Importance of shapes and compositions of wind‐blown dust particles for remote sensing at solar wavelengths
By Olga V. Kalashnikova, I. Sokolik. 2002
159 citations recorded by the source corpus.
Subfields: Atmospheric Science, Earth-Surface Processes, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/651906938f15dacbc6122af483cc2f4292d9e3cb
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
- Oleg Dubovik
- Brent N. Holben
- Mark A. Vaughan
- D. Winker
- Ali H. Omar
- Ping Yang
- Kathleen Powell
- Rajan K. Chakrabarty
In Earth-Surface Processes
- Oleg Dubovik
- William Patrick Arnott
- Rajan K. Chakrabarty
- Hans Moosmüller
- Ping Yang
- Brent N. Holben
- Olga V. Kalashnikova
- I. Sokolik
In Global and Planetary Change
- Mark A. Vaughan
- Oleg Dubovik
- Brent N. Holben
- D. Winker
- Ali H. Omar
- Kathleen Powell
- Ping Yang
- Zhaoyan Liu
Citations in the corpus
- Size distributions and mixtures of dust and black carbon aerosol in Asian outflow: Physiochemistry and optical properties (2004, background): “In the aerosol phase the particles have irregular shapes difficult to model [Kalashnikova and Sokolik, 2002; Mishchenko et al., 1997] and may have weathered surfaces that differ chemically from the parent material or may be coated with other nonabsorbing or absorbing components.”
- Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust (2006, background): “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…”
- Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms (2009, methodology): “…180 8 backscatter to particle shape, the 532-nm S a value for the dust type was selected based on measured values and the aerosol model was selected from discrete dipole approximation (DDA) calculations using realistic assumptions on particle shape and composition (Kalashnikova and Sokolik 2002).”
- Aerosol Mixing State: Measurements, Modeling, and Impacts (2019, background): “…soot particles are emitted as fractal-like aggregates (Moffet & Prather, 2009; Wentzel et al., 2003), mineral dust particles are irregularly shaped (Kalashnikova & Sokolik, 2002; Moffet et al., 2008), and chemically mixed particles can have various arrangements of their constituent species (China…”
- Chemical composition and complex refractive index of Saharan Mineral Dust at Izaña, Tenerife (Spain) derived by electron microscopy (2007, unknown): “81 (Kalashnikova and Sokolik, 2002).”
- Aerosol light absorption and its measurement: A review (2009, background): “Relevant applications of the DDA include studies of the influence of coatings and mixing on aerosol light absorption [174–176] and aerosol light absorption by dust particles [177,178].”
- Comparison of size and morphological measurements of coarse mode dust particles from Africa (2003, background): “particle nonsphericity [e.g., Mishchenko and Travis, 1994; Mishchenko et al., 1997; Pilinis and Li, 1998; Kalashnikova and Sokolik, 2002], particle size and refractive index varia-”
- 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, background): “Most of the shapes are angular and sharp-edged, as was suggested by our previous work [Kalashnikova and Sokolik, 2002].”