Perturbation Algorithm Applied to Sea Surface Temperature Determination

Roberto Alonso, R. Frouin
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引用次数: 1

Abstract

The determination of the Sea Surface Temperature (SST), as well as the Land Surface Temperature (LST), is typically achieved through the algorithm called Split Windows (SW). This method is compatible with detectors whose Noise Equivalent Delta Temperature (NEDT) is on the order of 0.1 °K or less. The method increases the observation error by a factor of 4 or 5 on the SST determination. The NEDT of un-cooled micro-bolometers detectors (used in small and medium satellites) is in the range of 0.5°K to 1.5°K. To achieve a SST error less than 0.7°K it is necessary to search for other algorithms. In [1] an alternative method is presented, but in this work a new algorithm is presented, based on the theory of perturbations and stochastic process, compatible with the new generation of areal micro-bolometer detector, that allows one to meet the accuracy requirement.
微扰算法在海面温度测定中的应用
海洋表面温度(SST)和陆地表面温度(LST)的测定通常是通过称为分割窗(SW)的算法来实现的。该方法适用于噪声等效δ温度(NEDT)在0.1°K或更小数量级的检测器。该方法使海表温度测定的观测误差增加了4 ~ 5倍。非冷却微辐射热计探测器(用于中小型卫星)的NEDT范围为0.5°K至1.5°K。为了使海表温度误差小于0.7°K,需要寻找其他算法。在[1]中提出了一种替代方法,但在本工作中提出了一种新的算法,该算法基于摄动和随机过程理论,与新一代面微测辐射热计探测器兼容,从而满足精度要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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