PRACTICAL ASPECTS OF APPLICATION OF METEOROLOGICAL WEATHER PREDICTION MODELS FOR THE NEED OF AGRICULTURAL SECTOR OF ECONOMY

Different aspects of the application of short-term and long-term meteorological forecasting in the work of agricultural companies of different scales were investigated in this paper. Systematic assessment and consideration of weather factors in the work of agricultural companies of various scales is very important on the way to effective management and increase profits, especially in today's climate change. The use of existing global meteorological models does not always allow to obtain a detailed and qualitative forecast for individual areas, which is important for assessing the impact of weather on crops. The advantages of using the mesoscale Weather Research and Forecasting Model (WRF) for agricultural companies are considered. The results of short-term and medium-term WRF modeling can be used by agricultural campaigns to assess the potential negative impact of weather conditions on crops, as well as in preventive decisions to reduce the negative impact of extreme weather events on crops. The problem of the need for significant computing resources for mesoscale modeling can be solved by using commercial Cloud platforms, which are more cost-effective than purchasing high-performance computer systems (HPC). The scheme of application of short-term and medium-term weather forecasting in agricultural companies by realization of mesoscale modeling with Weather Research and Forecasting Model (WRF) and with application of cloud technologies was developed. The result of the proposed scheme are graphic products of meteorological quantities and weather maps of the modeling area (where crops are located), which is a ready product for analysis by agricultural companies for further agricultural and technical decision making process.