Mathematical-cartographic modeling of climate dynamics in the Rostov region using global meteorological data

The scientific work presents mathematical and cartographic modeling of the climate dynamics of the Rostov region using the global meteorological product CRU TS version 4.06 in the period from 2020 to 2040. The work used CRU TS global climate data from 1960 to 2020 to model data for 2030 and 2040. A technique for mathematical-cartographic modeling of climate dynamics based on global climate products is presented. Using the geographic information system QGIS version 3.18, raster images were vectorized, which made it possible to export them to a MS Excel spreadsheet. Based on the data obtained, 2 tables were prepared. One includes actual data for 2020 and modeling data in terms of the average annual air temperature for 2030 and 2040 for the municipal districts of the Rostov region. The second table includes actual data for 2020 and simulation data in terms of the average annual air temperature for 2030 and 2040 for the urban districts of the Rostov region. The relationship between actual data for 2020 and data for 2030 and 2040 does not exceed 10%. This allows us to say that a stable climate has been established on the territory of the Rostov region, which is not subject to serious climatic changes in the future. According to the actual data and simulation data, maps were created and compiled using the interpolation method of inversely weighted distances in terms of the average annual air temperature for 2020, 2030, and 2040.