Abstract
Lidar&Radiometer Sounding (LRS) technique is used to obtain the “snapshot” of aerosol concentration profiles over the East European region during dust event, 07-08.04.2016 from EARLINET, AERONET and CALIPSO data. Aerosol concentration profiles retrieved from space and ground-based lidars are compared.
Highlights
In the recent years, combined lidar and radiometer sounding (LRS) technique becomes one of the basic tools in comprehensive investigations of the atmosphere aimed at retrieving altitude distributions of aerosol optical parameters and aerosol mode concentrations of an inhomogeneous aerosol layer [1,2]
The number of lidar systems with required technical characteristics for providing LRS measurements and collocated with AERONET sun-radiometer systems is an order of magnitude smaller
Using data, measured by satellite multiwavelength lidars, like the CALIOP, working in the vicinity of AERONET station, for retrieving aerosol parameters becomes a real possibility to widen the LRS-area of applications
Summary
In the recent years, combined lidar and radiometer sounding (LRS) technique becomes one of the basic tools in comprehensive investigations of the atmosphere aimed at retrieving altitude distributions of aerosol optical parameters and aerosol mode concentrations of an inhomogeneous aerosol layer [1,2]. The insufficient number of coincident lidar and sun-radiometer stations restrict employment of LRS technique for monitoring atmospheric aerosol. The number of lidar systems with required technical characteristics for providing LRS measurements and collocated with AERONET sun-radiometer systems is an order of magnitude smaller. Using data, measured by satellite multiwavelength lidars, like the CALIOP, working in the vicinity of AERONET station, for retrieving aerosol parameters becomes a real possibility to widen the LRS-area of applications. This paper presents the results of development of the algorithm and software package for retrieval of aerosol mode concentration profiles from CALIPSO and AERONET data
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