Meteorological data numerical forecasting cloud sharing platform and data sharing method

Abstract

The invention provides a meteorological data numerical forecasting cloud sharing platform comprising a shared service platform for transmitting, processing, storing and sharing numerical forecasting massive data; a public intelligence platform for implementing model development and release technology; and a sub-center platform for implementing localized data processing and accessing a processing result by a user. The invention further discloses a data sharing method. According to the meteorological data numerical forecasting cloud sharing platform and the data sharing method provided by the invention, around the core target of improving the accuracy and refinement level of numerical forecasting, demand traction is maintained, innovation driving is strengthened, and an intensive numerical forecasting grid data application business system with regional high-resolution numerical forecasting system as the core is established in an intensive and standardized development mode by using the cloud technology, the mass data, the internet +, intelligence and other information techniques.

Description

technical field [0001] The invention relates to the field of cloud technology and meteorological data analysis, in particular to a cloud sharing platform and data sharing method for numerical forecasting of meteorological data. Background technique [0002] For a long time, the transmission of massive data for numerical forecasting has been a difficult problem in business operation. This not only restricts the application range of high-level and high-resolution business models, but also prevents national forecasters from analyzing and forecasting on the same level of national platform, and the forecasting capabilities of various regions show large differences; it also indirectly affects the intensive numerical forecasting The national strategy of globalized development has made the development of the regional model in a relatively disordered, small and incomplete state, with serious low-level redundant construction. [0003] Looking at the new trends in the development of i...

AI Technical Summary

Problems solved by technology

This not only restricts the application range of high-level and high-resolution business models, but also prevents national forecasters from analyzing and forecasting on the same level of national platform, and the forecasting capabilities of various regions show large differences; it also indirectly affects the intensive numerical forecasting The national strategy of globalized development has made the development of the regional model in a relatively disordered, small and incomplete state, and the reality of low-level redundant construction

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