Relation Between High-wind Thunderstorms in Florida, USA and Sea Surface Temperatures of Niño 1+2 Region

By Himadri Chakrabarty, C.A. Murthy and Ashis Das Gupta.

Published by The International Journal of Climate Change: Impacts and Responses

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Article: Print $US10.00
Article: Electronic $US5.00

High-wind thunderstorm is a severe mesoscale weather phenomenon. Sea surface temperature (SST) is a synoptic-scale weather feature. In this article, the occurrences of seasonal thunderstorms associated with high wind in Florida, United States, over a period of 38 years (1969 to 2006) are correlated with the sea surface temperatures of the month of July in the Niño 1+2 region of the eastern Pacific Ocean over the same time period. It is found by statistical correlation and the random re-sampling technique that high-wind thunderstorms in most of the counties of Florida show negative correlation with the July SST in the Niño 1+2 region. Moreover, regression analysis and cross validation show that 95.92% of severe storms in Florida and 99.99% of SSTs of the Niño 1+2 region lie within 95% predicted confidence interval.

Keywords: High-wind Thunderstorm, Niño 1+2 SST, Correlation Coefficient, Regression

The International Journal of Climate Change: Impacts and Responses, Volume 3, Issue 3, pp.119-132. Article: Print (Spiral Bound). Article: Electronic (PDF File; 880.889KB).

Himadri Chakrabarty

Teacher Fellow, Institute of Radiophysics and Electronics, Department of Computer Science, Institute of Radiophysics and Electronics, Calcutta University, Surendranath College, Kolkata, West Bengal, India

M.Sc.(Electronic Science), M.Tech.(Atmospheric Science), Ph.D.(Tech) Fellow. Having interest in the field of Climatology, General Circulation, Satellite Meteorology, Space Sciences, Application of different computational methodologies in Atmospheric feature studies such as neural network, genetic algorithm etc. Presently engaged in the research work on severe mesoscale thunderstorm studies by different techniques. The thunderstorm data from different subtropical places of the world have been collected and analysed. A relationship among them has been found. The next work is to find the influence of El Nino and La Nina on all these weather phenomena.

Dr. C.A. Murthy

Professor, Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India, Machine Intelligence Unit, Indian Statistical Institute, Kolkata, West Bengal, India

Artificial Intelligence, Pattern Recognition, Image Processing, Data Mining. Real-time and Real-field data analysis are done by applying different techniques of artificial intelligence, Pattern Recognition and Statistical methodologies. Data Mining are done on the climatological data for the prediction purpose.

Prof. Ashis Das Gupta

Professor, Institute of Radiophysics and Electronics, University College of Science and Technology, Calcutta University, Kolkata, INDIA, S. K. Mitra Center, Calcutta University, Kolkata, West Bengal, India

Space Science and Technology and Communication. Studies on different areas of Ionosphere, Stratosphere and Troposhere are done. Studies are conducted also on different Atmospheric features.

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