Using the data bank of backscattering matrices of IAO SB RAS for interpreting the data of the high-altitude polarization lidar of TSU

In the paper the analyses of the lidar measurements data of optical parameters of the cirrus clouds over the Tomsk city are presented. The valuation of the microphysical properties of the cirrus clouds was done by the backscattering matrices that were measured by the high-altitude polarization lidar (wavelength is 0.532 μm) from National Research Tomsk State University in 2016-2018. For the interpretation of the laser sensing data we used the backscattering matrices database designed in V.E. Zuev Institute of Atmospheric Optics, Russian Academy of Sciences, Siberian Branch. An attempt to interpret the measured matrix using the quasi-horizontal orientated hexagonal columns with the 1000 μm modal size Lmod is incorrect in view of the fact that the particles with this size are very unlikely in existence of nature. It was demonstrated that the calculated backscattering matrices together with proposed algorithm could be used for the valuation of microphysical properties of the measured backscattering matrices.

[1]  Dong Liu,et al.  The study of cirrus clouds with the polarization lidar in the South-East China (Hefei) , 2017 .

[2]  Michael Hess,et al.  Correlations Among the Optical Properties of Cirrus-Cloud Particles: Microphysical Interpretation , 2002 .

[3]  S. M. Prigarin,et al.  Monte Carlo simulation of the effects caused by multiple scattering of ground-based and spaceborne lidar pulses in clouds , 2017 .

[4]  Gang Hong,et al.  Parameterization of scattering and absorption properties of nonspherical ice crystals at microwave frequencies , 2007 .

[5]  David L. Mitchell,et al.  A Model Predicting the Evolution of Ice Particle Size Spectra and Radiative Properties of Cirrus Clouds. Part I: Microphysics. , 1994 .

[6]  Anatoli G. Borovoi,et al.  The technique for solving the problem of light backscattering by ice crystals of cirrus clouds by the physical optics method for a lidar with zenith scanning , 2016 .

[7]  Hajime Okamoto,et al.  Global analysis of cloud phase and ice crystal orientation from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data using attenuated backscattering and depolarization ratio , 2010 .

[8]  Anatoli G. Borovoi,et al.  Influence of cirrus clouds ice crystal’s deformation on the backscattering matrix calculated within the physical optics approximation , 2016, Atmospheric and Ocean Optics.

[9]  Anatoli G. Borovoi,et al.  Main types of optical beams giving predominant contributions to the light backscatter for the irregular hexagonal columns , 2017, Atmospheric and Ocean Optics.

[10]  Junshik Um,et al.  Formation of atmospheric halos and applicability of geometric optics for calculating single-scattering properties of hexagonal ice crystals: Impacts of aspect ratio and ice crystal size , 2015 .

[11]  K. Liou Influence of Cirrus Clouds on Weather and Climate Processes: A Global Perspective , 1986 .

[12]  Paul W. Stackhouse,et al.  The Relevance of the Microphysical and Radiative Properties of Cirrus Clouds to Climate and Climatic Feedback , 1990 .

[13]  Massimo Del Guasta,et al.  Simulation of LIDAR returns from pristine and deformed hexagonal ice prisms in cold cirrus by means of , 2001 .

[14]  Steven Platnick,et al.  High Cloud Properties from Three Years of MODIS Terra and Aqua Collection-4 Data over the Tropics , 2007 .

[15]  Anatoli G. Borovoi,et al.  Problem of light scattering by atmospheric ice crystals , 2017, Atmospheric and Ocean Optics.

[16]  Ignatii V. Samokhvalov Effect of Orientation of Ice Crystals in Cirrus on Direct and Scattered Solar Radiation Fluxes , 2018 .

[17]  Arnaud Delaval,et al.  Classification of particle effective shape ratios in cirrus clouds based on the lidar depolarization ratio. , 2002, Applied optics.

[18]  Yoshihide Takano,et al.  Radiative Transfer in Cirrus Clouds. Part III: Light Scattering by Irregular Ice Crystals , 1995 .

[19]  V. N. Marichev Combined method for optical sensing of the lower and middle atmosphere , 2016 .