Forecasting the Maintenance of Mesoscale Convective Systems Crossing the Appalachian Mountains

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Forecasting the Maintenance of Mesoscale Convective Systems Crossing the Appalachian Mountains Casey Letkewicz CSTAR Workshop October 28, 2010

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Forecasting the Maintenance of Mesoscale Convective Systems Crossing the Appalachian Mountains. Casey Letkewicz CSTAR Workshop October 28, 2010. 9 August 2000. 20 April 2000. Observational Study. 20 crossing and 20 noncrossing cases from Keighton et al. 2007 database - PowerPoint PPT Presentation

Transcript of Forecasting the Maintenance of Mesoscale Convective Systems Crossing the Appalachian Mountains

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Forecasting the Maintenance of Mesoscale Convective Systems

Crossing the Appalachian Mountains

Casey LetkewiczCSTAR WorkshopOctober 28, 2010

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9 August 2000

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20 April 2000

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Observational Study

• 20 crossing and 20 noncrossing cases from Keighton et al. 2007 database

• Two observed soundings chosen for each case– One to represent upstream environment, one to

represent downstream environment– Soundings modified with surface conditions within

1 hour of MCS passage• Downstream environment discriminated

between crossing and noncrossing cases

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Observational Study• Key discriminatory parameters:– MUCAPE, combined with MUCIN

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Observational Study

• Key discriminatory parameters:– 0-3 and 0-6 km shear; 3-12 km mean wind speed– Mountain-perpendicular 0-3 km shear and 3-12

km wind speed• Crossing cases on average had weaker shear and mean

wind…why?

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Conceptual Model

Frame and Markowski (2006)

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Influence of Mean Wind

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Influence of Low-level Shear

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Questions

• Do changes to the wind profile alone result in a crosser or noncrosser?

• Is the influence of the wind profile greater in smaller CAPE (i.e. noncrossing) environments?

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Idealized Modeling

• CM1 model, version 1.14• ∆x, ∆y = 500 m; ∆z stretched from 150 m at

model surface to 500 m aloft • Gaussian-bell shaped barrier, 100 km wide and

1 km tall• Squall lines allowed to evolve and mature for

3 hours before reaching the barrier

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Experimental Design

SBCAPE = 1790 J/kgSBCIN = -20 J/kg

MUCAPE = 2290 J/kgMUCIN = 0 J/kg

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Experimental Design

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ControlW

ithou

t ter

rain

With

terr

ain

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Control--dry

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Mean Wind ExperimentsM

ean

win

d +5

m/s

Mea

n w

ind

-5 m

/s

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Shear Experiments

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Shear Experiments

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Wind Profile Experiments

• Conceptual model of Frame and Markowski (2006) upheld– The environmental hydraulic jump in the lee also

contributed to system redevelopment• Changes to the wind profile alone do not

discriminate crossing vs. noncrossing systems– What about a less favorable thermodynamic

environment?

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Thermodynamic Experiments

MUCAPE = 2290 J/kgMUCIN = 0 J/kg

SBCAPE = 825 J/kgSBCIN = -150 J/kg

Cool 6K

Cool 12KSBCAPE = 0 J/kgSBCIN = 0 J/kg

MUCAPE = 1370 J/kgMUCIN = -5 J/kg

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Lee Cooling

-Increasing the mean wind did not prevent system redevelopment in the lee

Still have ample MUCIN and small MUCIN!

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Thermodynamic Experiments

SBCAPE = 600 J/kgSBCIN = -20 J/kg

MUCAPE = 600 J/kgMUCIN = -20 J/kg

Drying to Observed RH

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Lee Drying

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Thermodynamic ExperimentsCooling, drying, midlevel warming

SBCAPE = 110 J/kgSBCIN = -720 J/kg

MUCAPE = 575 J/kgMUCIN = -100 J/kg

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Lee Cooling, Drying, Midlevel Warming

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Thermodynamic Experiments

• MUCAPE upheld as most important forecasting parameter, especially when combined with MUCIN

• Changes to wind profile have greater influence in low CAPE, high CIN environments

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Conclusions

• Greatest influence on MCS maintenance is the downstream thermodynamic environment – Especially MUCAPE and MUCIN

• Wind profile does not play a primary role in determining MCS maintenance over a barrier

• Wind profile exerts a stronger influence in low CAPE, high CIN environments

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Publications

• Letkewicz and Parker, 2010: Forecasting the maintenance of mesoscale convective systems crossing the Appalachian mountains. Wea. Forecasting, 25, 1179-1195.

• Modeling study submitted for publication in Monthly Weather Review

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Shear Experiments