Blend with the Sea Surface Temperature from Different Satellites and Their Comparison in the Southeast Pacific Ocean
文献类型： 外文期刊
作者： Wu, Yumei 1 ; Tang, Fenghua 1 ; Dai, Yang 1 ; Wang, Fei 1 ; Shi, Yongchuang 1 ; Zhang, Shengmao 1 ;
作者机构： 1.Chinese Acad Fishery Sci, East China Sea Fisheries Res Inst, Key & Open Lab Remote Sensing Informat Technol Fis, Shanghai 200090, Peoples R China
2.Minist Agr & Rural Affairs, Key Lab Fisheries Remote Sensing, Shanghai 200090, Peoples R China
关键词： sea surface temperature; blend; coverage rate; observation day
期刊名称：JOURNAL OF OCEAN UNIVERSITY OF CHINA （ 影响因子：1.6； 五年影响因子：1.5 ）
ISSN： 1672-5182
年卷期： 2023 年 22 卷 2 期
页码：
收录情况： SCI
摘要： The daily sea surface temperature (SST) data from three kinds of different satellites of GMI, GOES and MODIS were applied to do the blend in the Southeast Pacific Ocean throughout the whole year of 2020. The coverage rates of the SST of the blend result were improved highly and more stable throughout the whole year, compared with the result of the single satellite of GMI, GOES, and MODIS. The yearly average coverage rates of GMI, GOES, MODIS, and blend were 43%, 48%, 30%, and 76%, and their corresponding yearly average standard deviation (SD) were 4%, 6%, 7%, and 4%, respectively. All the coverage rates of these three satellites were low from April to September. The valid observation days calculated in the whole year over every grid were used to represent the spatial distribution patterns of the coverage rates. The spatial distribution patterns of coverage rates from GOES and MODIS were similar that their valid observation days were higher in the northwest area and lower in the south area, and those of GMI was contrary to the former two. The ranges of valid observation day was from GOES, GMI, and MODIS were 0-364, 6-254, and 9-231d, respectively. After the blend, all the observation day of every grid in the research region was enhanced (103-366 d). Especially the near shore and south area, and the minimum valid observation day increased largely from the single digits to hundreds digit.
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