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Atmosphere
Special Issues
Numerical Simulation of Aerosol Microphysical Processes (2nd Edition)
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Numerical Simulation of Aerosol Microphysical Processes (2nd Edition)

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Aerosols".

Deadline for manuscript submissions: 12 December 2025 | Viewed by 1438

Special Issue Editors

Dr. Tianyi Fan

E-Mail Website
Guest Editor
Faculty of Geographic Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
Interests: aerosol modeling; climate models; aerosol–cloud interaction
Special Issues, Collections and Topics in MDPI journals
Dr. Pengfei Yu

E-Mail Website
Guest Editor
Institute of Environment and Climate Research, Jinan University, Guangzhou 510632, China
Interests: stratosphere-troposphere exchange; stratospheric chemistry; climate numerical model development
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is the second volume in a series of publications dedicated to “Numerical Simulation of Aerosol Microphysical Processes” (https://www.mdpi.com/journal/atmosphere/special_issues/IT7J3Q968Z).

Aerosol microphysical processes are simulated in a wide variety of numerical models. From emission to removal, the life cycle of aerosols is treated with different levels of complexity. The performance of the simulation largely quantifies the modeled properties of aerosols, such as particle size distribution, number and mass concentrations, optical properties, hygroscopicity, etc.. These properties define the impact of aerosols on a broad range of issues related to human health, air quality, and climate through their influences on atmospheric chemistry, radiative forcing, cloud formation, and the hydrological cycle.

The aim of this Special Issue is to showcase the most recent advances in the numerical simulation of aerosol microphysical processes. We encourage the submission of manuscripts about innovations of simulations at the process level, including, but not limited to, emission of aerosols and precursor gases, nucleation/new particle formation, secondary formation of organics/inorganics aerosols, aging of preexisting aerosols, cloud droplet activation, wet scavenging, and dry deposition. The numerical models of interest include, but are not limited to, aerosol dynamical models, cloud-resolving models, air quality models, chemical transport models, weather prediction models, and regional/global climate models. We also welcome the submission of research on the linkage of aerosol microphysical properties to environmental and climatic impacts through the use of numerical models.

Dr. Tianyi Fan
Dr. Pengfei Yu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • aerosol microphysical processes
  • numerical simulation
  • aerosol and precursor gas emission
  • new particle formation
  • secondary aerosol formation
  • aging of aerosols
  • cloud formation
  • aerosol wet and dry removal
  • aerosol climate effect
  • aerosol impacts on environment

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Published Papers (2 papers)

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Research

20 pages, 3353 KiB  
Article
Improvements in Turbulent Jet Particle Dispersion Modeling and Its Validation with DNS
by Ege Batmaz, Florian Webner, Daniel Schmeling and Claus Wagner
Atmosphere 2025, 16(6), 637; https://doi.org/10.3390/atmos16060637 - 23 May 2025
Viewed by 143
Abstract
Particle dispersion models (PDMs) are essential to capture the influence of unresolved turbulent eddies on particle transport in computational fluid dynamics (CFD) simulations. However, the validation of these models remains challenging, especially when relying on experimental data or CFD simulations that are based [...] Read more.
Particle dispersion models (PDMs) are essential to capture the influence of unresolved turbulent eddies on particle transport in computational fluid dynamics (CFD) simulations. However, the validation of these models remains challenging, especially when relying on experimental data or CFD simulations that are based on turbulence models. In this work, we use time-averaged data obtained in a direct numerical simulation (DNS) instead of relying on turbulence models to model particle dispersion. In addition, a new particle dispersion model is presented, referred to as the limited particle–eddy interaction time (LPI) model. For a detailed and systematic evaluation of the new LPI model, we compare its performance with that of other commonly used models, such as the mean particle–eddy interaction time (MPI) model implemented in OpenFOAM® and the randomized particle–eddy interaction time (RPI) model from the literature. The MPI model shows good agreement with the DNS for the largest particles tested (Stokes number, St = 0.2) but exhibits erratic and unphysical trajectories for smaller particles (St ≤ 0.05). To mitigate this erratic behavior, we have adjusted the eddy interaction time in the new LPI model. Full article
(This article belongs to the Special Issue Numerical Simulation of Aerosol Microphysical Processes (2nd Edition))
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23 pages, 4305 KiB  
Article
The Study of Radioactive Fallout Source of Low-Equivalent Nuclear Bursts Based on Nuclear Cloud Simulation Using the CFD-DPM
by Yangchao Li, Qiang Liu, Wei Liu, Wenshuang Xian, Feifei Li and Kai Zhang
Atmosphere 2024, 15(12), 1421; https://doi.org/10.3390/atmos15121421 - 26 Nov 2024
Viewed by 928
Abstract
The activity-height distribution of radioactive particles in the stabilization cloud of a nuclear burst plays a crucial role in the radioactive fallout prediction model, serving as the source for transport, diffusion, and dose rate calculation modules. A gas-particle multiphase flow solver was developed [...] Read more.
The activity-height distribution of radioactive particles in the stabilization cloud of a nuclear burst plays a crucial role in the radioactive fallout prediction model, serving as the source for transport, diffusion, and dose rate calculation modules. A gas-particle multiphase flow solver was developed using the OpenFOAM Computational Fluid Dynamics (CFD) library and discrete phase method (DPM) library under a two-way coupling regime to simulate the U.S. standard atmosphere of 1976 with good stability. The accuracy of the numerical model was verified through low-equivalent nuclear weapons tests, including RANGER-Able and BUSTER-JANGLE-Sugar, depicting reasonable spatio-temporal changes in cloud profiles. The initialization module of the Defense Land Fallout Interpretative Code (DELFIC) and activity-size distribution, which considered fractionation, were employed for nuclear fireball and radioactive particle initialization. Simulations indicated that the activity-height distribution of the stabilization cloud mainly concentrated on the lower third of air burst cloud caps, while settling near the burst center for surface or near-surface bursts. This study has confirmed the effectiveness of the gas-particle flow solver based on the CFD-DPM method in simulating low-equivalent nuclear clouds and enriching research on radioactive fallout prediction models. Full article
(This article belongs to the Special Issue Numerical Simulation of Aerosol Microphysical Processes (2nd Edition))
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