Paper
18 April 2003 Modeling, simulation, and comparison study of cirrus cloud ice crystals
Author Affiliations +
Proceedings Volume 4882, Remote Sensing of Clouds and the Atmosphere VII; (2003) https://doi.org/10.1117/12.463034
Event: International Symposium on Remote Sensing, 2002, Crete, Greece
Abstract
Various methods and techniques to estimate ice crystals radar response have been developed to study the structure of cirrus clouds. Most methods assume a spherical shape for the ice crystals. This assumption leads to mistakes on the parameter estimation related to the particles' size. In this work, we modeled the shape of ice particles found in cirrus cloud as measured by airborne instruments, specifically ice bullets. These can be found depending on the temperature and cloud altitude, isolated or in groups of two or more bullets, called bullet rosettes. The model of the bullets was developed using the parameters obtained by airborne measurements from the National Center for Atmospheric Research (NCAR) Video Ice Particle Sampler (VIPS). This is an airborne instrument that takes samples of the cirrus cloud particles sizes. With these sample parameters we created a bullet function in DDSCAT with the actual shape of the bullets. This software allows us to create irregular models of particles using the Discrete Dipole Approximation method. With this model we can analyze the backscattering produced by the bullet and rosette model or reflectivity and compute the total volume backscattering coefficient from the cirrus clouds. Various models of ice crystal habits are compared.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jorge M. Villa, Sandra L. Cruz-Pol, Jose G. Colom-Ustariz, and Stephen M. Sekelsky "Modeling, simulation, and comparison study of cirrus cloud ice crystals", Proc. SPIE 4882, Remote Sensing of Clouds and the Atmosphere VII, (18 April 2003); https://doi.org/10.1117/12.463034
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Cited by 4 scholarly publications.
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KEYWORDS
Clouds

Crystals

Atmospheric particles

Crystallography

Atmospheric modeling

Backscatter

Particles

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