| 摘要: |
| 相关分析在气象科研和业务中具有广泛应用，是定量分析气象变量之间关系的重要工具。首先系统综述了气象科研与业务中不同计算形式的相关分析算法，然后重点阐述了相关分析在气象领域应用的最新进展，特别是全窗口滑动相关和相关系数的扫描式多尺度突变检测算法。接着介绍了大数据研究领域中新发展的相关分析算法，简析了其对气象相关分析的启示。最后分析了气象相关分析中存在的问题，并且对相关分析在气象领域未来的发展趋势进行了展望。 |
| 关键词: 相关分析 相关系数 全窗口滑动相关 多尺度突变检测 大数据 |
| DOI：10.16032/j.issn.1004-4965.2021.001 |
| 分类号: |
| 基金项目: |
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| SURVEY ON APPLICATION OF CORRELATION ANALYSIS OF DIFFERENT CALCULATION FORMS IN METEOROLOGY |
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ZHU Yu-xiang1, JIANG Jian-min1, ZHAO Liang2, LIU Hai-wen3, HOU Mei-ting1, LI Hong-yi1, WAN Wen-long4, ZHAO Cui-guang5
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1.China Meteorological Administration Training Center, China Meteorological Administration, Beijing 100081, China;2.State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physic, Chinese Academy of Sciences, Beijing 100029, China;3.Civil Aviation University of China, Tianjin 300300, China;4.Dongying Meteorological Bureau, Shandong 257100, China;5.National Meteorological Center, Beijing 100081, China
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| Abstract: |
| Correlation analysis is widely used in meteorological research and practice, and it is an important tool for the quantitative analysis of the relationship between meteorological variables. In the present study, correlation analysis algorithms of different calculation forms used in meteorological research and practice are summarized. Then, the latest development of using correlation analysis in meteorology is introduced, especially the full sliding window correlation and correlation coefficient scanning multi-scale change points detection algorithm developed by us. In addition, it introduces the newly developed correlation analysis algorithm in big data research and analyzes its use for meteorological correlation analysis. Finally, the existing problems in meteorological correlation analysis are analyzed, and the trend of correlation analysis in meteorology is presented. |
| Key words: correlation analysis correlation coefficient full sliding window correlations multi-scale change points detection big data |
