Covariances of Spectroscopic Parameter Uncertainties in Microwave Forward Models and Consequences for Remote Sensing

P. Rosenkranz, D. Cimini, M. A. Koshelev, M. Tretyakov
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引用次数: 1

Abstract

Characterization of forward-model accuracy is a part of retrieval error analysis, as discussed by Rodgers [1]. We estimate correlated uncertainties in the spectroscopic parameters of models for atmospheric microwave absorption by water vapor (Rosenkranz [14] as modified by Turner et al. [2]) and oxygen (Tretyakov et al. [3]). The uncertainties can be correlated either by definition of the parameters (as for the water vapor continuum with line widths) or by the way in which they are measured (as for line mixing in the oxygen band). Spectroscopic parameter correlations affect the resulting uncertainty in calculated opacity and brightness temperature at any given frequency, as well as correlations between different frequencies. Uncertainty-covariance matrices have been calculated for the spectroscopic parameters with significant impact on the 20-to 60-GHz band, and the uncertainties are propagated to downwelling brightness temperatures and ground-based temperature profile and water-vapor profile retrievals.
微波正演模型中光谱参数不确定性的协方差及其对遥感的影响
前向模型精度表征是检索误差分析的一部分,Rodgers[1]对此进行了讨论。我们估计了水蒸气(Rosenkranz[14],经Turner等人[2]修正)和氧气(Tretyakov等人[3])大气微波吸收模式的光谱参数的相关不确定性。不确定度可以通过参数的定义(如带线宽的水汽连续体)或测量方法(如氧带的线混合)相关联。光谱参数的相关性影响了在任何给定频率下计算的不透明度和亮度温度的不确定性,以及不同频率之间的相关性。计算了对20 ~ 60 ghz波段有显著影响的光谱参数的不确定性协方差矩阵,并将不确定性传播到下行亮度温度、地面温度剖面和水汽剖面反演中。
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