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Please use this identifier to cite or link to this item: http://purl.org/purl/3709

Title: Computational models for the prediction of severe thunderstorms over east indian region
Authors: Litta, A J
Dr.Sumam Mary,Idicula
Keywords: Thunderstorms
Computational Modeling
WRF Modeling System
Artificial nueral network model
WRF-NMM model
Issue Date: Nov-2013
Publisher: Cochin University of Science And Technology
Abstract: Thunderstorm is one of the most spectacular weather phenomena in the atmosphere. Many parts over the Indian region experience thunderstorms at higher frequency during pre-monsoon months (March- May), when the atmosphere is highly unstable because of high temperatures prevailing at lower levels. Most dominant feature of the weather during the pre-monsoon season over the eastern Indo-Gangetic plain and northeast India is the outburst of severe local convective storms, commonly known as ‘Nor’wester’ or ‘Kalbaishakhi’. The severe thunderstorms associated with thunder, squall line, lightning and hail cause extensive losses in agriculture, damage to structure and also loss of life. The casualty due to lightning associated with thunderstorms in this region is the highest in the world. The highest numbers of aviation hazards are reported during occurrence of these thunderstorms. In India, 72% of tornadoes are associated with this thunderstorm.
Description: Department of Computer Science, Cochin University of Science and Technology
URI: http://dyuthi.cusat.ac.in/purl/3709
Appears in Collections:Faculty of Technology

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