Statistical analysis of relationship between lightning activity and average surface wind speed

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AuteurONAH, M WAIDI
AuteurADECHINAN, A JOSEPH
AuteurGUEDJE, KOSSI FRANCOIS
AuteurKOUGBEAGBEDE, HILAIRE
AuteurHOUNGNINOU, BODOU ETIENNE
Date d'ajout2026-06-02T16:06:57Z
Date de disponibilite2026-06-02T16:06:57Z
Date de publication2021
ResumeThis paper analyses the yearly variability of data from three synoptic stations. These data are cross-referenced with the lightning data of the area. The resulting linear or polynomial regression models revealed the same description of the relationship between the mean number of lightning flashes and the mean surface wind speed. A correlation of 0.75, 0.89 and 0.90 is significantly established between the data from Kandi, Natitingou and Parakou stations respectively. A coefficient of determination of 0.56; 0.80 and 0.81 is significantly obtained respectively for these stations by linear regression and then 0.56; 0.84 and 0.85 by polynomial regression. The F-test showed that the fits of the two models are equal. However, the coefficient of determination is higher with the polynomial regression. All other things being equal, when the average surface wind speed increases by 1m/s, the average number of lightning bolts increases by 8400 according to Kandi, 12674 according to Natitingou and 8847 according to Parakou. More than 80% of the variability in the average number of lightning flashes is explained by the average surface wind speed
Autre identifiantBECDB-14334
URIhttps://dspace.uac.bj/handle/123456789/12233
Languefr
Fait partie deArabian Journal of Chemical and Environmental Research
SujetWWLLN lightning
Sujetwind speed
Sujetwind rose
Sujetmodelling
Sujetprédiction
Sujetstatistical testing
TitreStatistical analysis of relationship between lightning activity and average surface wind speed
TypeArticle

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