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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 are used as input data set for retrieving the altitude profiles of aerosol parameters. The signal-to-noise ratio of input satellite lidar signals increases when averaged over a general ensemble of experimental data. An algorithm and software package have been developed for collecting and statistical processing of combined lidar and radiometric sounding data sets and calculating average aerosol optical parameters. Based on the 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, altitude profiles of average concentrations of aerosol fractions in the region of Belarus have been calculated. A statistical approach to the synergy of satellite lidar and ground-based radiometric sensing data is effective for studying the long-term and large-scale aerosol changes in regions with the low and medium content of aerosol matter in the atmosphere.

About the Authors

A. P. Chaikovsky
B. I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus

Minsk



A. I. Bril
B. I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus

Minsk



V. A. Peshcherenkov
B. I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus

Minsk



N.  A. Miatselskaya
B. I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus

Minsk



A. V. Malinka
B. I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus

Minsk



F. P. Asipenka
B. I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus

Minsk



M. M. Korol
B. I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus
Belarus

Minsk



P. Goloub
Universite de Lille
France

Lille



T. Podvin
Universite de Lille
France

Lille



L. Blarel
Universite de Lille
France

Lille



G. Dubois
Universite de Lille
France

Lille



A. Lapionak
Universite de Lille
France

Lille



Z. Li
Aerospace Information Research Institute, Chinese Academy of Sciences
China

Beijing



Y. Zhang
Aerospace Information Research Institute, Chinese Academy of Sciences
China

Beijing



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Review

For citations:


Chaikovsky A.P., Bril A.I., Peshcherenkov V.A., Miatselskaya N.A., Malinka A.V., Asipenka F.P., Korol M.M., Goloub P., Podvin T., Blarel L., Dubois G., Lapionak A., Li Z., Zhang Y. Statistical Approach to the Synergy of Data from CALIOP and Ground-Based Radiometric Stations for Studying Altitude Profiles of Aerosol Parameters. Zhurnal Prikladnoii Spektroskopii. 2024;91(2):291-301. (In Russ.)

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