Analysis Of Atmospheric Characteristics Of Satellite-borne Hyperspectral-resolved Lidar Echo Signals

Clouds and aerosols are considered to be important regulators of both the biospheric hydrological cycle and the radiation budget of the climate system of the earth.There are many ways to measure clouds and aerosols,but only way of clouds/aerosols' twenty-four seven surveillance are space-borne lidar without restrictions of time and space,which have active detective measurement.The CALIPSO(Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation)are only spaceborne lidar on the track and continues to experience low energy shots because of extended service.The first Chinese spaceborne high spectral resolution lidar(HSRL)program,i.e.,the Spaceborne Aerosol and Carbon Detection Lidar(SACDL),is in development and is expected to be launched in 2019 or 2020.Compare with CALIPSO,SACDL has additional molecular channel which can better measured global clouds/aerosols.This paper simulate the spaceborne HSRL return signal and study the feature detection algorithm,scene classification algorithm and extinction retrieval algorithm though analyzing HSRL theory,Rayleigh scattering theory,characteristic of narrow band filter and data of CALIPSO.The main content of this paper studies as follows to show:1.HSRL technique has been systematically analyzed,taking advantaging of narrow-band filter to separate the different broadened spectral lines caused by Rayleigh scattering and Mie scattering.Rayleigh scattering spectral lines have been discussed and calculated at different temperatures and pressure. 2.The similarities and differences between channels of spaceborne HSRL and channels of spaceborne lidar have been analyzed and spaceborne HSRL has been derived.Interference filter and atomic/molecular filter have been discussed.Molecular channel of spaceborne HSRL has been simulated using CALIPSO level 2 clouds/aerosols data.3.Spaceborne HSRL detection algorithms have been studied combine CALIPSO basic algorithms and molecular channel.feature detection algorithm,scene classification algorithm and extinction retrieval algorithm have been primarily studied.The new spaceborne HSRL algorithms have been analyzed and shows great consistency with original CALIPSO data.The final results show that the simulated spaceborne HSRL return signal can effectively be retrieved the optical properties of clouds and aerosols and the retrieval have great consistency with original CALIPSO data.And the correlation coefficients are above 0.85 and the root-mean-square errors(RMSE)are below 0.6.In the future,spaceborne HSRL will play important role of studying the global climate effects of clouds and aerosols.