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亚印太交汇区海表温度的分布和变化特征及其对中国降水的影响
引用本文:卢峰,郑彬.亚印太交汇区海表温度的分布和变化特征及其对中国降水的影响[J].海洋学报,2011,33(5):39-46.
作者姓名:卢峰  郑彬
作者单位:1.中国气象局 广州热带海洋气象研究所/热带季风重点开放实验室,广东 广州 510080;南京信息工程大学/气象灾害省部共建教育部重点实验室,江苏 南京210044
基金项目:国家自然科学基金(40505019);全球变化研究国家重大科学研究计划(2010CB950304)。
摘    要:利用1967-2009年的逐月海表温度(Sea Surface Temperature,SST)资料和降水资料,以及经验正交函数(Empirical Orthogonal Function,EOF)和相关分析方法,探讨了亚印太交汇区(Joining Area of Asia and Indian-Pacific Oce...

关 键 词:气候学  海表温度  时空分布  统计分析  亚印太交汇区  降水
收稿时间:2010/5/20 0:00:00

Spatial distribution and temporal variation of sea surface temperature in the joining area of Asia and Indian-Pacific Ocean and its impacts on precipitation in China
LU Feng and ZHENG Bin.Spatial distribution and temporal variation of sea surface temperature in the joining area of Asia and Indian-Pacific Ocean and its impacts on precipitation in China[J].Acta Oceanologica Sinica (in Chinese),2011,33(5):39-46.
Authors:LU Feng and ZHENG Bin
Institution:1.Guangzhou Institute of Tropical and Marine Meteorology/Key Open Laboratory for Tropical Monsoon, China Meteorological Administration, Guangzhou 510080,China;Key Laboratory of Meteorological Disaster of Ministry of Education/Nanjing University of Information Science & Technology, Nanjing 210044,China2.Guangzhou Institute of Tropical and Marine Meteorology/Key Open Laboratory for Tropical Monsoon, China Meteorological Administration, Guangzhou 510080,China
Abstract:The monthly Sea Surface Temperature (SST) data and the Precipitation Reconstruction data set during the period from 1967 to 2009 are used to analyze the spatial-temporal distribution of sea surface temperature in the Joining Area of Asia and Indian-Pacific Ocean (AIPO) and its impacts on precipitation in China, through methods of the Empirical Orthogonal Function (EOF) and correlation analysis. The results show that the first eigenvector (EOF1) has uniform mode and the first time coefficient behaves as significant interdecadal change. On the interdecadal time-scale, As the SST rises in the AIPO region, the SST in the North Pacific begins decrease, and reaches the lowest 11 months later. Additionally, the SST rises in the AIPO region would make the precipitation in the South China Sea (SCS) monsoon region and East Asia monsoon region increase, but reduce in the west of Qinghai-Tibet Plateau. The second eigenvector (EOF2) is featured with out-phase in the western Pacific and Eastern Indian Ocean (including SCS) and the second time coefficient displays evidently biennial and 4~5 years interannual oscillation. When the Niño 3.4 SST appears positive anomaly, there is positive SST anomaly in the Eastern Indian Ocean and negative anomaly in the western Pacific 4-month later. The warm SST in the western Pacific and the cold in the Eastern Indian Ocean would suppress the precipitation in the western North Pacific and enhance the precipitation in the Northeast and North China increase. Moreover, the effect of the AIPO SST on the precipitation in the north of China has at least 3 months leading relative to that on the western North Pacific precipitation.
Keywords:climatology  sea surface temperature  spatial-temporal distribution  statistical method  joining area of Asia and Indian-Pacific Ocean  precipitation
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