ENSO evolution asymmetry: EP versus CP El Nino

被引:18
作者
Chen, Mingcheng [1 ]
Li, Tim [1 ,2 ,3 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Joint Int Res Lab Climate & Environm Change ILCEC, Key Lab Meteorol Disaster,Minist Educ KLME, Nanjing 210044, Peoples R China
[2] Univ Hawaii Manoa, Sch Ocean & Earth Sci & Technol, Int Pacific Res Ctr, Honolulu, HI 96822 USA
[3] Univ Hawaii Manoa, Sch Ocean & Earth Sci & Technol, Dept Atmospher Sci, Honolulu, HI 96822 USA
基金
国家重点研发计划;
关键词
ENSO; Evolution asymmetry; Anomaly GCM experiments; Western north pacific circulation anomaly response;
D O I
10.1007/s00382-021-05654-7
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Through an oceanic mixed-layer heat budget analysis, the dominant processes contributing to the largest decay rate (- 0.37 degrees C/mon) in EP El Nino, the moderate delay rate (- 0.22 degrees C/mon) in CP El Nino and the smallest decay rate (0.13 degrees C/mon) in La Nina, are identified. The result shows that both dynamic (wind induced equatorial ocean waves and thermocline changes) and thermodynamic (net surface solar radiation and latent heat flux changes) processes contribute to a fast decay and thus phase transition in EP El Nino composite, whereas the thermodynamic process has less effect on the decay rate for both CP El Nino and La Nina due to the westward shift of sea surface temperature anomaly (SSTA) centers. Thus, the difference in surface wind stress forcing is critical in contributing to evolution asymmetry between CP El Nino and La Nina, while the difference in both the wind stress and heat flux anomalies contribute to evolution asymmetry between EP El Nino and La Nina. It is interesting to note that El Nino induced anomalous anticyclone over the western North Pacific is stronger and shifts more toward the east during EP El Nino than during CP El Nino, while compared to CP El Nino, the center of an anomalous cyclone during La Nina shifts further to the west. As a consequence, both EP and CP El Nino decay fast and transform into a La Nina episode in the subsequent year, whereas La Nina has a much slower decay rate and re-develops in the second year.
引用
收藏
页码:3569 / 3579
页数:11
相关论文
共 42 条
[1]  
Alexander MA, 2002, J CLIMATE, V15, P2205, DOI 10.1175/1520-0442(2002)015<2205:TABTIO>2.0.CO
[2]  
2
[3]  
An SI, 2004, J CLIMATE, V17, P2399, DOI 10.1175/1520-0442(2004)017<2399:NAAOE>2.0.CO
[4]  
2
[5]   The "normality" of El Nino [J].
Burgers, G ;
Stephenson, DB .
GEOPHYSICAL RESEARCH LETTERS, 1999, 26 (08) :1027-1030
[6]   A reanalysis of ocean climate using Simple Ocean Data Assimilation (SODA) [J].
Carton, James A. ;
Giese, Benjamin S. .
MONTHLY WEATHER REVIEW, 2008, 136 (08) :2999-3017
[7]   Causes of Strengthening and Weakening of ENSO Amplitude under Global Warming in Four CMIP5 Models [J].
Chen, Lin ;
Li, Tim ;
Yu, Yongqiang .
JOURNAL OF CLIMATE, 2015, 28 (08) :3250-3274
[8]   Why 1986 El Nino and 2005 La Nina evolved different from a typical El Nino and La Nina [J].
Chen, Mingcheng ;
Li, Tim .
CLIMATE DYNAMICS, 2018, 51 (11-12) :4309-4327
[9]   Relative Roles of Dynamic and Thermodynamic Processes in Causing Evolution Asymmetry between El Nino and La Nina [J].
Chen, Mingcheng ;
Li, Tim ;
Shen, Xinyong ;
Wu, Bo .
JOURNAL OF CLIMATE, 2016, 29 (06) :2201-2220
[10]   Analysis of the non-linearity in the pattern and time evolution of El Nio southern oscillation [J].
Dommenget, Dietmar ;
Bayr, Tobias ;
Frauen, Claudia .
CLIMATE DYNAMICS, 2013, 40 (11-12) :2825-2847