ANALYSIS OF CLIMATIC CONDITIONS WITH THE APPARATUSOF THE MATRIX OF TRANSITION PROBABILITIES
The scientific work considers random processes of changing input values in mathematical modeling of climatic conditions of the external environment. As random processes, precipitation, changes in air temperature and relative air humidity over time were considered. Using the tool of transition probability matrices, an analysis of the above climatic conditions was made. In the lines of the matrix of transition probabilities, one can see the internal structure and properties of random processes, in connection with this, when analyzing the external environment or when considering climate change, it is recommended to use the technique of transition probability matrices, which as a result gives a quantitative and qualitative picture of the considered random processes. The scientific work considers random processes of changing input values in mathematical modeling of climatic conditions of the external environment. As random processes, precipitation, changes in air temperature and relative air humidity over time were considered. Using the tool of transition probability matrices, an analysis of the above climatic conditions was made. In the lines of the matrix of transition probabilities, one can see the internal structure and properties of random processes, in connection with this, when analyzing the external environment or when considering climate change, it is recommended to use the technique of transition probability matrices, which as a result gives a quantitative and qualitative picture of the considered random processes. The analysis made by means of transition probability matrices in connection with the quantitative and qualitative assessment of the data allows us to conclude that the distribution law of the probability of climatic conditions differs significantly from the normal distribution law, therefore, characterizing it only by the first two moments as the mathematical expectation and dispersion does not give a complete picture. It is also impossible to use the arithmetic mean as a characteristic of the "average" year, because its probability will be less than 50%. In this regard, this scientific work is devoted to the analysis of meteorological data using transition probability matrices.