| 摘要: |
| 1993．11．23．9：00－11．28.9：00随“东方红”号海洋考察船，采用“走航式海面遥感参数自动观测系统”在青岛近海进行了5个昼夜的连续观测。根据所得资料，首先对表皮水温和表层水温之差与各因子之间的关系进行了分析，然后利用模糊数学方法对所获数据进行了计算。结果表明，海洋表皮水温与表层水温之差（δT）和海面风速、气温与水温之差及太阳辐射等均有明显关系。但此关系难以用传统数学方法准确表述。应用模糊推理方法对δT值的预测取得了良好的结果，δT主要预测值的正确率达80％以上。 |
| 关键词: 表皮水温 表层水温 模糊数学 |
| DOI： |
| 分类号: |
| 基金项目:国家“八五”攻关课题资助项目，85-903-08-01号 |
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| OBSERVATION AND FUZZY MATHEMATICS ANALYSIS OF THE SKIN-BULK TEMPERATURE DIFFERENCE IN THE COASTAL AREA OF QINGDAO |
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DU Yong, Lu Hong-min, DONG Shen-fu, LING Tie-jun
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Department of Oceanography,Ocean University of Qingdao,Qindao,266003
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| Abstract: |
| Nov. 23-28, 1993 the continuous observation was made by using the underway sea surface remote sensing elements auto-collect system. The observation elements include sea skin temperature (infrared radiant, depth<0.1mm), sea surface temperature (depth>1m), wind speed, air temperature, time etc. Analysis of the observational data showed obvious correlation between the skin-bulk temperature difference (δT) and the wind speed, therefore, the wind speed is the main element affecting the variation of the δT value. Considering the complexity of the variation of the δT value, it is almost impossible that the relation between the δT and the other relevant elements is described accurately via a simple mathematics formulation. The fuzzy analysis of the relation between the skin-bulk temperature difference and the wind speed, the sea-air temperature difference and time is made by using the fuzzy reasoning method with the observation data. It is shown that the fuzzy reasoning method is suitable for analyzing the complex relation between the skin-bulk difference and the other elements. The correct prediction of the δT is over 80%. It is believed the accuracy will be improved further with the accumulation of observation data, and it will contribute to the improvement of the retrieval accuracy of the sea surface temperature from satellite. |
| Key words: Sea skin temperature, Sea surface temperature, Fuzzy mathematics |
