scholarly journals Comparison of Community Structure of Fish Larvae in the Northern East China Sea in Normal and El Niño/La Niña Periods

2013 ◽  
Vol 46 (6) ◽  
pp. 907-916 ◽  
Author(s):  
Joon-Taek Yoo ◽  
Jung-Hwa Choi ◽  
Jin-Yeong Kim ◽  
Jong-Bin Kim ◽  
Kwang-Ho Choi
Keyword(s):  
Community Structure ◽  
East China Sea ◽  
El Niño ◽  
El Nino ◽  
Fish Larvae ◽  
La Niña ◽  
East China ◽  
China Sea ◽  
La Nina

Variability of the Kuroshio in the East China Sea During El-Nino to La-NiÑa Phenomenon of 1997 and 1998

2001 ◽  
Vol 44 (2) ◽  
pp. 196-207 ◽  
Author(s):  
Yao-Chu YUAN ◽  
Yong-Gang LIU ◽  
Ji-Lan SU
Keyword(s):  
East China Sea ◽  
El Niño ◽  
El Nino ◽  
La Niña ◽  
East China ◽  
The East China Sea ◽  
China Sea ◽  
La Nina ◽  
The Kuroshio

scholarly journals Diversity of East China Summer Rainfall Change in Post-El Niño Summers

2020 ◽  
Vol 8 ◽  
Author(s):  
Wen Zhang ◽  
Xiaoye Zhou ◽  
Pang-Chi Hsu ◽  
Fei Liu
Keyword(s):  
El Niño ◽  
North China ◽  
El Nino ◽  
Summer Rainfall ◽  
La Niña ◽  
East China ◽  
La Nina ◽  
Huaihe River Valley ◽  
Precipitation Anomalies ◽  
Cluster 2

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.

scholarly journals Seasonal variability of copepod community structure and abundance modified by the El Niño-La Niña transition (2010) in the tropical Pacific off central Mexico

2018 ◽  
Vol 66 (4) ◽  
pp. 1449
Author(s):  
Eva R. Kozak ◽  
Aramis Olivos-Ortiz ◽  
Carmen Franco-Gordo ◽  
Gloria Pelayo-Martínez
Keyword(s):  
Community Structure ◽  
El Niño ◽  
Seasonal Variability ◽  
El Nino ◽  
Tropical Pacific ◽  
La Niña ◽  
Central Mexico ◽  
Eastern Tropical Pacific ◽  
La Nina ◽  
Mesoscale Processes

Seasonal variability of the community structure of copepods in the Eastern tropical Pacific off central Mexico was studied during three distinct hydrodynamic periods in 2010 using statistical and multivariate analyses. The survey period included the second half of the 2009-2010 El Niño (January), the neutral transition period (May-June), and the first half of the 2010-2011 La Niña (October). Seventy-eight copepod species were identified; richness ranged from 11 to 47 species per station, with seasonal averages from 25 species in May to 35 species in January. Cluster analysis indicated that there were four principal groups present across the surveyed periods, defined by January (El Niño), October (La Niña), May offshore stations, and May upwelling stations (cyclonic eddy and coastal stations). There were no significant differences in abundance, but the January (El Niño) cluster was most diverse with 32 species, May offshore and October (La Niña) clusters each had 25 species, and the May upwelling was the least diverse cluster with 18 species. Mesoscale processes were strongest during May, which was the only period with a significant inshore-offshore gradient of species richness and diversity. Canonical correspondence analysis (CCA) revealed that variability was primarily driven by subsurface (75-200 m) ammonium, and surface (0-50 m) temperature, nitrates+nitrites, salinity and phosphorus. Copepodites and adults of the primarily herbivorous Eucalanidae dominated the stations of the upwelling cluster, while copepodites and adults of the carnivorous Euchaetidae dominated the January (El Niño) station cluster. The higher Chl a levels during the less productive (reduced upwelling) El Niño period were probably due to reduced grazing activities and increased ammonium availability through increased zooplankton metabolism. The horizontal distribution of copepods in the Eastern Tropical Pacific off Mexico appears to be principally defined by mesoscale eddy processes (offshore) and upwelling (coastal). These mesoscale processes were affected by El Niño - La Niña transitions, which subsequently disrupted the inshore-offshore gradient and in the case of El Niño likely caused reductions in copepod abundance across the entire region which persisted for the entire study period, and possibly longer.

scholarly journals Diversity of Marine Heatwaves in the South China Sea regulated by the ENSO phase

2021 ◽  
pp. 1-51
Author(s):  
Kai Liu ◽  
Kang Xu ◽  
Congwen Zhu ◽  
Boqi Liu
Keyword(s):  
South China Sea ◽  
Latent Heat ◽  
South China ◽  
El Niño ◽  
El Nino ◽  
The South China Sea ◽  
La Niña ◽  
The South ◽  
China Sea ◽  
La Nina

Abstract Marine heatwaves (MHWs) in the South China Sea (SCS) have dramatic impacts on local ecosystems, fisheries, and aquacultures. Our results show that SCS MHWs were strongly regulated by El Niño-Southern Oscillation (ENSO) with a distinct life cycle during 1982–2018. Based on the ENSO-associated sea surface temperature anomaly (SSTA) warming peaks in the SCS, we can classify SCS MHWs into three categories, namely, El Niño-P1 during the first warming peak of El Niño from September to the following February, El Niño-P2 during the second warming peak of El Niño from the following June to September, and La Niña-P1 during the single warming peak of La Niña from the following February to May. The three types of SCS MHWs are all affected by the lower-level enhanced anticyclone over the western North Pacific (WNP), but their physical mechanisms are quite different. In El Niño-P1, SCS MHWs are mostly induced by enhanced net downward shortwave radiation and reduced latent heat flux loss over the southwestern and northern SCS, respectively. In El Niño-P2, SCS MHWs are primarily attributed to weaker entrainment cooling caused by a local enhanced anticyclone and stronger Ekman downwelling in the central-northern SCS. However, in La Niña-P1, SCS MHWs are mainly contributed by the reduced latent heat loss due to the weaker WNP anticyclone centered east of the Philippines on the pentad timescale. The distinct spatial distributions of MHWs show phase locking with ENSO-associated SCS SSTA warming, which provides a potential seasonal forecast of SCS MHWs according to the ENSO phase.

scholarly journals El Niño signals contained in precipitation at the East China Sea

2002 ◽  
Vol 23 ◽  
pp. 31-38 ◽  
Author(s):  
YS Chang ◽  
HS An ◽  
DC Jeon ◽  
JC Nam ◽  
JW Seo
Keyword(s):  
East China Sea ◽  
El Niño ◽  
El Nino ◽  
East China ◽  
The East China Sea ◽  
China Sea
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