Yang Heping, Zhang Qiang, Luo Bing, et al. Construction and application of Meteorological Integrated Command Platform. J Appl Meteor Sci, 2023, 34(1): 117-128. DOI:  10.11898/1001-7313.20230110.
Citation: Yang Heping, Zhang Qiang, Luo Bing, et al. Construction and application of Meteorological Integrated Command Platform. J Appl Meteor Sci, 2023, 34(1): 117-128. DOI:  10.11898/1001-7313.20230110.

Construction and Application of Meteorological Integrated Command Platform

DOI: 10.11898/1001-7313.20230110
  • Received Date: 2022-08-27
  • Rev Recd Date: 2022-11-21
  • Publish Date: 2023-01-31
  • 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.
  • Fig. 1  Design of Meteorological Integrated Command Platform

    Fig. 2  Data storage and service process

    Fig. 3  Meteorological service interface for opening ceremony of 2022 Beijing Winter Olympic Games and Winter Paralympic Games

    Fig. 4  Meteorological support on multi-source live comparison for 2022 Beijing Winter Olympic Games and Winter Paralympic Games

    Fig. 5  Meteorological support on integrated analysis of real-time prediction for 2022 Beijing Winter Olympic Games and Winter Paralympic Games

    Fig. 6  Meteorological support on one map service for 2022 Beijing Winter Olympic Games and Winter Paralympic Games

