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

The paper considers the characteristics of cloud convection obtained in the course of computational experiments on the basis of a three-dimensional physical and mathematical model of convective clouds, which takes into account in detail the microphysical processes of nucleation, condensation or sublimation of water vapor, coagulation and accretion of precipitation particles, accumulation of volume electric charges, and an increase in the electric field strength. clouds due to charge separation processes occurring during the rapid freezing of large supercooled drops, accretionary growth of cereals and hailstones. Based on the data of numerical modeling using the noted model, the location in the volume of the microstructural parameters of thunderstorm clouds (water content and ice content), space charges, electric field strength, radar reflectivity in the centimeter range, and other parameters at fixed times of cloud evolution was investigated.

Keywords: convective cloud, cloud microstructure, cloud electricity, numerical three-dimensional model, radar reflectance, electrical coagulation

The paper presents the results of numerical estimates of scattering of a dispersed medium (fog) using thermal and dynamic devices. Numerical modeling methods were used to obtain the results. On the basis of calculations, the use of different classes of combustible substances (kerosene, etc.) was analyzed for thermal dispersion, which is based on heating the air-drop medium to a temperature above the dew point, so that the drops that make up the fog evaporated. Technical devices of various capacities for pumping air from the zone of illumination, that is, using the method of dynamic scattering, are considered. The dynamic method is based on creating a flow of dry air located above the dispersed medium layer. In this case, the drier air coming from above or from the side causes the particles of the dispersed medium to evaporate, which leads to a decrease in its density.

Keywords: dispersed medium, low layered clouds, thermal scattering method, dynamic scattering method, calorific value of substances, zone of enlightenment

The paper presents a description of the developed software for three-dimensional graphics, which is designed to interpret a wide range of geophysical information and modeling data. Information technology is used to visualize data of radar observations of clouds, the results of numerical simulation based on a three-dimensional cloud model. Some features of the program are given. The fixed radar reflectance scale makes it easy to change the display threshold and explore the internal structure of the object sequentially by looking at the nested layers one after another. The functions of creating of horizontal and vertical sections of the object is provided. The program is created using open library OpenGL modules.

Keywords: application software, three-dimensional visualization, cloud parameters, radar reflectivity, simulation data

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

The paper studies the possibility of quantitative processing of the GPR data for determining the dielectric permittivity and conductivity of a medium (soil samples). Experimental studies are made using radargrams of soil samples with specified values of moisture and conductivity. New methods of quantitative processing of radargrams are proposed in this work to determine the dielectric permittivity and conductivity of soils. The methods were successfully tested on various sections of Russian railways net.

Keywords: layered road profiling, GPR, soil moisture, soil layers profiling, soil conductivity

`

Keywords: