Aerosol Effects on Dynamics, Microphysics and ... · Aerosol Effects on Dynamics, Microphysics and...

59
Aerosol Effects on Dynamics, Microphysics and Precipitation of Clouds and Cloud Systems: Physical Mechanisms and Classification Alexander Khain The Hebrew University of Jerusalem, Israel Atmospheric System Research March, 2010

Transcript of Aerosol Effects on Dynamics, Microphysics and ... · Aerosol Effects on Dynamics, Microphysics and...

Page 1: Aerosol Effects on Dynamics, Microphysics and ... · Aerosol Effects on Dynamics, Microphysics and Precipitation of Clouds and Cloud Systems: Physical Mechanisms and Classification.

Aerosol Effects on Dynamics, Microphysics and Precipitation of Clouds and Cloud Systems: Physical Mechanisms and

ClassificationAlexander Khain

The Hebrew University of Jerusalem, Israel

Atmospheric System Research March, 2010

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10-5

0.0001

0.001

0.01

0.1

1

0 10 20 30 40 50

DSD20021005_2 195200Z 1597m195506Z 1890m195930Z 2338m200551Z 2781m201401Z 2980m202142Z 3640m202635Z 4403m

LWC

[g m

-3 µ

m-1

]

Drop diameter [µm]

Warm rain evolution over the western tip of the Amazon, afternoon.

10-5

0.0001

0.001

0.01

0.1

1

0 10 20 30 40 50

DSD20021004_H1

151510Z 1731m

151819Z 1899m

152211Z 2150m

152650Z 3069m

153101Z 3635m

153544Z 4265m

LWC

[g m

-3 µ

m-1

]

Drop diameter [µm]

Smoky conditionsNorth of JPR, Noon.

10-5

0.0001

0.001

0.01

0.1

1

0 10 20 30 40 50

190958Z 2300m Ash190840Z 2167m Pyro191405Z 2341m Pyro191950Z 2648m Pyro193318Z 2842m Pyro193724Z 3162m Pyro194018Z 3419m Pyro191049Z 4165m Pyro191818Z 4341m Pyro191926Z 4354m Pyro Dark!

LWC

[g m

-3 µ

m-1

]

Drop diameter [µm]

DSD with height in Pyro cumulus2002 10 01 < 4000 m2002 10 04 > 4000 m

Droplet size distributions in growing cumulus clouds (LBA-SMOCC campaign 2002)

(Andreae et al 2004-Science)

Warm rain evolution over the western tip of the Amazon, afternoon

Smoky conditions North of JPR, NoonDSD with height in Pyro comulus

mdiameterDrop µ, mdiameterDrop µ, mdiameterDrop µ,

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a

3cm−

Intermediate CCN concentration

High CCN concentration

Reff (z) Amazon region, LBA-SMOCC 2002

b

Low CCN concentration

Freud et al 2007, Khain et al 2010

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SIZE DISTRIBUTIONS IN DEEP CONVECTIVE CLOUD OVER INDIA DURING MONSOON PERIOD (24 Aug 2009)

CCN CONCENTRATION (at 1% S) =10000 cm-3 (!!!)

Cloud base: 800 mMaximum CWC 5 g/m3

First raindrops at z=5.5 km (!)

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Aerosols inhibit precipitation:Kaufman and Nakajima 1993;

Borys et al, 1998; 2000;

Rosenfeld and Lensky 1998;

Rosenfeld 1999, 2000;

Givati and Rosenfeld 2004

Tao et al (1995), Ferrier et al (1996

Khain et al, 2001;

Khain and Pokrovsky (2004);

Khain et al (2004a,b)

Axel et al (2004);

Tao et al (2004)

Teller and Levin(2006)

Margaritz et al (2007)

Lynn et al (2006)Lin et al (2006)

Jirak and Cotton (2006)

Tao et al (2007)

Khain and Lynn (2007)

Fan et al (2010)

Storer wt al (2010)

Aerosols can increase precipitation:

