scholarly journals Microscopic Observations of Core‐Shell Particle Structure and Implications for Atmospheric Aerosol Remote Sensing

2018 ◽  
Vol 123 (24) ◽  
Author(s):  
Florin Unga ◽  
Marie Choël ◽  
Yevgeny Derimian ◽  
Karine Deboudt ◽  
Oleg Dubovik ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Atmospheric Aerosol ◽  
Core Shell ◽  
Particle Structure ◽  
Shell Particle ◽  
Aerosol Remote Sensing

Stability, Composition, and Core–Shell Particle Structure of Uranium(IV)-Silicate Colloids

2018 ◽  
Vol 52 (16) ◽  
pp. 9118-9127 ◽  
Author(s):  
Thomas S. Neill ◽  
Katherine Morris ◽  
Carolyn I. Pearce ◽  
Nicholas K. Sherriff ◽  
M. Grace Burke ◽  
...  
Keyword(s):  
Core Shell ◽  
Particle Structure ◽  
Shell Particle

Atmospheric aerosol remote sensing by means of multi-filter rotating shadow-band radiometer

1999 ◽  
Vol 30 ◽  
pp. S615-S616 ◽  
Author(s):  
Mikhail D. Alexandrov ◽  
Andrew A. Lacis ◽  
Barbara E. Carlson ◽  
Brian Cairns
Keyword(s):  
Remote Sensing ◽  
Atmospheric Aerosol ◽  
Aerosol Remote Sensing ◽  
Band Radiometer

Remote sensing of atmospheric aerosol over China

2001 ◽  
Author(s):  
Jietai Mao ◽  
Junhua Zhang ◽  
Chengcai Li ◽  
Meihua Wang
Keyword(s):  
Remote Sensing ◽  
Atmospheric Aerosol

Aerosol remote sensing over oceans

1995 ◽  
Vol 16 (10) ◽  
pp. 99-102
Author(s):  
Th. Heinemann ◽  
J. Fischer
Keyword(s):  
Remote Sensing ◽  
Aerosol Remote Sensing

scholarly journals Maxwell-Stefan diffusion: a framework for predicting condensed phase diffusion and phase separation in atmospheric aerosol

2017 ◽  
Author(s):  
Kathryn Fowler ◽  
Paul J. Connolly ◽  
David O. Topping ◽  
Simon O'Meara
Keyword(s):  
Time Scales ◽  
Atmospheric Aerosol ◽  
Binary Systems ◽  
Aerosol Particles ◽  
High Water ◽  
Core Shell ◽  
Equilibration Time ◽  
Viscous Effects ◽  
Aerosol Composition ◽  
Exponential Factor

Abstract. The composition of atmospheric aerosol particles has been found to influence their micro-physical properties and their interaction with water vapour in the atmosphere. Core-shell models have been used to investigate the relationship between composition, viscosity and equilibration time-scales. These models have traditionally relied on the Fickian laws of diffusion with no explicit account of non-ideal interactions. We introduce the Maxwell-Stefan diffusion framework as an alternative method, which explicitly accounts for non-ideal interactions through activity coefficients. E-folding time is the time it takes for the difference in surface and bulk concentration to change by an exponential factor and was used to investigate the interplay between viscosity and solubility and the effect this has on equilibration time-scales within individual aerosol particles. The e-folding time was estimated after instantaneous increases in relative humidity to binary systems of water and an organic component. At low water mole fractions, viscous effects were found to dominate mixing. However, at high water mole fractions, equilibration times were more sensitive to a range in solubility, shown through the greater variation in e-folding times. This is the first time the Maxwell-Stefan framework has been applied to an atmospheric aerosol core-shell model and shows that there is a complex interplay between the viscous and solubility effects on aerosol composition that requires further investigation.

Uncertainty and interpretation of aerosol remote sensing due to vertical inhomogeneity

2013 ◽  
Vol 114 ◽  
pp. 91-100 ◽  
Author(s):  
Peng-Wang Zhai ◽  
Yongxiang Hu ◽  
Chris A. Hostetler ◽  
Brian Cairns ◽  
Richard A. Ferrare ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Aerosol Remote Sensing ◽  
Vertical Inhomogeneity
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