数据挖掘技术在气象预报研究中的应用

Review of Research on Data Mining in Application of Meteorological Forecasting

气象预测是现代世界最重要和最有挑战的问题,准确的气象预测常需要使用比较先进的方法和计算机模型。本文分析了数据挖掘方法在气象预报中应用的国内外研究现状,简要介绍了目前在大气科学领域应用的一些数据挖掘方法的相关概念、原理和特点,综述了数据挖掘方法在气象预报中的最新应用研究进展,讨论了这些数据挖掘方法在气象预报中的优缺点。最后指出了当前基于数据挖掘方法的气象预报技术存在的一些困难,并对未来的研究重点和和发展趋势进行展望。

Meteorological prediction is one of the most important and challenging task in the modern world. In general,climate is highly non-linear and complicated phenomena,which require advanced method and computer modeling for their accurate prediction. This paper provides a survey of available literature of some methodologies employed by different researchers for the weather forecast based on the methods of data mining at home and abroad. It briefly introduced the concepts and traits of some data mining methods in atmospher-ic science,separately discussed the basic principles of these data mining methods used in weather forecasting,including the advantages and disadvantages. Finally,the author points out some existing difficulties of data mining methods used in weather forecasting ,and puts forward key points of future research and current trends of the research.