A single-column particle-resolved model for simulating  the vertical distribution of aerosol mixing state: WRF-PartMC-MOSAIC-SCM v1.0

Curtis, Jeffrey H.; Riemer, Nicole; West, Matthew

doi:10.5194/gmd-10-4057-2017

Cited by 15 publications

(16 citation statements)

References 60 publications

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“…In this regard, recent advancements in modeling aerosol mixing state could improve the understanding of the vertical variation of BC mixing state and the associated wet deposition process [48]. Meanwhile, measurements of vertical profiles of BC-containing aerosols would be valuable in evaluating regional and global models' simulated BC spatial distributions [49].…”

Section: Discussionmentioning

confidence: 99%

Quantifying Impacts of Aerosol Mixing State on Nucleation-Scavenging of Black Carbon Aerosol Particles

2018

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Abstract:Recent observational studies suggest that nucleation-scavenging is the principal path to removing black carbon-containing aerosol from the atmosphere, thus affecting black carbon's lifetime and radiative forcing. Modeling the process of nucleation-scavenging is challenging, since black carbon (BC) forms complex internal mixtures with other aerosol species. Here, we examined the impacts of black carbon mixing state on nucleation scavenging using the particle-resolved aerosol model PartMC-MOSAIC. This modeling approach has the unique advantage that complex aerosol mixing states can be represented on a per-particle level. For a scenario library that comprised hundreds of diverse aerosol populations, we quantified nucleation-scavenged BC mass fractions. Consistent with measurements, these vary widely, depending on the amount of BC, the amount of coating and coating material, as well as the environmental supersaturation. We quantified the error in the nucleation-scavenged black carbon mass fraction introduced when assuming an internally mixed distribution, and determined its bounds depending on environmental supersaturation and on the aerosol mixing state index χ. For a given χ value, the error decreased at higher supersaturations. For more externally mixed populations (χ < 20%), the nucleation-scavenged BC mass fraction could be overestimated by more than 1000% at supersaturations of 0.1%, while for more internally mixed populations (χ > 75%), the error was below 100% for the range of supersaturations (from 0.02% to 1%) investigated here. Accounting for black carbon mixing state and knowledge of the supersaturation of the environment are crucial when determining the amount of black carbon that can be incorporated into clouds.

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Section: Discussionmentioning

confidence: 99%

Quantifying Impacts of Aerosol Mixing State on Nucleation-Scavenging of Black Carbon Aerosol Particles

2018

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“…On the other hand, more explicit representations of aerosol physicochemical properties and simulations of aerosol atmospheric processing have been conducted in process level modeling frameworks [24][25][26][27][28][29][30] to evaluate the impacts of aerosols on climate-relevant quantities. Curtis et al, 31 developed particle-resolved aerosol representation in single column mode of WRF-Chem meteorology-chemistry coupled model to simulate vertical distribution of mixing state. Recently, Ching and Kajino 14 evaluated the mixing state impact on particle deposition efficiency in the human respiratory tract by developing particle-resolved deposition model.…”

Section: Introductionmentioning

confidence: 99%

Aerosol mixing state revealed by transmission electron microscopy pertaining to cloud formation and human airway deposition

et al. 2019

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Aerosol mixing state is one of the most important factors determining the impacts of aerosol particles on aerosol-cloud-climate interactions and human health. The size, composition, and morphology of about 32,000 single particles are analyzed using transmission electron microscopy (TEM) to evaluate per-particle mixing state. Based on the TEM analysis, we quantify aerosol mixing state and examine the impacts of per-particle mixing state on cloud condensation nuclei (CCN) properties and particle deposition efficiency along the human respiratory tract. Assuming homogeneous chemical composition across the aerosol population, a common practice in many global and regional models to various extents, we show that such simplification of mixing state representation could potentially lead to remarkable errors, a maximum of about 90% and 35%, in CCN concentrations and deposition efficiency calculations respectively. Our results from ambient per-particle observations highlight the importance of considering aerosol mixing state in both air quality models and climate models.

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“…box model [221] and WRF single column model [222]. Condensation, coagulation adds masses of the smaller particle to the source bin of the larger particle.…”

Section: Composition Of Each Particle Is Resolvedmentioning

confidence: 99%

“…In practice, generally 10 5 individual particles are simulated in PartMC-MOSAIC simulations. Due to computational expenses, it is generally used only within a single-box model, but it has been operated within a single-column model [222].…”

Section: Particle-resolvingmentioning

confidence: 99%

A Review of the Representation of Aerosol Mixing State in Atmospheric Models

Stevens

Dastoor

2019

Atmosphere

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Aerosol mixing state significantly affects concentrations of cloud condensation nuclei (CCN), wet removal rates, thermodynamic properties, heterogeneous chemistry, and aerosol optical properties, with implications for human health and climate. Over the last two decades, significant research effort has gone into finding computationally-efficient methods for representing the most important aspects of aerosol mixing state in air pollution, weather prediction, and climate models. In this review, we summarize the interactions between mixing-state and aerosol hygroscopicity, optical properties, equilibrium thermodynamics and heterogeneous chemistry. We focus on the effects of simplified assumptions of aerosol mixing state on CCN concentrations, wet deposition, and aerosol absorption. We also summarize previous approaches for representing aerosol mixing state in atmospheric models, and we make recommendations regarding the representation of aerosol mixing state in future modelling studies.

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A single-column particle-resolved model for simulating the vertical distribution of aerosol mixing state: WRF-PartMC-MOSAIC-SCM v1.0

Cited by 15 publications

References 60 publications

Quantifying Impacts of Aerosol Mixing State on Nucleation-Scavenging of Black Carbon Aerosol Particles

Quantifying Impacts of Aerosol Mixing State on Nucleation-Scavenging of Black Carbon Aerosol Particles

Aerosol mixing state revealed by transmission electron microscopy pertaining to cloud formation and human airway deposition

A Review of the Representation of Aerosol Mixing State in Atmospheric Models

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