Delayed ENSO impact on spring precipitation over North/Atlantic European region

被引:39
作者
Bulic, Ivana Herceg [1 ]
Kucharski, Fred [2 ]
机构
[1] Univ Zagreb, Fac Sci, Dept Geophys, Andrija Mohorovicic Geophys Inst, Zagreb 41000, Croatia
[2] Abdus Salam Int Ctr Theoret Phys, Earth Syst Phys Sect, Trieste, Italy
关键词
NORTH-ATLANTIC OSCILLATION; NINO SOUTHERN-OSCILLATION; SEA-SURFACE TEMPERATURE; EXTRATROPICAL SST ANOMALIES; EL-NINO; TROPICAL ATLANTIC; ATMOSPHERIC CIRCULATION; SEASONAL PREDICTABILITY; VARIABILITY; CLIMATE;
D O I
10.1007/s00382-011-1151-9
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The delayed impact of winter sea-surface temperature (SST) anomalies in tropical Pacific on spring precipitation over the North Atlantic/European (NAE) region is examined using both measured and modeled data for the period 1901-2002. In an AMIP-type Atmospheric General Circulation Model (AGCM) ensemble, the observed delayed spring precipitation response in Europe to winter ENSO-related SST anomalies is well reproduced. A series of targeted AGCM/coupled GCM experiments are performed to further investigate the mechanisms for this delayed influence. It is found that late winter ENSO SST anomalies lead to the well-documented Rossby wave train arching from the Pacific into the Atlantic region. A positive (negative) ENSO event leads to a quasi-barotropic trough (ridge) in the North Atlantic region. The resulting wind and cloud changes cause anomalies in the surface heat fluxes that result in negative (positive) SST anomalies in the central North Atlantic and anomalies of the opposite sign further to the south. The SST anomalies persist into spring and the atmospheric response to these anomalies is an extension of the ENSO-induced trough (ridge) into the European region, leading to enhanced (reduced) moisture flux and low-level convergence (divergence) and thus positive (negative) precipitation anomalies. Although the signal is overall relatively weak (correlation coefficients of European spring rainfall with winter ENSO SSTs of about 0.3), a proper representation of the outlined mechanism in seasonal forecasting systems may lead to improved seasonal predictions.
引用
收藏
页码:2593 / 2612
页数:20
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