Contrasting source contributions of Arctic black carbon to atmospheric concentrations, deposition flux, and atmospheric and snow radiative effects

Matsui, Hitoshi; Mori, Tatsuhiro; Ohata, Sho; Moteki, Nobuhiro; Oshima, Naga; Goto‐Azuma, Kumiko; Koike, M.; Kondo, Yutaka

doi:10.5194/acp-2021-1091

Cited by 3 publications

(3 citation statements)

References 42 publications

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“…We use the volatility basis set (VBS) scheme (Donahue et al., 2006) for the simulation of SOA formation in our global aerosol model (CAM‐ATRAS; see Text S1 in Supporting Information and the references therein for the details) (Matsui, 2017; Matsui & Mahowald, 2017). CAM‐ATRAS simulations have been validated in our recent studies for the mass and number concentrations of various aerosol components and their optical properties using a wide range of measurements (Gliß et al., 2021; Kawai et al., 2021; Liu & Matsui, 2021a, 2021b; Matsui & Liu, 2021; Matsui & Moteki, 2020; Matsui et al., 2018, 2022). In the VBS approach, we define several surrogate volatility species to represent the oxidation and aging of semi‐ and intermediate volatile organic compounds (S/IVOCs), which have been widely included to improve simulated OA mass concentrations over both land and ocean areas (Matsui et al., 2014; Shrivastava et al., 2011; Tsimpidi et al., 2016).…”

Section: Resultsmentioning

confidence: 99%

Secondary Organic Aerosol Formation Regulates Cloud Condensation Nuclei in the Global Remote Troposphere

Liu

Matsui

2022

Geophysical Research Letters

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Formation of secondary organic aerosols (SOA) through the atmospheric oxidation of organic vapors has potential to enable particle growth to cloud condensation nuclei (CCN)‐relevant sizes. In this work, we constrain a global aerosol model by using aircraft measurements to reveal the global importance of SOA formation in CCN production. Our improved model, with explicit size‐resolved aerosol microphysics and parametrizations of semivolatile organic oxidation products, presents a state‐of‐the‐art performance in simulating both particle number concentrations and organic aerosol concentrations dominated (80–95%) by SOA in the remote atmosphere, which have been challenges in previous modeling studies. The SOA formation in concert with aerosol nucleation contributes to more than 50% of CCN concentrations in those pristine environments featuring low background aerosol concentrations. We estimate that the SOA‐derived CCN alters the magnitude of cloud radiative forcing by ∼0.1 W m−2. Our findings underscore the necessity for aerosol‐climate models to represent controls on CCN concentrations by SOA production.

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Section: Resultsmentioning

confidence: 99%

Secondary Organic Aerosol Formation Regulates Cloud Condensation Nuclei in the Global Remote Troposphere

Liu

Matsui

2022

Geophysical Research Letters

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“…Optical properties and cloud condensation nuclei (CCN) properties are calculated theoretically for each two‐dimensional bin. CAM‐ATRAS simulations have been validated in our previous studies through comparisons with surface, aircraft, and satellite observations for the mass concentrations of each aerosol species, aerosol number concentrations, aerosol size distributions, CCN number concentrations, and optical properties (e.g., Gliβ et al., 2021; Kawai et al., 2021; Liu & Matsui, 2021a; Matsui & Mahowald, 2017; Matsui, Mahowald, et al., 2018; Matsui et al., 2022; Ohata et al., 2021). The CAM‐ATRAS model also reproduced the observed hygroscopic growth of aerosols (defined as the particle light scattering coefficient at the relative humidity of 85% divided by its dry value at the relative humidity of 40%) in the Arctic well (Burgos et al., 2020).…”

Section: Methodsmentioning

confidence: 99%

Substantial Uncertainties in Arctic Aerosol Simulations by Microphysical Processes Within the Global Climate‐Aerosol Model CAM‐ATRAS

