ABSTRACT

In this paper, we study the retrieval of water vapor profiles from simulated FORUM measurements. We show that the bias towards the a-priori introduced by the Optimal Estimation technique can be reduced by using larger errors for the a-priori. Reducing the strength of the a-priori may, however, cause unphysical oscillations in the resulting profiles because of the ill-conditioning of the retrieval problem. An a-posteriori regularization technique, the Iterative Variable Strength method, is thus applied to reduce the amplitude of the oscillations.

中文翻译：

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水汽剖面的自适应 Tikhonov 正则化：在 FORUM 测量中的应用

摘要

在本文中，我们研究了从模拟 FORUM 测量中反演水汽剖面。我们表明，通过使用更大的先验误差可以减少最优估计技术引入的先验偏差。然而，由于检索问题的病态，降低先验的强度可能会导致结果轮廓中的非物理振荡。因此，应用了一种后验正则化技术，即迭代可变强度方法来降低振荡幅度。