| 摘要: |
| 使用实测月平均海表温度(SST)资料序列研究华南近海区域的变化特征,得出:华南近海的月和年平均SST皆以上升趋势为主,年平均SST最近44年的线性增长率为0.12～0.19℃/10年,冬半年的上升幅度普遍高于夏半年。其变率冬半年远大于夏半年,最大为2、3月份,显著的冷暖事件也多发生于冬半年;冬半年东部变率较小,而夏半年则以东部较大。运用小波多分辨分析方法进行周期特征分析,华南近海各站SST的各尺度的分量序列十分相近,其中低频分量显示华南近海SST始于1970年代中期的上升趋势延续至今,其变化以年内变化为主。华南近海SSTA与Niño4指数同期相关很好,与Niño3,4区超前4个月时相关最显著。Niño各海区SSTA与华南近海SSTA的小波多分辨分析所得平滑成分、2.3～4.6年成分间的相关最为显著,其他年以上尺度的相关也高于SSTA序列间的相关,可见华南近海SST年际以上时间尺度的变化与ENSO变化有密切关系。 |
| 关键词: 华南近海 实测SST 变化特征 |
| DOI： |
| 分类号: |
| 基金项目:国家自然科学基金重点项目(40231009)资助 |
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| STUDY ON VARIATION CHARACTERISTICS OF SST OBSERVED IN THE PAST 40 YEARS IN THE COASTAL REGION OF SOUTH CHINA |
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PAN Wei-juan1, QIAN Guang-ming1, YU Ke-fu2, CHEN Te-gu2
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1.Guang dong Climate and Agrometeorology Center, Guang dong Province Guangzhou 510080, China;2.South China Sea Institute of Oceanology, CMA, Guangzhou 510301, China
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| Abstract: |
| To study variation characteristics of SST in coastal regions of south China(CRSC),we analyzed observed SST for the past 44 years. The results show that the monthly and yearly averaged SST have rising trends,the yearly averaged SST's linearity rising rate is 0.12-0.19℃/decade in the years,the rising extents in winter are higher than those in summer. The variability in winter is bigger than that in summer,with the biggest in February and March. A majority of significant cold or warm events occurred in winter. A wavelet multi-resolution method was used to analyze periodical characteristics of SST in CRSC,all time-scale decomposition series are very similar,and high-frequency decompositions within the year are dominant. Low-frequency decompositions show rising trends since the mid-1970. Moving correlation coefficients between SSTA series of CRSC and the Niño series were calculated. It was found that simultaneous correlations are closest to Niño 4,and four monthly leading correlations are closest to Niño 3,4. The correlation between yearly decompositions is closer than that of the original,which means the change of SST in CRSC have large-scale ENSO background. |
| Key words: Coastal Region of South China observed SST variation characteristics |
