| 近年来中国统计气象学的新进展 |
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| 引用本文： | 周家斌,黄嘉佑.近年来中国统计气象学的新进展[J].气象学报,1997,55(3):297-305. |
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| 作者姓名： | 周家斌 黄嘉佑 |
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| 作者单位： | 中国科学院大气物理研究所(周家斌)，北京大学地球物理系(黄嘉佑) |
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| 摘 要： | 近年来，统计气象学在中国取得了长足的进展。其中主要有：将熵原理用于气象学，从而建立了熵气象学；引进了忆及过去时次资料的记忆函数，导出了大气运动的自忆性方程；将模糊数学引入气象学；将非线性动力学用于气候学研究，提出了一系列相空间预报模式；将车贝雪夫多项式推广到不规则格点，提出了一种新的时间序列预报的迭代算法；应用子波分析方法进行气候学研究；将Ｌｏｇｉｓｔｉｃ判别分析用于气象预报，研究了二次判别及逐步判别等问题；将中国科学家提出的灰色系统理论和多层递阶方法引入气象预报。此外，还引进了复经验正交分解、奇异值分解、投影追踪、主振荡模态分析等较新的统计学方法。这些方法都已在气象业务预报中发挥了作用
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| 关 键 词： | 统计，气象学，进展 |
| 收稿时间： | 1994/10/24 0:00:00 |
| 修稿时间： | 1996/2/16 0:00:00 |
ADVANCES IN STATISTICAL METEOROLOGY IN CHINA IN RECENT YEARS |
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| Zhou Jiabin and Huang Jiayou.ADVANCES IN STATISTICAL METEOROLOGY IN CHINA IN RECENT YEARS[J].Acta Meteorologica Sinica,1997,55(3):297-305. |
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| Authors: | Zhou Jiabin and Huang Jiayou |
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| Institution: | Institute of Atmospheric Physics, Academia Sinica, Beijing, 100029;Department of Geophysics, Peking University, Beijing, 100871 |
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| Abstract: | Great abvances in statistical meteorology have been made in recent years in China.The main points are as follows:Introducing entropy principle into meteorology,entropy meteorology is founded;introducing memory function,self memorization equation of atmospheric motion is derived;the fuzzy reasoning is introduced into meteorology;using the method of nonlinear dynamics in researches of climatology,some forecasting schemes of phase space are proposed;Chebyshev polynomial is generalized at irregular grids and an iterative scheme for forecast of time series is proposed;the wavelet transform is used in researches on climatology;Logistic discrimination is used in meteorology and quadratic discrimination are stepwise discrimination are investigated;the theory on grey system and the multilevel recursion method proposed by Chinese scientists are introduced into meteorological forecast.In addition,complex empirical orthogonal function,singuler value decomposition,projection pursuit,principal oscillation patterns, et al.are also introduced. Above methods have come in to play a great roles in operational weather forecasts. |
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| Keywords: | Statistics Meteorology Advance |
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