| 中国夏季降水异常分布的非线性特征 |
| |
| 引用本文： | 居丽丽,郭品文,徐同.中国夏季降水异常分布的非线性特征[J].气象与减灾研究,2007,30(2):13-17. |
| |
| 作者姓名： | 居丽丽 郭品文 徐同 |
| |
| 作者单位： | 南京信息工程大学大,气科学学院,江苏,南京,210044 |
| |
| 基金项目： | 江苏省“六大人才高峰”项目资助 |
| |
| 摘 要： | 运用基于前馈型人工神经网络的非线性主成分分析方法(NLPCA),对中国近50 a夏季降水异常分布的非线性特征进行了分析。结果表明,中国夏季降水的异常分布具有一定的非线性特征,当夏季降水距平的一维NLPCA近似在非线性主成分取极端相反位相时,对应的空间分布型表现出明显的不对称性;一维NLPCA对夏季原始降水距平场的近似,比传统一维PCA的近似更为逼真。
|
| 关 键 词： | PCA NLPCA 降水异常 非线性特征。 |
| 文章编号： | 1007-9033（2007）02-0013-05 |
| 修稿时间： | 2007-03-082007-04-22 |
Nonlinear Distribution Characteristics of Summer Precipitation Anomalies over China |
| |
| JU Li-li,GUO Pin-wen,XU Tong.Nonlinear Distribution Characteristics of Summer Precipitation Anomalies over China[J].Meteorology and Disaster Reduction Research,2007,30(2):13-17. |
| |
| Authors: | JU Li-li GUO Pin-wen XU Tong |
| |
| Institution: | Jiangsu Key Laboratory of Meteorological Disaster, NUIST, Nanjing 210044, China |
| |
| Abstract: | Nonlinear distribution characteristics of the precipitation anomalies over China during the last five decades were investigated by applying a feed-forward neural-network-based nonlinear principal component analysis(NLPCA) method to the rainfall anomalies data for summer.The results show that the summer precipitation anomalies has certain extent nonlinearity.The space distribution pattern according to the leading NLPCA mode assimilation manifest obvious asymmetry corresponds to the maximum and minimum nonlinear principal component value.The leading NLPCA mode assimilation is more realistic to the original precipitation anomalies data than that of the leading PCA mode assimilation. |
| |
| Keywords: | PCA NLPCA Precipitation anomalies Nonlinear Characteristics |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
