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Application scenario
Meteorological Big Data Visualization
As important data for big data construction, meteorological data has long been integrated into the development of various fields such as politics, economy, and people's livelihood. Disaster warning, ecological civilization construction, the Belt and Road Initiative, and important engineering construction all put forward clear needs for the application of meteorological data. At the same time, the meteorological industry has accumulated massive data; the data volume, data types, data diversity, and data update frequency all have very typical big data characteristics. Developing fusion application technology, fully utilizing the data scale advantage of meteorological departments, realizing the deep application of meteorological data as big data, and exploring and releasing the potential value of meteorological data resources have become an important part of the national big data platform, and are urgent measures for current meteorological business development.
Facing challenges
Solution
Overall planning, to build a comprehensive business solution
Meteorological Big Data Visualization
Application value
Meteorological Data Aggregation and Sharing
Realize a multi-source, multi-form, multi-protocol, real-time meteorological data aggregation and integration platform, providing efficient quality-controlled meteorological big data support for the data application of other parts. Form a new pattern in which all parties inside and outside the meteorological department form standardized management, joint construction, and sharing of meteorological big data resources.
Build a Meteorological Big Data Ecosystem
Using the data, intelligent algorithms, and computing resource services provided by the big data platform, the orderly promotion of multi-source big data in diversified meteorological prediction, early warning, service, and scientific decision-making applications can be realized, gradually forming a meteorological data application ecosystem with cross-fusion of business, service, and management. Form a meteorological big data ecosystem, continuously build innovative meteorological big data applications, and truly give play to the application value of meteorological big data. Promote the development of the "meteorological smart brain" based on big data and artificial intelligence technology, which in turn provides new directions and breakthrough points for climate prediction and meteorological change, thereby complementing each other and laying the foundation for win-win cooperation to explore various new meteorological applications in the future.
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