基于NLCCA的中国夏季降水与东亚夏季风关系的探讨

运用一种基于人工神经网络的非线性典型相关分析方法(NLCCA),对中国夏季降水与东亚夏季风之间的非线性关系进行了分析。结果表明,夏季降水对东亚夏季风的响应具有一定的非线性,当夏季风较强与较弱时,对应的中国夏季降水异常分布呈现明显的不对称性。夏季降水与夏季风之间的关系可分离为线性响应和非线性响应,其中非线性响应部分占总方差贡献的52.1%,说明我国夏季降水异常分布与东亚夏季风相互之间的关系既有线性特征也有非线性特征,非线性响应略显重要。

Nonlinear Association Between Summer Precipitation Over China and Summer Monsoon of East Asia

A nonlinear projection of the East-Asian summer monsoon onto the summer precipitation over China was performed by applying a neural-network-based nonlinear canonical correlation analysis method(NLCCA).The results show that the response of the summer precipitation to east-Asian summer monsoon reveals some extent nonlinearity.When the summer monsoon appears the strongest or the weakest situation,the corresponding space distribution pattern of summer precipitation anomaly over China manifest obvious asymmetry.The summer precipitation response to the summer monsoon can be separated into a linear component and a nonlinear component,and the nonlinear component account for 52.1%,which suggest that the summer precipitation over China responds to the East-Asian summer monsoon linearly and nonlinearly,and nonlinearity is a bit more important.