Influence of cloud-radiative processes on tropical cyclone storm structure and intensity

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Influence of cloud-radiative processes on tropical cyclone storm structure and intensity Robert Fovell and Yizhe Peggy Bu University of California, Los Angeles [email protected] ollaborators: ui Su and Longtao Wu, JPL; Greg Thompson, NCAR/DTC; igia Bernardet and Mrinal Biswas, DTC; Brad Ferrier, NCEP 1 HSRP meeting 9 May 2013, NASA Ames

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HSRP meeting 9 May 2013, NASA Ames. Influence of cloud-radiative processes on tropical cyclone storm structure and intensity. Robert Fovell and Yizhe Peggy Bu University of California, Los Angeles [email protected]. Collaborators : - PowerPoint PPT Presentation

Transcript of Influence of cloud-radiative processes on tropical cyclone storm structure and intensity

Page 1: Influence of cloud-radiative processes on tropical cyclone storm structure and intensity

Influence of cloud-radiative processes on tropical cyclone storm structure and intensityRobert Fovell and Yizhe Peggy BuUniversity of California, Los [email protected]

Collaborators: Hui Su and Longtao Wu, JPL; Greg Thompson, NCAR/DTC; Ligia Bernardet and Mrinal Biswas, DTC; Brad Ferrier, NCEP

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HSRP meeting 9 May 2013, NASA Ames

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Near environment(200-400 km)

Relative humidity anomalies in TC front-right quadrant

Far environment(600-800 km)

Wu et al. (2012, GRL)

W: Weakening; N: Neutral; I: Intensifying; RI: Rapidly Intensifying

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Relevant science questions

• How does the outflow layer interact with the environment?• How do intrusions of dry air impact

intensity change?

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Background

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• Real-data WRF-ARW @ 3 or 4 km• 72 h• Uniform SST• No initial flow• NO LAND• 7 microphysics (MP)

schemes• One initial condition

Semi-idealized experiment

Fovell et al. (2009)Fovell et al. (2010)

very small part of domain shown

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• These MP schemes yielded different…• …amounts of various

hydrometeors• …diabatic heating

patterns• …symmetric wind

structures• …asymmetry patterns• …motions• …intensities

Semi-idealized experiment

Fovell et al. (2009)Fovell et al. (2010)

very small part of domain shown

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Influence of cloud-radiative feedback (CRF)

Fovell et al. (2010)

CRF offCRF on

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CRF-on CRF-off

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Troposphere-averaged vertical velocity

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Top row: CRF onBottom row: CRF off

150 km CRF caused storms to be wider, less asymmetric, weaker

Fovell et al. (2010)with ARW, curved Earth

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Hypotheses• CRF amplifies differences among MP schemes• CRF actively leads to wider anvils• Anvil self-spreading mechanism

• CRF indirectly enhances outer core convective activity• Moistening of outer core region

• CRF leads to weaker inner core intensity• Competition between eyewall and outer core convection

• CRF results in wider eyes• Possible direct (CRF diabatic forcing) and indirect (via enhanced

convection) influences• Lack of CRF in HWRF may explain eye size and intensity biases• HWRF eyes tend to be too small, too annular• HWRF storms tend to be too intense

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More semi-idealized WRF-ARW simulationsf-plane & curved Earth

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Experimental design

• WRF 3.4.1 “real-data” version• f-plane 20˚N or fully curved Earth• 4 km resolution• No land, uniform SST• Modified Jordan sounding• No initial wind or shear• Bubble initialization• Thompson microphysics (among others)• RRTMG LW and SW radiation (among others)• 96 h simulations with and without CRF

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Radial (colored) and tangential (contoured) winds

Top: CRF-onBottom: CRF-off

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CRF-off storm is narrower, stronger

CRF-on storm has more extensive radial outflow

400 km

f-planeTemporally & azimuthally averaged – last 24 h

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Condensate (colored) and net radiative forcing (contoured)

Top: CRF-onBottom: CRF-off

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CRF-on storm has more extensive anvil

400 km

f-plane-0.9 K/h

only clear sky

C

W

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Condensate (colored) and radiative forcing (contoured)

Top: LW componentBottom: SW component

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Substantial cancellation between LW & SW… during the day

400 km

f-plane-1.6 K/h

0.8 K/h

LW

SWOver 24 h

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Condensate (colored) and radiative forcing (contoured)

Top: LW ONLYBottom: SW ONLY

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Substantial cancellation between LW & SW… during the day

400 km

f-plane-1.6 K/h

0.8 K/h

LW

SW

CloudSat obs Wu and Su,

JPL

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Diabatic heating from microphysics (colored) and net radiative forcing (contoured)

Top: CRF-onBottom: CRF-off

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CRF-on storm has more upper-level heating, less lower-level cooling

400 km

f-plane

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Difference fields fordiabatic heating from microphysics (colored) and net radiative forcing (contoured)

Top: CRF-onBottom: CRF-off

17400 km

f-plane

CRF-on storm has more extensive heating, concentrated in upper troposphere

Eye widthdifference

Extra heating

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Tangential wind at lowest model level: CRF-on vs. CRF-off

10 m/s or 20 kt

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CRF-on is:

weakerwider

broader

CRF-on

CRF-off

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Tangential wind at lowest model level: f-plane vs. curved Earth

10 m/s or 20 kt

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Curved EarthCRF-on now

more intense;outer winds still

stronger

CRF-on

CRF-off

curved Earth

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Radial (colored) and tangential (contoured) winds