Ohashi and Kida 2002

Shepherd and Burian 2003

Amiranashvili et al 2004

Filho et al (2004)

Khain et al (2004a,b)

Khain et al (2005-QJRMS)

Axel et al (2004);

Axel and Beheng (2004)

Tao et al (2004, 2007)

Van den Heever et al (2004)

Lynn et al (2005a,b)

Wang (2005)

Lynn et al (2006)

Khain et al (2005, 2006, 2007)

Khain and Pokrovsky (2006)

Tao et al (2007)

Khain and Lynn (2007)

Li et al 2006

Lee et al 2005, 2008

Aerosol effects on precipitation

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Precipitation

GAIN(condensation+

ice deposition)

Precip = - LOSS(evaporation+

ice sublimation)

Precipitation is often a small difference of large values

Aerosols affect both generation and loss of hydrometeor mass

∆ GAIN∆ Precip = - ∆ LOSS

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Heat budget in green-ocean (clean) clouds over Amazon as simulated using

the Hebrew University cloud model (HUCM), Khain et al, JAS 2008)

GAINLOSS

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CONVECTIVE INVOGORATION

LOW CCN concentration HIGH CCN concentration

Khain et al 2008, JAS

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CONVECTION INVIGORATION

Low CCN concentration High CCN concentration

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High CCN Concentration

Low CCN Concentration

TURBULENT STRUCTURE OF POLLUTED AND CLEAN CONVECTIVE CLOUDS

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∆ L

OS

S

∆ GAIN>∆ LOSSIncrease in precipitation with increase in aerosol

concentration

∆ Gain, CONDENSATE

∆LOSS>∆GAINDecrease in precipitation with increase in aerosol

concentration

Possible scenarios of aerosol effects on precipitation

??

??

A

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SINGLE CLOUDS

CLOUD ENSEMBBLES

TROPICAL CYCLONES

Stratocumulus

Warm cumulus

Deep mixed-phase cumulus

clouds

Squall lines

Super cell storms

Tropical depressions

Landfalling hurricanes

Aerosols affect microphysics and dynamics of clouds and cloud systemsbut possibly via different physical mechanisms

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SINGLE CLOUDS

Main environmental factors:

Air humidity Wind shear

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Heating in polluted clouds is larger

Cooling in polluted clouds is larger

Net effect: heating (=precipitation) is larger in

clean air cloud

Smoky and Green-Ocean Clouds (SMOCC campaign), t=240 min

Comparatively dry airKhain et al 2008, JAS

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AIncrease in the condensate generation, ∆G

Incr

ease

in th

e co

nden

sate

loss

, ∆L

Scenario 1:

Decrease in precipitation

Scenario 2:

Increase in precipitation

AIncrease in the condensate generation, ∆G

Incr

ease

in th

e co

nden

sate

loss

, ∆L

Scenario 1:

Decrease in precipitation

Scenario 2:

Increase in precipitation

cumulus clouds in relatively dry environment

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Hei

ght,

km

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polluted

clean

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AIncrease in the condensate generation, ∆G

Incr

ease

in th

e co

nden

sate

loss

, ∆L

Scenario 1:

Decrease in precipitation

Scenario 2:

Increase in precipitation

AIncrease in the condensate generation, ∆G

Incr

ease

in th

e co

nden

sate

loss

, ∆L

Scenario 1:

Decrease in precipitation

Scenario 2:

Increase in precipitation

Single cumulus clouds in relatively dry environment

Deep maritime tropical cumulus clouds (wet environment)

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Stratocumulus and small cumulus clouds

∆Loss>∆Gain

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0 0.05 0.1 0.15 0.2 0.25 0.30

100

200

300

400

500

600

700

800

Average profiles

heigh

t, m

Rain flux,mm/h

0 0.05 0.1 0.15 0.2 0.25 0.3

0

100

200

300

400

500

600

700

800

Average profiles

heigh

t, m

Rain flux,mm/h

Higher concentration of aerosols (x3)Vertical profiles of rain flux (drizzle)

