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《Chinese Journal of Geophysics》 2009-10
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Influence of subtropical dipole pattern in southern Indian Ocean on ENSO event

YAN Hong-Ming~(1,2),LI Chong-Yin~(2,3), ZHOU Wen~41 Yunnan Climate Centers, Kunming 650034, China2 State Key Laboratory of Numerical Modeling for Atmospheric Science and Geophysical Fluid Dynamics ,Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029,China3 Institute of Meteorology , PLA University o f Science and Technology , Nanjing 211101, China4 CityU-IAP Laboratory for Atmospheric Sciences , City University of Hong Kong  
Subtropical Dipole Pattern (SDP) in southern Indian Ocean is another significant dipolelike sea surface temperature anomalies (SSTA) phenomena besides tropical Indian Ocean dipole (TIOD). It is very clear in interannual and interdecadal variations. But many recent studies have mainly aimed at the SST of equatorial Indian Ocean and less at southern Indian Ocean, especially less at the relationship between SSTA in southern Indian Ocean and El NinoSouthern Oscillation (ENSO). Present works investigated primarily the correlation between the SDP and ENSO. It is found that SDP event act as a crucial linkage between positive and negative ENSO phases. The SSTAs in equatorial eastern Pacific Ocean are completely reversed before and after SDP event. Further, we investigated the possible impact of SDP on ENSO event in interannual scale by researching the anomalous characteristics of sea temperature, wind, convergence and divergence, total cloud amount, radiation and so on. The results showed that the influence of SDP on ENSO involve not only the process of positive and negative air-sea feedback, but also the interaction between atmospheric circulation over tropical and subtropical, specially the eastward propagation of anomalous zonal wind from the equatorial Indian Ocean to the Pacific Ocean. Otherwise, it also relates, to some extent, to the transition of large-scale climatic mean flow over the Indian Ocean and Pacific Ocean.
【Fund】: 国家自然科学基金(40675045);; 国家自然科学重点基金课题(U0833602);; LASG开放课题资助
【CateGory Index】: P732
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