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### 江南春季降水的准2 a振荡及其与热带海温异常的关系

1. 1. 南京信息工程大学大气科学学院 气象灾害省部共建教育部重点实验室,江苏 南京 210044
2.江西省气象局,江西 南昌 330046
3. 国家气候中心,北京 100081
4. 中高纬度环流系统与东亚季风研究开放实验室,吉林 长春 130062
• 收稿日期:2013-01-05 修回日期:2013-04-19 出版日期:2013-08-20 发布日期:2013-08-20
• 作者简介:

作者简介：詹丰兴（1963-）,男,江西玉山人,高级工程师,博士研究生,主要研究方向为气象灾害监测、灾害预报预测、季风与旱涝研究。E-mail：zfx8@163.com

• 基金资助:
国家自然科学基金（41005037,41175083,41275096）、国家重点基础研究发展计划（2013CB430202）、江苏普通高校研究生科研创新计划项目（CXZZ12_0487）、公益性行业（气象）科研专项（GYHY200906015）和江苏高校优势学科建设工程项目（PAPD）资助

### Tropospheric Biennial Oscillation of the Precipitation over Jiangnan Area of China in MAM and Its Relationship with the Tropical SST Anomaly

Feng-xing ZHAN1,2(), Yun-yun LIU3, Jin-hai HE1,4()

1. 1. School of Atmosphere Science,Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044 ,China
2. Jiangxi Meteorological Administration, Nanchang, Jiangxi 330046,China
3. National Climate Center, Beijing 100081,China
4. Jilin Meteorological Science Institute, Laboratory of Research for Middle-High Latitude Circulation and East Asian Monsoon, Changchun, Jilin 130062, China
• Received:2013-01-05 Revised:2013-04-19 Online:2013-08-20 Published:2013-08-20

Abstract:

Based on the 160 stations precipitation data in China and NOAA extended reconstructed SST v3b data, this article focuses on the interannual component of the tropospheric biennial oscillation (TBO), which is extracted from the original time series of monthly precipitation over southeast China in MAM from 1951 to 2012, and its relationships with the tropical sea surface temperature (SST) anomaly. It is found that: 1) As the major interannual period of the precipitation over southeast China in MAM, the variance contribution of TBO accounts for 52.2% of the original time series. 2) The time-lag correlations between the TBO of the precipitation over southeast China in MAM and SST anomaly in Nino3.4 area and Indian Ocean are more significant than its original time series, with longer correlation duration. It is indicated that the tropical SST anomaly has much significantly influence on the TBO component. 3) The time-lag correlation between them also presents the interdecadal transition. Before the middle of the 1980s, the positive time-lag correlations between the Nino3.4 index and the TBO component with lagging 1 to 11 months were obvious, while the relationships were reducing and the TBO and ENSO were practically unrelated to each other until 21st century, and the positive time-lag correlations between them were rebuilt again. 4) In the TBO cycle of the precipitation over southeast China in MAM, the evolution of tropical central and eastern Pacific SST anomaly with leading 3 months is synchronous with the TBO before the middle of the 1980s, which made the stably positive correlations between them. During 1986-1999, however, whether the tropical central and eastern Pacific SST or Indian Ocean SST, their evolutions were not presenting the characteristics similar to the TBO cycle before 1985, resulting in the correlation between them weakening. In other words, the interdecadal transition of the relationship between the TBO of precipitation over southeast China in MAM and the tropical SST anomaly is closely related to whether the SST evolution in Nino 3.4 area has the significant TBO period in the interannual time series.

• P466