应用气象学报 (Jan 2023)

Construction and Application of Meteorological Integrated Command Platform

  • Yang Heping,
  • Zhang Qiang,
  • Luo Bing,
  • Chen Nan,
  • Deng Xin,
  • Zhang Zhiqiang,
  • Sun Chao,
  • Chen Jinghua,
  • Zhao Yufei,
  • Li Xiaoru,
  • Guo Cong,
  • Chen Jie,
  • Li Moyu

DOI
https://doi.org/10.11898/1001-7313.20230110
Journal volume & issue
Vol. 34, no. 1
pp. 117 – 128

Abstract

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Meteorological support is demanded during major events, sudden meteorological disasters and flood season consultation services. In traditional way, each department reports and displays the products one by one, which limits operational coordination, interaction and the benefits of real-time support. To improve the service, an integrated command platform for meteorology is built by adopting technologies such as hybrid storage, interface service and layer component release. The platform couples standardized processing of multi-source data, integrated construction of functions, layer rendering and other components loosely. It is based on the meteorological big data cloud platform of China Meteorological Administration, releasing meteorological products such as satellite, radar measurements, real-time and intelligent forecasts. A hybrid integrated application framework is developed for traditional structured data storage, geographic information spatial storage, index storage (Elasticsearch) and page cache storage (Redis), and provides efficient retrieval services. At the same time, the transmission component integrates high and low 8-bit compression and concurrent transmission technology of multiple domain name to improve efficiency. In the aspect of page interaction and visualization, based on NPM (package management tool of JavaScript language), Vue components, WebGL visualization and other front-end technologies, a component-based encapsulation and application service mode is constructed, which gives full play to the high collaboration between cloud computing and edge computing of server and client (browser), supports fast data switching and navigation between different meteorological elements at any geographic location, and provides support for unified access, dispatching and command of multi-source data in various meteorological support services. At present, the platform integrates 113 meteorological products and 1106 layer services, effectively supporting major national meteorological support services such as 2022 Beijing Winter Olympic Games and Winter Paralympic Games.

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