Spatio-temporal Variability in Sea Surface Temperatures for the Yellow Sea based on MODIS Dataset

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室 > 海岸带信息集成与综合管理实验室

	Spatio-temporal Variability in Sea Surface Temperatures for the Yellow Sea based on MODIS Dataset
	Liu, Chunli 1; Sun, Qiwei 2,3; Xing, Qianguo4 ; Liang, Zhenlin 1; Deng, Yue 1; Zhu, Lixin 1
刊名	OCEAN SCIENCE JOURNAL
	2017-03-01
卷号	52 期号:1 页码:1-10
关键词	Yellow Sea sea surface temperature currents empirical orthogonal function analysis
ISSN号	1738-5261
通讯作者	Deng, Y (reprint author), Shandong Univ, Marine Coll, Weihai 264209, Peoples R China. dengyuedy@163.com
产权排序	[Liu, Chunli; Liang, Zhenlin; Deng, Yue; Zhu, Lixin] Shandong Univ, Marine Coll, Weihai 264209, Peoples R China; [Sun, Qiwei] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China; [Sun, Qiwei] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Xing, Qianguo] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
英文摘要	The spatio-temporal variabilities in sea surface temperature (SST) were analyzed using a time series of MODIS datasets for four separate regions in the Yellow Sea (YS) that were located along a north-south axis. The space variant temporal anomaly was further decomposed using an empirical orthogonal function (EOF) for estimating spatially distributed SST. The monthly SSTs showed similar temporal patterns in each region, which ranged from 2.4 degrees C to 28.4 degrees C in the study years 2011 to 2013, with seasonal cycles being stronger at the higher latitudes and weaker at the lower latitudes. Spatially, although there were no significant differences among the four regions (p<0.05) in any year, the geographical distribution of SST was characterized by an obvious gradient whereby SST decreased along the north-south axis. The monthly thermal difference among regions was largest in winter since the SST in the southeast was mainly affected by the Yellow Sea Warm Currents. The EOF1 mode accounted for 56% of the total spatial variance and exhibited a warming signal during the study period. The EOF2 mode accounted for 8% of the total variance and indicated the warm current features in the YS. The EOF3 mode accounted for 6% of the total variance and indicated the topographical features. The methodology used in this study demonstrated the spatio temporal variabilities in the YS.
学科主题	Marine & Freshwater Biology; Oceanography
研究领域[WOS]	Marine & Freshwater Biology ; Oceanography
关键词[WOS]	COLD-WATER MASS ; ORTHOGONAL FUNCTION-ANALYSIS ; SANTA-BARBARA CHANNEL ; EAST CHINA SEA ; WARM CURRENT ; EVOLUTION ; PATTERNS
收录类别	SCI
原文出处	10.1007/s12601-017-0006-7
语种	英语
WOS记录号	WOS:000397134300001
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/22036]
专题	烟台海岸带研究所_海岸带信息集成与综合管理实验室烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
作者单位	1.Shandong Univ, Marine Coll, Weihai 264209, Peoples R China 2.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
推荐引用方式 GB/T 7714	Liu, Chunli,Sun, Qiwei,Xing, Qianguo,et al. Spatio-temporal Variability in Sea Surface Temperatures for the Yellow Sea based on MODIS Dataset[J]. OCEAN SCIENCE JOURNAL,2017,52(1):1-10.
APA	Liu, Chunli,Sun, Qiwei,Xing, Qianguo,Liang, Zhenlin,Deng, Yue,&Zhu, Lixin.(2017).Spatio-temporal Variability in Sea Surface Temperatures for the Yellow Sea based on MODIS Dataset.OCEAN SCIENCE JOURNAL,52(1),1-10.
MLA	Liu, Chunli,et al."Spatio-temporal Variability in Sea Surface Temperatures for the Yellow Sea based on MODIS Dataset".OCEAN SCIENCE JOURNAL 52.1(2017):1-10.