CAJ | 학술논문

契合大数据环境下气象服务的形势和需求，通过气象大数据服务协同模式来解决传统气象服务模式所遭遇的瓶颈。概述气象大数据特征，研究气象大数据的集成与服务，分析数据的采集聚合与处理，提出服务协同模式。构建面向用户体验支持可视化人机交互的气象大数据服务协同模型。依托大数据技术，通过协同优化服务，集数据采集聚合、专业化协同处理、用户管理于一体，实现气象服务的协同、整合、规模化，以解决气象服务“孤岛”现象。
계합대수거배경하기상복무적형세화수구，통과기상대수거복무협동모식래해결전통기상복무모식소조우적병경。개술기상대수거특정，연구기상대수거적집성여복무，분석수거적채집취합여처리，제출복무협동모식。구건면향용호체험지지가시화인궤교호적기상대수거복무협동모형。의탁대수거기술，통과협동우화복무，집수거채집취합、전업화협동처리、용호관리우일체，실현기상복무적협동、정합、규모화，이해결기상복무“고도”현상。
hTere is an interest in the new situation and demands of meteorological services under big data, this paper established meteorological big data collaborative service model to solve the traditional meteorological services mode bottlenecks encountered. This paper overviews the characteristics of meteorological big data, analyze integration and service of meteorological big data, explore the collection, polymerization and processing of big data, propose service synergy model of big data. hTis paper constructed the services synergy model of meteorological big data which orients the user experience and supports the interactive visualization. In order to solve the meteorological service "isolated island" phenomenon, this paper proposed to use synergy and optimize services, integrated data collection and polymerization, professionally co-processing and user management, achieved synergy, integration, scale of meteorological services based on big data technology.