150 min

130 min

120 min

Increased (x3) concentration of aerosolsSimulation of flight 2, DYCOMS-II ,

~200 CCN cm-3

No drizzle

Pinsky, Khain and Magaritz (2007)

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AIncrease in the condensate generation, ∆G

Incr

ease

in th

e co

nden

sate

loss

, ∆L

Scenario 1:

Decrease in precipitation

Scenario 2:

Increase in precipitation

AIncrease in the condensate generation, ∆G

Incr

ease

in th

e co

nden

sate

loss

, ∆L

Scenario 1:

Decrease in precipitation

Scenario 2:

Increase in precipitation

Stratocumulus and small cumulus clouds

cumulus clouds in relatively dry environment

Deep maritime tropical cumulus clouds (wet environment)

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Orographic clouds

∆ Loss>∆ Gain

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Dry air,

ice sublimation (large loss of precipitation)

Warm rain graupel ice crystals, snow

ice crystals, snow

Aerosol effects on precipitation from orographic clouds

Low aerosol concentration

Large aerosol concentration

Small loss

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MM5 model with spectral (bin) microphysicsKhain et al 2007

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Accumulated rain in Control simulations, t=3hAccumulated rain calculated using 2D WRF model with SBM

(Lynn et al 2007)

Low AP concentration

Large AP concentration

Net decrease in precipitation by 30%

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Rainfall trends in California (Left) and Israel (Right) down wind of urban pollution (Givati and Rosenfeld, 2004):

years years

OBSERVATIONS

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AIncrease in the condensate generation, ∆G

Incr

ease

in th

e co

nden

sate

loss

, ∆L

Scenario 1:

Decrease in precipitation

Scenario 2:

Increase in precipitation

AIncrease in the condensate generation, ∆G

Incr

ease

in th

e co

nden

sate

loss

, ∆L

Scenario 1:

Decrease in precipitation

Scenario 2:

Increase in precipitation

Stratocumulus and small cumulus clouds

cumulus clouds in relatively dry environment

Deep maritime tropical cumulus clouds (wet environment)

Orographic clouds in relatively dry environment

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AIncrease in the condensate generation, ∆G

Incr

ease

in th

e co

nden

sate

loss

, ∆L

Scenario 1:

Decrease in precipitation

Scenario 2:

Increase in precipitation

AIncrease in the condensate generation, ∆G

Incr

ease

in th

e co

nden

sate

loss

, ∆L

Scenario 1:

Decrease in precipitation

Scenario 2:

Increase in precipitation

Stratocumulus and small cumulus clouds

cumulus clouds in relatively dry environment

Deep maritime tropical cumulus clouds (wet environment)

Orographic clouds in relatively dry environment

Orographic clouds in humid environment

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AEROSOL EFFECTS IN SINGLE CLOUDS UNDER DIFFERENT WIND SHEARS

Low precip loss High precip loss

Increase in AP concentration in clouds with strong wind shear increases precipitation loss- decrease in precipitation

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Jiwen Fan et al 2009

Dramatic decrease in precipitation with increase in aerosol concentration in cases of strong wind shear

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AIncrease in the condensate generation, ∆G

Incr

ease

in th

e co

nden

sate

loss

, ∆L

Scenario 1:

Decrease in precipitation

Scenario 2:

Increase in precipitation

AIncrease in the condensate generation, ∆G

Incr

ease

in th

e co

nden

sate

loss

, ∆L

Scenario 1:

Decrease in precipitation

Scenario 2:

Increase in precipitation

Stratocumulus and small cumulus clouds

cumulus clouds in relatively dry environment

Deep maritime tropical cumulus clouds (wet environment)

Orographic clouds in relatively dry environment

Orographic clouds in humid environment

Increase in humidity

Increase in wind shear

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CLOUD SYSTEMS

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HIGH CCN CONCLOW CCN CONC

MODERATE Humidity

High Humidity

SUPER CELL STORMS (Effects aerosols and humidity )

Khain, and Lynn (2009),

WRF with SBM

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ROLE OF WIND SHEAR IN SQUALL LINES AND CLOUD SYSTEMS(Khain et al 2005; Tao et al 2007; Lee et al 2008)

Secondary cloudSquall line and long lasting clouds

Aerosol induced stronger evaporation stronger downdrafts formation of secondary clouds dynamically increased precipitation, spatial organization of convection (Khain et al, Tao et al, Lee et al).

