Comparison of nonlinear and linear PCA on surface wind,surface height,and SST in the South China Sea

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	Comparison of nonlinear and linear PCA on surface wind,surface height,and SST in the South China Sea
	Chen HY(陈海英); Yin BS(尹宝树); Fang GH(方国洪); Wang YG(王永刚)
发表期刊	Chinese Journal of Oceanology and Limnology
ISSN	0254-4059
	2010-09-15
出版年	2010
卷号	v.28 期号:05 页码:29-37
文献类型	CNKI期刊论文
摘要	We compared nonlinear principal component analysis(NLPCA) with linear principal component analysis(LPCA) with the data of sea surface wind anomalies(SWA),surface height anomalies(SSHA),and sea surface temperature anomalies(SSTA),taken in the South China Sea(SCS) between 1993 and 2003.The SCS monthly data for SWA,SSHA and SSTA(i.e.,the anomalies with climatological seasonal cycle removed) were pre-filtered by LPCA,with only three leading modes retained.The first three modes of SWA,SSHA,and SSTA of LPCA explained 86%,71%,and 94% of the total variance in the original data,respectively.Thus,the three associated time coefficient functions(TCFs) were used as the input data for NLPCA network.The NLPCA was made based on feed-forward neural network models.Compared with classical linear PCA,the first NLPCA mode could explain more variance than linear PCA for the above data.The nonlinearity of SWA and SSHA were stronger in most areas of the SCS.The first mode of the NLPCA on the SWA and SSHA accounted for 67.26% of the variance versus 54.7%,and 60.24% versus 50.43%,respectively for the first LPCA mode.Conversely,the nonlinear SSTA,localized in the northern SCS and southern continental shelf region,resulted in little improvement in the explanation of the variance for the first NLPCA.
关键词	South China Sea nonlinear PCA satellite data inter-annual variation
CNKI专辑号	A;
CNKI专辑名称	基础科学;
CNKI专题号	A010
CNKI专题名称	海洋学;
分类号	P731.11
收录类别	中科院核心
语种	英文;
资助项目(基金）	Supported by the Knowledge Innovation Program of the Chinese Academy of Sciences (No.KZCX1-YW-12) ; the National Natural Science Foundation of China (No.40706011) ; the Open Foundation of Key Laboratory of Marine Science and Numerical Modeling (MASNUM)
文献类型	CNKI期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/191956
专题	中国科学院海洋研究所
作者单位	1.KeyLaboratoryofOceanCirculationandWave,InstituteofOceanology,ChineseAcademyofSciences 2.KeyLaboratoryofMarineScienceandNumericalModeling,FirstInstituteofOceanography,SOA
推荐引用方式 GB/T 7714	Chen HY,Yin BS,Fang GH,et al. Comparison of nonlinear and linear PCA on surface wind,surface height,and SST in the South China Sea. 2010.