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ASSESSMENT OF INFRARED SOUNDER RADIOMETRIC NOISE FROM ANALYSIS OF SPECTRAL RESIDUALS

机译:通过光谱残留分析评估红外测听辐射噪声

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For the preparation and performance monitoring of thernfuture generation of hyperspectral InfraRed soundersrndedicated to the precise vertical profiling of thernatmospheric state, such as the Meteosat ThirdrnGeneration hyperspectral InfraRed Sounder, a reliablernassessment of the instrument radiometric errorrncovariance matrix is needed.rnIdeally, an inflight estimation of the radiometrric noisernis recommended as certain sources of noise can berndriven by the spectral signature of the observed Earth/rnatmosphere radiance. Also, unknown correlated noisernsources, generally related to incomplete knowledge ofrnthe instrument state, can be present, so a caracterisationrnof the noise spectral correlation is also neeed.rnA methodology, relying on the analysis of post-retreivalrnspectral residuals, is designed and implemented tornderive in-flight the covariance matrix on the basis ofrnEarth scenes measurements. This methodology isrnsuccessfully demonstrated using IASI observations asrnMTG-IRS proxy data and made it possible to highlightrnanticipated correlation structures explained byrnapodization and micro-vibration effects (ghost). Thisrnanalysis is corroborated by a parallel estimation basedrnon an IASI black body measurement dataset and thernresults of an independent micro-vibration model.
机译:为了准备专门针对热大气层状态的垂直垂直剖面的高光谱红外测深仪(例如Meteosat ThirdGeneration高光谱红外测深仪)的产生并对其性能进行监控,理想的方法是对仪器辐射度误差协方差矩阵进行可靠的评估。建议使用noisernis,因为某些噪声源可以通过观测到的地球/大气辐射的光谱特征来驱动。同样,可能会出现未知的相关噪声源,通常与对仪器状态的不完全了解有关,因此也需要对噪声频谱相关性进行特征化。依赖于后复兴后频谱残差分析的方法被设计和实现,用于根据rn场景测量值飞行协方差矩阵。使用IASI观测结果作为MTG-IRS代理数据成功地证明了该方法,并有可能突出显示由切趾和微振动效应(重影)解释的预期相关结构。这种分析得到了IASI黑体测量数据集的并行估计和独立微振动模型结果的证实。

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