Wang Yi, Zhou Qingliang, Dai Kan, Zhang Xiaomei, Liu Xiangwen. 2019: Development and Outlook of Global Data-Processing and Forecasting System. Advances in Meteorological Science and Technology, 9(2): 6-10. DOI: 10.3969/j.issn.2095-1973.2019.02.001
Citation: Wang Yi, Zhou Qingliang, Dai Kan, Zhang Xiaomei, Liu Xiangwen. 2019: Development and Outlook of Global Data-Processing and Forecasting System. Advances in Meteorological Science and Technology, 9(2): 6-10. DOI: 10.3969/j.issn.2095-1973.2019.02.001

Development and Outlook of Global Data-Processing and Forecasting System

  • The Global Data-Processing and Forecasting System (GDPFS) belongs to the World Meteorological Organization(WMO)'s World Weather Watch plan. It is responsible for preparing and making available to the WMO member's meteorological analyses and forecast products. It is organized as a three-level system of the World Meteorological Centers, the Regional Specialized Meteorological Centers and the National Meteorological Centers. This paper introduced the current status of GDPFS and progress of relevant numerical prediction models. The challenges facing the development of GDPFS are analyzed. Combined with the WMO “seamless GDPFS” strategy, it further pointed that seamless prediction includes seamless time-space scale, seamless discipline integration and seamless impact-based forecast. Future development of seamless GDPFS will focus on rolling review of user requirement, advancement of operation led by science and technology, and quality control system. It is expected that GDPFS will provide better information of weather, climate, water and environmental to make better decisions.
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