Skeptical. If we are talking about predicting the likelihood of lighting in an area an hour before it hits, thats done already in weather predictive maps. Suggests here that the accuracy is within a 30 km radius. Specifics of goal are slightly incomplete, but perhaps that is not being done that accurately yet. "When it may strike", versus when/where? AI aspect may well using machine learning in an area that might attract lightning such as tall trees or buildings
Using AI and machine learning to forecast lightning By Techcrunchx
As one of the most irregular phenomena in nature, lightning is very disturbing. Scientists have lately made an AI system that forecasts lightning up to 30 minutes before it strikes.
Lightning regularly kills animals and people, initiates fires, destroys power lines and keeps aircraft stranded. Till now, it has been almost out of the question to predict lightning, with no simple technology for predicting where and when it will strike the earth.
Engineers at the Ecole Polytechnique Federale de Lausanne’s (EPFL) School of Engineering built a simple and cheap system to forecast when lightning will strike. Farhad Rachidi led the research, which resulted in a technique of predicting lightning between 10 and 30 minutes before it hits, inside a 30km radius. .... "
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