Statistical Approach to the Synergy of Data from Caliop and Ground-Based Radiometric Stations for Studying Altitude Profiles of Aerosol Parameters

Abstract

Statistical characteristics of data from coordinated lidar and radiometric sounding of the atmosphere carried out by ground-based solar radiometers and satellite lidar CALIOP were used as an input dataset for retrieving the altitude profiles of aerosol parameters. The signal-to-noise ratio of input satellite lidar signals increased when averaged over a general ensemble of experimental data. An algorithm and software package were developed for collecting and statistical processing of combined lidar and radiometric sounding datasets and calculating average aerosol optical parameters of an atmosphere model. Altitude profiles of average concentrations of aerosol fractions in the region of Belarus were calculated based on results of radiometric measurements at the Minsk site of the AERONET/PHOTONS network and lidar sounding data from CALIOP collected during the observation period from 2015 to 2019. A statistical approach to the synergy of satellite lidar and ground-based radiometric sensing data was effective for studying the long-term and large-scale aerosol changes in regions with low and medium contents of aerosol matter in the atmosphere.