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TMI海表温度数据在中国南海的适用性评估

Evaluation of TMI sea surface temperature for South China Sea
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摘要 主要目的是评估TMI(TRMM Microwave Imager)的海表温度产品在中国南海的适用性。主要方法是将TMI海温数据分别与实测Argo海温数据和MODIS海温数据相匹配,并计算产品准确度,分析影响因素。评估结果表明:匹配数据的线性关系显著,TMI海温数据与Argo海温数据相比,标准误差为0.66℃,平均偏差-0.08℃,与MODIS数据相比,标准误差为0.58℃,平均偏差0.15℃。评估结果略差于TMI产品在全球范围的准确度(0.57℃)。分析讨论得出,影响反演误差的主要因素有大气衰减、降雨衰减、海面风干扰等。 We focus on the Evaluation of TMI SST products for South China Sea. The main method is to match TMI SST data with Argo SST data and MODIS SST data. Then we calculate the accuracy of the product and analyse the influencing factors. The results show that, the linear relationship of the matched data is significant. Matched with the ARGO data and MODIS data respectively, the RMSE is 0.66℃ and 0. 58℃, mean bias is -0.08℃ and 0.15℃. These results are slightly worse than the accuracy in the global scale (0. 57℃ ). The analysis concluded that the main factors affecting the applicability are atmospheric attenuation, rain attenuation, sea surface wind interference, etc.
出处 《海洋环境科学》 CAS CSCD 北大核心 2014年第2期311-317,共7页 Marine Environmental Science
基金 海洋公益性行业科研专项经费项目(201305003)
关键词 海表温度 微波遥感 TMI 影响因素 反演算法 sea surface temperature (SST) microwave remote sensing TMI influencing factors retrieval algorithm
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