Abstract
The ADM-Aeolus mission, to be launched by end of 2017, will enable the retrieval of aerosol optical properties (extinction and backscatter coefficients essentially) for different atmospheric conditions. A newly developed feature finder (FF) algorithm enabling the detection of aerosol and cloud targets in the atmospheric scene has been implemented. Retrievals of aerosol properties at a better horizontal resolution based on the feature finder groups have shown an improvement mainly on the backscatter coefficient compared to the common 90 km product.
Highlights
The space-based Doppler mission AEOLUS of the European Space Agency expected to be launched towards end 2017 will be the first High-Spectral Resolution Lidar (HSRL) in space
An End-to-End simulator (E2S) developed by ESA to simulate the lidar signals (Rayleigh and Mie channels) received by ADM-Aeolus has been used to simulate simple to more complex atmospheric scenes: standard boundary layer aerosols, additional thin and opaque clouds, real scenes observed during the LITE (Lidar Inspace Technology Experiment) experiment
By comparing the aerosol/cloud mask computed by the feature finder to the "true" E2S mask, the expected accuracy of the detection has been evaluated
Summary
The space-based Doppler mission AEOLUS of the European Space Agency expected to be launched towards end 2017 will be the first High-Spectral Resolution Lidar (HSRL) in space. The sensor behind the first one is dedicated to sensing particulate backscatter, its signal is called "Mie signal" and the sum of signals from the other two sensors is called "Rayleigh signal". In order to improve the horizontal resolution of the retrieval and provide an aerosol product at a finer scale than 90 km, a feature finder algorithm has been developed.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
