Abstract
With massive semi-structured meteorological big data as the research object, based on the mathematical model of the research object and the general architecture design of the system, a real-time visualization and analysis processing engine for meteorological big data is constructed; a fast data processing algorithm based on precise location is designed and implemented, and a persistent storage model suitable for the business characteristics of meteorological numerical forecast products is innovatively proposed based on the common NetCDF technology. This paper has built a visualization conversion algorithm for forecast elements and realized real-time analysis and processing of product visualization based on multi-loop visualization product generation and adaptation technology. Now the engine has been applied commercially in the meteorological numerical forecast product processing system of Guangdong Province, generating nearly 300,000 visualized graphic products per day, which plays a positive social benefit in the meteorological decision analysis business and meteorological sensitive social industries.
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