Abstract
The National Meteorological Center initially completed the construction of the Medium-Extended-Range Weather Forecast (MERWF) operational system in 2018. The system uses browser/server system architecture to support concurrent operation of hundreds of terabyte real-time and historical data, through the introduction of large data core technologies such as distributed storage and distributed computing. The key technical problem of MERWF, which is the fusion of real-time data and historical data, is solved. It greatly improves the efficiency of data access and display, and realizes the development of MERWF technology products based on the big data analysis and the effective extraction of predictable information. Based on big data analyses, an application technology system of MERWF is then established for the first time in national business department, to meet the objective and intelligent needs of modern meteorological business.
Supported by the National Science and Technology Support Program of China (2015BAC03B07).
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Li, Y., Huang, W., Hu, Z., Qin, H., Xu, M. (2019). Medium-Extended-Range Weather Forecast Based on Big Data Application. In: Sun, S., Fu, M., Xu, L. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2018. Lecture Notes in Electrical Engineering, vol 550. Springer, Singapore. https://doi.org/10.1007/978-981-13-7123-3_61
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DOI: https://doi.org/10.1007/978-981-13-7123-3_61
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