    Table  1  List of products integrated on the platform

    单位 产品
    北京局市气象局/河北省气象局/陕西省气象局 冬奥自动站实况数据:分钟级更新产品(气温、气压、雨量、风向、风速、相对湿度、雪面温度、总辐射、紫外辐射、能见度、积雪深度、天气现象等)
    FDP场馆预报产品:两地三赛区的29个冬奥保障场馆的站点小时预报及格点预报
    三维可视化产品:针对延庆、张家口室外场馆,构建三维立体模型,还原真实气象保障场景
    特种观测:天脸、拉曼激光雷达、云高仪、雨滴谱、风廓线、微波辐射计、激光测风等
    国家气象中心 国家级格点预报指导产品:气温
    国家级格点预报指导产品:风
    国家级格点预报指导产品:相对湿度
    国家卫星气象中心 风云卫星观测产品:FY-4A真彩图、FY-4A水汽图、FY-4B真彩图
    风云卫星超分产品:风云融合可见光、风云红外超分图
    风云卫星视频流:真彩、可见光、红外
    空间天气产品
    国家信息中心 实况分析网格产品:全球10 km、中国5 km、中国1 km、冬奥局地100 m产品
    气象要素历史统计产品:1991—2020年地面气候平均值
    基础信息一张图:高精度卫星影像图层(卫星中心提供)、隐患点(易燃易爆、内涝等)、交通信息(机场、高铁等)等1105种图层产品
    中国气象局气象探测中心 全国雷达拼图产品:全国雷达拼图10 min更新产品
    中国气象局公共气象服务中心 全国预警产品:近3 h, 6 h, 12 h, 24 h全国预警产品
    中国气象局人工影响天气中心 人影联动服务产品
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  • [1]
    Chen M X, Gao F, Kong R, et al. Introduction of auto nowcasting system for convective storm and its performance in Beijing Olympics meteorological service. J Appl Meteor Sci, 2010, 21(4): 395-404. doi:  10.3969/j.issn.1001-7313.2010.04.002
    [2]
    Feng H Z. Experience Exchange of "5·12" Earthquake Relief Meteorological Forecast Service in Wenchuan. National Seminar on Severe Weather Forecast Technology, 2008.
    [3]
    Wang H W. From the South China snowstorm on the future development of emergency management. Safety and Security, 2008, 29(3): 1-5. https://www.cnki.com.cn/Article/CJFDTOTAL-ANQU200803005.htm
    [4]
    Liu T M. The significance of emergency preparedness highlighted by Yushu earthquake once again. Journal of Safety Science and Technology, 2010, 6(2): 3. https://www.cnki.com.cn/Article/CJFDTOTAL-LDBK201002003.htm
    [5]
    Liu T, Duan Y H, Feng J N, et al. Characteristics and mechanisms of long-lived concentric eyewalls in Typhoon Lekima in 2019. J Appl Meteor Sci, 2021, 32(3): 289-301. doi:  10.11898/1001-7313.20210303
    [6]
    Chyi D, He L F, Wang X M, et al. Fine observation characteristics and thermodynamic mechanisms of extreme heavy rainfall in Henan on 20 July 2021. J Appl Meteor Sci, 2022, 33(1): 1-15. doi:  10.11898/1001-7313.20220101
    [7]
    Zhao F, Xiong A Y, Zhang X Y, et al. Technical characteristics of the architecture design of China integrated meteorological information sharing system. J Appl Meteor Sci, 2017, 28(6): 750-758. doi:  10.11898/1001-7313.20170610
    [8]
    Tilkov S, Vinoski S. Node. js: Using JavaScript to build high-performance network programs. IEEE Internet Comput, 2010, 14(6): 80-83.
    [9]
    Congote J, Segura A, Kabongo L, et al. Interactive Visualization of Volumetric Data with WebGL in Real-time//International Conference on 3d Technologies for the World Wide Web. DBLP, 2011: 137.
    [10]
    Sprott D. Enterprise resource planning: Componentizing the enterprise application packages. Communications of the ACM, 2000, 43(4): 63-69.
    [11]
    Ma Q, Yan J H, Wei M, et al. Implementation and application of BCC CMIP6 experimental data sharing platform. J Appl Meteor Sci, 2022, 33(5): 617-627. doi:  10.11898/1001-7313.20220509
    [12]
    Lewis G, Echeverría S, Simanta S, et al. Tactical Cloudlets: Moving Cloud Computing to the Edge//IEEE Military Communications Conference, 2014: 1440-1446.
    [13]
    Hengl T, Heuvelink G, Rossiter D G. About regression-kriging: From equations to case studies. Computers & Geosciences, 2007, 33(10): 1301-1315.
    [14]
    Huang L P, Deng L T, Wang R C, et al. Key technologies of CMA-MESO and application to operational forecast. J Appl Meteor Sci, 2022, 33(6): 641-654. doi:  10.11898/1001-7313.20220601
    [15]
    Zhang L, Li F, Wu L, et al. Non-precipitation identification technique for CINRAD/SAD dual polarimetric weather radar. J Appl Meteor Sci, 2022, 33(6): 724-735. doi:  10.11898/1001-7313.20220607
    [16]
    Liu H Z, Xu H, Bao H J, et al. Application of machine learning classification algorithm to precipitation-induced landslides forecasting. J Appl Meteor Sci, 2022, 33(3): 282-292. doi:  10.11898/1001-7313.20220303
    [17]
    Guan L, Dai J H, Tao L, et al. Application of QVP method to winter precipitation observation based on polarimetric radar. J Appl Meteor Sci, 2021, 32(1): 91-101. doi:  10.11898/1001-7313.20210108
    [18]
    Qiu K M. FY-2 geostationary meteorological satellite system and its application prospect. J China Space Science and Technology, 1994, 14(3): 3. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGKJ403.004.htm
