Modeling the radiative properties of nonspherical soil-derived mineral aerosols

By Olga V. Kalashnikova, I. Sokolik. 2004

142 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/bed10a4987bd0a3c32a5ae17ae4999f670376262

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

In Global and Planetary Change

Citations in the corpus

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 (2005, methodology): “[4] We consider the following dust physical properties from previous modeling work [Kalashnikova and Sokolik, 2004] and from new PRIDE and ACE-Asia experiments: [5] 1.”
Impact of radiatively interactive dust aerosols in the NASA GEOS‐5 climate model: Sensitivity to dust particle shape and refractive index (2014, background): “We note that the two shape distributions considered here are only two of many possible shape configurations suggested in the literature [e.g., Kalashnikova and Sokolik, 2004; Haapanala et al., 2012].”
Modelling lidar-relevant optical properties of complex mineral dust aerosols (2011, background): “Modelling the interaction of radiation with mineral dust aerosols is a challenging task (Kalashnikova and Sokolik, 2004; Nousiainen, 2009) because of the complexity of the microphysical particle properties (e.”
Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust (2006, methodology): “This issue has been analyzed in many studies [e.g., Mishchenko et al., 1995; Kahn et al., 1997; Krotkov et al., 1999; Kalashnikova and Sokolik, 2002; Mishchenko et al., 2003; Kalashnikova and Sokolik, 2004; Kalashnikova et al., 2005; Zhao et al., 2003; Sinyuk et al., 2003; Hsu et al., 2004; Remer et”
Variability of aerosol and spectral lidar and backscatter and extinction ratios of key aerosol types derived from selected Aerosol Robotic Network locations (2005, methodology): “[Hill et al., 1984; Kalashnikova and Sokolik, 2004; Okada et al., 2001] used to compute their optical properties, but the computational intensity required to account for most irregular shapes is currently too great to be of utility in remote sensing problems.”