Impact of climatic change on sea surface temperature variation in Subei coastal waters, East China

Ran Wang; Fei Yu

doi:10.1007/s00343-015-3336-2

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Impact of climatic change on sea surface temperature variation in Subei coastal waters, East China

Updated：2023-05-16

- Impact of climatic change on sea surface temperature variation in Subei coastal waters, East China
- Journal of Oceanology and Limnology Vol. 32, Issue 6, Pages: 1406-1413(2014)
- Affiliations：
  
  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
- Author bio：
- Funds：
- DOI：10.1007/s00343-015-3336-2
  CLC：
- Online First：07 August 2014，
  
  Published：2014
- Accepted：
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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：

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：

摘要

Abstract

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.

关键词

Keywords

references

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