Abstract
With the acceleration of meteorological informationisation, meteorological data has gradually become a typical industry big data. In view of the challenge of storage, index and processing, cloud computing technology provides the technical support for meteorological big data. We design a framework of meteorological big data service in the cloud computing environment which contains meteorological services, meteorological scientific research services and public meteorological services. As the most popular distributed processing technology, MapReduce is effectively used for distributed processing of meteorological big data. Finally, based on MapReduce, the daily meteorological data of Baoshan Station in Shanghai is analysed, and the statistical results and corresponding examples are provided. The application research of meteorological big data in the cloud environment can not only improve the overall meteorological service level, but also play a significant role in accelerating the meteorological informatisation process in the big data era.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Intelligent Internet of Things Computing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
