📝 Original Info
- Title: Simulating the evolution of soot mixing state with a particle-resolved aerosol model
- ArXiv ID: 0809.0875
- Date: 2009-05-05
- Authors: Researchers from original ArXiv paper
📝 Abstract
The mixing state of soot particles in the atmosphere is of crucial importance for assessing their climatic impact, since it governs their chemical reactivity, cloud condensation nuclei activity and radiative properties. To improve the mixing state representation in models, we present a new approach, the stochastic particle-resolved model PartMC-MOSAIC, which explicitly resolves the composition of individual particles in a given population of different types of aerosol particles. This approach accurately tracks the evolution of the mixing state of particles due to emission, dilution, condensation and coagulation. To make this direct stochastic particle-based method practical, we implemented a new multiscale stochastic coagulation method. With this method we achieved optimal efficiency for applications when the coagulation kernel is highly non-uniform, as is the case for many realistic applications. PartMC-MOSAIC was applied to an idealized urban plume case representative of a large urban area to simulate the evolution of carbonaceous aerosols of different types due to coagulation and condensation. For this urban plume scenario we quantified the individual processes that contribute to the aging of the aerosol distribution, illustrating the capabilities of our modeling approach. The results showed for the first time the multidimensional structure of particle composition, which is usually lost in internally-mixed sectional or modal aerosol models.
💡 Deep Analysis
Deep Dive into Simulating the evolution of soot mixing state with a particle-resolved aerosol model.
The mixing state of soot particles in the atmosphere is of crucial importance for assessing their climatic impact, since it governs their chemical reactivity, cloud condensation nuclei activity and radiative properties. To improve the mixing state representation in models, we present a new approach, the stochastic particle-resolved model PartMC-MOSAIC, which explicitly resolves the composition of individual particles in a given population of different types of aerosol particles. This approach accurately tracks the evolution of the mixing state of particles due to emission, dilution, condensation and coagulation. To make this direct stochastic particle-based method practical, we implemented a new multiscale stochastic coagulation method. With this method we achieved optimal efficiency for applications when the coagulation kernel is highly non-uniform, as is the case for many realistic applications. PartMC-MOSAIC was applied to an idealized urban plume case representative of a large urba
📄 Full Content
RIEMER ET AL.: PARTICLE-RESOLVED MIXING STATE MODELING
1
Simulating the evolution of soot mixing state with a
particle-resolved aerosol model
N. Riemer,1 M. West,2 R. A. Zaveri,3 and R. C. Easter3
Abstract.
The mixing state of soot particles in the atmosphere is of crucial importance
for assessing their climatic impact, since it governs their chemical reactivity, cloud con-
densation nuclei activity and radiative properties. To improve the mixing state repre-
sentation in models, we present a new approach, the stochastic particle-resolved model
PartMC-MOSAIC, which explicitly resolves the composition of individual particles in a
given population of different types of aerosol particles. This approach accurately tracks
the evolution of the mixing state of particles due to emission, dilution, condensation and
coagulation. To make this direct stochastic particle-based method practical, we imple-
mented a new multiscale stochastic coagulation method. With this method we achieved
optimal efficiency for applications when the coagulation kernel is highly non-uniform, as
is the case for many realistic applications. PartMC-MOSAIC was applied to an ideal-
ized urban plume case representative of a large urban area to simulate the evolution of
carbonaceous aerosols of different types due to coagulation and condensation. For this
urban plume scenario we quantified the individual processes that contribute to the ag-
ing of the aerosol distribution, illustrating the capabilities of our modeling approach. The
results showed for the first time the multidimensional structure of particle composition,
which is usually lost in internally-mixed sectional or modal aerosol models.
1. Introduction
Soot particles are an important constituent of the atmo-
spheric aerosol, since they participate in tropospheric chem-
istry [Saathoffet al., 2001] and affect human pulmonary
health [Pope and Dockery, 1996]. Because of its ability to
absorb light [Horvath and Trier, 1993], soot is also recog-
nized as an important player in the aerosol radiative forcing
of climate at global, regional, and local scales [Menon et al.,
2002; Chung and Seinfeld, 2005; Roeckner et al., 2006]. The
source of soot particles is the incomplete combustion of car-
bon containing material, which means that except for natu-
ral biomass burning all sources of soot are of anthropogenic
origin [Penner, 1995]. The dominant removal process is wet
deposition [Ducret and Cachier, 1992]. Soot particles can
be transported over long distances reaching remote regions
such as the Arctic [Clarke and Noone, 1985; Hansen and
Nazarenko, 2004].
The initial composition of soot particles consists of black
carbon and organic carbon. The precise mixture depends
heavily on the source [Medalia and Rivin, 1982; Andreae
and Gelenc´ser, 2006]. While freshly emitted soot particles
are rather hydrophobic and present in an external mixture,
their hygroscopic qualities can change due to coagulation
with soluble aerosols, condensation of secondary organic and
inorganic species, and photochemical processes [Weingart-
ner et al., 1997].
These processes are usually referred to
as “aging,” and they determine the particle growth in re-
sponse to ambient relative humidity and the ability to be
activated as cloud condensation nuclei. The aging processes
also have a profound effect on the aerosol optical properties.
1Department of Atmospheric Science, University of
Illinois at Urbana-Champaign, Urbana, Illinois, USA
2Department of Mechanical Science and Engineering,
University of Illinois at Urbana-Champaign, Urbana, Illinois,
USA
3Atmospheric Science and Global Change Division, Pacific
Northwest National Laboratory, Richland, Washington, USA
For example, internally mixed soot shows greater absorptiv-
ity compared to externally mixed soot. This effect on radia-
tive properties has been studied by a number of investiga-
tors, e.g. Ch´ylek et al. [1995]; Jacobson [2001]; Riemer et al.
[2003]; Schnaiter et al. [2005]; Bond et al. [2006]. Measure-
ments show that atmospheric soot particles are internally
mixed with other aerosol species in varying proportions, and
that the hydrophobic portion of the aerosols decreases signif-
icantly as the distance from the sources increases [Andreae
et al., 1986; Levin et al., 1996; Okada and Hitzenberger,
2001; Johnson et al., 2005; Cubison et al., 2008].
Since it is well recognized that soot particles contribute
to both the direct and indirect/semi-direct climate effect
[Lesins et al., 2002; Jacobson, 2000, 2002b; Nenes et al.,
2002], an adequate representation of soot and its mixing
state is sought for use in both global and regional mod-
els, and the parameterization of soot aging is key to de-
termining its atmospheric abundance. Many global models
have simulated both (fresh) hydrophobic soot and (aged)
hydrophilic soot, which can be considered as a minimal rep-
resentation of the soot mixing state. Several of the models
have assumed that the conversion from hydrophobic to hy-
drophi
…(Full text truncated)…
Reference
This content is AI-processed based on ArXiv data.