non-CLUBB
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take-home message
deficient strato-cumulus (e.g, in GFDL AM2, AM3) longstanding issue in many GCMs:
AM3-CLUBB improves coastal strato-cumulus simulations, especially at 1-degree resolution or higher.
AM3-CLUBB issues and future work: more expensive computationally insufficient ice-phase cloud representations prognostic precipitation in microphysics
. . .
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Wood (MWR, 2012)
Strato-cumulus simulation is challenging
subtle balance among radiative cooling/heating, microphysics, entrainment, turbulence mixing, surface fluxes …
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AM3-CLUBB coupled run drifts
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20/16
Strato-Cu cloud thickness
Shallower strato-cu near California
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CLUBB in AM3: AM3-CLUBB flowchart
Close higher-order moments
buoyancy
Prognose u, v, qt,θl, u’2, v’2, w’2, qt’2, θl’2, qt’θl’, w’qt’, w’θl’, w’3
Select PDF
Diagnose CF, qc
from PDF
Input 2-moment
MG microphys.Δt
Golaz et al. (JAS, 2002a, 2002b); Guo et al. (J. Climate, 2014)
Activateaerosols
w’2