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**Harvard**

Rathsman, T. (2016) *A software toolkit for generating ice and snow particle sharp data*. Göteborg : Chalmers University of Technology

** BibTeX **

@mastersthesis{

Rathsman2016,

author={Rathsman, Torbjörn},

title={A software toolkit for generating ice and snow particle sharp data},

abstract={Abstract
Ice and snow particle shape data are important for understanding the scattering of
microwave radiation from a cloud. This thesis presents a software toolkit that can be
used to generate such data, for use with Discrete Dipole Approximation calculations.
The toolkit has been used to implement a Gillespie-based algorithm with overlap
rejection. This algorithm, when used with hexagonal columns, has reproduced some
of the properties of real snowflakes, namely their fractal dimension, and their size
distribution.
The toolkit uses ice crystal prototypes to construct aggregates. Ice crystal prototypes
can be modeled in 3D modelling software. This makes it is easy to construct
exotic shapes, as opposed to a system based on different classes for different prototypes.
In order to keep the possibility of arbitrary parameterisation, the ice crystal
prototypes specifies transformation rules that are used if the ice crystal prototype
should be deformed. Aggregates and ice crystal prototypes can be merged in different
ways to form larger aggregates. To feed a DDA calculation program, the toolkit
also provides a rasterisation system, which fills geometry with voxels by using a
6-directional floodfill algorithm.
A large part of the thesis discusses various ways of measuring particles. This
has lead to a unit neutral way of testing whether or not a model simulates reality.
The idea is to compare an averaged spherical volume fill ratio, which according to
measurements should follow a particular equation, derived within this thesis.
Besides giving an overview of the toolkit, and presenting simulation results, this
thesis also serves as a reference manual on how to use the toolkit.},

publisher={Institutionen för rymd- och geovetenskap, Chalmers tekniska högskola},

place={Göteborg},

year={2016},

keywords={software toolkit for ice and snow particle shape data},

note={124},

}

** RefWorks **

RT Generic

SR Electronic

ID 234473

A1 Rathsman, Torbjörn

T1 A software toolkit for generating ice and snow particle sharp data

YR 2016

AB Abstract
Ice and snow particle shape data are important for understanding the scattering of
microwave radiation from a cloud. This thesis presents a software toolkit that can be
used to generate such data, for use with Discrete Dipole Approximation calculations.
The toolkit has been used to implement a Gillespie-based algorithm with overlap
rejection. This algorithm, when used with hexagonal columns, has reproduced some
of the properties of real snowflakes, namely their fractal dimension, and their size
distribution.
The toolkit uses ice crystal prototypes to construct aggregates. Ice crystal prototypes
can be modeled in 3D modelling software. This makes it is easy to construct
exotic shapes, as opposed to a system based on different classes for different prototypes.
In order to keep the possibility of arbitrary parameterisation, the ice crystal
prototypes specifies transformation rules that are used if the ice crystal prototype
should be deformed. Aggregates and ice crystal prototypes can be merged in different
ways to form larger aggregates. To feed a DDA calculation program, the toolkit
also provides a rasterisation system, which fills geometry with voxels by using a
6-directional floodfill algorithm.
A large part of the thesis discusses various ways of measuring particles. This
has lead to a unit neutral way of testing whether or not a model simulates reality.
The idea is to compare an averaged spherical volume fill ratio, which according to
measurements should follow a particular equation, derived within this thesis.
Besides giving an overview of the toolkit, and presenting simulation results, this
thesis also serves as a reference manual on how to use the toolkit.

PB Institutionen för rymd- och geovetenskap, Chalmers tekniska högskola,

LA eng

LK http://publications.lib.chalmers.se/records/fulltext/234473/234473.pdf

OL 30