scholarly journals Subarctic atmospheric aerosol composition: 1. Ambient aerosol characterization

2009 ◽  
Vol 114 (D13) ◽  
Author(s):  
Beth Friedman ◽  
Hanna Herich ◽  
Lukas Kammermann ◽  
Deborah S. Gross ◽  
Almut Arneth ◽  
...  
Keyword(s):  
Atmospheric Aerosol ◽  
Aerosol Composition ◽  
Ambient Aerosol ◽  
Aerosol Characterization

Accurate spectrally modulating polarimeters for atmospheric aerosol characterization

2015 ◽  
Author(s):  
Jeroen H. H. Rietjens ◽  
Martijn Smit ◽  
Gerard van Harten ◽  
Antonio Di Noia ◽  
Otto P. Hasekamp ◽  
...  
Keyword(s):  
Atmospheric Aerosol ◽  
Aerosol Characterization

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.

A detailed investigation of ambient aerosol composition and size distribution in an urban atmosphere

2012 ◽  
Vol 20 (4) ◽  
pp. 2556-2568 ◽  
Author(s):  
S. Levent Kuzu ◽  
Arslan Saral ◽  
Selami Demir ◽  
Gülsüm Summak ◽  
Göksel Demir
Keyword(s):  
Size Distribution ◽  
Urban Atmosphere ◽  
Aerosol Composition ◽  
Ambient Aerosol

scholarly journals Subarctic atmospheric aerosol composition: 3. Measured and modeled properties of cloud condensation nuclei

2010 ◽  
Vol 115 (D4) ◽  
Author(s):  
Lukas Kammermann ◽  
Martin Gysel ◽  
Ernest Weingartner ◽  
Hanna Herich ◽  
Daniel J. Cziczo ◽  
...  
Keyword(s):  
Atmospheric Aerosol ◽  
Cloud Condensation Nuclei ◽  
Condensation Nuclei ◽  
Aerosol Composition

Study of interconnections between some parameters of the atmospheric aerosol composition and the ozone concentration

2008 ◽  
pp. 172-175
Author(s):  
V. G. Khorguani ◽  
T. G. Gzirishvili ◽  
A. G. Amiranashvili ◽  
D. F. Kharchilava ◽  
L. T. Trofimenko
Keyword(s):  
Ozone Concentration ◽  
Atmospheric Aerosol ◽  
Aerosol Composition

scholarly journals Cloud Activating Properties of Aerosol Observed during CELTIC

2007 ◽  
Vol 64 (2) ◽  
pp. 441-459 ◽  
Author(s):  
Craig A. Stroud ◽  
Athanasios Nenes ◽  
Jose L. Jimenez ◽  
Peter F. DeCarlo ◽  
J. Alex Huffman ◽  
...  
Keyword(s):  
Kinetic Model ◽  
Size Distribution ◽  
Organic Aerosol ◽  
Aerosol Size Distribution ◽  
Model Bias ◽  
Aerosol Composition ◽  
Ambient Aerosol ◽  
Aerosol Mass ◽  
Mass Fractions ◽  
Mass Size

Abstract Measurements of aerosol size distribution, chemical composition, and cloud condensation nuclei (CCN) concentration were performed during the Chemical Emission, Loss, Transformation, and Interactions with Canopies (CELTIC) field program at Duke Forest in North Carolina. A kinetic model of the cloud activation of ambient aerosol in the chamber of the CCN instrument was used to perform an aerosol–CCN closure study. This study advances prior investigations by employing a novel fitting algorithm that was used to integrate scanning mobility particle sizer (SMPS) measurements of aerosol number size distribution and aerosol mass spectrometer (AMS) measurements of the mass size distribution for sulfate, nitrate, ammonium, and organics into a single, coherent description of the ambient aerosol in the size range critical to aerosol activation (around 100-nm diameter). Three lognormal aerosol size modes, each with a unique internally mixed composition, were used as input into the kinetic model. For the two smaller size modes, which control CCN number concentration, organic aerosol mass fractions for the defined cases were between 58% and 77%. This study is also unique in that the water vapor accommodation coefficient was estimated based on comparing the initial timing for CCN activation in the instrument chamber with the activation predicted by the kinetic model. The kinetic model overestimated measured CCN concentrations, especially under polluted conditions. Prior studies have attributed a positive model bias to an incomplete understanding of the aerosol composition, especially the role of organics in the activation process. This study shows that including measured organic mass fractions with an assumed organic aerosol speciation profile (pinic acid, fulvic acid, and levoglucosan) and an assumed organic aerosol solubility of 0.02 kg kg−1 still resulted in a significant model positive bias for polluted case study periods. The slope and y intercept for the CCN predicted versus CCN observed regression was found to be 1.9 and −180 cm−3, respectively. The overprediction generally does not exceed uncertainty limits but is indicative that a bias exists in the measurements or application of model. From this study, uncertainties in the particle number and mass size distributions as the cause for the model bias can be ruled out. The authors are also confident that the model is including the effects of growth kinetics on predicted activated number. However, one cannot rule out uncertainties associated with poorly characterized CCN measurement biases, uncertainties in assumed organic solubility, and uncertainties in aerosol mixing state. Sensitivity simulations suggest that assuming either an insoluble organic fraction or external aerosol mixing were both sufficient to reconcile the model bias.

scholarly journals Atmospheric aerosol characterization with the Dutch–Chinese FAST formation flying mission

2010 ◽  
Vol 66 (7-8) ◽  
pp. 1044-1051 ◽  
Author(s):  
Eberhard Gill ◽  
Daan Maessen ◽  
Erik Laan ◽  
Stefan Kraft ◽  
Gang-tie Zheng
Keyword(s):  
Atmospheric Aerosol ◽  
Formation Flying ◽  
Aerosol Characterization
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