COLD POOL formation

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A SQUALL LINE: Time evolution of radar reflectivity (Khain et al, 2003, 2005) Clean air (Maritime) Smoky air (Continental)

No squall line !

Squall

line

develops !

Hei

ght (

km)

Distance (km) Distance (km)

Lee et al 2008 focused on three observed cases of mesoscale cloud ensemble (MCE) driven by deep convective clouds, observed during the 1997 Atmospheric Radiation Measurement (ARM) summer experiment.

The results showed an increased precipitation at high aerosol, due to stronger, more numerous updraughts, initiated by stronger convergence lines at the surface in convective regions of the MCE. The stronger convergence lines were triggered by increased evaporation of cloud liquid in the high-aerosol case.

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Jiwen et al, 2009

EFFECTS OH HUMIDITY AND WIND SHEAR allows classification of precipitation response to aerosols in single clouds and cloud ensembles

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EFECT OF AEROSOLS ON MESOSCALE SYSTEMS (TROPICAL CYCLONES)

FACTORS: All previous +SPATIAL REDISTRIBUTION OF LATENT HEAT RELEASE

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resolution of the finest grid 3 km 31 levels, terrain-following vertical coordinates

Spectral bin microphysics is used on movable fine grid

Bulk parameterization

GRID STRUCTURE OF WRF_SBM USED FOR SIMULATION OF HURRICANE KATRINA

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Khain et al 2008, 2010

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MAR MAR_CON

The vertical cross-section of azimuthally averaged CWC

Khain et al 2010

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Maximum wind speedLow CCN

concentration

Effects of continental aerosols are taken into

account

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TC GENESISTD Debby 2006

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Khain et al 2010

Trajectory of TS Debby and the grid configuration used in the WRF-SBM model

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54h_MAR45h_MAR 66h_MAR 72h_MAR

54h_MAR-CON45h_MAR-CON 66h_MAR-CON 72h_MAR-CON

Aerosols hinder TD development via increase in convection (and precipitation) at TC periphery.

LOW AEROSOL CONCENTRATIONS

INTRUSION OF SAHARAN DUST INTO TD

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CONCLUSIONS1. THE EXISTENCE OF THE AEROSOL EFFECTS ON MICROPHYSICS , DYNAMICS AND PRECIPITATION IS OBVIOUS FROM BOTH OBSERVATIONS AND NUMERICAL SIMULATIONS

2. EFFECTS OF AEROSOLS DEPEND ON ENVIRONMENT CONDITIONS: humidity, wind shear, stability of the atmosphere, etc.

3. IN GENERAL AEROSOLS TEND INTENSIFY DEEP CONVECTION AND TO SUPPESS PRECIPITATION FROM SMALL CLOUDS

4. IT IS POSSIBLE TO PROPOSE QUALITITATIVE CLASSIFICATION OF AEROSOL EFFECTS ON PRECIPITATION OF SINGLE CLOUDS AND CLOUD ENSEMBLES (LIKE STORMS AND SQUALL LINES).

QUANTITATIVELY EFFECTS OF AEROSOLS CAN BE DERIVED BY USING STATISTICS OF DIFFERENT METEOROLOGICAL SITUATIONS

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6. Effects of aerosols on clouds and cloud systems developing in case of low freezing area takes special consideration

7…..8…..

5. AEROSOLS AFFECT SPATIAL DISTRIBUTION OF CONVECTION IN MESOSCAL SYSTEMS affecting their intensity and precipitation

It is the most difficult to evaluate the potential effect of aerosols on precipitation, when increase in precipitation at TC periphery weakens TC or TD

The problems which were not discussed

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THANK YOU!

