This article discusses the issue of the features of measuring and predicting changes in the surface electric field strength in the atmosphere. The results of measurements of the atmospheric electric field strength are presented. The possibilities of forecasting changes in the surface electric field strength, including the use of numerical models, as well as the use of measurement results as an indicator of dangerous weather phenomena, are considered. The prospects of using the prediction of variations in the surface electric field intensity to predict adverse weather events and the importance of monitoring the intensity of the atmospheric electric field for understanding global climate change processes and the impact of the electric field on human health and the environment are discussed. For the research, a model was created that allows predicting electric field variations based on meteorological data. The developed neural network has shown good results. It is demonstrated that the use of neural networks can be an effective approach for predicting the parameters of the electric field of the surface layer of the atmosphere. In further research, it is planned to expand the measurement area by including additional parameters such as temperature, pressure and humidity in the analysis, as well as using more complex machine learning models to improve the accuracy of forecasts. In general, the results show that machine learning models can be effective in predicting variations of the electric field in the surface layer of the atmosphere. This can have practical applications in various fields such as aeronautics, meteorology, geology and others. Further research in this area contributes to the development of new methods and technologies in the field of electric power and communications and to improving our knowledge about the nature of the impact of atmospheric electrophysical phenomena on the environment and human health.

Keywords: electric field, surface layer of the atmosphere, measurements, methods, forecasting, modeling of variations in field strength

The paper considers a data visualization model of numerical simulation of a convective cloud. Data visualization is used for visual representation and analysis of processes in a convective cloud. New methods and approaches to visualization of results based on modern technologies and algorithms, such as real-time visualization and the use of calculations on GPUs. An approach to automating the process of rapid qualitative analysis are presentedThe paper aims to create a specialized software for three-dimensional visualization. This software is used for tasks related to the study of complex processes of interaction of processes in a convective cloud based on a numerical model with detailed microphysics.The article considers a data visualization model for numerical simulation of a convective cloud. Data visualization is used for visual representation and analysis of processes in a convective cloud. New methods and approaches to visualization of results based on modern technologies and algorithms, such as real-time visualization and the use of calculations on graphics processors, are presented. The approach to automating the process of rapid qualitative analysis of numerical simulation data is to create specialized software for three-dimensional visualization. This software is used for tasks related to the study of complex processes of interaction of processes in a convective cloud based on a numerical model with detailed microphysics.

Keywords: application program, three-dimensional visualization, numerical simulation data, machine graphics, visualization model, cloud parameters, modeling

During the year, depending on the latitude and climatic zone, the number of thunderstorms and their intensity vary greatly, these parameters decrease to the Northern latitudes due to a decrease in humidity and temperature and, accordingly, a decrease in the probability of forming conditions for the formation of convective and thunderstorm clouds. The article deals with the mechanisms of dangerous effects of lightning discharges. The electric parameters of the discharges for thunderstorm processes in the atmosphere were studied using data from the geophysical monitoring center of the FGIBU "VGI", which includes a network of sensors of the automatic thunder-gauge finder - the range finder LS8000. The results of the analysis of the recording of ground-discharge currents and the time of their growth obtained during the period of its operation are presented. The authors determined the statistical distributions of the lightning current amplitude. It is established that the discharge parameters in different regions differ and can change with time. This means that for the effective operation of lightning protection systems and the implementation of measures to ensure life safety during thunderstorms, it is necessary to monitor the lightning situation in each individual region.

Keywords: atmospheric electricity, lightning discharges, lightning guides, lightning protection measures, life safety

In the article, the use of digital processing to improve the quality of data obtained using the sensor network field strength measurements EFM550 production company "Vaisala" working with the hardware-software complex in the centre of geophysical monitoring of the situation over the southern region of the Russian Federation fgbu "high-mountain geophysical Institute". Explores the possibility of using Kalman filtering to Refine the data instrument measurements of the electric field of the atmosphere. A comparative analysis of the obtained stroke data of the electric field before and after filtering.

Keywords: the electric field of the atmosphere, measuring the strength of the electric field of the atmosphere, digital filtering, Kalman filtering, mathematical processing of measurement data

Forecast moving thunderstorm cells requires the introduction of modern methods of operational data coming to the workstations in reception centers. For the current forecast weather phenomena emerging need to isolate and analyze the movement of thunderstorm cells according to the lightning detection. For these purposes, developed and improved methods for isolation and maintenance, based on the mathematical apparatus of computer vision.

Keywords: contour analysis, cluster analysis, hazardous weather phenomena, the current forecast, meteoradiolokatsiya, lightning detection, storm pockets