4.5 Article

The correlation between ENSO events and sea surface temperature anomaly in the Bohai Sea and Yellow Sea

Journal

REGIONAL STUDIES IN MARINE SCIENCE
Volume 35, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.rsma.2020.101228

Keywords

ENSO events; The Bohai Sea and Yellow Sea; SSTA; Correlation analysis; EOF analysis

Funding

  1. Open Fund of Key Laboratory of Marine Environmental Information Technology, China
  2. LiaoNing Revitalization Talents Program, China [XLYC1807161]
  3. Dalian High-level Talents Innovation Support Plan, China [2017RQ063]
  4. Dalian Ocean University, China Zhanlan scholar'' Program
  5. National Natural Science Foundation of China [41206013, 41430963]
  6. Public Science and Technology Research Funds Projects of Ocean [201205018]
  7. National Science and Technology Support Project, China [2014BAB12B02]
  8. Projects of Institute of Marine Industry Technology of Liaoning Universities, China

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The sea surface temperatures (SST) reanalysis daily average product in West Pacific Ocean with resolution of 0. 25 degrees similar to 0.125 degrees is used to study the relationship between the El Nino and Southern Oscillation (ENSO) events and the sea surface temperature anomaly (SSTA) in the Bohai Sea and Yellow Sea The results show that: 1) A certain correlation between the SSTA in the Bohai Sea and Yellow Sea and ENSO events in winter, but there is no obvious correlation in summer. 2)The SSTA in the Bohai Sea and Yellow Sea has a good lag correlation with the SSTA (ONI index) in NINO3.4 (5 degrees N-5 degrees S and 170 degrees W-120 degrees W) area. The strongest correlation is shown when the time series lags six months, and that of the La Nino years is higher than the El Nino years. 3) The first three modes of EOF analysis of SST in winter explained more than 80% of SST changes, and the modes were closely related to ENSO events. The results show that the winter SSTA in the Bohai Sea and Yellow Sea is closely related to the occurrence of ENSO events in the tropical Pacific. (C) 2020 Elsevier B.V. All rights reserved.

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