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Artificial Neural Network Model in Prediction of Meteorological Parameters during Premonsoon Thunderstorms
Joint Authors
Mary Ididcula, Sumam
Litta, A. J.
Mohanty, U. C.
Source
International Journal of Atmospheric Sciences
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-23
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Earth Science , Water and Environment
Physics
Abstract EN
Forecasting thunderstorm is one of the most difficult tasks in weather prediction, due to their rather small spatial and temporal extension and the inherent nonlinearity of their dynamics and physics.
Accurate forecasting of severe thunderstorms is critical for a large range of users in the community.
In this paper, experiments are conducted with artificial neural network model to predict severe thunderstorms that occurred over Kolkata during May 3, 11, and 15, 2009, using thunderstorm affected meteorological parameters.
The capabilities of six learning algorithms, namely, Step, Momentum, Conjugate Gradient, Quick Propagation, Levenberg-Marquardt, and Delta-Bar-Delta, in predicting thunderstorms and the usefulness for the advanced prediction were studied and their performances were evaluated by a number of statistical measures.
The results indicate that Levenberg-Marquardt algorithm well predicted thunderstorm affected surface parameters and 1, 3, and 24 h advanced prediction models are able to predict hourly temperature and relative humidity adequately with sudden fall and rise during thunderstorm hour.
This demonstrates its distinct capability and advantages in identifying meteorological time series comprising nonlinear characteristics.
The developed model can be useful in decision making for meteorologists and others who work with real-time thunderstorm forecast.
American Psychological Association (APA)
Litta, A. J.& Mary Ididcula, Sumam& Mohanty, U. C.. 2013. Artificial Neural Network Model in Prediction of Meteorological Parameters during Premonsoon Thunderstorms. International Journal of Atmospheric Sciences،Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-478625
Modern Language Association (MLA)
Litta, A. J.…[et al.]. Artificial Neural Network Model in Prediction of Meteorological Parameters during Premonsoon Thunderstorms. International Journal of Atmospheric Sciences No. 2013 (2013), pp.1-14.
https://search.emarefa.net/detail/BIM-478625
American Medical Association (AMA)
Litta, A. J.& Mary Ididcula, Sumam& Mohanty, U. C.. Artificial Neural Network Model in Prediction of Meteorological Parameters during Premonsoon Thunderstorms. International Journal of Atmospheric Sciences. 2013. Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-478625
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-478625