This article uses NOAA global monthly average sea surface temperature data with spatial resolution of 2° × 2°and NINO 3.4 index from 1951 to 2017 to further explore the response of the South China Sea temperature anomaly to El NINO's through synthetic analysis,correlation analysis and continuous power spectrum analysis.The study shows that:The sea surface temperature of the South China Sea has a significant warming trend from 1951 to 2017,and its sea temperature turns abnormal every 3 to 4 years;The SSTA in the South China Sea has a certain correlation with the NINO 3.4 index,and the best correlation with the NINO 3.4 index in the southwest of the South China Sea;SP-type El NINO sea surface temperature in the South China Sea firstly has a negative anomaly in the spring of the year of occurrence and then turns positive anomaly in the winter and continues into the summer of the year of recession;The SU type El NINO shows a negative anomaly in the spring of the year of occurrence,which lasts until the fall,and then another negative anomaly in the spring of the year of recession,which continues to show negative anomalies in the fall and winter of recession year.
SST in the South China SeaEl NINOtemporal and spatial distribution
国家科技期刊平台
NSTL
维普
万方数据
