Spatiotemporal evolution of sea surface temperature in the East China Sea

doi:10.6046/gtzyyg.2020.04.28

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Abstract

In order to grasp the law of sea surface temperature (SST) change in the East China Sea from 2003 to 2018, the authors analyzed the relationship between SST changes and climate anomalies, and used remote sensing data to monitor the temporal and spatial evolution of SST in the East China Sea for 16 years. With the 2003—2018 MODIS SST product as the data source, the data were first repaired by the nearest neighbor point value replacement method, and the measured data were used to verify the accuracy. The least square method and Pearson correlation coefficient were used to analyze the SST change trend. Through cross-correlation analysis, the correlation between sea surface temperature anomaly (SSTA) and southern oscillation index (SOI) was studied. The results are as follows: ① SST in the East China Sea generally showed an upward trend from 2003 to 2018, and the temperature rise in summer was more obvious. The temperature rise rate in the Yangtze River estuary could reach above 0.042 ℃/a; ② SST in the East China Sea showed a SE—NW distribution, and at the same latitude, SST near the mainland was usually lower than the eastern sea area, but the SST of Hangzhou Bay area from April to September was higher than that of the eastern area; ③ SOI was basically not related to the East China Sea SSTA that was 15 months behind it, but it had a strong negative correlation with the East China Sea SSTA that was 21~39 months behind with correlation coefficient exceeding -0.2. The research results can provide a reference for grasping the laws of climate change and predicting extreme weather.

Keywords sea surface temperature(SST) spatial and temporal variability East China Sea

TP79

Corresponding Authors: MAO Kebiao E-mail: wangping_1997@163.com;maokebiao@caas.cn

Issue Date: 23 December 2020

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	Ping WANG
	Kebiao MAO
	Fei MENG
	Zijin YUAN

Cite this article:

Ping WANG,Kebiao MAO,Fei MENG, et al. Spatiotemporal evolution of sea surface temperature in the East China Sea[J]. Remote Sensing for Land & Resources, 2020, 32(4): 227-235.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020.04.28 OR https://www.gtzyyg.com/EN/Y2020/V32/I4/227

Fig.1 Technology flow chart

Fig.2 Accuracy of MODIS SST after interpolation

Fig.3 Interannual variation of SST of the East China Sea

Fig.4 Spatial distribution of annual average SST change trends in the East China Sea from 2003 to 2018

Fig.5 Interannual variation of SST of the East China Sea in each season

Tab.1 Interannual variation trend of SST in the East China Sea in each season

Fig.6 Monthly variation curve of SST of the East China Sea

Fig.7-1 Spatial distribution of SST of the East China Sea

Fig.7-2 Spatial distribution of SST of the East China Sea

Fig.8 Time series of the SST anomalies of the East China Sea

Tab.2 Relationship between SSTA in the East China Sea and El Ni?o and La Ni?a

Fig.9 Correlation analysis between East China Sea and equatorial Pacific ocean temperature and SOI (from 2003 to 2018)

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