| 中国春季气温异常变率的非线性特征 |
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| 引用本文： | 徐同,郭品文,居丽丽.中国春季气温异常变率的非线性特征[J].河南气象,2007(2). |
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| 作者姓名： | 徐同 郭品文 居丽丽 |
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| 作者单位： | 南京信息工程大学大气科学学院 南京210044 |
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| 摘 要： | 运用一种基于神经网络的非线性主成分分析法(NLPCA)对中国1951-2003年53 a春季气温距平场进行分析,结果表明,春季气温异常变率具有显著的非线性特征,当非线性主元u分别取最大值和最小值时,对应的空间气温异常分布型具有显著的非对称性。
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| 关 键 词： | 非线性主元 气温 方差 |
Non-linear Characteristic of Spring Temperature Anomalous Changes over China |
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| Xu Tong,Guo Pinwen,Ju Lili.Non-linear Characteristic of Spring Temperature Anomalous Changes over China[J].Meteorology Journal of Henan,2007(2). |
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| Authors: | Xu Tong Guo Pinwen Ju Lili |
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| Abstract: | Chinese spring surface air temperature anomaly(SAT) during 1951-2003 was investigated by applying a neural-network-based non-linear principal component analysis(NLPCA) method.The results showed there was a distinct non-linear characteristic in China spring temperature anomaly changes,and the space distribution was obviously unsymmetrical when the u was selected as its maximum value and minimum value. |
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| Keywords: | non-linear principal component temperature variance |
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