Forecasting the El Niño type well before the spring predictability barrier

被引:2
|
作者
Ludescher, Josef [1 ]
Bunde, Armin [2 ]
Schellnhuber, Hans Joachim [1 ]
机构
[1] Potsdam Inst Climate Impact Res PIK, D-14412 Potsdam, Germany
[2] Justus Liebig Univ Giessen, Inst Theoret Phys, D-35392 Giessen, Germany
关键词
TO-INTERANNUAL PREDICTION; ENSO PREDICTION; NINO MODOKI; PACIFIC; MODEL; IMPACTS; EVENTS; SYSTEM;
D O I
10.1038/s41612-023-00519-8
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
El Nino events represent anomalous episodic warmings, which can peak in the equatorial Central Pacific (CP events) or Eastern Pacific (EP events). The type of an El Nino (CP or EP) has a major influence on its impact and can even lead to either dry or wet conditions in the same areas on the globe. Here we show that the difference of the sea surface temperature anomalies between the equatorial western and central Pacific in December enables an early forecast of the type of an upcoming El Nino (p-value < 10(-3)). Combined with a previously introduced climate network-based approach that allows to forecast the onset of an El Nino event, both the onset and type of an upcoming El Nino can be efficiently forecasted. The lead time is about 1 year and should allow early mitigation measures. In December 2022, the combined approach forecasted the onset of an EP event in 2023.
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页数:9
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