云计算环境下气象大数据服务的应用  

Application of the Services of Meteorological Big Data in Cloud Computing

作　　者：张洁[1] 薛胜军[2] 

机构地区：[1]上海市气象信息与技术支持中心,上海200030 [2]南京信息工程大学计算机与软件学院,江苏南京210044

出　　处：《安徽农业科学》2016年第5期298-301,共4页Journal of Anhui Agricultural Sciences

基　　金：国家自然科学基金(面上项目)(41275116)

摘　　要：设计了云计算环境下气象大数据服务框架,该框架设计的气象服务主要包括气象业务服务、气象科研服务以及公共气象服务。MapReduce分布式处理技术可以有效地进行分布式处理服务,是提供气象大数据服务的基础计算架构。基于MapReduce对上海宝山站气象日值数据（2013年1-12月）进行了气温以及降水量统计,并给出了相应示例。云环境下气象大数据的应用研究可以提升整体气象业务服务水平,加快各地气象部门资源整合与资源共享的步伐,同时对于加快＂大数据时代＂气象信息化进程具有重要作用。This paper designed the framework for the services of meteorological data in cloud computing. The framework mainly included weather business services, meteorological research services and public meteorological services. The distributed processing technology MapReduee could be effectively processed services distributed. And also it was the infrastructure for the meteorological data services. This paper did some statistics on the temperature and precipitation based on the meteorological log data of Shanghai Baoshan Station（ from January 2013 to December 2013 ） by u- sing the technology of MapReduce and gave the corresponding examples. The research on the services of meteorological big data in cloud compu- ting could promote the whole meteorological service level, speed up the pace of the local meteorological department resource integration and resource sharing, at the same time play an important role in promoting the informationization of the ＂big data era＂.

关 键 词：云计算 气象大数据 气象服务 HADOOP MAPREDUCE 

分 类 号：S126[农业科学—农业基础科学]