Li Jiming, Shen Wenhai, Wang Guofu. Meteorological information sharing service platform and its key technologies. J Appl Meteor Sci, 2006, 17(5): 621-628.
Citation: Li Jiming, Shen Wenhai, Wang Guofu. Meteorological information sharing service platform and its key technologies. J Appl Meteor Sci, 2006, 17(5): 621-628.

Meteorological Information Sharing Service Platform and Its Key Technologies

  • Received Date: 2006-06-08
  • Rev Recd Date: 2006-08-07
  • Publish Date: 2006-10-31
  • Meteorological sharing service system platform is a functional intensive system. Its function mainly concentrates on the "share of the information", and provides the convenient and quick sharing service on the meteorological information for all kinds of the users in various fields and of various levels. The intensivism of the system means the intensive administration of systematic data on meteorology of different origins and characteristics by using unified data standard and criterion. It also means to have the highly efficient collocation under the unified top layer devise by using the essential information establishment efficiently, such as the computers.Meteorological sharing service system platform has characteristics of the structure with system of different levels on the aspects of layout, functional logic and the storage administration, etc. The key technologies of the sharing platform of the meteorology include metadata, data grid, mass storage and the data mining. Among the above four techniques, metadata technique is the basic technique of the information administration, discovery and exchange. Mass storage is the supportive technique which efficiently organizes and fully makes use of computer and storage equipment. Data grid technique organically integrates the metadata and the mass storage into one unified frame. Data mining technique is a kind of practical technique which provides the users with the relevant and valuable information based on the mass data. At the same time, the requirement of setting up the database around the subject that it puts forward depends on the practical performance of the former three techniques.Meteorological sharing service system platform has two characteristics. One is to provide the various users with the usage of the information sharing resources. The other is to integrate the mass information sources, diverse information resources and separate information resources. The comprehensive usage of the metadata, mass storage and the data mining by the framework of the data grid is the major current of the technical development in establishing the sharing platform. The national meteorological data storage system and the meteorological scientific data sharing system which are now under development, provide an available attempt for the establishment of the sharing platform of meteorology information on the aspects of classified storage administration of the mass information and the integration of the distributing sharing node based on the metadata.
  • [1]
    秦大河, 孙鸿烈.中国气象事业发展战略研究———总论卷.北京:气象出版社, 2005: 26-27.
    [2]
    WMO. The Future WMO Information System Concept. 2003: 2-6.
    [3]
    孙九林, 施慧中.科学数据管理与共享.北京:中国科学技术出版社, 2002: 369-371.
    [4]
    王延章, 李强.基于元数据的电子政务数据交换的研究.计算机工程与应用, 2003, 39(28): 4-6. http://www.cnki.com.cn/Article/CJFDTOTAL-JSGG200328061.htm
    [5]
    李晓波, 祝孔强, 贾光宇, 等.科学数据共享技术平台构想.中国基础科学, 2003, (1): 52-54. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGJB200301010.htm
    [6]
    马永征, 南凯, 阎保平.基于MDS的数据网格信息服务体系结构.微电子学与计算机, 2003, (8): 1-3. http://www.cnki.com.cn/Article/CJFDTOTAL-WXYJ200308006.htm
    [7]
    沈文海, 赵芳, 高华云, 等.国家级气象资料存储检索系统的建立.应用气象学报, 2004, 15(6): 727-736. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20040690&flag=1
    [8]
    王国复, 李集明, 邓莉, 等.中国气象科学数据共享服务网总体设计与建设.应用气象学报, 2004, 15(增刊): 10-16. http://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFD2004&filename=YYQX2004S1002&v=MDkxNzVuVnIzTFBEVGFkckc0SHRXdnJvOUZab1I4ZVgxTHV4WVM3RGgxVDNxVHJXTTFGckNVUkwyZlpPVnVGeWo=
    [9]
    王意洁, 肖侬, 任洁.数据网格及其关键技术研究.计算机研究与发展, 2002, 39(8):943-947. http://www.cnki.com.cn/Article/CJFDTOTAL-JFYZ200208011.htm
    [10]
    牛云, 徐庆, 辛阳, 等.数据备份与灾难恢复.北京:机械工业出版社, 2004.
    [11]
    刘秋生.数据库技术及其应用.南京:东南大学出版社, 2003.
    [12]
  • 加载中
  • -->

Catalog

    Figures(5)

    Article views (4285) PDF downloads(2284) Cited by()
    • Received : 2006-06-08
    • Accepted : 2006-08-07
    • Published : 2006-10-31

    /

    DownLoad:  Full-Size Img  PowerPoint