VARIANCE OF INTERDECADAL COMPONENTOF GLOBAL SEA SURFACE TEMPERATURE ANOMALY AND THE CORRELATIONS TO THE CLIMATE OF CHINA

Zhou Xiaoxia; Wang Panxing; Zhu Changhan; Qin Jun

Vol.16, NO.1, 2005

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2005 > 16(1): 96-104

Zhou Xiaoxia, Wang Panxing, Zhu Changhan, et al. Variance of interdecadal componentof global sea surface temperature anomaly and the correlations to the climate of China. J Appl Meteor Sci, 2005, 16(1): 96-104.

Citation:

Zhou Xiaoxia, Wang Panxing, Zhu Changhan, et al. Variance of interdecadal componentof global sea surface temperature anomaly and the correlations to the climate of China. J Appl Meteor Sci, 2005, 16(1): 96-104.

Citation:

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VARIANCE OF INTERDECADAL COMPONENTOF GLOBAL SEA SURFACE TEMPERATURE ANOMALY AND THE CORRELATIONS TO THE CLIMATE OF CHINA

1.
Department of Atmospheric Sciences, Nanjing Institute of Meteorology, Nanjing 210044
2.
National Climate Center, Beijing 100081

Received Date: 2003-09-02
Rev Recd Date: 2004-02-05
Publish Date: 2005-02-28

Abstract

Abstract

The interdecadal and interannual components of global sea surface temperature anomaly (SSTA) were obtained by periodical analysis, and their significant variations over different areas of global sea and seasonal change were displayed by variance analysis. Then using singular value decomposition (SVD), the simultaneous and time-lag correlations of interdecadal sea surface anomaly and winter temperature/summer rainfall of China were investigated. Results show that the interdecadal SSTA is more evident than the interannual one both in winter and summer, and positive SSTA is usually assotiated with positive winter temperature anomaly in North China and positive rainfall anomaly in the Changjiang valley and South China, but negative rainfall anomaly in North China, and vice versa.

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References(13)

Figures and Tables

图 1 全球海洋SST′年代际、年际变化显著区的地理分布

(a) 冬季, (b) 夏季 (图中等值线间隔1;浅 (深) 色阴影区分别为年代际 (年际) 变化显著区)

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图 2 冬季 (12~2月)SST′和T′SVD第一模态

(a) 奇异向量X₁(与SST′对应, 等值线间隔0.2;浅 (深) 色阴影区值≥0.4(≤-0.4)); (b) 奇异向量Y₁(与T′对应, 等值线间隔0.1);(c) 时间系数Q₁(实线与SST′对应, 虚线与T′对应)

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图 3 夏季 (6~8月)SST′和R′SVD第一模态

(a) 奇异向量X₁(与SST′对应, 等值线间隔0.2;浅 (深) 色阴影区值≥0.4(≤-0.4)); (b) 奇异向量Y₁(与R′对应, 等值线间隔0.1);(c) 时间系数Q₁(实线与SST′对应, 虚线与R′对应)

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图 4 夏季 (6~8月)SST′和同年冬季T′SVD

第一模态 (a) 奇异向量X₁(与SST′对应, 等值线间隔0.2;浅 (深) 色阴影区值≥0.4(≤-0.4)), (b) 奇异向量Y₁(与T′对应, 等值线间隔0.1), (c) 时间系数Q₁(实线与SST′对应, 虚线与T′对应)

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图 5 冬季SST′和次年夏季R′SVD第一模态

(a) 奇异向量X₁(与SST′对应, 等值线间隔0.2;浅 (深) 色阴影区值≥0.4(≤-0.4)), (b) 奇异向量Y₁(与R′对应, 等值线间隔0.1), (c) 时间系数Q₁(实线与SST′对应, 虚线与R′对应)。

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表 1 SST′年代际、年际分量的方差贡献 (%) 及其比率

表 2 α=0.05下SST′年代际、年际分量方差显著的站点数

表 3 SST′~T′、R′年代际分量同期SVD第一模态参数表

表 4 SST′~T′、R′年代际分量时滞SVD第一模态参数表

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