A data analysis study on the evolution of the El Niño/ La Niña cycle

被引:15
|
作者
Chao Jiping
Yuan Shaoyu
Chao Qingchen
Tian Jiwei
机构
[1] National Marine Environment Forecast Center,
[2] Ocean University of Qingdao,undefined
[3] National Climate Center,undefined
关键词
El Nino (La Niña) events; curved surface of maximum sea temperature anomaly; Kelvin wave and Rossby wave; air-sea interaction;
D O I
10.1007/s00376-002-0048-2
中图分类号
学科分类号
摘要
The curved surface of the maximum sea temperature anomaly (MSTA) was created from the JEDAC subsurface sea temperature anomaly data at the tropical Pacific between 1955 and 2000. It is quite similar to the depth distribution of the 20°C isotherm, which is usually the replacement of thermocline. From the distribution and moving trajectory of positive or negative sea temperature anomalies (STA) on the curved surface we analyzed all the El Nino and La Niña events since the later 1960s. Based on the analyses we found that, using the subsurface warm pool as the beginning point, the warm or cold signal propagates initially eastward and upward along the equatorial curved surface of MSTA to the eastern Pacific and stays there several months and then to turn north, usually moving westward near 10°N to western Pacific and finally propagates southward to return to warm pool to form an off-equator closed circuit. It takes about 2 to 4 years for the temperature anomaly to move around the cycle. If the STA of warm (cold) water is strong enough, there will be two successive El Nino (La Niña) events during the period of 2 to 4 years. Sometime, it becomes weak in motion due to the unsuitable oceanic or atmospheric condition. This kind process may not be considered as an El Niño (La Niña) event, but the moving trajectory of warm (cold) water can still be recognized. Because of the alternate between warm and cold water around the circuits, the positive (negative) anomaly signal in equatorial western Pacific coexists with negative (positive) anomaly signal near 10°N in eastern Pacific before the outbreak of El Nino (La Niña) event. The signals move in the opposite directions. So it appears as El Nino (La Niña) in equator at 2-4 years intervals. The paper also analyzed several exceptional cases and discussed the effect and importance of oceanic circulation in the evolution of El Nino / La Niña event.
引用
收藏
页码:837 / 844
页数:7
相关论文
共 50 条
  • [1] El Niño-La Niña cycle and recent trends in continental evaporation
    Miralles D.G.
    Van Den Berg M.J.
    Gash J.H.
    Parinussa R.M.
    De Jeu R.A.M.
    Beck H.E.
    Holmes T.R.H.
    Jiménez C.
    Verhoest N.E.C.
    Dorigo W.A.
    Teuling A.J.
    Johannes Dolman A.
    [J]. Nature Climate Change, 2014, 4 (2) : 122 - 126
  • [2] Why 1986 El Niño and 2005 La Niña evolved different from a typical El Niño and La Niña
    Mingcheng Chen
    Tim Li
    [J]. Climate Dynamics, 2018, 51 : 4309 - 4327
  • [3] A data analysis study on the evolution of the El Nino/La Nina cycle
    Chao, JP
    Yuan, SY
    Chao, QC
    Tian, JW
    [J]. ADVANCES IN ATMOSPHERIC SCIENCES, 2002, 19 (05) : 837 - 844
  • [4] El Niño dons winter disguise as La Niña
    Judah Cohen
    [J]. Nature, 2016, 533 : 179 - 179
  • [5] Footprints of El Niño La Niña on the evolution of particulate matter over subtropical Island Taiwan
    Yen-Ta Fu
    Ming-Cheng Yen
    Neng-Huei Lin
    Hai Bui-Manh
    Cheng-Chih Lin
    Jia-Yuh Yu
    Chi-Ming Peng
    Duc-Tu Dinh
    [J]. npj Climate and Atmospheric Science, 6
  • [6] The Relationship between the El Nio/La Nia Cycle and the Transition Chains of Four Atmospheric Oscillations. Part Ⅱ:The Relationship and a New Approach to the Prediction of El Nio
    PENG Jingbei
    CHEN Lieting
    ZHANG Qingyun
    [J]. Advances in Atmospheric Sciences, 2014, 31 (03) : 637 - 646
  • [7] Revisiting Asymmetry for the Decaying Phases of El Ni?o and La Ni?a
    CHEN Wei
    LU Ri-Yu
    Buwen DONG
    [J]. Atmospheric and Oceanic Science Letters, 2014, 7 (04) : 275 - 278
  • [9] The relationship between the El Niño/La Niña cycle and the transition chains of four atmospheric oscillations. Part II: The relationship and a new approach to the prediction of El Niño
    Jingbei Peng
    Lieting Chen
    Qingyun Zhang
    [J]. Advances in Atmospheric Sciences, 2014, 31 : 637 - 646
  • [10] Indices of El Nio and El Nio Modoki:An Improved El Nio Modoki Index
    李根
    任保华
    杨成昀
    郑建秋
    [J]. Advances in Atmospheric Sciences, 2010, 27 (05) : 1210 - 1220