ENSO representation in climate models: from CMIP3 to CMIP5

被引:700
作者
Bellenger, H. [1 ]
Guilyardi, E. [1 ,2 ]
Leloup, J. [1 ]
Lengaigne, M. [1 ]
Vialard, J. [1 ]
机构
[1] IPSL, MNHN, IRD, LOCEAN,UMPC,CNRS, Paris, France
[2] Univ Reading, NCAS Climate, Reading, Berks, England
关键词
EL-NINO; ATMOSPHERE FEEDBACKS; SURFACE-TEMPERATURE; SEASONAL CYCLE; OCEAN; VARIABILITY; SIMULATION; CONVECTION; IMPACTS; ROLES;
D O I
10.1007/s00382-013-1783-z
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
We analyse the ability of CMIP3 and CMIP5 coupled ocean-atmosphere general circulation models (CGCMs) to simulate the tropical Pacific mean state and El Nio-Southern Oscillation (ENSO). The CMIP5 multi-model ensemble displays an encouraging 30 % reduction of the pervasive cold bias in the western Pacific, but no quantum leap in ENSO performance compared to CMIP3. CMIP3 and CMIP5 can thus be considered as one large ensemble (CMIP3 + CMIP5) for multi-model ENSO analysis. The too large diversity in CMIP3 ENSO amplitude is however reduced by a factor of two in CMIP5 and the ENSO life cycle (location of surface temperature anomalies, seasonal phase locking) is modestly improved. Other fundamental ENSO characteristics such as central Pacific precipitation anomalies however remain poorly represented. The sea surface temperature (SST)-latent heat flux feedback is slightly improved in the CMIP5 ensemble but the wind-SST feedback is still underestimated by 20-50 % and the shortwave-SST feedbacks remain underestimated by a factor of two. The improvement in ENSO amplitudes might therefore result from error compensations. The ability of CMIP models to simulate the SST-shortwave feedback, a major source of erroneous ENSO in CGCMs, is further detailed. In observations, this feedback is strongly nonlinear because the real atmosphere switches from subsident (positive feedback) to convective (negative feedback) regimes under the effect of seasonal and interannual variations. Only one-third of CMIP3 + CMIP5 models reproduce this regime shift, with the other models remaining locked in one of the two regimes. The modelled shortwave feedback nonlinearity increases with ENSO amplitude and the amplitude of this feedback in the spring strongly relates with the models ability to simulate ENSO phase locking. In a final stage, a subset of metrics is proposed in order to synthesize the ability of each CMIP3 and CMIP5 models to simulate ENSO main characteristics and key atmospheric feedbacks.
引用
收藏
页码:1999 / 2018
页数:20
相关论文
共 63 条
[1]   ENSO simulation in coupled ocean-atmosphere models: are the current models better? [J].
AchutaRao, Krishna ;
Sperber, Kenneth R. .
CLIMATE DYNAMICS, 2006, 27 (01) :1-15
[2]  
[Anonymous], CLIM DYN
[3]  
BARNETT TP, 1991, J CLIMATE, V4, P487, DOI 10.1175/1520-0442(1991)004<0487:OEP>2.0.CO
[4]  
2
[5]  
BJERKNES J, 1969, MON WEATHER REV, V97, P163, DOI 10.1175/1520-0493(1969)097<0163:ATFTEP>2.3.CO
[6]  
2
[7]   Spatial and temporal structure of Tropical Pacific interannual variability in 20th century coupled simulations [J].
Capotondi, Antonietta ;
Wittenberg, Andrew ;
Masina, Simona .
OCEAN MODELLING, 2006, 15 (3-4) :274-298
[8]  
Chiang JCH, 2001, J ATMOS SCI, V58, P1371, DOI 10.1175/1520-0469(2001)058<1371:RROEHA>2.0.CO
[9]  
2
[10]   The impact of global warming on the tropical Pacific ocean and El Nino [J].
Collins, Mat ;
An, Soon-Il ;
Cai, Wenju ;
Ganachaud, Alexandre ;
Guilyardi, Eric ;
Jin, Fei-Fei ;
Jochum, Markus ;
Lengaigne, Matthieu ;
Power, Scott ;
Timmermann, Axel ;
Vecchi, Gabe ;
Wittenberg, Andrew .
NATURE GEOSCIENCE, 2010, 3 (06) :391-397