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∆ L

OS

S

∆ GAIN>∆ LOSSIncrease in precipitation with increase in aerosol

concentration

∆ Gain, CONDENSATE

∆LOSS>∆GAINDecrease in precipitation with increase in aerosol

concentration Single cells

Cloud ensembles,

storms

Possible scenarios of aerosol effects on precipitation

??

??

A

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4. AEROSOLS AFFECT SPATIAL DISTRIBUTION OF CONVECTION IN MESOSCAL SYSTEMS affecting their intensity and precipitation This is the most difficult to evaluate the potential effect of aerosols on precipitation, when increase in precipitation at TC periphery weakens TC or TD

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Mass distribution functions at different heights calculated in the GO_ (left) and Smoky_tur (right) simulations (solid lines). The distributions measured in situ at 5 Oct 2002 in the green –ocean clouds at nearly the same height levels are plotted by dashed lines (after Andreae et al 2004 and Freud et al 2004).

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In situ measurementsNumerical simulations

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Example 3:

Continental clouds in very dry air ∆Loss>∆Gain

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Results:

1) Aerosols increase ice contents at the upper levels and increases the area of cloud anvils (ice anvils)

2) Formation of a large amount of crystals at high levels represents loss in precipitating mass

2D HUCM: Concentration of ice crystals in Texas summertime clouds (very dry air, isolated clouds) (Khain et al 2001; Khain and

Pokrovsky, 2004)

C-cloud M-cloud

Hei

ght (

km)

Distance (km) Distance (km)

500 cm-3 14 cm-3

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maritime aerosol

TEXAS: CONTINENTAL (UNSTABLE) CONDITIONSKhain and Pokrovsky (2004-JAS)

Depletion of rain in smoky air

continental aerosol

Time delay in onset of

precipitation

Evaporation and ice sublimation

Result:

Aerosol decrease (even deplete) precipitation because of larger loss of precipitation by sublimation and evaporation within a dry air environment

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The role of atmospheric humidity and wind shearAerosols (not including GCCN) inhibit

precipitation:Rosenfeld 1999, 2000 (small clouds+droplets are

small);

Givati and Rosenfeld 2004 (Dry atmosphere, orographis clouds)

Tao et al (1995), Ferrier et al (1996

Khain et al, 2001 (very dry atmosphere, high instability);

Khain and Pokrovsky (2004) (very dry atmosphere, high instability);

Khain et al (2004a,b)(dry atmosphere)

Axel et al (2004) (dry atmosphere, single clouds);

Tao et al (2004)(dry atmosphere)

Teller and Levin(2005) (cold cloud base, single cloud)

Lynn et al (2006)(orographic clouds, dry atmosphere)

Borys et al (2000)(orographic clouds, dry atmosphere)

Jirak and Cotton (2006 )(orographic clouds, dry atmosphere)

Khain et al (2007) dry atmosphere (Brazil)

Tao et al (2007) continental squall line

Khain and Lynn (2007) dry air, supercell storm

Aerosols can increase precipitation:Ohashi and Kida 2002 (breeze, wet conditions)

Shepherd and Burian 2003 (wet conditions)

Amiranashvili et al 2004 (wet conditions, deep

thunderstorms)

Filho et al (2004) (wet conditions, breeze circulation)

Khain et al (2005-QJRMS) (Wet air, tropical clouds)

Axel et al (2004) (wet air);

Axel and Beheng (2004)

Tao et al (2004) (wet air, squall line)

Van den Heever et al (2004) (cloud system, wet)

Lynn et al (2005a,b- Florida wet air, squall line)

Khain et al (2007-wet, tropical convection)

Tao et al (2007) –TOGA CORE (wet, squall line)

Khain and Lynn (2007) supercell storm, wet air)

Wang (2005) (tropical convection)

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LOW CCN concentration HIGH CCN concentration

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LOW CCN concentration HIGH CCN concentration

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LANDFALL: Maximum wind speedLow CCN

concentration

Effects of continental aerosols are taken into

account