A response in the ENSO cycle to an extratropical forcing mechanism during the El Nino to La Nina transition

被引:12
|
作者
Wang, Yafei [1 ]
Lupo, Anthony R. [2 ]
Qin, Jianzhao [1 ]
机构
[1] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
[2] Univ Missouri, Dept Soil Environm & Atmospher Sci, Columbia, MO 65211 USA
基金
中国国家自然科学基金;
关键词
Rossby wave; ENSO cycle; air-sea interaction; INTERANNUAL VARIABILITY; ATMOSPHERE; PACIFIC; MODEL; TELECONNECTIONS; ANOMALIES;
D O I
10.3402/tellusa.v65i0.22431
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Current El Nino-Southern oscillation (ENSO) theory emphasizes that the forcing that drives the cycle mainly exists within tropical regions. However, these ideas are quite limited in explaining completely the occurrence of ENSO. Here, we examine whether extratropical forcing can affect ENSO cycle, specifically the transition from El Nino to La Nina. Although dispersion of the Okhotsk-Japan (OKJ) atmospheric wave train across the mid-latitude North Pacific during June terminates in the subtropics, the associated regime of southward surface wind anomalies could reach Eastern Equatorial Pacific (EEP). The OKJ wave train plays a substantial role in generating a similar underlying sea surface temperature (SST) wave train through a barotropic process in air-sea interactions and after September, it is negatively correlated strongly with the SST around EEP. Strong OKJ propagation in the positive (negative) phase during June is more (less) significantly associated with a subsequent La Nina (El Nino) episode that is matured after October. Negative SST anomalies at the southern end of the SST wave train with strong overlying OKJ propagation in the positive phase during June and the associated southward surface wind anomalies retained its strength by the further infusion of energy and gradual southward displacement joining the negative SST anomalies around EEP after the October when La Nina usually matured in-situ. Strong OKJ propagation in the positive phase during June tends to occur during a quick summer and fall transition period from El Nino to La Nina. This study strongly suggests that extratropical forcing plays an ignored role in affecting ENSO cycle especially in the formation of La Nina, which was not included in current ENSO theory.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] The numerical criteria and characteristics of El Nino and La Nina
    Wang Shiping NMC
    Acta Oceanologica Sinica, 1990, (01) : 51 - 59
  • [32] Impact of El Nino & La Nina on Meteorological Elements
    Sen Jaiswal, Rajasri
    Subitha, T.
    Samuthra, G.
    Punitha, M.
    Vinotha, R.
    REMOTE SENSING OF THE ATMOSPHERE, CLOUDS, AND PRECIPITATION VI, 2016, 9876
  • [33] TRANSIENTS AND THE EXTRATROPICAL RESPONSE TO EL-NINO
    HELD, IM
    LYONS, SW
    NIGAM, S
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 1989, 46 (01) : 163 - 174
  • [34] El Nino and La Nina predictable climate fluctuations
    Philander, SG
    REPORTS ON PROGRESS IN PHYSICS, 1999, 62 (02) : 123 - 142
  • [35] El Nino and La Nina - two coupled oscillations
    不详
    WEATHER, 2018, 73 (09) : 274 - 274
  • [36] Precursors of the El Nino/La Nina onset and their interrelationship
    Kug, Jong-Seong
    Sooraj, K-P.
    Li, Tim
    Jin, Fei-Fei
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2010, 115
  • [37] The unique 2009-2010 El Nino event: A fast phase transition of warm pool El Nino to La Nina
    Kim, WonMoo
    Yeh, Sang-Wook
    Kim, Joo-Hong
    Kug, Jong-Seong
    Kwon, MinHo
    GEOPHYSICAL RESEARCH LETTERS, 2011, 38
  • [38] El Nino and La Nina in highly reflective cloud
    Martin, DW
    Collimore, CC
    Hitchman, MH
    JOURNAL OF CLIMATE, 2004, 17 (17) : 3470 - 3475
  • [39] El Nino dons winter disguise as La Nina
    Cohen, Judah
    NATURE, 2016, 533 (7602) : 179 - 179
  • [40] The relationship between the El Nino/La Nina cycle and the transition chains of four atmospheric oscillations. Part II: The relationship and a new approach to the prediction of El Nino
    Peng Jingbei
    Chen Lieting
    Zhang Qingyun
    ADVANCES IN ATMOSPHERIC SCIENCES, 2014, 31 (03) : 637 - 646