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A Method of Extracting High Precision Point to Replace in-situ SST Data

机译:提取高精度点以替换原位SST数据的方法

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摘要

Using thirteen satellites sea surface temperature (SST) from infrared radiometers (AVHRR, MODIS) and microwave radiometers (TMI, AMSR), a set of high-quality, cloud-free, high-resolution(0.25°) merged SST product was generated through a method of extended revisal point. The area of merged SST product and extended revisal point product [15.875-40.125°N, 105.875-130.125°E] cover the whole China Sea. The experimental results show that the number of extension correct point will be hundreds of thousands times as many as in-situ SST data. It only has a small deviation by comparison with in-situ SST data, and the precision between the two is similar. Therefore, extension correct point can replace in-situ data under certain conditions. This study will offer a wider SST reference corrections data for quality evaluation, multi-source remote sensing, and assimilation technology.
机译:使用红外线辐射仪(AVHRR,MODIS)和微波辐射仪(TMI,AMSR)的十三颗卫星海表面温度(SST),一套高质量,无云,高分辨率(0.25°)合并SST产品 通过扩展重归点的方法产生。 合并的SST产品和扩展重争点产品的领域[15.875-40.125° n,105.875-130.125° e]覆盖整个中国海。 实验结果表明,延伸次数正确点将是原位SST数据的数十万次。 通过与原位SST数据进行比较,它只具有小的偏差,并且两者之间的精度是相似的。 因此,扩展正确点可以在某些条件下替换原位数据。 本研究将为质量评估,多源遥感和同化技术提供更广泛的SST参考校正数据。

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