Retrieval of atmospheric temperature and moisture vertical profiles from satellite Advanced Infrared Sounder radiances with a new regularization parameter selecting method

• DOI: 10.1007/s13351-016-6025-y
• Publication Date: 2016-07-08T01:37:19Z
• Authors: Kun Zhang; Chunqiang Wu; Jun Li
• Keywords: Atmospheric Infrared Sounder; Regularization

Considering the characteristics of nonlinear problems, a new method based on L-curve and including concept entropy was designed to select regularization parameter in one-dimensional variational analysis-based sounding retrieval method. In first iteration, this uses an empirical derived by minimizing variables. During subsequent iterations, it vicinity selected last iteration. The employed retrieving atmospheric temperature moisture profiles from Atmospheric Infrared Sounder radiance measurements day each month 2008. results show that compared with original method, yields 5.5% 2.5% improvements relative humidity profiles, respectively. Compared discrepancy principle are 1.6% 2.0%,