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The article presents data on the measured series of electric field strength in the atmospheric surface layer for the period from 2010 to 2019 using the EFM550 electric field strength meter. The comparability of the influence of local (fogs, precipitation, thunderstorms, etc.) and global (cyclonic processes, solar-terrestrial communications, etc.) factors on atmospheric electric field variations is discussed. Global and local variations in the nature and dynamics of field strength for the conditions of the North Caucasus are confirmed. An analysis is made of the frequencies of the occurrence of a range of surface atmospheric electric field values. The obtained method of processing information about the repeating values of the polar atmosphere and the Earth’s atmosphere. For this purpose, a branch has been compared with a number of actual weather observations in the central part of hydrometeorology and environmental monitoring. Federal State Budgetary Institution “North Caucasus Office for Hydrometeorology and Environmental Monitoring” Roshydromet. The features of the influence of various meteorological phenomena on the state of the electric field strength were statistically described and a study was conducted to assess the influence of local phenomena -precipitation, clouds and thunderstorm activity on the change in the value of the electric field of the atmosphere in the area of the city of Nalchik.

The organization of lightning protection measures is based on information about the nature of the distribution of lightning discharges, their number and the current value in the region of the location of the protection objects. Therefore, the most relevant direction of the study is to clarify the existing recommendations in the field of lightning protection. In the article, based on the data of long-term measurements of the LS 8000 lightning direction finding system located in the North Caucasus, the analysis of the registration of lightning parameters is carried out. The revealed regularities of the distribution of lightning discharges over the territory in different periods of the year are the basis for the approximation equations developed by the authors, which are used to describe the space-time density of lightning. Maps of the distribution of the number of lightning discharges per square kilometer obtained from the initial data and constructed according to the developed equations are presented, and the relevance of the results obtained is evaluated.

The results of the study of the influence of the electric field intensity in the atmosphere on the frequency of exacerbations of cardiovascular diseases are presented on the example of the population of Nalchik. The seasonal trends of reducing both the average tension and the number of ambulance calls for diseases has been revealed. It was obtained that the challenges for disease are grouped into homogeneous factor groups. The group combining hypertensive crisis, cardiovascular diseases and angina pectoris (component 1) has a positive statistically significant dependence on the magnitude of the average daily intensity of the electric field of the atmosphere near the surface of the earth. According to the results of cluster analysis, the days with the maximum dependence between factor 1 and variations of the electric field intensity in the atmosphere were revealed.

Data transformation is a common information processing procedure that can detect features hidden in the data that are not visible in their original form. The article shows some examples of such processing to detect features in the data of long-term observations of the intensity of the surface atmospheric electric field. This uses the data of the EFM 550 field sensor installed in the city of Nalchik. The results are visualized using the Matplotlib Python library to visualize the results of such data processing. The selected data transformation methods are also well suited for machine learning. To demonstrate the possibilities of finding features, several methods of teaching without a teacher are used. It is noted that most of the identified features in the series of measurements of the surface atmospheric electric field are associated with local meteorological phenomena.