Impact of the Large-Scale Environment on Stratocumulus Clouds - PowerPoint PPT Presentation

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Impact of the Large-Scale Environment on Stratocumulus Clouds

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A comparison with similar results for South American orography ... Impact on global radiation budget is significant (e.g. Slingo 1990, Hartmann et al. 1992) ... – PowerPoint PPT presentation

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Title: Impact of the Large-Scale Environment on Stratocumulus Clouds


1
Update on stratocumulus simulations by the UCLA
AGCM
  • C. R. Mechoso, I. Richter, G. Cazes, and R. Terra
  • University of California, Los Angeles
  • OUTLINE
  • Sensitivity of Sc incidence to African orography
  • A comparison with similar results for South
    American orography
  • Aspects of PBL parameterization in AGCMs
  • Work in progress
  • Mechoso, C. R., J. -Y. Yu and A. Arakawa, 2000
    A coupled GCM pilgrimage From climate
    catastrophe to ENSO simulations. General
    Circulation Model Development Past, Present and
    Future. D. A. Randall Ed., Academic Press, 539-575

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Why Stratocumulus Matter
  • Stratocumulus cover a large portion of the
    worlds oceans
  • Impact on global radiation budget is significant
    (e.g. Slingo 1990, Hartmann et al. 1992)
  • Climate of tropical regions strongly depends on
    subtropical marine stratocumulus position of the
    ITCZ, SST gradients (e.g. Philander et al. 1996,
    Ma et al. 1996)
  • AGCMs difficulties with stratocumulus lead to
  • ? large uncertainties in global warming
    estimates
  • ? severe problems in coupled GCMs (double ITCZ,
    warm SST bias, weakened trade winds etc.)

4
Overall Goal of this Study
  • Increase understanding of the interplay between
    the large-scale environment and subtropical
    marine boundary layer clouds concerning their
    seasonal cycle in different regions of the world
    oceans.
  • A first stage of the study focuses on the role
    that orography plays on the flow over the eastern
    tropical oceans.

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Seasonal Cycle of Stratocumulus
  • Surface observations of the five major marine
    stratocumulus regions (from Klein and Hartmann,
    1993)

Peruvian and Namibian stratus peak in October
7
Model Description
  • UCLA AGCM, version 7.1
  • Resolution 2.5ºlon x 2ºlat x 29 ? levels
  • Harshvardhan (1987) radiation scheme
  • Prognostic version (Pan and Randall 1998) of the
    Arakawa-Schubert (1974) cumulus parameterization
  • Mixed-layer PBL parameterization based on
    Deardorff (1972), as designed by (Suarez et al.
    1983) and revised by Li et al. (1999, 2002). The
    PBL top is a coordinate surface a cloudy
    sublayer develops is this top is above
    condensation level.
  • Climatological monthly-mean SSTs prescribed

8
Experiment Design
  • Test the impact of orography on stratocumulus by
    using the UCLA AGCM
  • Contrast pairs of simulations
  • Control realistic orography everywhere
  • No-Orography orographic surface heights set to
    sea-level over the African (South American)
    continent
  • Control is 20-year long. No-Orography runs are
    3-year long.

9
African Orography
Contour Interval 500m
10
Stratocumulus Incidence in Control
AGCM v7.1 2.5x2x29L
11
Verification using NCEP Reanalysis
Control
NCEP
Contour Int. 2 K
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Impact on TOA Radiative Budget August
CI 20 W/m2
SW LW ? positive
14
Annual Cycle in the Namibian Stratus Region
Stratocumulus Incidence
Lower Tropospheric Stability K
15
Longitude-Height Section of TemperatureDifference
Control - No-OrographyAverage 20S-10S
Pressure mb
Longitude
Contour Int. 1K
16
Thermodynamic Energy Equation
1
2
3
4
  • 1 Temperature Tendency
  • 2 Diabatic Effects
  • 3 Vertical Advection
  • 4 Horizontal Advection

17
Calculation of terms in the thermodynamic equation
  • Monthly accumulated value of diabatic effects is
    provided by the model.
  • Monthly temperature tendency is provided by the
    instantaneous model output.
  • Horizontal advection is computed off-line from
    monthly-mean model output.
  • Vertical advection is obtained as a residual.

18
Horizontal Temperature Advection at 700 mbAugust
Control
Difference
NAfO
Contour Interval 0.5 K/day
19
Annual Cycle of Thermodynamic Balance Terms700
mb Level
NAfO
Diabatic Heating
Control
Vertical Advection
Horizontal Advection
20
Anti-Cyclonic CirculationWind and Temperature at
700 mb, August
Control
Difference
NAfO
Contour Interval 0.5 K
Contour Interval 2 K
21
Difference Control minus NAfO900 mb
Contour Interval 1 K
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Thermodynamic Balance TermsPeruvian Stratus
Region
Control
Diabatic Heating
NSAO
Vertical Advection
Horizontal Advection
25
Linear vs. Non-Linear Mountain Effect(after
Rodwell and Hoskins 2001)
  • Linear Response
  • Anti-cyclone over the
  • mountain

Non-Linear Response Anti-cyclones to the west
and east of the mountain
26
Orographic Effects on Marine Stratocumulus
  • Peruvian case (nonlinear)
  • West of the Andes, conservation of potential
    vorticity for parcels descending equatorwards
    along the isentropes results in increased static
    stability at lower levels.
  • Namibian case (linear)
  • West of the African mountains, warm air advected
    polewards results in increased static stability
    at lower levels. The warm advection is a
    component of the anti-cyclonic circulation
    centered above the mountains.
  • In both cases, mountains contribute to cold
    advection near the surface of the ocean.

27
Seasonal Cycle of Stratus
  • California stratocumulus peak in the northern
    summer, under the subsidence associated with the
    North American monsoon
  • Peruvian and Namibian stratocumulus have broad
    peaks in the austral spring.
  • Continental orography seems to contribute to the
    early start by increasing the temperature in the
    lower troposphere.
  • Continental orography also seems to contribute to
    the late end by advection of cold air near the
    surface.
  • Convection over the adjacent continents appears
    to play a minor role

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Annual Cycle of Simulated Stratocumulus (after
AGCM revisions)
3/19/04
37
Work in Progress
  • Explore role of convection over continents on
    marine stratocumulus i.e., by modifying
    continental convection through surface boundary
    conditions on land surfaces.
  • Assess the sensitivity of AGCM simulations to
    different, yet realistic, orographic
    distributions.
  • Explore these sensitivities in the context of the
    coupled atmosphere-ocean system.
  • Explore these sensitivities in the context of the
    PBL parameterization of PBL clouds.
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