Channel Selection of High-Spectral Resolution Interferometer Sounder for Use in Temperature Retrieval

High-resolution remote sounding instruments have thousands of channels usually, the similarity between channels will cause redundancy, and may lead to the non-convergence of retrieval algorithm. In this paper, the channel selection of temperature retrieval is discussed based on air-borne High-spectral resolution Interferometer Sounder. The results show that, for the total 1724 channels of HIS 600-1075 cm(-1) band, the selected 45 channels contain 70% of the total information content, 97 channels contain 80% of the total information content, greatly reducing the number of channels involved in retrieval algorithm, then using selected channels simulated for the measurements of HIS is discussed, the average absolute deviation between the retrieved temperature profile and the truth is 0.74K/ Km. The result demonstrates that stepwise iterative method is possible to select channels for the airborne high-spectral infrared data.