A study of internal and external mixing scenarios and its effect on aerosol optical properties and direct radiative forcing
By Glen Lesins, Petr Chylek, Ulrike Lohmann. 2002
356 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/1f3b8d01faf0ce1790b33802fcf453e712fe7073
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In Atmospheric Science
- R. Bergström
- Brent N. Holben
- Ulrike Lohmann
- Albert Ansmann
- T. Bond
- P. Stier
- Gregory L. Schuster
- R. Easter
In Global and Planetary Change
- Brent N. Holben
- Ulrike Lohmann
- Albert Ansmann
- T. Bond
- P. Stier
- R. Bergström
- Gregory L. Schuster
- R. Easter
Citations in the corpus
- Coatings and their enhancement of black carbon light absorption in the tropical atmosphere (2008, background): “The effects of coatings on the optical properties of BC have been addressed primarily in theoretical treatments [Jacobson, 2006; Lesins et al., 2002; Bond et al., 2006] and in the laboratory [Schnaiter et al., 2005; Mikhailov et al., 2006].”
- Relative humidity dependence of aerosol optical properties and direct radiative forcing in the surface boundary layer at Xinken in Pearl River Delta of China : An observation based numerical study (2008, background): “Nessler et al. (2005b) modeled the xapð99%Þ ranging from 0.”
- Global indirect aerosol effects: a review (2004, unknown): “…carbon (blue bars) from Menon et al. (2002a); Quaas et al. (2004), of anthropogenic sulfate and black, and organic carbon (turquoise bars) from Lohmann and Lesins (2002); Takemura et al. (2005), from a combination of ECHAM4 GCM and POLDER satellite results (black bars) by Lohmann and Lesins…”
- Aerosol Mixing State: Measurements, Modeling, and Impacts (2019, methodology): “If the population is internally mixed, different “mixing rules” can be applied to compute the refractive index of the mixed particles (Chýlek et al., 2000; Lesins et al., 2002).”
- Hygroscopic and optical properties of organic sea salt aerosol and consequences for climate forcing (2004, background): “Since the refractive indices of individual organic species are largely unknown, it can be seen from this study that it is important to know whether organic components absorb, how much they absorb, and their mixing state with other constituents for the determination of composite aerosol optical param”
- Inferring black carbon content and specific absorption from Aerosol Robotic Network (AERONET) aerosol retrievals (2005, background): “[31] The Maxwell Garnett effective medium approximation allows the computation of the average dielectric function based upon the average electric fields and polarizations of a host matrix with embedded inclusions, and is the appropriate effective medium approximation for mixtures of insoluble partic”
- The aerosol-climate model ECHAM5-HAM (2004, background): “Water vapour, cloud liquid water, cloud ice and trace components are transported with a flux form semiLagrangian transport scheme ( Lin and Rood, 1996) on a Gaussian grid. ECHAM5 contains a new microphysical cloud scheme ( Lohmann and Roeckner , 1996) with prognostic equations for cloud liquid water”
- Light Absorption by Carbonaceous Particles: An Investigative Review (2006, methodology): “The Bruggeman approximation may be best for void-containing soot pellets ( Felske et al. 1984 ), while the Maxwell Garnett approximation might be used for small black particles suspended in water ( Lesins et al.”
- Limitations in the enhancement of visible light absorption due to mixing state (2006, background): “Felske et al. [1984] argue that the Bruggeman approximation is most applicable for void-containing soot pellets, and Lesins et al. [2002] suggest that the Maxwell Garnett approximation is appropriate for small black particles suspended in water.”
- Simulating the evolution of soot mixing state with a particle-resolved aerosol model (2008, methodology): “Somewhat similarly, Laurenzi et al. [2002] and Alfonso et al. [2008] (on the basis of ideas from Spouge [1985]) stored the number of particles with identical composition to reduce memory usage and computational expense while using Gillespie’s method.”