N2O是一种非常重要的温室气体和臭氧损耗物。 由于观测资料有限, 对于N2O在这两方面所发挥的作用定量描述还存在很多的不确定性。 利用热红外卫星数据AIRS可以反演监测甲烷和二氧化碳气体, 但对氧化亚氮的反演还很少见到。 因此该工作首次在国内针对高光谱红外卫星资料AIRS, 开展利用最优估计法反演大气N2O廓线的模拟研究。 讨论了先验廓线的获取方法及反演通道的选取方法, 并将反演结果和HIPPO飞机观测数据进行比较, 发现AIRS观测数据可以很好的捕获N2O的垂直分布, 在300～900 hPa, 与HIPPO数据趋势一致, 且反演精度较高, 相对误差仅为0.1%, 与所选取反演通道的jacobian峰值区间一致。 反演结果相比于特征向量统计法也有显著提高。

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.