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Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2–4, 2023, Nanchang, China

Research Article

Reflections on the Global Development of Meteorological Technology in the Digital Era

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  • @INPROCEEDINGS{10.4108/eai.2-6-2023.2334656,
        author={Xuejun  Wei},
        title={Reflections on the Global Development of Meteorological Technology in the Digital Era},
        proceedings={Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2--4, 2023, Nanchang, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2023},
        month={8},
        keywords={meteorological data; cloud services; numerical mode; globalization},
        doi={10.4108/eai.2-6-2023.2334656}
    }
    
  • Xuejun Wei
    Year: 2023
    Reflections on the Global Development of Meteorological Technology in the Digital Era
    ICIDC
    EAI
    DOI: 10.4108/eai.2-6-2023.2334656
Xuejun Wei1,*
  • 1: Wuhai Meteorological Bureau of Inner Mongolia Autonomous Region
*Contact email: weixj03@163.com

Abstract

Meteorological technology adapts to the development of globalization, responds quickly to changes in user needs, and also adapts to market changes in the digital age. In the development process of information globalization characterized by "cloud, object, mobile, large, and intelligent", in accordance with national development strategies, we vigorously develop a digital based global meteorological model. The digitization of meteorological technology digitizes all links related to atmospheric movement in all regions of the world, enabling all meteorological data forms related to weather and climate integration to be timely perceived and accurately quantified, Numerical mode scientific algorithms can accurately predict future weather trends or achieve simulation interactive display, making the meteorological industry invincible in the fierce international competition.

Keywords
meteorological data; cloud services; numerical mode; globalization
Published
2023-08-02
Publisher
EAI
http://dx.doi.org/10.4108/eai.2-6-2023.2334656
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