Bastiaan van Diedenhoven (Columbia University, NASA GISS) Ann Fridlind, Andrew Ackerman & Brian Cairns (NASA GISS) An investigation of ice crystal sizes.

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Bastiaan van Diedenhoven (Columbia University, NASA GISS) Ann Fridlind, Andrew Ackerman & Brian Cairns (NASA GISS) An investigation of ice crystal sizes and shapes in deep convective clouds using radiance and polarization measurements in conjunction with model simulations 6/4/11

Mourning Glory  6/4/11

CRYSTAL-FACE campaign, Florida 2002 What are sizes and shapes of ice crystals produced by deep convection? How do ice crystal vary with location and time? How are ice crystals affected by aerosols? MODIS airborne simulator (MAS), CRS/EPOD Radars, Research Scanning Polarimeter (RSP), NAST-I (brightness temperature) 6/4/11

Aircraft flight tracks: 29 July 2002 Adapted from Houze et al. (1980) 6/4/11

Adapted from Houze et al. (1980) Radar ice water content & MAS retrievals MAS 11 μ m Brightness temp MAS Effective radius MAS optical thickness See also Yuan et al., JCLIM, 2010 OT>4 6/4/11

Particle shapes: Research scanning polarimeter (RSP) Measures Stokes I, Q & U Polarized reflectance: 152 viewing angles ±60° Wavelengths used: 865 nm: little absorption 1880 nm: H 2 O absorption; sees only very top of cloud RSP measurement 6/4/11

Particle shapes: Research scanning polarimeter (RSP) Polarized reflectance mainly determined by polarized phase function (P 12 ) of ice crystals P 12 depends strongly on ice shape particle roughness Aspect ratio Pristine plate Rough plate Thick plate Thin plate 6/4/11

RSP Polarized reflectance Aspect ratio ~0.8 Aspect ratio ~0.1 ? Severely roughened ice Thanks to Ping Yang 6/4/11

1.88 μ m H 2 O band: very top of cloud 1.88 μ m: Very top of cloud 0.87 μ m: deeper layers Aspect ratios ~1 at tops of outflow More extreme Aspect ratio deeper in 6/4/11

DHARMA model simulations 6/4/11

DHARMA model simulations (Ackerman et al., Nature 2004; Fridlind et al, science 2004; JGR 2007) 192 x 192 grid points, ~1km 2 resolution, m vertical Liquid, cloud ice and graupel hydrometeor classes 36 mass-doubling size bins per class Ice fall speeds modeled assuming mass, area and aspect ratio relationships (Böhm 1989) Measured ice nuclei (IN) profiles 29 July: very high IN from African dust, 3 cm -3 ( deMott et al., GRL, 2003 ) 6/4/11

DHARMA model results 6/4/11

DHARMA model results 6/4/11

Sensitivity to IN availability IN availability Heterogeneous freezing Homogeneous freezing 6/4/11

Conclusions 1 R eff ~18 μ m Rough particles Aspect ratio ~1 R eff ~22 μ m Rough particles Aspect ratio ~0.1 Rough particles Aspect ratio ~1. 6/4/11

Conclusions 2 Polarized reflectance <80 o scattering angle not fit well by optical models Cloud Resolving Model: Ice crystal sizes sensitive to IN availability Observed sizes matched only with high IN availability For more on ice shapes from polarized reflectance come see my poster today: XY74 6/4/11