Modeling of Lightning Strikes

Lightning has been a global phenomenon observed for
thousands of years, and is yet not completely
understood by scientists. It is the characteristic
property of thunderstorms and even a slight rise in
air temperature at ground level leads to a furious
increase in the frequency of lightning during
thunderstorms. Lightning is becoming the leading
cause of weather related personal injuries; hence,
the study of lightning strike behavior with respect
to various parameters like strike time, geographical
distribution, and strength, apart from its
electromagnetic wave characteristics, has always been
a very challenging and interesting field to explore.
This book provides various new visualization and
statistical analysis algorithms developed to study
lightning strike data in a variety of ways with
respect to strike time, strength, and location. These
algorithms will definitely serve as a new insight for
upcoming students and research scientists to explore
the unknown facts of lightning strikes for
improving lightning protection on a global scale.

Autorentext
Mayuri N. Desai. Masters of Science in Electrical Engineering Specialization: Signal Processing and Communications University of Maryland Baltimore County, Maryland, USA. Project Engineer at Biotronics Inc, Iowa, USA.

Klappentext
Lightning has been a global phenomenon observed for thousands of years, and is yet not completely understood by scientists. It is the characteristic property of thunderstorms and even a slight rise in air temperature at ground level leads to a furious increase in the frequency of lightning during thunderstorms. Lightning is becoming the leading cause of weather related personal injuries; hence, the study of lightning strike behavior with respect to various parameters like strike time, geographical distribution, and strength, apart from its electromagnetic wave characteristics, has always been a very challenging and interesting field to explore. This book provides various new visualization and statistical analysis algorithms developed to study lightning strike data in a variety of ways with respect to strike time, strength, and location. These algorithms will definitely serve as a new insight for upcoming students and research scientists to explore the "unknown" facts of lightning strikes for improving lightning protection on a global scale.