Simulation of Cloud Microphysical and Chemical Processes Using a Multicomponent Framework. Part I: Description of the Microphysical Model

Chen, Jen‐Ping; Lamb, Dennis

doi:10.1175/1520-0469(1994)051<2613:socmac>2.0.co;2

Cited by 108 publications

(129 citation statements)

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“…To investigate this effect, the activation and subsequent condensation growth of CCN particles during adiabatic ascents are simulated by using a parcel model. To simulate such processes, the parcel model of Chen and Lamb (1994) was modified to include the κ-Köhler theory of Petters and Kreidenweis (2007) instead of the classical Köhler theory.…”

Section: Validation Of the Parcel Modelmentioning

confidence: 99%

CCN Ability of Asian Mineral Dust Particles and Their Effects on Cloud Droplet Formation

Yamashita¹,

Murakami²,

Hashimoto³

et al. 2011

Journal of the Meteorological Society of Japan

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To understand the cloud condensation nuclei (CCN) ability of Asian mineral dust particles, we investigated the activation spectrum (fraction) and the hygroscopicity parameter κ of the certified reference materials for Asian mineral dust (CAD) particles. The CAD particles were dispersed in dry conditions using a rotating brush generator and then measured with a cloud condensation nuclei counter and a condensation particle counter. The concentration ratios of CCN to condensation nuclei (CN) of the CAD particles were 0.7 at supersaturation (SS) = 0.2% and 0.8 at SS = 0.4%. This suggests that Asian mineral dust particles, by themselves, may effectively act as CCN. The mean hygroscopic parameter κ of the CAD particles estimated from the relationship between the measured critical supersaturation and dry diameter was 0.014. Using this κ-value, we simulated the change in the size distribution from CCN to droplets during adiabatic ascent by a parcel model. The simulation suggested that the CAD (low hygroscopicity) particles do not grow large enough to promote collision-coalescence in the early stage of cloud formation. The hygroscopic parameter κ of internally mixed particles of CAD and sea salt was calculated by using the κ-Köhler theory, and their activation and subsequent condensation growth processes during adiabatic ascent were also simulated with the parcel model. The simulation results suggest that the hygroscopicity of Asian mineral dust particles was considerably enhanced, and droplets activated on them grew much larger than those activated on pure mineral dust particles.

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Section: Validation Of the Parcel Modelmentioning

confidence: 99%

CCN Ability of Asian Mineral Dust Particles and Their Effects on Cloud Droplet Formation

Yamashita¹,

Murakami²,

Hashimoto³

et al. 2011

Journal of the Meteorological Society of Japan

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“…The processes considered are shown in Figure 1. These formulas are derived based on the statistical analyses of a parcel model simulation using the detailed cloud microphysics of Chen and Lamb (1994) in which 90 bins of condensate drops are explicitly resolved. Because cloud drop sizes can be accurately calculated based on prognostic cloud drop numbers, the explicit formulas for autoconversion eliminate the need for using an arbitrary threshold of cloud water to form rainwater, which is commonly done in many schemes (e.g.…”

Section: Modelmentioning

confidence: 99%

A modelling study of aerosol impacts on cloud microphysics and radiative properties

Cheng

Wang

Chen

2007

Quart J Royal Meteoro Soc

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A warm cloud microphysical parameterization was incorporated into a regional model to study the sensitivity to aerosols of cloud-radiative properties and precipitation. Assuming a trimodal lognormal aerosol size distribution, the aerosol numbers were explicitly calculated from prognostic aerosol masses, considering advection, diffusion, and cloud and raindrop activation/deactivation processes. Clean continental, average continental and urban aerosols, each with different modal parameters, were used to serve as condensation nuclei (CCN) of cloud-and raindrops, whose activations depended on supersaturation and aerosol composition.Consistent with other studies, simulations conducted for a warm cloud system indicate that more aerosols result in more cloud water and more, but smaller, cloud drops, yielding increases in cloud albedo and decreases in surface precipitation. For example, the cloud drop effective radius decreased from ∼9 µm for clean continental aerosols to ∼5 and ∼2 µm, respectively, for average continental and urban aerosols, resulting in an increase in the respective cloud water path by ∼10% and ∼35% and cloud albedo by ∼6% and ∼12%. On the other hand, the accumulated precipitation decreased from 2.2 mm for clean continental aerosols to 1.9 and 1.2 mm, respectively, for average continental and urban aerosols. The presence of giant nuclei increased both the cloud drop effective radius and the precipitation, while the use of volumetric cloud drop radius tended to result in larger estimated cloud solar radiative forcing than the use of effective cloud drop radius.

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“…This includes an automatic fitting process since the incoming data provides information at given diameters (i.e., no analytical function). The representation of the particle size distribution is similar to the so-called hybrid structure (Chen and Lamb, 1994) and features a fixed size grid containing uniform distributions each having an upper and a lower limit and a number density (i.e., a particle number concentration per diameter interval). Integration of number density from the lower to the upper size limit results in the number concentration within the bin.…”

Section: Discussionmentioning

confidence: 99%

Resolving nanoparticle growth mechanisms from size- and time-dependent growth rate analysis

Pichelstorfer¹,

Stolzenburg²,

Ortega³

et al. 2018

Atmos. Chem. Phys.

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Abstract. Atmospheric new particle formation occurs frequently in the global atmosphere and may play a crucial role in climate by affecting cloud properties. The relevance of newly formed nanoparticles depends largely on the dynamics governing their initial formation and growth to sizes where they become important for cloud microphysics. One key to the proper understanding of nanoparticle effects on climate is therefore hidden in the growth mechanisms. In this study we have developed and successfully tested two independent methods based on the aerosol general dynamics equation, allowing detailed retrieval of time-and size-dependent nanoparticle growth rates. Both methods were used to analyze particle formation from two different biogenic precursor vapors in controlled chamber experiments. Our results suggest that growth rates below 10 nm show much more variation than is currently thought and pin down the decisive size range of growth at around 5 nm where in-depth studies of physical and chemical particle properties are needed.

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Simulation of Cloud Microphysical and Chemical Processes Using a Multicomponent Framework. Part I: Description of the Microphysical Model

Cited by 108 publications

References 0 publications

CCN Ability of Asian Mineral Dust Particles and Their Effects on Cloud Droplet Formation

CCN Ability of Asian Mineral Dust Particles and Their Effects on Cloud Droplet Formation

A modelling study of aerosol impacts on cloud microphysics and radiative properties

Resolving nanoparticle growth mechanisms from size- and time-dependent growth rate analysis

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