Behavior of corona current and atmospheric variables under thunderstorm conditions: Thunderstorm prediction algorithm

In order to develop an algorithm to predict thunderstorms, atmospheric data is continuously recorded in Bogota Colombia, from July to November, 2011. The recorded variables are corona current, natural electric field, atmospheric pressure, ambient temperature and air humidity. From this large amount of recorded data, 22 thunderstorm events are selected to be analyzed in the present paper. The transition of the measured variables from fair weather- to thunderstorm conditions are presented and discussed. The recorded significant changes in the atmospheric data can be used to develop a thunderstorm predicting algorithm.