摘要
利用1998~2004年的热带降雨测量卫星的卫星遥感海表面温度(SST)数据以及美国NO-AA/NCEP再分析产品的850 hPa气温数据,采用EOF分析方法,分析了850 hPa气温的季节内变化特征,运用奇异值分解(SVD)分析方法对东、黄海SST与850 hPa气温季节内变化的相关关系进行了分析。对850 hPa气温季节内变化的EOF分析结果表明,EOF分析获得的前4个模态的累积方差贡献率为86.51%,其中EOF的第一模态的方差贡献率占44.49%,其空间模态呈现出明显的东南海域为正值、西北海域为负值的反相分布特征,这一模态的显著变化周期为6.6周(约46 d)和2.8周(约19 d)。SVD分析结果表明,第一对模态的协方差解释率为83.6%,基本上能体现出SST温度场与850 hPa气温场季节变化的特征,其空间分布型表明,东海北部以及黄海近岸等海区SST季节变化与30°N以南的东海海区850 hPa气温的季节振荡存在显著的正相关关系,SVD第一对模态空间分布型时间系数之间的相关系数达到0.29。
Based on the satellite remote sensing data of SST collected by TRMM/TMI and 850 hPa air temperature of NOAA/NCEP reanalysis data,intra-seasonal variability of 850 hPa air temperature is analyzed with EOF method,then the correlation between the intra-seasonal variabilities of the SST and 850 hPa air temperature in the East China Sea(ECS) and the Yellow Sea(YS) is analyzed with singular value decomposition(SVD) method.The analysis of intra-seasonal variability of 850 hPa air temperature reveals that the first 4 EOF modes account for 86.51% of total variance,in which the first EOF mode accounts for 44.49% of the total.Its spatial modality presents obvious anti-phase distribution feature with positive values in the southeastern sea area and negative values in the northwestern sea areas.The significant cycle of this modality is 6.6(about 46 days) and 2.8(about 19 days) weeks.The result of SVD analysis shows that the covariance interpretation rate of the first pair of modality is 83.6%,which basically reveals the correlation between the SST variation and the intra-seasonal variability of 850 hPa air temperature.The first coupled pattern demonstrates that the intra-seasonal variabilities of the SST in the northern ECS and coastal areas of the YS presents significantly positive relation to the intra-seasonal variability of 850 hPa air temperature to the south of 30°N in the ECS,and the coefficient of the first coupled pattern is 0.29.
出处
《海洋学研究》
2010年第2期22-27,共6页
Journal of Marine Sciences
基金
中国科学院知识创新工程资助项目(kzcx2-yw-201)
"973"资助项目(2006CB403604)
关键词
海表面温度(SST)
季节内变化
奇异值分解(SVD)分析
东海
黄海
sea surface temperature(SST)
intra-seasonal variability
the singular value decomposition(SVD) method
the East China Sea
the Yellow Sea