Advances in Earth Science ›› 2016, Vol. 31 ›› Issue (10): 1090-1104. doi: 10.11867/j.issn.1001-8166.2016.10.1090

• Orginal Article • Previous Articles    

Development and Application of the Chinese Global Operational Oceanography Forecasting System

Hui Wang 1, 2( ), Liying Wan 1, 2, Yinghao Qin 1, *( ), Yi Wang 1, Xuelian Yang 1, Yang Liu 1, Jianyong Xing 1, Li Chen 1, Zhanggui Wang 1, Tianyu Zhang 1, Guimei Liu 1, Qinghua Yang 1, Xiangyu Wu 1, Qinyan Liu 3, Dongxiao Wang 3   

  1. 1.National Marine Environmental Forecasting Center,Beijing 100081, China
    2.Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Beijing 100081, China
    3.State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
  • Received:2016-07-10 Revised:2016-09-12 Online:2016-10-20 Published:2016-10-20
  • Contact: Yinghao Qin E-mail:wangh@nmefc.gov.cn;qinyh@nmefc.gov.cn
  • About author:

    First author:Wang Hui(1962-), male,Suixi City, Anhui Province, Professor. Research areas include ocean forecasting, operational oceanography and ocean dynamics.E-mail:wangh@nmefc.gov.cn

    *Corresponding author:Qin Yinghao(1983-), male, Jiaozuo City, Henan Province,Associate professor. Research areas include data assimilation, numerical simulation and ocean forecasting.E-mail:qinyh@nmefc.gov.cn

  • Supported by:
    Project supported by the National Natural Science Foundation of China “Spatial and temporal variability of sub-surface temperature in the three kinds of Pacific Ocean warming events and associated dynamic mechanisms”(No.41406042);The State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology Chinese Academy of Sciences “Salinity variability in the three kinds of Pacific Ocean warming events using a global ocean data assimilation system”(No.LTO1303)

Hui Wang, Liying Wan, Yinghao Qin, Yi Wang, Xuelian Yang, Yang Liu, Jianyong Xing, Li Chen, Zhanggui Wang, Tianyu Zhang, Guimei Liu, Qinghua Yang, Xiangyu Wu, Qinyan Liu, Dongxiao Wang. Development and Application of the Chinese Global Operational Oceanography Forecasting System[J]. Advances in Earth Science, 2016, 31(10): 1090-1104.

Chinese Global operational Oceanography Forecasting System (CGOFS) is configured in three levels of nested grids from global ocean, open ocean to offshore. This global operational oceanography forecasting system architecture is firstly bulit in China by the National Marine Environmental Forecasting Center (NMEFC). It has been put into operational forecasting at NMEFC, providing real-time forecasting of multi-scale ocean current, temperature, salinity, wave, sea surface wind, etc. All the ocean forecasting products are released in many ways and made available through the online, realizing full-range coverage in resolution from hundreds kilometer to several kilometer. The CGOFS includes 8 subsystems: global sea-surface wind numerical forecasting subsystem, global ocean circulation numerical forecasting subsystem, global ocean wave numerical forecasting subsystem, global tide and tidal current forecasting subsystem, Indian Ocean marine environment numerical forecasting subsystem, polar sea ice numerical forecasting subsystem, refined marine environment numerical forecasting for China’s surrounding waters,and integration management subsystem for operational support service of the CGOFS. Operational applications of the CGOFS are closely connected with China’s economic-social development and military security needs. For example, the CGOFS palys a crucial role in environmental forecasting for Chinese research vessel and icebreaker Xuelong, MH370 Searching, submersible “Jiaolong” exploration and nuclear contaminant transport from Fukushima Daiichi nuclear power plant, providing important scientific support for developing an ocean power, protecting national maritime rights, ensuring marine safety and coping with ocean problems in emergency.

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