scholarly journals Influence of the strongest central Pacific El Niño–Southern Oscillation events on the precipitation in eastern China

2019 ◽  
Vol 39 (6) ◽  
pp. 3076-3090 ◽  
Author(s):  
Yan Li ◽  
Baisheng Ma ◽  
Juan Feng ◽  
Yao Lu
2001 ◽  
Vol 106 (D23) ◽  
pp. 32539-32553 ◽  
Author(s):  
Melody A. Avery ◽  
David J. Westberg ◽  
Henry E. Fuelberg ◽  
Reginald E. Newell ◽  
Bruce E. Anderson ◽  
...  

2019 ◽  
Vol 54 (1-2) ◽  
pp. 1043-1056 ◽  
Author(s):  
Suqiong Hu ◽  
Wenjun Zhang ◽  
Andrew G. Turner ◽  
Jiaren Sun

2014 ◽  
Vol 27 (16) ◽  
pp. 6225-6244 ◽  
Author(s):  
Claudia Frauen ◽  
Dietmar Dommenget ◽  
Nicholas Tyrrell ◽  
Michael Rezny ◽  
Scott Wales

Abstract El Niño–Southern Oscillation (ENSO) has significant variations and nonlinearities in its pattern and strength. ENSO events vary in their position along the equator, with some located in the central Pacific (CP) and others in the east Pacific (EP). To study how these variations are reflected in global ENSO teleconnections, both observations and idealized atmospheric general circulation model (AGCM) simulations are analyzed. Clear nonlinearities exist in observed teleconnections of sea level pressure (SLP) and precipitation. However, it is difficult to distinguish if these are caused by the different signs, strengths, or spatial patterns of events (strong El Niño events mostly being EP events and strong La Niña events mostly being CP events) or by combinations of these. Therefore, sensitivity experiments are performed with an AGCM forced with idealized EP and CP ENSO sea surface temperature (SST) patterns with varying signs and strengths. The response is generally stronger for warm events than for cold events and the teleconnection patterns vary with changing SST anomaly patterns. EP events show stronger nonlinearities than CP events. The nonlinear responses to ENSO events can be explained as a combination of nonlinear responses to a linear ENSO (fixed pattern but varying signs and strengths) and a linear response to a nonlinear ENSO (varying patterns). Any observed event is a combination of these aspects. While in most tropical regions these add up, leading to stronger nonlinear responses than expected from the single components, in some regions they cancel each other, resulting in little overall nonlinearity. This leads to strong regional differences in ENSO teleconnections.


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