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Operational Climate Prediction in the Era of Big Data in China:Reviews and Prospects
  • ISSN号:2095-6037
  • 期刊名称:《气象学报:英文版》
  • 时间:0
  • 分类:P467[天文地球—大气科学及气象学] E925.66[军事—军事装备学;兵器科学与技术—武器系统与运用工程]
  • 作者机构:[1]College of Computer Science and Technology,Jilin University,Changchun 130012, [2]National Climate Center,China Meteorological Administration,Beijing 100081
  • 相关基金:Supported by the National(Key)Basic Research and Development(973)Program of China(2012CB955900); China Meteorological Administration Special Public Welfare Research Fund(GYHY201406017)
中文摘要:

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.

英文摘要:

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.

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期刊信息
  • 《气象学报:英文版》
  • 主管单位:
  • 主办单位:中国气象学会
  • 主编:
  • 地址:北京市中关村南大街46号
  • 邮编:100081
  • 邮箱:cmsams@163.com
  • 电话:010-68407634
  • 国际标准刊号:ISSN:2095-6037
  • 国内统一刊号:ISSN:11-2277/P
  • 邮发代号:
  • 获奖情况:
  • 国内外数据库收录:
  • 荷兰地学数据库,荷兰文摘与引文数据库,美国剑桥科学文摘,美国科学引文索引(扩展库)
  • 被引量:280