Preliminary Research On Optimization Of Atmospheric Radiation Transfer Model LBLRTM And Near Space Atmospheric Temperature Inversion

In this paper,LBLRTM radiation model is taken as the main research object.The accuracy of LBLRTM simulation of near space atmospheric infrared radiation is improved by establishing CO₂ concentration model,and atmospheric parameters are retrieved by LBLRTM atmospheric radiation model.The main contents and conclusions are as follows:?1?The usage of LBLRTM model is introduced.?2?The influence of these factors on the accuracy of LBLRTM model is analyzed from four aspects:high resolution transmittance spectrum,atmospheric environmental parameters,atmospheric gas absorption algorithm and non local thermal balance.?3?The TIME/SABER CO₂ concentration data of 17 years were analyzed by monthly average method,and the CO₂ concentration fitting formula was established.?4?The data set of fitting parameters was obtained by fitting formula,and the CO₂concentration model was established by using data analysis and visualization application program and Programming Language IDL.Through IDL,CO₂concentration model and atmospheric parameter model NRLMSISE-00 were embedded into lblrtm model to optimize LBLRTM model.The simulation results are compared with the measured radiation data of TIME/SABER.The results show that the optimized lblrtm model can effectively improve the accuracy.?5?A preliminary study on atmospheric temperature inversion in near space is carried out to verify the feasibility of the inversion algorithm in this paper.