Interannual variability and trends in sea surface temperature, sea surface wind, and sea level anomaly in the South China Sea
文献类型：期刊论文
| 作者 | Liu, Chunli; Li, Xue2; Wang, Sufen3; Tang, Danling3; Zhu, Donghe1 |
| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2020 |
| 卷号 | 41期号:11页码:4160 |
| ISSN号 | 0143-1161 |
| 英文摘要 | In this study, we analysed the interannual variability of sea surface temperature (SST), sea surface wind (SSW), and sea level anomaly (SLA) in the South China Sea (SCS) during 1985-2016 using monthly reanalysis and satellite datasets. An empirical orthogonal function (EOF) analysis was performed to evaluate the interannual variability of each variable. The warming rate of SST was 0.18 +/- 0.26 degrees C decade(-1) in the SCS. The first EOF of SST was characterized by basin-wide warming, with the highest anomalies in the northern deep basin. The first temporal coefficient of SST was negatively correlated with the Nino 3.4 index, with a lag of 6 mo. The mean rising rate of SLA was 7.6 cm decade(-1), with the greatest trend in the coastal water of Vietnam, which exhibited a similar spatial pattern with the first EOF of SLA. The temporal coefficient of SLA was negatively correlated with that of SST, with a lag of 5 mo. The trend of SSW was around 0.8 m s(-1) decade(-1) over the SCS. The first EOF of SSW was characterized by an anticyclonic pattern. The temporal coefficient was correlated with that of SST, with a lead of 2 mo. Wavelet coherence was used to investigate the cross-correlation relationship between SST and other variables. SST and SLA had a strong negative correlation in the 8-16-mo (1-1.5 yr) band. The high positive wavelet coherencies between SST and SSW and Nino 3.4 were mainly in the 32-64 mo (3-5 yr) band in the SCS. |
| 源URL | [http://ir.scsio.ac.cn/handle/344004/18303]  |
| 专题 | 南海海洋研究所_热带海洋环境国家重点实验室(LTO) |
| 作者单位 | 1.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangdong Key Lab Remote Sensing, Guangzhou, Peoples R China 2.Shandong Univ, Marine Coll, Weihai, Peoples R China 3.Xiamen Univ, Coll Ocean & Earth Sci, State Key Lab Marine Environm Sci, Xiamen, Peoples R China 4.Zhejiang Univ, Ocean Coll, Zhoushan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Chunli,Li, Xue,Wang, Sufen,et al. Interannual variability and trends in sea surface temperature, sea surface wind, and sea level anomaly in the South China Sea[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2020,41(11):4160, 4173. |
| APA | Liu, Chunli,Li, Xue,Wang, Sufen,Tang, Danling,&Zhu, Donghe.(2020).Interannual variability and trends in sea surface temperature, sea surface wind, and sea level anomaly in the South China Sea.INTERNATIONAL JOURNAL OF REMOTE SENSING,41(11),4160. |
| MLA | Liu, Chunli,et al."Interannual variability and trends in sea surface temperature, sea surface wind, and sea level anomaly in the South China Sea".INTERNATIONAL JOURNAL OF REMOTE SENSING 41.11(2020):4160. |
入库方式： OAI收割
来源：南海海洋研究所
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