Construction of Integrated Meteorological Forecast Service Platform Based on MICAPS4 Web Framework
The Hubei Meteorological Forecast Service Integration Platform is designed and developed based on the MICAPS4 Web Platform developed by National Meteorological Centre, which can effectively connect China Integrated Meteorological Information Sharing System (CIMISS) and the distributed database of Meteorology Information Comprehensive Analysis Process System version 4 （MICAPS4）. The platform integrates guidance and warning of primary focus, sharing and enquiry of real-time monitoring, comparative analysis of climate characteristics, comprehensive analysis of weather forecast, associative retrieval of service products, product generation and one-click distribution, application of professional service and management of information data system. The platform adopts key technologies including intensive application of meteorological big data, rule matching of work guidance, customized synthesis of automatic product generation and collaborative linkage of service response feedback. The platform has helped to realize the stable application in the three-level meteorological departments of the cities and counties in Hubei Province. The application results show that the integrated platform has greatly improved the level of business intensification and service collaboration of meteorological forecast service in provinces, cities and counties, promoting the establishment of the specifications of various operational processes including information transmission, product manufacture, service distribution and linkage response. The successful practice of applying MICAPS4 web framework to the establishment of the integrated platform of meteorological forecast service in Hubei Province has provided an effective alternative for the domestic provincial meteorological departments to follow the state-level technological development in time and carry out the construction of meteorological operation system under the big data application scenario.