Given how deadly and destructive lightning can be, it would certainly be good to know in advance where and when it was going to strike. A new artificial intelligence-based system could help, utilizing nothing but standard weather-station data.
Developed by a team from the Electromagnetic Compatibility Laboratory at Switzerland’s EPFL research institute, the system was “trained” using a database of readings of four basic weather parameters: atmospheric pressure, air temperature, relative humidity and wind speed.
Gathered over a 10-year period from 12 Swiss weather stations in urban and mountainous regions, these readings were cross-referenced with recordings from lightning detection and location systems. This allowed the AI algorithms to learn which weather conditions were associated with lightning strikes in given areas.