Detection of thunderstorms using data mining and image processing

Reddy, Chandan K.; Anisha, P. R.; Prasad, L V Narasimha

doi:10.1109/icadiwt.2014.6814672

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…The lifetime of electrons, which ranges from a few milliseconds at 40 km altitude up to 10–100 s at 80 km altitude, is in good agreement with the recovery time of very low frequency signals in the work of Inan et al []. This lifetime is smaller than the life span of thunderstorms, which varies from less than an hour for single‐cell thunderstorms to several hours for multicell thunderstorms [e.g., Reddy et al , ]. Therefore, steady state electron density can be fulfilled above thunderclouds.…”

Section: Discussionsupporting

confidence: 78%

Effects of small thundercloud electrostatic fields on the ionospheric density profile

Salem

Liu

Rassoul

2015

Geophysical Research Letters

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Small electrostatic fields of values not strong enough to activate electron impact ionization, attachment, and detachment processes can be established in the upper atmosphere by underlying thunderstorms. This paper investigates their effects on the ionospheric densities by using a simplified ion chemistry model. The modeling results indicate that under the steady state condition, the nighttime electron density profile can be reduced by up to ∼40% or enhanced by a factor of up to ∼6 because of the variation of the three‐body electron attachment rate constant with the electric field.

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Section: Discussionsupporting

confidence: 78%

Effects of small thundercloud electrostatic fields on the ionospheric density profile

Salem

Liu

Rassoul

2015

Geophysical Research Letters

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“…GP has been used in the prediction of thunderstorms [27]. Many researchers utilized wavelet techniques in the prediction of thunderstorms [4], [41]. The screening regression technique has also been applied to the lightning data with meteorological predictors.…”

Section: Literature Surveymentioning

confidence: 99%

Heuristic Model to Compute Indices for Classification of Incidence and Non-Incidence of Thunderstorms Over Ranchi With Atmospheric Parameter

2021

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The Spatial-temporal Statistical Analysis of Lightning Behavior over Hainan Island

Gao¹,

Zhou²,

Zhang³

et al. 2015

Proceedings of the 2nd International Conference on Intelligent Computing and Cognitive Informatics

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By study on lightning data in 2010~2013 from lightning location system of Hainan Power Grid Corporation, the spatial-temporal distribution of flashes on Hainan island were achieved. The results showed that Hainan thunderstorm activity was very frequent, where a high number of lightning occurred from May to September; there is a strong correlation between the lightning intensity of Hainan island and NINO3.4 index; the temporal distribution of Lightning on Hainan island has obvious "twin peaks" characteristics, as well as daily flashes; the large flash density of Hainan island mainly appeared in the mountainous areas in the northeast, and most centered on windward area.

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Detection of thunderstorms using data mining and image processing

Cited by 4 publications

References 7 publications

Effects of small thundercloud electrostatic fields on the ionospheric density profile

Effects of small thundercloud electrostatic fields on the ionospheric density profile

Heuristic Model to Compute Indices for Classification of Incidence and Non-Incidence of Thunderstorms Over Ranchi With Atmospheric Parameter

The Spatial-temporal Statistical Analysis of Lightning Behavior over Hainan Island

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