Weather forecasting using big data

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Latafat Gardashova
Shahnaz Jabrayilova

Abstract

The use of big data in weather forecasting is examined in this article. Large and complicated data collections that can be examined to find patterns, trends, and relationships are referred to as "big data." Big data has become more crucial to weather forecasting in recent years since it can offer insightful information about weather trends and boost forecasting precision. The difficulties of using large data for weather forecasting are discussed in the article along with the methods for processing and analyzing it. It also offers case studies that show how big data has increased the precision of weather forecasts. The paper concludes by highlighting the potential advantages of big data in weather forecasting and by discussing its future applications. Big data can be used to improve weather predictions.


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How to Cite
Gardashova, L., & Jabrayilova, S. (2023). Weather forecasting using big data. Scientific Collection «InterConf+», (32(151), 629–634. https://doi.org/10.51582/interconf.19-20.04.2023.067

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