Selection of regularization parameters using an atmospheric retrievable index in a retrieval of atmospheric profile
大气廓线参数反演中基于大气可反演指数的正 则化参数选择方法

Using an atmospheric retrievable index and The Nelder-Mead simplex method, a dynamic regularization parameter selection method for the retrieval of atmospheric profile with remote sensing data. And a series of test is carried out with four typical regional profiles. The results show that the ranges of the optimal regularization parameter for different profiles are small. And to improve computational efficiency in the actual retrieval process, the regularization parameter can be approximately taken as a constant. The results provide a valuable method of selecting the regularization parameters in the retrieval of atmospheric profiles using the remote sensing data.