    [19]
    Xie S, Sun X G, Zhang S P, et al. Precipitation forecast correction in South China based on SVD and machine learning. J Appl Meteor Sci, 2022, 33(3): 293-304. doi:  10.11898/1001-7313.20220304
    [20]
    Zhang H T, Xu C S, Wang J L. Design and implementation of flood-prevention and dispatch command system of web based on B/S and C/S. Journal of Nanjing Normal University (Engineering and Technology), 2005, 5(4): 5. https://www.cnki.com.cn/Article/CJFDTOTAL-NJSE200504022.htm
    [21]
    Yang H P, Zhang Z Q, Yang M, et al. Design and development of online visualization platform for meteorological grid data. J Computer Engineering and Applications, 2019, 55(18): 207-211. https://www.cnki.com.cn/Article/CJFDTOTAL-JSGG201918033.htm
    [22]
    Shen W H. Discussion on the future infrastructure of meteorological business information system-The role of "cloud computing" and "big data" in meteorological informatization. Adv Meteor Sci Tech, 2015, 5(3): 3. https://www.cnki.com.cn/Article/CJFDTOTAL-QXKZ201503013.htm
    [23]
    Wang R T, Wang J M, Huang X D, et al. The architecture design of MICAPS4 Server System. J Appl Meteor Sci, 2018, 29(1): 1-12. doi:  10.11898/1001-7313.20180101
    [24]
    Yang M, Chen Y F, Chen Q, et al. Exploration and application of meteorological data storage method based on cloud data storage. Meteor Sci Technol, 2017, 45(6): 1017-1021. https://www.cnki.com.cn/Article/CJFDTOTAL-QXKJ201706011.htm
    [25]
    Xia D, Xie X, Yang X. Web GIS Server Solutions using Open-source Software. IEEE International Workshop on Open-source Software for Scientific Computation, 2010.
    [26]
    Jan J F. Digital Heritage Inventory Using Open Source Geospatial Software//22nd International Conference on Virtual System & Multimedia(VSMM), 2016: 1-8.
    [27]
    Baron C A. NoSQL key-value DBs riak and redis. Database Systems Journal, 2015, 6(4): 3-10.
    [28]
    Vitolo C, Elkhatib Y, Reusser D, et al. Web technologies for environmental big data. J Environmental Modelling & Software, 2015, 63: 185-198.
    [29]
    Yang H P, Sun Y R, Chen N, et al. Quick compression and transmission of meteorological big data in complicated visualization systems. J Complexity, 2022, 2022(3): 1-9.
    [30]
    Mai D, Chen T, Liang Z W. Lightweight response framework Vue. js application analysis. J Information and Computer, 2017(7): 58-59. https://www.cnki.com.cn/Article/CJFDTOTAL-XXDL201707023.htm
    [31]
    Li M, Hu J, Lin X. The Development of Web Application Front-End of Intelligent Clinic Based on Vue. js//Chinese Intelligent Automation Conference. J Springer, Singapore, 2019: 683-690.
    [32]
    Huang Z, Xu Z. A Method of Using Geoserver to Publish Econ- omy Geographical Information//International Conference on Control, J Automation and Systems Engineering(CASE). IEEE, 2011: 1-4.
    [33]
    Velasco L, Gifre L, Izquierdo-Zaragoza J L, et al. An architecture to support autonomic slice networking. Journal of Lightwave Technology, 2017, 36(1): 135-141.
    [34]
    Angel E, Haines E. An Interactive Introduction to WebGL and three. JS. ACM SIGGRAPH 2017 Courses, 2017.
    [35]
    Li Y, Wang G F. Design and implementation of Meteorological Disaster Risk Management System. J Appl Meteor Sci, 2022, 33(5): 628-640. doi:  10.11898/1001-7313.20220510
    [36]
    Wang J L, Song B, Ding R. Node. js: A new technology to build Web application. J Modern Electronic Technology, 2015, 38(6): 4. https://www.cnki.com.cn/Article/CJFDTOTAL-XDDJ201506021.htm
    [37]
    Hok T, Park C, Yoo K H. System Architecture for Supporting Multiple Live Actors in Web3D Virtual Conference//25th International Conference on 3D Web Technology, 2020: 1-4.
    [38]
    Li D Z, Zhang C S, Lang X W, et al. High-speed railway infrastructure on-line monitoring system based on WebSocket and ArcGIS Server. J Computer Systems and Applications, 2016, 25(2): 38-44. https://www.cnki.com.cn/Article/CJFDTOTAL-XTYY201602006.htm
    [39]
    Rasheed A, San O, Kvamsdal T. Digital twin: Values, challenges and enablers from a modeling perspective. IEEE Access, 2020, 8: 21980-22012.
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    • Received : 2022-08-27
    • Accepted : 2022-11-21
    • Published : 2023-01-31

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