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Lightning Threat Forecast Simulation Using the Schrodinger- Electrostatic Algorithm

Emetere, Moses and Akinyemi, M. L. and Uno, U. E. and Boyo, A. O. (2014) Lightning Threat Forecast Simulation Using the Schrodinger- Electrostatic Algorithm. In: 2014 International Conference on Environment Systems Science and Engineering, 2014.

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Many models have been propounded for forecasting lightning. Though majority of the model had shown accuracy, the response time in detecting natural phenomenon is quite low. In this model, we used the mathematical experimentation of the micro scale plasmas to develop the macro scale atmospheric plasma which we believe is a major influence of lightning. The Schrödinger-electrostatic algorithm was propounded to further increase both the accuracy and alacrity of detecting natural phenomena. According to our theoretical experimentation, the air density plays a major role in lightning forecast. Our guess was verified using the Davis Weather Station to track the air density both in the upper and lower atmosphere. The air density in the upper atmosphere showed prospect as a vital factor for lightning forecast.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: global atmospheric electrical circuit; lightning; plasma; Schrödinger
Subjects: Q Science > QC Physics
Divisions: Faculty of Engineering, Science and Mathematics > School of Physics
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 11 May 2018 11:39
Last Modified: 11 May 2018 11:42

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