Abstract: Global Weather Monitoring Prediction and Service System (GOPASS) is a global weather operational platform developed by National Meteorological Center (NMC) of China Meteorological Administration (CMA). The system is comprehensively introduced from aspects of design requirements, framework architecture, key technologies, core functionalities and application status. GOPASS is developed from the ground up in 2019 and the first experimentally applied to the global weather forecasting operational business at NMC of CMA. The system has been iterated continuously, aiming to enhance its abilities in subjective modification of continental precipitation and phase forecast, local-time weather element prediction for major global cities, planetary-scale disastrous weather forecasting, as well as worldwide meteorological services for major events.Fundamentally, the system is built upon MICAPS4 (Meteorological Information Comprehensive Analysis and Processing System V4.5) framework, ensuring excellent continuity from domestic to global weather operation and incorporating distinctive prior global functional features. Based on the plug-in management architecture, GOPASS supports unattended 7×24 h operational monitoring, forecasting and other tasks, with the single-function operation response time typically between 1 s and 3 s. Through core techniques such as data standardization, cache optimization and projection matching, the platform achieves rapid geographic information query, precise visual presentation and convenient user interaction. In addition, efficient access to high-precision global geographic, topographic, administrative, and climatic background information is enabled through a 5-level geographic database. The integrated projection approaches, including Lambert projection, enable the self-adaptive perspective-center function for the globally concerned regions, which subsequently supports interactive application of multi-source meteorological observation and forecast data across the entire global area. Furthermore, the system enriches and upgrades data types available for monitoring and forecasting services. Multi-tiered global operational capabilities, such as routine weather monitoring, numerical and digital weather prediction, and hazardous weather services, are established via data menus and functional modules in GOPASS. Finally, the platform focuses on developing core application functionalities, including global disastrous weather monitoring and prediction, integrated correction of global urban (station) local-time forecasts, and adjustment of global rain and snow falling-area forecasts.In summary, as the primary national-level global weather operational platform, GOPASS has provided crucial supports for China's global hazardous weather monitoring and prediction operation, as well as meteorological services for major international events. Subsequently, this platform will be enhanced in early forecasting and warning capacity for global severe weather to support MAZU (Multi-hazard Alert, Zero gap and Universal)-China Intelligent Meteorological Early Warning Solution.