首页|期刊导航|大气和海洋科学快报：英文版|Interannual Variability of Sea Surface Temperature in the Northern Indian Ocean Associated with ENSO and IOD
大气和海洋科学快报：英文版2012，Vol.5Issue(4)：295-300,6.
Interannual Variability of Sea Surface Temperature in the Northern Indian Ocean Associated with ENSO and IOD
Interannual Variability of Sea Surface Temperature in the Northern Indian Ocean Associated with ENSO and IOD
摘要
Abstract
The Northern Indian Ocean （NIO） sea surface temperature （SST） warming, associated with the E1 Nifio/Southern Oscillations （ENSO） and the Indian Ocean Dipole （IOD） mode, is investigated using the International Comprehensive Ocean-Atmosphere Data Set （ICOADS） monthly data for the period 1979-2010. Statistical analy- ses are used to identify respective contribution from ENSO and IOD. The results indicate that the first NIO SST warming in September-November is associated with an IOD event, while the second NIO SST warming in spring-summer following the mature phase of ENSO is associated with an ENSO event. In the year that IOD co-occurred with ENSO, NIO SST warms twice, rising in the ENSO developing year and decay year. Both short- wave radiation and latent heat flux contribute to the NIO SST variation. The change in shortwave radiation is due to the change in cloudiness. A cloud-SST feedback plays an important role in NIO SST warming. The latent heat flux is related to the change in monsoonal wind. In the first NIO warming, the SST anomaly is mainly due to the change in the latent heat flux. In the second NIO warming, both factors are important.关键词
ENSO事件/印度洋海温/年际变化/气候变暖/D相/印度洋偶极子/潜热通量/海表温度异常Key words
El Nifio/Indian Ocean Dipole mode/sea surface temperature/interannual variability分类
海洋学引用本文复制引用
WU Yan-Ling,DU Yan,ZHANG Yu-Hong,ZHENG Xiao-Tong..Interannual Variability of Sea Surface Temperature in the Northern Indian Ocean Associated with ENSO and IOD[J].大气和海洋科学快报：英文版,2012,5(4):295-300,6.基金项目
Acknowledgments. This work is supported by the National Basic Research Program of China （973 Program, 2012CB955603 ＆2010 CB950302）, the Knowledge Innovation Program of the Chinese Academy of Sciences （XDA05090404）, and the National Natural Science Foundation of China （41149908）. （）
