Comment on “Synergetic use of IASI and TROPOMI space borne sensors for generating a tropospheric methane profile product”

S. Ceccherini
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引用次数: 1

Abstract

Abstract. A great interest is growing about methods that combine measurements from two or more instruments that observe the same species either in different spectral regions or with different geometries. Recently, a method based on the Kalman filter has been proposed to combine IASI and TROPOMI methane products. We show that this method is equivalent to the Complete Data Fusion method. Therefore, the choice between these two methods is driven only by the advantages of the different implementations. From the comparison of the two methods a generalization of the Complete Data Fusion formula, which is valid also in the case that the noise error covariance matrices of the fused products are singular, is derived.
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对“协同使用IASI和TROPOMI星载传感器生成对流层甲烷剖面产品”的评论
摘要人们对结合两种或多种仪器的测量方法越来越感兴趣,这些仪器可以在不同的光谱区域或不同的几何形状中观察同一物种。近年来,提出了一种基于卡尔曼滤波的IASI和TROPOMI甲烷产物相结合的方法。结果表明,该方法等价于完全数据融合方法。因此,在这两种方法之间进行选择仅取决于不同实现的优势。通过对两种方法的比较,导出了完全数据融合公式的推广,该公式在融合产物的噪声误差协方差矩阵为奇异的情况下也是有效的。
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