The Meteorological decision service mobile platform of the National Meteorological Center （NMC） is designed and developed by the NMC researchers for the massive meteorological data and efficient demands of meteorological disaster emergency service. The paper introduces the structure of the mobile platform server and client, and the platform functions such as observation, locationbased service (LBS) gridded forecast, early warning, decision service product delivering, disastrous weather autowarning and delivering and so on. This platform adopts the realtime distributed process computation to solve the massive data processing and analysis efficiently in mobile mode, and visualize and interoperate massive meteorological data based on HTML5 and mobile GIS technologies. This platform has already been stably applied in the national and provincial meteorological decision service operations, such as typhoon, storm and other disaster emergency service. The efficient and convenient functions of this platform illustrate that the platform has strong practicability.