Comparative Analysis of Electric State of Surface Air Layer during Passage of Cumulonimbus Clouds in Warm and Cold Seasons

Abstract

Data from monitoring electrical field in the surface air layer in Tomsk in 2006–2017 are used to study their slow variations associated with the passage of cumulonimbus (Cb) clouds and accompanying weather phenomena in the warm and cold seasons. A total of 453 and 210 episodes for warm and cold seasons, respectively, were considered. Slow variations in the gradient of electric field potential are statistically analyzed. The distribution of the total duration of slow variations in the gradient of potential is shown to be well described by the power-law distribution (Pareto distribution). This distribution is approximated by two-segment line in the warm season, and one-segment line, in the cold season.