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《Journal of Marine Sciences》 2010-02
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Analysis of the relationship between the intra-seasonal variabilities of SST and 850hPa air temperature in the East China Sea and the Yellow Sea using the singular value decomposition(SVD) method

ZENG Guang-en1,QI Yi-quan2,CHEN Xiu-zhu1(1.Hydrometric Station of Wenzhou,Wenzhou 325000,China;2.LED,South China Sea Institute of Oceanology,CAS,Guangzhou 510301,China)  
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.
【Fund】: 中国科学院知识创新工程资助项目(kzcx2-yw-201);; “973”资助项目(2006CB403604)
【CateGory Index】: P731.11
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