Evaluation and fusion of SST data from MTSAT and TMI in East China Sea, Yellow Sea and Bohai Sea in 2008

doi:10.1007/s00343-012-1176-x

IOCAS-IR > 海洋环流与波动重点实验室

	Evaluation and fusion of SST data from MTSAT and TMI in East China Sea, Yellow Sea and Bohai Sea in 2008
	Wu Yumei 1; Shen Hui 2; Cui Xuesen 1; Yang Shenglong 1; Fan Wei 1; Fan, W (reprint author), E China Sea Fisheries Res Inst, Minist Agr, Key Lab Marine & Estuarine Fisheries, Shanghai 200090, Peoples R China.
	2012-07-01
发表期刊	CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY
ISSN	0254-4059
卷号	30 期号:4 页码:697-702
文章类型	Article
摘要	Two typical satellite sea surface temperature (SST) datasets, from the Multi-functional Transport Satellite (MTSAT) and Tropical Rainfall Measuring Mission Microwave Imager (TMI), were evaluated for the East China Sea, Yellow Sea, and Bohai Sea throughout 2008. Most monthly-mean availabilities of MTSAT are higher than those of TMI, whereas the seasonal variation of the latter is less than that of the former. The analysis on the one-year data shows that the annual mean availability of MTSAT (61%) is greater than that of TMI (56%). This is mainly because MTSAT is a geostationary satellite, which achieves longer observation than the sun-synchronous TMI. The daily availability of TMI (28%-75%) is more constant than that of MTSAT (9%-93%). The signal of infrared sensors on MTSAT is easily disturbed on cloudy days. In contrast, the TMI microwave sensor can obtain information through clouds. Based on in-situ SSTs, the SST accuracy of TMI is superior to that of MTSAT. In 2008, the root mean square (RMS) error of TMI and MTSAT were 0.77 K and 0.84 K, respectively. The annual mean biases were 0.14 K (TMI) and -0.31 K (MTSAT). To attain a high availability of SSTs, we propose a fusion method to merge both SSTs. The annual mean availability of fusion SSTs increases 17% compared to MTSAT. In addition, the availabilities of the fusion SSTs become more constant. The annual mean RMS and bias of fusion SSTs (0.78 K and -0.06 K, respectively) are better than those of MTSAT (0.84 K and -0.31 K).
关键词	Satellite Sst Availability Fusion Root Mean Square Bias
学科领域	Limnology ; Oceanography
DOI	10.1007/s00343-012-1176-x
URL	查看原文
收录类别	SCI
语种	英语
WOS记录号	WOS:000305906700023
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/12146
专题	海洋环流与波动重点实验室
通讯作者	Fan, W (reprint author), E China Sea Fisheries Res Inst, Minist Agr, Key Lab Marine & Estuarine Fisheries, Shanghai 200090, Peoples R China.
作者单位	1.E China Sea Fisheries Res Inst, Minist Agr, Key Lab Marine & Estuarine Fisheries, Shanghai 200090, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China
推荐引用方式 GB/T 7714	Wu Yumei,Shen Hui,Cui Xuesen,et al. Evaluation and fusion of SST data from MTSAT and TMI in East China Sea, Yellow Sea and Bohai Sea in 2008[J]. CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2012,30(4):697-702.
APA	Wu Yumei,Shen Hui,Cui Xuesen,Yang Shenglong,Fan Wei,&Fan, W .(2012).Evaluation and fusion of SST data from MTSAT and TMI in East China Sea, Yellow Sea and Bohai Sea in 2008.CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,30(4),697-702.
MLA	Wu Yumei,et al."Evaluation and fusion of SST data from MTSAT and TMI in East China Sea, Yellow Sea and Bohai Sea in 2008".CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY 30.4(2012):697-702.

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