Irregularly shaped ice aggregates in optical modeling of convective ice clouds

We propose a model of irregular shaped ice particles for satellite and ground-based cloud remote sensing applications. Microphysical observations have shown that ice particles in convective clouds tend to have highly irregular structures as a result of aggregation process. To simulate such complex s...

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Bibliographic Details
Main Authors: Hiroshi Ishimoto, Kazuhiko Masuda, Yuzo Mano, Narihiro Orikasa, Akihiro Uchiyama
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
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Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.672.2614
http://conference2011.wcrp-climate.org/posters/C12/C12_Ishimoto_M40B.pdf
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Summary:We propose a model of irregular shaped ice particles for satellite and ground-based cloud remote sensing applications. Microphysical observations have shown that ice particles in convective clouds tend to have highly irregular structures as a result of aggregation process. To simulate such complex structures, we used spatial Poisson-Voronoi tessellations. Furthermore, we adopted fractal-like shapes that were consistent with the proposed mass-dimension and area ratio-dimension relationships of measured cirrus particles. Single-scattering properties of the modeled “Voronoi aggregates” at visible wavelengths with size parameters up to 2250 were estimated from numerical calculations using the finite-difference time-domain method and the geometrical-optics integral-equation method. The phase functions for randomly oriented Voronoi aggregates showed features with no halos in the forward-scattering direction and a flat angular dependence in the side-to-backscattering directions. These characteristics and resultant asymmetry factors agreed with those of measured ice particles. Moreover, we confirmed the weak size and shape dependences of these scattering properties for the Voronoi aggregates, as well as high backscattering depolarization ratios. Ice particle images (Baum et al. 2011) Shape model of ice aggregates Voronoi tessellation frame pattern • Prepare spatial Poisson-Voronoi tessellation • Apply a 3-D pattern that define the frame structure of the particle model • Cells which include the frame points are extracted as the elements of the aggregate model • Different-sized aggregates are created by changing the size of the frame pattern Voronoi Aggregates Single scattering properties ensemble-averaged phase function for ice particles in the Antarctic measured by Polar Nephelometer (dashed line) (Baran et al. 2005) halos ice bows backscattering enhancement fractal relationship between size and mass (Heymsfield et al. 2010)