O
Olga V. Kalashnikova
Researcher at California Institute of Technology
Publications - 132
Citations - 4012
Olga V. Kalashnikova is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Aerosol & Mineral dust. The author has an hindex of 31, co-authored 118 publications receiving 2797 citations. Previous affiliations of Olga V. Kalashnikova include Jet Propulsion Laboratory & University of Colorado Boulder.
Papers
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Journal ArticleDOI
Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998-2018).
Melanie S. Hammer,Melanie S. Hammer,Aaron van Donkelaar,Aaron van Donkelaar,Chi Li,Chi Li,Alexei Lyapustin,Alexei Lyapustin,Andrew M. Sayer,Andrew M. Sayer,N. Christina Hsu,Robert C. Levy,Michael J. Garay,Olga V. Kalashnikova,Ralph A. Kahn,Michael Brauer,Michael Brauer,Joshua S. Apte,Daven K. Henze,Li Zhang,Li Zhang,Qiang Zhang,Bonne Ford,Jeffrey R. Pierce,Randall V. Martin,Randall V. Martin,Randall V. Martin +26 more
TL;DR: Global estimates of annual PM2.5 concentrations and trends for 1998-2018 are developed using advances in satellite observations, chemical transport modeling, and ground-based monitoring, identifying significant trends for eastern North America, Europe, and globally.
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Climatology of summer Shamal wind in the Middle East
TL;DR: In this paper, the authors explored the poorly understood spatial and temporal variability of summer Shamal on the diurnal, seasonal, and interannual time scales, along with its influence on dust storm activity and sensitivity to global patterns of sea surface temperature using a comprehensive set of observational data.
Journal Article
Ability of multiangle remote sensing observations to identify and distinguish mineral dust types : Optical models and retrievals of optically thick plumes : Quantifying the radiative and biogeochemical impacts of mineral dust
TL;DR: In this paper, the authors present a systematic theoretical study of atmospheric mineral dust radiative properties, focusing on implications for multiangle and multispectral remote sensing, and investigate the impact of particle irregularity, composition, and size distribution on particle optical properties.
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Importance of shapes and compositions of wind-blown dust particles for remote sensing at solar wavelengths
TL;DR: In this paper, the authors investigate how the realistic morphology and composition of dust particles affect the optical properties of dust mixtures by utilizing microscopy data that recently become available of dust samples collected in the atmosphere and demonstrate that the presence of sharp-edge, angular-type particles results in various differences in the scattering phase function, asymmetry parameter, optical depth and single scattering albedo compared to those of the volume-equivalent spheres or ellipses.
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Modeling the radiative properties of nonspherical soil-derived mineral aerosols
TL;DR: In this article, a method for modeling the optical properties of complex particle mixtures is proposed, which combines dust particle composition-shape-size (CSS) distributions reconstructed from the electron microscopy data, effective medium approximations and discrete dipole approximation.