Results from an analysis of URAGAN muon hodoscope data are used to identify effects observed in connection with thunderstorms recorded above and at considerable distances from the setup. These include quasiperiodic disturbances of the muon flux characteristics, reductions in the count rate, and changes in the muon flux anisotropy. An algorithm is created for selecting thunderstorm events that have a response in the muon data. It is found that abrupt drops in the muon count rate are not directly related to precipitation.

Using muon flux characteristics obtained by the URAGAN muon hodoscope, 235 thunderstorm event candidates were identified in 2014–2020, 211 of them were accompanied by thunderstorm cell detection. Comparative visualization of weather maps and muonographs (‘‘muon snapshots’’) for these events is presented. Possible explanations for the observed effect are discussed. Temporal distributions of the thunderstorm event candidates and muon flux wavelet analysis results are presented with discussion of the further prospects for the research.

Muon snapshots (muonographs) obtained by means of muon hodoscope URAGAN and meteorological maps from the Doppler weather radar DMRL-C during a thunderstorm event occurred in Moscow on August 30, 2018 are compared with each other in detail. Wavelet analysis of obtained muon data is performed. Search for possible predictors of a thunderstorm event is conducted.