

FOLLOWUS
1. Institute of Oceanology Chinese Academy of Sciences
2. Key Laboratory of Ocean Circulation and Waves Chinese Academy of Sciences
3. University of Chinese Academy of Sciences
4. Research & Development Center of Marine Environmental Engineering and Technology Institute of Oceanology Chinese Academy of Sciences
网络首发:2014-08-07,
纸质出版:2014
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Impact of climatic change on sea surface temperature variation in Subei coastal waters, East China[J]. 海洋湖沼学报(英文), 2014,32(6):1406-1413.
Wang, R., Yu, F. Impact of climatic change on sea surface temperature variation in Subei coastal waters, East China., Chin. J. Ocean. Limnol. 32, 1406–1413 (2014). https://doi.org/10.1007/s00343-015-3336-2
Impact of climatic change on sea surface temperature variation in Subei coastal waters, East China[J]. 海洋湖沼学报(英文), 2014,32(6):1406-1413. DOI: 10.1007/s00343-015-3336-2.
Wang, R., Yu, F. Impact of climatic change on sea surface temperature variation in Subei coastal waters, East China., Chin. J. Ocean. Limnol. 32, 1406–1413 (2014). https://doi.org/10.1007/s00343-015-3336-2 DOI:
Sea surface temperature (SST) variation in the Subei coastal waters
East China
which is important for the ecological environment of the Yellow Sea where Enteromorpha prolifera blooms frequently
is affected by the East Asian winter monsoon (EAWM)
El Niño-Southern Oscillation (ENSO)
and Pacific Decadal Oscillation (PDO). In this study
correlations between climatic events and SST anomalies (SSTA) around the Subei (North Jiangsu Province
East China) Coast from 1981–2012 are analyzed
using empirical orthogonal function (EOF) and correlation analyses. First
a key region was determined by EOF analysis to represent the Subei coastal waters. Then
coherency analyses were performed on this key region. According to the correlation analysis
the EAWM index has a positive correlation with the spring and summer SSTA of the key region. Furthermore
the Niño3.4 index is negatively correlated with the spring and summer SSTA of the key region 1 year ahead
and the PDO has significant negative coherency with spring SSTA and negative coherency with summer SSTA in the key region 1 year ahead. Overall
PDO exhibits the most significant impact on SSTA of the key region. In the key region
all these factors are correlated more significantly with SSTA in spring than in summer. This suggests that outbreaks of Enteromorpha prolifera in the Yellow Sea are affected by global climatic changes
especially the PDO.
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