星基大气探测资料信息容量研究

通过引入信息容量的概念，并借助Bayesian估计理论，给出了星载探测资料中所包含的如温度，湿度，O₃，SO₂，CH₄等大气参数的信息容量的计算方案，该方法充分考虑了仪器各通道对反演参数的敏感性、各通道的观测误差特性以及背景场的误差特性；然后利用该方法对HIRS，AMSU，AIRS，IAIS四种仪器以及三种组合所包含的大气温度、湿度的信息容量进行了计算，得到十分有价值的结果，该方法预期在星载大气探测仪器的设计、各仪器的评估与比较、探测资料的关键词：大气探测资料信息容量权函数矩阵

Study of the information content contained in remote sensing data of atmosphere

By introducing the concept of information content and using Bayesian estimation theory, a scheme for calculating information contents in temperature, humidity, O₃, SO₂, CH₄ and other atmospheric parameters in the remote sensing data is given. The scheme takes into account the channel sensitivity to the atmospheric parameters, the observation error of each channel as well as the error characteristics of the background atmosphere. The temperature and humidity information contents in the observation of HIRS, AMSU, AIRS, IAIS and three combinations of the instruments are calculated using the scheme. The results show that the scheme may have valuable applications in instrument designing, evaluating and comparing different instruments and usage of remote sensing data etc.