Top: CRF-onBottom: CRF-off

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CRF-off storm is slightly narrower, but weaker

CRF-on storm has more extensive radial outflow

400 km

Curved Earth

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Diabatic heating from microphysics (colored) and net radiative forcing (contoured)

Top: CRF-onBottom: CRF-off

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400 km

Curved Earth

CRF-on storm has more outer core heating;little net cooling seen

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f-plane curved EarthDiabatic forcing

ON

OFF

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Difference fields fordiabatic heating from microphysics (colored) and net radiative forcing (contoured)

Top: f-planeBottom: curved Earth

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Heating difference patterns are different

400 km

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Impacts of CRF• Strengthens radial outflow• Enhances outer region convection• Broadens wind field• Widens storm eye• No systematic influence on intensity• Sensitivity to microphysics scheme• Large in schemes rich in cloud ice and snow• Small in “graupel-happy” parameterizations

• Operational HWRF (still) has no CRF• May help explain some model size, structure biases

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Red text = not shown here

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The physics of CRF: how and whyAxisymmeric simulations with CM1Moist and dry versions

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CM1 experimental design

• Axisymmetric framework (f-plane 20˚N)• 5 km resolution• 16 day simulations• Rotunno-Emanuel moist-neutral sounding• Goddard radiation (modified)• Thompson microphysics• Averaging period: last 4 days

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Tangential wind at lowest model level

10 m/s or 20 kt

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CRF-on stronger than

CRF-off;Both much

stronger than 3D versions

CRF-on

CRF-off

10 m/s

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Condensate (colored) and total radiative forcing (contoured)

Top: CRF-onBottom: CRF-off

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CRF-on storm has wider anvil, and is also deeper

400 km

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Radial (colored) and tangential (contoured) winds

Top: CRF-onBottom: CRF-off

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CRF-on storm again wider with stronger outflow but also higher intensity

400 km

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Radial wind (colored) and CRF forcing (contoured)

Top: CRF differences

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By itself, CRF forcing encourages stronger radial outflow

Eye widthdifference

Deeper, stronger, more extensive outflow

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Radial wind (colored) and CRF forcing (contoured)

Top: CRF differencesBottom: dry model

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By itself, CRF forcing encourages stronger radial outflow

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Direct response to CRF forcing

32• CRF induces stronger radial outflow

• Outflow advects hydrometeors that carry the CRF forcing• Anvil expansion (positive feedback)

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Condensate (colored) and total radiative forcing (contoured)

Top: CRF-onBottom: CRF-off

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Is the cloud-radiative forcing active or passive?

400 km

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Condensate (colored) and total radiative forcing (contoured)

Top: CRF-onBottom: CRF-fixed

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CRF is active.

400 km

CRF forcing averaged overlast 3 days, applied &held fixed. BackgroundLW cooling removed.

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A diabatic heating difference field (CRF-on – CRF-off)

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Extra heating owing to CRF

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Dry model response

Diabatic forcing from moist modelCRF-on

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400 km

500 km

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Dry model response

widens, broadens

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Diabatic forcing from moist modelCRF-on

400 km

500 km

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Dry model response 38

Diabatic forcing from moist modelCRF-on

400 km

500 km

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Cartoon

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Cartoon

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CRF

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Cartoon

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Cartoon

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Cartoon

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Conclusions• CRF (directly) encourages stronger radial outflow, and

(indirectly) establishes stronger cyclonic winds• Influence on intensity … adds to uncertainty• Significant diurnal cycle also results (not shown)• Dependent on particle sizes (microphysics assumptions)• May explain some model structural biases• Need better understanding (observations) of LW & SW forcing

magnitudes

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[end]

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Radial (colored) and tangential (contoured) winds

Top: RRTMG standardBottom: RRTMG connect

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Passing particle size information from microphysics to radiation has little impact

400 km

ARW with Thompson MP: RRTMG vs. “connected RRTMG”f-plane

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Radial (colored) and tangential (contoured) winds

Top: RRTMG LW/SWBottom: FLG LW/SW

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Radiation scheme makeslittle difference

400 km

ARW with Thompson MP: RRTMG vs. Fu-Liou-Gu radiationf-plane

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How does dry air impact TC storm development and/or intensity?

• Possible negative influences• Promote downdrafts, lowering inflow CAPE and/or blocking

inflow• Ventilation above surface layer• Encourage asymmetric convection

• Possible positive influences• Suppress outer core convective activity

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• Close proximity of dry air delays TC development,primarily by encouraging asymmetric convection• Eventually, TC moistens its local environment

Braun et al. (2011)

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Bu (2012)

Axisymmetric model experiments

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Bu (2012)

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Axisymmetric model experiments

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Bu (2012)

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Near environment(200-400 km)

Relative humidity in TC front-right quadrant

Far environment(600-800 km)

Wu et al. (2012)

W: Weakening; N: Neutral; I: Intensifying; RI: Rapidly Intensifying

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Near environment(200-400 km)

Relative humidity in TC front-right quadrant

Far environment(600-800 km)

Wu et al. (2012)

Near-Far RH gradient

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“Bubble” initialization

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Small portion of domain shown

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Condensate (colored) and net radiative forcing (contoured)

Top: CRF-onBottom: CRF-off

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400 km

Curved Earth

CRF-on storm has more extensive anvil

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ARW simulation strategy

59All plots are temporally averaged in a vortex-centered reference frame

between 72 and 96 h.Vertical cross-sections are also averaged azimuthally.