Nitrous Oxide is a very important greenhouse gases and ozone-depleting substances. Due to the limited observations, there are still many uncertainties to quantitativelydescribe therole of nitrous oxide played in both cases. We can retrieve the methane and carbon dioxide gas using thermal infrared satellite data AIRS, but it is rarely for the nitrous oxide retrieval. Therefore, this paper retrieves nitrous oxideprofiles from the AIRS data with anOptimal Estimate Method for the first time in China. The issue of the a priori and channelselection is discussed. Comparison of the retrieved AIRS profiles with HIPPOprofiles show the retrieved profiles are in good agreement with the smoothed HIPPO profiles, and a notable improvementin this algorithmthan the eigenvector regression algorithm. For pressures between 300 and 900 hPa, we got the most accurate profiles and the relative erroris only 0.1%, which is consistent with the jacobian peaks of the selected channels.