The Effect of Roughness Model on Scattering Properties of Ice Crystals.

Abstract We compare stochastic models of microscale surface roughness assuming uniform and Weibull distributions of crystal facet tilt angles to calculate scattering by roughened hexagonal ice crystals using the geometric optics (GO) approximation. Both distributions are determined by similar roughness parameters, while the Weibull model depends on the additional shape parameter. Calculations were performed for two visible wavelengths (864 nm and 410 nm) for roughness values between 0.2 and 0.7 and Weibull shape parameters between 0 and 1.0 for crystals with aspect ratios of 0.21, 1 and 4.8. For this range of parameters we find that, for a given roughness level, varying the Weibull shape parameter can change the asymmetry parameter by up to about 0.05. The largest effect of the shape parameter variation on the phase function is found in the backscattering region, while the degree of linear polarization is most affected at the side-scattering angles. For high roughness, scattering properties calculated using the uniform and Weibull models are in relatively close agreement for a given roughness parameter, especially when a Weibull shape parameter of 0.75 is used. For smaller roughness values, a shape parameter close to unity provides a better agreement. Notable differences are observed in the phase function over the scattering angle range from 5° to 20°, where the uniform roughness model produces a plateau while the Weibull model does not.

[1]  A. Macke,et al.  Single Scattering Properties of Atmospheric Ice Crystals , 1996 .

[2]  B. Cairns,et al.  Remote sensing of ice crystal asymmetry parameter using multi-directional polarization measurements - Part 2: Application to the Research Scanning Polarimeter , 2012 .

[3]  A. Baran From the single-scattering properties of ice crystals to climate prediction: A way forward , 2012 .

[4]  T. Ackerman,et al.  Relating Cirrus Cloud Properties to Observed Fluxes: A Critical Assessment. , 1995 .

[5]  B. Cairns,et al.  A Flexible Parameterization for Shortwave Optical Properties of Ice Crystals , 2014 .

[6]  Anthony J. Baran,et al.  A review of the light scattering properties of cirrus , 2009 .

[7]  G. McFarquhar,et al.  Single‐scattering properties of aggregates of plates , 2009 .

[8]  William Pfalzgraff,et al.  Scanning electron microscopy and molecular dynamics of surfaces of growing and ablating hexagonal ice crystals , 2009 .

[9]  A. Baran,et al.  A self‐consistent scattering model for cirrus. I: The solar region , 2007 .

[10]  Harumi Isaka,et al.  Scattering Phase Function of Bullet Rosette Ice Crystals , 1995 .

[11]  S. Neshyba,et al.  Roughness metrics of prismatic facets of ice , 2013 .

[12]  P. Russell,et al.  Retrieval of cirrus properties by Sun photometry: A new perspective on an old issue , 2013 .

[13]  P. Yang,et al.  Comparison between the pseudo-spectral time domain method and the discrete dipole approximation for light scattering simulations , 2012 .

[14]  B. Cairns,et al.  Interactive comment on “Remote sensing of ice crystal asymmetry parameter using multi-directional polarization measurements – Part 1: Methodology and evaluation with simulated measurements” by B. van Diedenhoven et al , 2012 .

[15]  T. L’Ecuyer,et al.  Influence of Ice Particle Surface Roughening on the Global Cloud Radiative Effect , 2013 .

[16]  Qiang Fu,et al.  A New Parameterization of an Asymmetry Factor of Cirrus Clouds for Climate Models , 2007 .

[17]  P. Yang,et al.  Ice particle habit and surface roughness derived from PARASOL polarization measurements , 2013 .

[18]  Paul W. Stackhouse,et al.  The Relevance of the Microphysical and Radiative Properties of Cirrus Clouds to Climate and Climatic Feedback , 1990 .

[19]  Dong L. Wu,et al.  Cloud ice: A climate model challenge with signs and expectations of progress , 2007 .

[20]  Q. Fu,et al.  Dependence of ice crystal optical properties on particle aspect ratio , 2009 .

[21]  Ann M. Fridlind,et al.  Variation of ice crystal size, shape, and asymmetry parameter in tops of tropical deep convective clouds , 2014 .

[22]  P. Yang,et al.  The effects of surface roughness on the scattering properties of hexagonal columns with sizes from the Rayleigh to the geometric optics regimes , 2013 .

[23]  Junshik Um,et al.  Formation of atmospheric halos and applicability of geometric optics for calculating single-scattering properties of hexagonal ice crystals: Impacts of aspect ratio and ice crystal size , 2015 .

[24]  Yongxiang Hu,et al.  The impact of ice particle roughness on the scattering phase matrix , 2010 .

[25]  B. Diedenhoven The prevalence of the 22° halo in cirrus clouds , 2014 .

[26]  Brent N. Holben,et al.  Cloud thermodynamic phase detection with polarimetrically sensitive passive sky radiometers , 2014 .

[27]  Ping Yang,et al.  Accurate simulation of the optical properties of atmospheric ice crystals with the invariant imbedding T-matrix method , 2014 .

[28]  M. Mishchenko,et al.  The influence of inclusions on light scattering by large ice particles , 1996 .

[29]  V. Shcherbakov Why the 46° halo is seen far less often than the 22° halo? , 2013 .

[30]  Brad Baker,et al.  Light Scattering by Single Natural Ice Crystals , 2006 .

[31]  Jun Q. Lu,et al.  Systematic comparison of the discrete dipole approximation and the finite difference time domain method for large dielectric scatterers. , 2007, Optics express.

[32]  N. Magee,et al.  Mesoscopic surface roughness of ice crystals pervasive across a wide range of ice crystal conditions , 2014 .

[33]  K. Liou,et al.  Geometric-optics-integral-equation method for light scattering by nonspherical ice crystals. , 1996, Applied optics.