Impact and Challenges of Intelligent IoT in Meteorological Science
Source of Publication
IEEE Internet of Things Magazine
The abundant data in meteorological science has facilitated applying big data techniques. The data collection was achieved by researchers using different atmospheric sounding methods in the past few decades. Compared with traditional methods, such as statistical forecast approaches and numerical weather prediction, intelligent Internet of Things (IoT) technologies have attracted extensive attention in meteorological science due to their significant advantages in data processing and analysis. In addition, extreme weather events and meteorological disasters have occurred frequently around the world in recent years. Against this background, this article aims to introduce the application of intelligent IoT technologies in meteorological science and elaborate the encountered open problems as well as the challenges in the future. Along with the introduction of intelligent IoT, a comprehensive review of current studies on meteorological observation, forecast, and services with intelligent IoT is provided. Correspondingly, the impact of intelligent IoT on meteorological businesses is analyzed. Finally, as for the meteorological operations in IoT based on artificial intelligence (AI), some open research issues, countermeasures and future potential research directions are put forward.
Institute of Electrical and Electronics Engineers (IEEE)
Intelligent IoT, Meteorological science, Big data techniques, Extreme weather events
Chen, Yi; Hayawi, Kadhim; He, Jianxin; Song, Huanhuan; and Wang, Jiarui, "Impact and Challenges of Intelligent IoT in Meteorological Science" (2023). All Works. 5892.
Indexed in Scopus