Preliminary Experiments with a Dynamics-Based PDF Parameterization for Boundary Layers and Associated Clouds in GCMs - PowerPoint PPT Presentation

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Preliminary Experiments with a Dynamics-Based PDF Parameterization for Boundary Layers and Associated Clouds in GCMs

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Title: Preliminary Experiments with a Dynamics-Based PDF Parameterization for Boundary Layers and Associated Clouds in GCMs


1
Preliminary Experiments with a Dynamics-Based PDF
Parameterization for Boundary Layers and
Associated Clouds in GCMs
  • Leo Donner, Huan Guo, and Chris Golaz
  • GFDL/NOAA, Princeton University

CFMIP/GCSS Workshop, Vancouver, 8 June 2009
2
Dynamics-Based PDFs for Cloud Parameterization
Motivation
  • Moisture-based PDFs are not linked to dynamics of
    cloud formation and dissipation.
  • Key microphysical processes like droplet
    activation are linked to vertical motions.
  • Aerosol-cloud interaction An example.

3
Observed dependence of cloud droplets on aerosols
Clean/Maritime
Polluted/Continental
Source Ramanathan et al. (Science, 2001)
4
Aerosols, CCN
Local Cooling, Vertical Velocity
Supersaturation
Droplet Activation
5
Linking Cloud Microphysics and Macrophysics
6
(No Transcript)
7
Linking Cloud Macrophysics and Microphysics in
Stratiform Clouds
8
cf., Ming et al. (J. Atmos. Sci., 2006)
9
12.9 km
updraft activation
LES by Chris Golaz
downdraft evaporation
10
Large-scale CCN activation
11
Dynamics-PDF Cloud Parameterization Overview
  • Based on Golaz et al. (2002, J. Atmos. Sci.)
    CLUBB (Cumulus Layers Unified by Bi-Normals)
  • Joint PDFs for vertical velocity, liquid
    potential temperature, and total water mixing
    ratio
  • Single-column model tests for BOMEX and DYCOMS-II
    field programs

12
Dynamics PDF Parameterization for Stratiform
Clouds and Turbulence
  • Fit liquid potential temperature, total water,
    vertical velocity PDFs for range of Cu and Sc
    PBLs to LES simulations
  • LES evaluated using GCSS WG 1 cases (ARM, ATEX,
    BOMEX, DYCOMS-II RF01 RF02, FIRE, RICO)
  • Prognostic equations for higher-order moments
  • Select PDFs based on evolution of higher-order
    moments
  • Extract cloud macrophysics (fraction, liquid
    content, etc.) from PDFs

13
Observed cumulus case from ASTEX
Aircraft transect through a cumulus layer during
ASTEX
14
Observed cumulus case from ASTEX
Joint distribution of qt and w
15
Observed cumulus case from ASTEX
16
Observed cumulus case from ASTEXExample of PDF
fits to the data
17
Building a PDF-based parameterization
1 - Prognose
3 - Close
2 - Select
Adapted from Golaz et al. 2002a,b (JAS)
18
AM3 uses Tiedtke (1993, Mon. Wea. Rev.)
19
AM3 uses Tiedkte (1993, Mon. Wea. Rev.)
20
Prediction of cloud drop numberPreliminary
results
- Added predictive equation for cloud drop
number activation, evaporation and turbulence
transport. - Uniform background aerosol mass
concentration.
BOMEX
DYCOMS-II RF01
21
Summary
  • Most current state-of-science cloud
    parameterizations built around moisture PDFs.
  • Cloud microphysical processes see dynamics,
    suggesting next-generation cloud
    parameterizations should also include dynamics
    PDFs.
  • Cloud macrophysics and microphysics have been
    simulated using proto-application with dynamics
    PDFs.
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