scholarly journals Contribution of the phase transition of Pacific Decadal Oscillation to the late 1990s' shift in East China summer rainfall

2015 ◽  
Vol 120 (17) ◽  
pp. 8817-8827 ◽  
Author(s):  
Yali Zhu ◽  
Huijun Wang ◽  
Jiehua Ma ◽  
Tao Wang ◽  
Jianqi Sun
2021 ◽  
Author(s):  
Zhenghui Lu ◽  
Naiming Yuan ◽  
Qing Yang ◽  
Zhuguo Ma ◽  
Juergen Kurths

<p><span>Obtaining an efficient prediction of the Pacific Decadal Oscillation (PDO) phase transition </span><span>is a worldwide challenge. Here, we employed the climate network analysis to uncover early </span><span>warning signals prior to a PDO phase transition. This way an examination of cooperative </span><span>behavior in the PDO region revealed an enhanced signal that propagated from the western </span><span>Pacific to the northwest coast of North America. The detection of this signal corresponds </span><span>very well to the time when the upper ocean heat content in the off-equatorial northwestern </span><span>tropical Pacific reaches a threshold, in which case a PDO phase transition may be expected </span><span>with the arising of the next El Niño/La Niña event. The objectively detected early warning </span><span>signal successfully forewarned all the six PDO phase transitions from the 1890s to 2000s, and </span><span>also underpinned the possible PDO phase transition around 2015, which may be triggered </span><span>by the strong El Niño event in 2015-2016.</span></p>


2020 ◽  
Vol 8 ◽  
Author(s):  
Wen Zhang ◽  
Xiaoye Zhou ◽  
Pang-Chi Hsu ◽  
Fei Liu

East China has experienced positive precipitation anomalies in post-El Niño summers, mainly in the Yangtze-Huaihe River Valley. This kind of monsoonal rainfall change induced by El Niño, however, is not always the same due to El Niño diversity and mean state change. Here, we use cluster analysis on the post-El Niño (PE) East China summer precipitation anomalies to identify the diversity of this El Niño-induced monsoon change. The result shows that PE East China summer rainfall anomalies mainly display three different modes for all selected 20 El Niño events from 1957 to 2016. Cluster 1 shows the middle and lower reaches of the Yangtze River demonstrate strong wet anomalies, while South and North China are dominated by dry anomalies, similar to a sandwich mode. Cluster 2 is distinguished by dry anomalies over South China and wet anomalies over North China, exhibiting a dipole mode. Compared with Cluster 1, the change caused by Cluster 3 is different, showing negative anomalies over the Yangtze-Huaihe River Valley. The three clusters are correlated with successive events of El Niño, a quick transfer to a strong La Niña and a quick transfer to a weak La Niña respectively. The associated anomalous anticyclone (AAC) focuses on (120°E, 20°N) in Cluster 1, which expands southward for Cluster 2 and moves eastward for Cluster 3. The feedback of AAC-sea surface temperature (SST) mainly works for supporting the AAC in Cluster 1, but it is weak for Cluster 2; the strong easterly anomalies related to La Niña contribute to the AAC location change for Cluster 2. Both AAC-SST feedback and easterly anomalies support the AAC of Cluster 3. The CMIP5 output can capture these diverse responses in circulation except that their simulated AAC for Cluster 1 is significant to the east of the observed.


2011 ◽  
Vol 4 (2) ◽  
pp. 91-97 ◽  
Author(s):  
Zeng Xian-Feng ◽  
Li Bo ◽  
Feng Lei ◽  
Liu Xiao-Juan ◽  
Zhou Tian-Jun

2018 ◽  
Vol 61 (4) ◽  
pp. 473-482 ◽  
Author(s):  
Jiahui Yao ◽  
Linxiang Xiao ◽  
Mengmeng Gou ◽  
Chao Li ◽  
Ergang Lian ◽  
...  

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