Інформаційна технологія аналізу та передбачення опадів

Abstract

Master's qualification work: 96 pages, 7 tables, 69 pictures, 20 sources. The object of research – the process of precipitation prediction based on the analysis of previous meteorological data. The purpose of the work – improving the accuracy of forecasting the presence of precipitation through the using of information technology, machine learning and analytical data processing. The history of development of weather forecasting was considered, the analysis of existing technologies of analysis and forecasting of precipitations was investigated. The dataset was formed for further development based on the data from the Vinnytsia Regional Center for Hydrometeorology. The development of information technology through comparative analysis of possible tools and means for implementation. The technology of analysis and prediction of precipitation on the basis of a pre-formed dataset was implemented and tested. Estimated assumptions about the development of the object of study – the development of information technology for analysis and prediction of precipitation, which will read and write indicators from meteorological instruments and satellite receivers in real time and make their immediate processing and analysis, increase the amount of data for training and increase the accuracy of the model. Scope of application – information technologies aimed at analyzing and predicting weather conditions in the local area.