Understanding Bias in the Evaporative Damping of El Nino-Southern Oscillation Events in CMIP5 Models

被引:8
作者
Ferrett, Samantha [1 ]
Collins, Matthew [1 ]
Ren, Hong-Li [2 ,3 ,4 ]
机构
[1] Univ Exeter, Coll Engn Math & Phys Sci, Exeter, Devon, England
[2] China Meteorol Adm, Natl Climate Ctr, Lab Climate Studies, Beijing, Peoples R China
[3] China Univ Geosci, Sch Environm Studies, Dept Atmospher Sci, Wuhan, Hubei, Peoples R China
[4] Nanjing Univ, Sch Atmospher Sci, CMA Nanjing Univ Joint Lab Climate Predict Studie, Nanjing, Jiangsu, Peoples R China
基金
英国自然环境研究理事会;
关键词
OCEAN-ATMOSPHERE MODELS; SEA-SURFACE TEMPERATURE; COUPLED OCEAN; DOUBLE-ITCZ; TROPICAL PACIFIC; SEASONAL CYCLE; NORTH PACIFIC; HEAT FLUXES; ENSO; CLIMATOLOGY;
D O I
10.1175/JCLI-D-16-0748.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This study examines the extent of the Pacific double-intertropical convergence zone (ITCZ) bias in an ensemble of CMIP5 coupled general circulation models and the relationship between this common bias and equatorial Pacific evaporative heat flux feedbacks involved in El Nino-Southern Oscillation (ENSO). A feedback decomposition method, based on the latent heat flux bulk formula, is implemented to enable identification of underlying causes of feedback bias and diversity from dynamical and thermodynamical processes. The magnitude of mean precipitation south of the equator in the east Pacific (an indicator of the extent of the double-ITCZ bias in a model) is linked to the mean meridional surface wind speed and direction in the region and is consequently linked to diversity in the strength of the wind speed response during the ENSO cycle. The ENSO latent heat flux damping is weak in almost all models and shows a relatively large range in strength in the CMIP5 ensemble. While both humidity gradient and wind speed feedbacks are important drivers of the damping, the wind speed feedback is an underlying cause of the overall damping bias for many models and is ultimately more dominant in driving interensemble variation. Feedback biases can also persist in atmosphere-only (AMIP) runs, suggesting that the atmosphere model plays an important role in latent heat flux damping and double-ITCZ bias and variation. Improvements to coupled model simulation of both mean precipitation and ENSO may be accelerated by focusing on the atmosphere component.
引用
收藏
页码:6351 / 6370
页数:20
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