FY-4A静止气象卫星红外高光谱大气探测仪GIIRS探测灵敏度分析
投稿时间:2020-04-14  修订日期:2021-05-21  点此下载全文
引用本文:农川,尹球,宋慈,束炯.FY-4A静止气象卫星红外高光谱大气探测仪GIIRS探测灵敏度分析[J].红外与毫米波学报,2021,40(3):353~362].NONG Chuan,YIN Qiu,SONG Ci,SHU Jiong.Sensitivity analysis of the satellite infrared hyper-spectral atmospheric sounder GIIRS on FY-4A[J].J.Infrared Millim.Waves,2021,40(3):353~362.]
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作者单位E-mail
农川 华东师范大学地理信息科学教育部重点实验室上海 200241
华东师范大学地理科学学院上海 200241 
n_chuan123@163.com 
尹球 上海市气象局上海 200030 yinqiu@cma.gov.cn 
宋慈 中原工学院理学院河南 郑州 450007
上海大学通信与信息工程学院上海 200444 
 
束炯 华东师范大学地理信息科学教育部重点实验室上海 200241
华东师范大学地理科学学院上海 200241 
 
中文摘要:灵敏度是重要的遥感器辐射性能指标。本文将红外高光谱大气探测仪仪器噪声灵敏度概念拓展,定义了面向探测仪在轨应用的大气参数灵敏度和地表温度误差灵敏度,给出了相应的计算模型和相互关系。并将之应用于第一台静止气象卫星红外高光谱大气探测仪FY-4A GIIRS在轨应用探测灵敏度评估。根据探测仪测试数据和大气历史统计资料,得到了大气参数(温度、水汽、臭氧、CO2、CH4和N2O)、地表温度误差以及探测仪噪声灵敏度随通道的定量变化特征,分析了各变化特征的物理机制。结果表明大气温度、水汽和臭氧灵敏度远大于探测仪噪声和地表温度误差灵敏度,而CO2、CH4和N2O灵敏度被探测仪和地表温度误差灵敏度淹没。本文研究为红外高光谱大气参数探测信噪比评估奠定了基础,有助于红外高光谱大气探测通道的优选。
中文关键词:红外高光谱  大气探测  探测仪灵敏度  大气参数灵敏度  地表温度误差灵敏度
 
Sensitivity analysis of the satellite infrared hyper-spectral atmospheric sounder GIIRS on FY-4A
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 parameter 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 the 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
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