热带海洋学报 ›› 2015, Vol. 34 ›› Issue (3): 30-35.doi: 10.11978/j.issn.1009-5470.2015.03.004CSTR: 32234.14.j.issn.1009-5470.2015.03.004

• 海洋气象学 • 上一篇    下一篇

热带不稳定波的年际变化及其与ENSO的关系

靳晓琳1, 2, 李忠贤2, 郑志海3, 王大钧4   

  1. 1. 清华大学地球系统科学研究中心, 地球系统数值模拟教育部重点实验室, 北京 100084; 2. 南京信息工程大学, 气象灾害预报预警与评估协同创新中心, 江苏 南京 210044; 3. 国家气候中心, 中国气象局气候研究开放实验室, 北京 10081; 4. 沈阳区域气候中心, 辽宁 沈阳 110166
  • 收稿日期:2014-06-16 修回日期:2014-12-05 出版日期:2015-06-08 发布日期:2015-06-08
  • 作者简介:靳晓琳(1992~)女, 山西省运城市人, 研究生, 研究方向为海气相互作用。E-mail: jinxlin@163.com
  • 基金资助:
    国家自然科学基金项目(41475096); 国家重点基础研究发展计划(2013CB430204); 公益性行业(气象)科研专项(GYHY201306021)

Interannual variability of the TIWs and its relationship with the ENSO

JIN Xiao-lin1, 2, LI Zhong-xian2, ZHENG Zhi-hai3, WANG Da-jun4   

  1. 1. Center for Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Tsinghua University, Beijing 100084, China; 2. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China; 3. Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081, China; 4. Regional Climate Center of Shenyang, Shenyang 110166, China
  • Received:2014-06-16 Revised:2014-12-05 Online:2015-06-08 Published:2015-06-08

摘要: 使用最优插值的1/4°逐日海温再分析资料(NOAA OISST V2.0)逐日海温资料研究了热带不稳定波(TIWs)的年际变化特征及其与厄尔尼诺与南方涛动(ENSO)的关系。结果表明: TIWs一般在每年的5~7月开始出现, 在11~12月末或次年1月末消亡。TIWs和ENSO存在负相关关系, 即在ENSO暖位相年(厄尔尼诺年), TIWs强度减弱; 在ENSO的冷位相年(拉尼娜年), TIWs强度增强。进一步分析表明, 在TIWs活跃的6~12月, 其与ENSO存在很好的负相关, 且相关性在12月最好。对TIWs和尼诺3.4区指数(NINO 3.4) 海表面温度距平(SSTA)进行超前滞后相关分析, 发现在TIWs超前ENSO 2~3个月时两者的相关性最显著, 这意味着TIWs可能对ENSO循环具有调控作用。

关键词: 热带不稳定波, 年际变化, 厄尔尼诺与南方涛动

Abstract: Using NOAA OISST V2.0 reanalysis data, we studied the interannual variability of tropical instability waves (TIWs). Results show that: TIWs usually appear during May and July and are absent in December or next January. A negative relationship is identified between the year-to-year variations of TIWs activity and that of ENSO intensity, with stronger TIWs activity in La Nina years and weaker TIWs activity in El Niño years. The negative relationship is more evident in the active period of TIWs during June and December, and the biggest correlation coefficient is in December. Applying lead/lag correlation analysis on TIWs index and NINO 3.4 SSTA, the results suggest that the maximum correlation coefficient appears when TIWs index leads the ENSO index by 2~3 months, which indicate that the TIWs may modulate the cycle of the ENSO.

Key words: TIWs, interannual variability, ENSO