Electric Field Measurements at Aragats Observatory: How to Make the Physical Inferences From the Multivariate Correlated Information

Abstract

Abstract To make transformational scientific progress in Space science and geophysics, the Sun, heliosphere, magnetosphere, and different layers of the atmosphere must be studied as a coupled system. The presented paper describes how information on complicated physical processes in the atmosphere can be immediately assessable for researchers via an advanced multivariate visualization system with a simple statistical analysis package. Research of the high-energy phenomena in the atmosphere and the atmospheric discharges is of special importance. The relationship between thundercloud electrification, lightning activity, wideband radio emission, and particle fluxes has not yet been established. One of the most intriguing opportunities opened by observation of the high-energy processes in the atmosphere is their relation to lightning initiation. Investigations of the accelerated structures in the geospace plasmas can also shed light on particle acceleration up to much higher energies in the similar structures of space plasmas in the distant objects of the Universe. For example, we demonstrate how to infer the physical inferences from time series of the surges of particle flux intensity, near-surface electric field strength, records of wideband field, and interferometer antenna signals.