A three-dimensional sectional representation of aerosol mixing state for simulating optical properties and cloud condensation nuclei

Ching, Joseph; Zaveri, Rahul A.; Easter, Richard C.; Riemer, Nicole; Fast, Jerome D.

doi:10.1002/2015JD024323

Title: A three-dimensional sectional representation of aerosol mixing state for simulating optical properties and cloud condensation nuclei

Journal Article · Sat May 07 00:00:00 EDT 2016 · Journal of Geophysical Research: Atmospheres

DOI:https://doi.org/10.1002/2015JD024323· OSTI ID:1326133

Ching, Joseph ^[1]; Zaveri, Rahul A. ^[1]; Easter, Richard C. ^[1]; Riemer, Nicole ^[2]; Fast, Jerome D. ^[1]

Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Univ. of Illinois at Urbana-Champaign, Urbana, IL (United States)

Light absorption by black carbon (BC) particles emitted from fossil fuel combustion depends on the how thickly they are coated with non-refractory species such as ammonium, sulfate, nitrate, organics, and water. The cloud condensation nuclei (CCN) activation property of a particle depends on its dry size and the hygroscopicities of all the individual species mixed together. It is therefore necessary to represent both size and mixing state of aerosols to reliably predict their climate-relevant properties in atmospheric models. Here we describe and evaluate a novel sectional framework in the Model for Simulating Aerosol Interactions and Chemistry, referred to as MOSAIC-mix, that represents the mixing state by resolving aerosol dry size (D_dry), BC dry mass fraction (w_BC), and hygroscopicity (κ). Using ten idealized urban plume scenarios in which different types of aerosols evolve over 24 hours under a range of atmospherically relevant environmental conditions, we examine errors in CCN concentrations and optical properties with respect to a more explicit aerosol mixing state representation. We find that only a small number of w_BC and κ bins are needed to achieve significant reductions in the errors, and propose a configuration consisting of 24 D_dry bins, 2 w_BC bins, and 2 κ bins that gives 24-hour average errors of about 5% or less in CCN concentrations and optical properties, 3-4 times lower than those from size-only-resolved simulations. Here, these results show that MOSAIC-mix is suitable for use in regional and global models to examine the effects of evolving aerosol mixing states on aerosol-radiation-cloud feedbacks.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-76RL01830; SC0011771

OSTI ID:: 1326133

Report Number(s):: PNNL-SA-112961; KP1701000

Journal Information:: Journal of Geophysical Research: Atmospheres, Vol. 121, Issue 10; ISSN 2169-897X

Publisher:: American Geophysical UnionCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 20 works

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54 ENVIRONMENTAL SCIENCES
aerosol
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CCN
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aerosol model
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aerosol mixing state

Title: A three-dimensional sectional representation of aerosol mixing state for simulating optical properties and cloud condensation nuclei

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