RESEARCH AND DEVELOPMENT METHODS OF A SOFTWARE SYSTEM FOR THE INTEGRATED ANALYSIS OF METEOROLOGICAL DATA

2023

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DOI 10.52167/1609-1817-2023-126-3-292-305
Data confidence 70 medium
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Abstract

This article offers an overview and analysis of the study conducted by foreign and domestic scientists on the research and development of a software system for the integrated analysis of meteorological data, as well as the results of our own study. The purpose of this article is to demonstrate the effectiveness of using a software tool such as Big Data in the development of algorithms for analyzing meteorological data. In this regard, the article outlines the main areas of scientific research by programmers, highlights the role of information and computing technologies in the processing and analysis of meteorological data, and indicates the prospects for research in this area using a software tool such as Big Data. The scientific and practical significance of this work is to increase the efficiency of the performance of meteorological stations in the integrated processing of meteorological data. Mathematical methods were employed in this study. The main results, analysis, and conclusions of the research work are presented in the content of this article. The value of the study, in our opinion, makes a significant contribution to the development of the field of knowledge in computer technology and software.