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Lightning flashes result in an instantaneous emission of electromagnetic (EM)waves that encompass a broad spectrum of frequencies in the domain of radiowaves. The signature of these impulses in the region of the very low frequency(VLF) of radio waves and bellow are called spherics. These impulsive signalstraverse great distances in the waveguide between the Earth's ionosphere andits surface. Due to the abundance of lightnings the lower end of the EMspectrum is dominated by the waveforms of these emission. It is calledatmospheric radio noise because of its origin. This article outlines astraightforward approach for capturing spherics activity within the VLF radiowave range. Employing data processing techniques, we pinpoint the timestamps ofspherics within time series data. The distribution of inter-spheric times isanalyzed across various detection threshold levels. Utilizing recordingsspanning two distinct years and seasons, we replicate the established form ofthe inter-spheric time distribution described in the literature. Notably, wedemonstrate that by rescaling the time intervals between spherics with the meantime for a specific recording and given detection threshold, the distributionscollapse to a master curve. This universal pattern is accurately characterizedby a single-parameter mean-scaled Gamma distribution. Additionally, we note thesimilarities in the distribution of inter-spheric times with patterns found inearthquake recurrence times.

Atmospheric noise measurements in the garden: detecting universalities in inter-spheric waiting time statistics