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题名:
Spatio-temporal Variability in Sea Surface Temperatures for the Yellow Sea based on MODIS Dataset
作者: Liu, Chunli1; Sun, Qiwei2,3; Xing, Qianguo4; Liang, Zhenlin1; Deng, Yue1; Zhu, Lixin1
刊名: OCEAN SCIENCE JOURNAL
ISSN号: 1738-5261
出版日期: 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
学科分类: Marine & Freshwater Biology; Oceanography
DOI: 10.1007/s12601-017-0006-7
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
通讯作者: Deng, Y (reprint author), Shandong Univ, Marine Coll, Weihai 264209, Peoples R China. dengyuedy@163.com
作者部门: 海岸带信息集成与综合管理实验室
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.
研究领域[WOS]: Marine & Freshwater Biology ; Oceanography
项目资助者: National Science Foundation of China(41206166) ; Science and Technology Development Plan Project of Weihai(2014DXGJ36) ; State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences(LTO1608) ; Natural Science Foundation of Shandong Province, China(ZR2010DQ019)
关键词[WOS]: COLD-WATER MASS ; ORTHOGONAL FUNCTION-ANALYSIS ; SANTA-BARBARA CHANNEL ; EAST CHINA SEA ; WARM CURRENT ; EVOLUTION ; PATTERNS
文章类型: Article
收录类别: SCI
原文出处: 查看原文
语种: 英语
WOS记录号: WOS:000397134300001
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.yic.ac.cn/handle/133337/22036
Appears in Collections:海岸带信息集成与综合管理实验室_期刊论文

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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

Recommended Citation:
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.
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文件名: Spatio-temporal Variability in Sea Surface Temperatures for the Yellow Sea based on MODIS Dataset.pdf
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