Operational Climate Prediction in the Era of Big Data in China:Reviews and Prospects

作     者：王昕 宋连春 王国复 任宏利 吴统文 贾小龙 吴焕萍 吴捷 

作者机构：College of Computer Science and TechnologyJilin University National Climate CenterChina Meteorological Administration 

出 版 物：《Journal of Meteorological Research》 (气象学报（英文版）)

年 卷 期：2016年第30卷第3期

页      面：444-456页

核心收录：

学科分类：07[理学] 0707[理学-海洋科学] 0815[工学-水利工程] 0706[理学-大气科学] 0816[工学-测绘科学与技术] 0824[工学-船舶与海洋工程] 0825[工学-航空宇航科学与技术] 

基　　金：Supported by the National(Key)Basic Research and Development(973)Program of China(2012CB955900) China Meteorological Administration Special Public Welfare Research Fund(GYHY201406017) 

主　　题：big data climate prediction operational development prediction method 

摘      要：Big data has emerged as the next technological revolution in IT industry after cloud computing and the Internet of Things.With the development of climate observing systems,particularly satellite meteorological observation and high-resolution climate models,and the rapid growth in the volume of climate data,climate prediction is now entering the era of big data.The application of big data will provide new ideas and methods for the continuous development of climate prediction.The rapid integration,cloud storage,cloud computing,and full-sample analysis of massive climate data makes it possible to understand climate states and their evolution more objectively,thus predicting the future climate more accurately.This paper describes the application status of big data in operational climate prediction in China;it analyzes the key big data technologies,discusses the future development of climate prediction operations from the perspective of big data,speculates on the prospects for applying climatic big data in cloud computing and data assimilation,and puts forward the notion of big data-based super-ensemble climate prediction methods and computerbased deep learning climate prediction methods.