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《Oceanologia Et Limnologia Sinica》 1999-01
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DU Yong; Lu Hong-min; DONG Shen-fu; LING Tie-jun(Department of Oceanography,Ocean University of Qingdao,Qindao,266003)  
Nov. 23-28, 1993 the continuous observation was made by using the underway seasurface remote sensing elements auto-collect system. The observation elements include sea skintemperature (infrared radiant, depth 0.1mm), sea surface temperature (depth lm), wind speed, airtemperature, time etc. Analysis of the observational data showed obvious cormlation between theskin bulk temperature difttrence (6T) and the wind speed, therefore, the wind speed is the mainelement affecting the variation of the 5T value. Considering the complexity of the variation ofthe 6T valuc, it is almost impossible that the relation between the 6T and the other relevantelements is descnbed accurately via a simple mathematics formulation. The fuzzy analysis of therelation between the skin bulk temperature difference and the wind speed, the seaair temperaturedifference and time is made by using the fuzzy reasoning method with the observation data. it isshown that the fuzzy reasoning method is suitable for analyzing the complex relation between theskinbulk difference and the other elements. The correct predichon of the 6T is over 8O%. It isbelieved the accuracy will be improved further with the accumulation of observation data, and it willcontribute to the improvement of the retrieval accuracy of the sea suritice temperature from satellite.
【Fund】: 国家“八五”攻关课题!85-903-08-01
【CateGory Index】: P714.1
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