| Sensitivity analysis of the satellite infrared hyper-spectral atmospheric sounder GIIRS on FY-4A |
| 投稿时间：2020-04-14 修订日期：2020-12-02 download |
| Citation： |
| 摘要点击次数: 761 |
| 全文下载次数: 179 |
|
|
| Abstract:Sensitivity is an important radiation performance index of remote sensor. In this paper, the sensitivity concept of infrared hyper-spectral sounding is extended from the sounder noise sensitivity to the atmospheric parameter sensitivity and the surface temperature error sensitivity for the on-orbit application of sounder. The corresponding sensitivity calculation models and their relations are introduced. These models are applied to the sensitivity evaluation of the first infrared hyper-spectral atmospheric sounder on geostationary meteorological satellite FY-4A GIIRS. With the sounder test data and the atmospheric historical statistical data, we obtained the quantitative variation characteristics of the atmospheric parameters’ sensitivities (atmospheric temperature, water vapor, ozone, CO2, CH4 and N2O), the surface temperature error sensitivity and the sounder noise sensitivity with the channel. The physical mechanisms of these characteristics are analyzed. The results show that, as a whole, the sensitivities of atmospheric temperature, water vapor and ozone are much higher than that of the sounder noise and surface temperature error, while the sensitivities of CO2, CH4 and N2O are submerged by the sounder noise sensitivity and surface temperature error sensitivity. The study lays a foundation for the signal-to-noise ratio evaluation of infrared hyper-spectral atmospheric parameters detection, and is helpful for the optimization of infrared hyper-spectral atmospheric sounding channels. |
| keywords:Infrared hyper-spectral, atmospheric sounding, sounder noise sensitivity, atmospheric parameter sensitivity, surface temperature error sensitivity |
| HTML 查看/发表评论 下载PDF阅读器 |
|
|
|
|
|