Matsui

Liu

2022

JGR Atmospheres

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Aerosols can modulate the Arctic climate through their interactions with radiation, clouds, and snow and ice surfaces. Atmospheric simulations of Arctic aerosols remain highly uncertain, for which the importance of aerosol microphysical properties and processes has not been properly evaluated. To identify the cause of this large uncertainty, we evaluate the variability ranges of aerosols in the Arctic resulting from uncertainties in various aerosol microphysical properties/processes, including particle size distributions at emission, particle mixing states, activation efficiency, and wet removal processes, by using a global climate‐aerosol model Community Atmosphere Model with the Aerosol Two‐dimensional bin module for foRmation and Aging Simulation. We find that the combined uncertainties associated with these multiple microphysical properties/processes yield a factor of 10–50 differences (maximum‐to‐minimum ratio) in the concentrations and radiative effects of aerosols in the Arctic. Black carbon shows the highest variability among aerosol species because its lower hygroscopicity and higher critical supersaturation cause the fraction of activation and wet removal during transport to be highly sensitive to the model treatment of aerosol and cloud microphysics. Aerosol‐radiation‐cloud interactions at the top of atmosphere vary from −0.40 to +0.30 W m−2 in the Arctic (from the preindustrial to present day) and can be positive or negative depending on the treatment of microphysical properties/processes. These results indicate that microphysical properties/processes are more important than previously thought in aerosol simulations in the Arctic and demonstrate that a better understanding and more sophisticated model representation of aerosol microphysical properties/processes are required to improve the accuracy of Arctic aerosol simulations and their impacts on climate.

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“…The improvement of aerosol in-cloud wet scavenging process was included to improve the modelling of aerosol long-range transport efficiency [Liu and Matsui, 2021]. The CAM-ATRAS model has been adequately validated for aerosol mass and number concentrations at a global scale using comprehensive measurements from the ground to the upper troposphere [Gliß et al, 2021;Kawai et al, 2021;Matsui and Liu, 2021;Matsui et al, 2022;Matsui and Moteki, 2020].…”

Section: Global Aerosol Modelmentioning

confidence: 99%

Representation of iron aerosol size distributions is critical in evaluating atmospheric soluble iron input to the ocean

Liu,

Matsui,

Hamilton

et al. 2024

Preprint

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Abstract. Atmospheric aerosol deposition acts as a major source of soluble (bioavailable) iron in open ocean regions where it limits phytoplankton growth and primary production. The aerosol size distribution of emitted iron particles, along with particle growth from mixing with other atmospheric components, is an important modulator of its long-range transport potential. There currently exists a large uncertainty in the particle size distribution of iron aerosol, and the role of aerosol size in shaping global soluble iron deposition is thus unclear. In this study, we couple a sophisticated microphysical, size-resolved aerosol model with an iron-speciated and -processing module to disentangle the impact of iron emission size distributions on soluble iron input to the ocean, with a focus on anthropogenic combustion and metal smelting sources. We first evaluate our model results against a global-scale flight measurement dataset for anthropogenic iron concentration and find that the different representations of iron size distribution at emission, as adopted in previous studies, introduces a variability in modeled iron concentrations over remote oceans of a factor of 10. Shifting the iron aerosol size distribution toward finer particle sizes (<1 μm) enables longer atmospheric lifetime (a doubling), promoting atmospheric processing that enhances the soluble iron deposition to ocean basins by up to 50 % on an annual basis. Importantly, the monthly enhancements reach 110 % and 80 % over the Southern Ocean and North Pacific Ocean, respectively. Compared with emission flux uncertainties, we find that iron emission size distribution plays an equally important role in regulating soluble iron deposition, especially to the remote oceans. Our findings provide implications for understanding the effects of atmospheric nutrients input on marine biogeochemistry, including but not limited to iron, phosphorus, and others.

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Contrasting source contributions of Arctic black carbon to atmospheric concentrations, deposition flux, and atmospheric and snow radiative effects

Cited by 3 publications

References 42 publications

Secondary Organic Aerosol Formation Regulates Cloud Condensation Nuclei in the Global Remote Troposphere

Secondary Organic Aerosol Formation Regulates Cloud Condensation Nuclei in the Global Remote Troposphere

Substantial Uncertainties in Arctic Aerosol Simulations by Microphysical Processes Within the Global Climate‐Aerosol Model CAM‐ATRAS

Representation of iron aerosol size distributions is critical in evaluating atmospheric soluble iron input to the ocean

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