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Igor Veselovskii

Researcher at University of Maryland, Baltimore County

Publications -  89
Citations -  2466

Igor Veselovskii is an academic researcher from University of Maryland, Baltimore County. The author has contributed to research in topics: Lidar & Aerosol. The author has an hindex of 26, co-authored 76 publications receiving 1985 citations. Previous affiliations of Igor Veselovskii include Goddard Space Flight Center.

Papers
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Inversion with regularization for the retrieval of tropospheric aerosol parameters from multiwavelength lidar sounding

TL;DR: An inversion algorithm for the retrieval of particle size distribution parameters, i.e., mean (effective) radius, number, surface area, and volume concentration, and complex refractive index from multiwavelength lidar data is presented.
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Inversion of multiwavelength Raman lidar data for retrieval of bimodal aerosol size distribution

TL;DR: Simulations showed that surface area, volume concentration, and effective radius are derived to an accuracy of approximately 50% for a variety of bimodal particle size distributions, which makes this algorithm applicable to large particles, e.g., investigations concerning the hygroscopic growth of aerosols.
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Depolarization and lidar ratios at 355, 532, and 1064 nm and microphysical properties of aged tropospheric and stratospheric Canadian wildfire smoke

TL;DR: In this paper, optical and microphysical properties of western Canadian wildfire smoke observed in a tropospheric layer from 5.5-6.5 km height and in a stratospheric layers from 15-16 km height during a record-breaking smoke event were presented.
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Application of randomly oriented spheroids for retrieval of dust particle parameters from multiwavelength lidar measurements

TL;DR: In this paper, a model of randomly oriented spheroids for the inversion of multiwavelength lidar data is presented, which is applicable to the modeling of light scattering by spherically symmetric particles only and does not adequately reproduce the scattering by generally nonspherical desert dust particles.
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Extreme levels of Canadian wildfire smoke in the stratosphere over central Europe on 21-22 August 2017

TL;DR: In this article, the European Aerosol Research Lidar Network (EARLINET) lidars in the stratosphere over central Europe on 21 and 22 August 2017 were used to identify smoke layers with a 1-2'km vertical extent 2-5'km above the local tropopause.