dc.contributor.author |
Litta, A J |
|
dc.contributor.author |
Dr.Sumam Mary,Idicula |
|
dc.date.accessioned |
2014-04-29T04:38:24Z |
|
dc.date.available |
2014-04-29T04:38:24Z |
|
dc.date.issued |
2013-11 |
|
dc.identifier.uri |
http://dyuthi.cusat.ac.in/purl/3709 |
|
dc.description |
Department of Computer Science, Cochin University of Science and Technology |
en_US |
dc.description.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. |
en_US |
dc.description.sponsorship |
Cochin University of Science And Technology |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Cochin University of Science And Technology |
en_US |
dc.subject |
Thunderstorms |
en_US |
dc.subject |
Computational Modeling |
en_US |
dc.subject |
WRF Modeling System |
en_US |
dc.subject |
Artificial nueral network model |
en_US |
dc.subject |
WRF-NMM model |
en_US |
dc.title |
Computational models for the prediction of severe thunderstorms over east indian region |
en_US |
dc.type |
Thesis |
en_US |