Understanding Convection in Relation to the Non-aerosol Environment ASR Science Team Meeting, Tyson’s Corner, VA, March 17, 2015 Robert Houze With help.

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Presentation transcript:

Understanding Convection in Relation to the Non-aerosol Environment ASR Science Team Meeting, Tyson’s Corner, VA, March 17, 2015 Robert Houze With help from S. Powell E. Zipser A. Varble

To understand convection we need more info on both: 1.Environment (non-aerosol) 2.In-cloud properties

Non-aerosol environment issues Shear & Buoyancy Humidity Clear-air w SW & LW Radiation

Shear & Mesoscale “Organization” We know about squall lines But there are other types of mesoscale organization

Explosive convective development Yamada et al. 2010—Equatorial Indian Ocean

Humidity, Radiation, and Large-scale w

“Self Aggregation” Emanuel et al Wing and Emanuel 2014 Radiation in dry regions leads to them expanding Convection clumps into mesoscale regions Key variables to measure— upper tropospheric humidity and large-scale w

Sounding Budget in AMIE Both depend on accurate environmental water vapor Powell & Houze (2015) Suppressed Active Transition

In-cloud issues: Vertical velocity Scale Microphysics Come together in cloud water budgets

AsAs AsAs AcAc IWC Δ Z AC Δ X AC Water budget underlies all the heating effects on the environment Don’t know this numbers for any cloud systems! No baseline knowledge. For net effects, need mass flux, not w For microphysics, need the spectrum of w Need to know N(w)dw, dimensions of all features, ice contents

Anvil clouds observed by WACR at Niamey From Powell et al. 2012, based on Protat et al Huge uncertainty! This isn’t good enough!

Sounding Budget in AMIE Powell & Houze (2015) Suppressed Active Transition Microphysics

Rowe and Houze (2014) Wet aggregates Dry aggregates Non-oriented ice Graupel Dual-polarization radar gives us particle characteristics—need to focus model testing on processes, not mixing ratios

Convective cells generate particles Layered flow distributes them—need to know N(w)dw! “Particle fountains” “Particle fountains” Yuter & Houze 1995

Zipser and Lutz 1994 Updrafts in 100’s of aircraft penetrations of convective updrafts Continental flights Ocean flights Why? T profiles? Entrainment?

MESSAGE: Real updrafts peak ~ 10 km, and all CRMs and LAMs (regardless of microphysics schemes) seriously over-predict convective intensity. Observations Model Varble et al. 2014

Contours 25x10 6 kg s –1 CFAD of vertical mass transport for a developing mesoscale system in Florida Yuter and Houze 1995

OUTSTANDING PROBLEMS Environment: Modes of mesoscale organization—shear & lapse rate: Self aggregation—humidity and radiation in the environment: Large-scale w—humidity & radiation In-cloud: What factors determine w?—parcel buoyancy, entrainment, freezing, or… Bulk mass transport—important for latent and radiative heating Vertical velocities—important for microphysics Microphysical processes—critical for heating calculation & must be evaluated against radar data

End This research is supported by DOE grant DE-SC / ER-65460

Extra Slides

“Self Aggregation” Emanuel et al Wing and Emanuel 2014 Key elements Radiation Humidity in upper troposphere

~10° Continental sounding: West African Squall Line Can generate huge T-T d  large w at low-mid levels  super cooled water, graupel, lightning

Undiluted parcel Oceanic sounding: at Gan in AMIE

Indo/Pacific Warm Pool Can’t generate large buoyancy— get weak vertical velocity

The famous Riehl & Malkus “undilute hot tower” sounding, What’s going on here? Theta-e is reduced by entrainment in low levels, but fusion heating restores it back to PBL values in upper troposphere Undilute ascent— classical assumption

Parcel Model of Convection Parcels of air arise from boundary layer This doesn’t apply to mature MCS Not uniform

Moncrieff 1992 & others B>0 Initially entraining plume convections evolves into layer overturning on mesoscale. Why? How? Shear Joint adjustment to the thermal and wind stratification of the environment

Columns Needles Dendrites   ColumnsPlates & Dendrites Aggregates & Drops Flight Level Temperature (deg C) Relative Frequency of Occurrence Melting Aircraft measurements in MCSs over the Bay of Bengal Houze & Churchill 1987