Dynamics of Aerosol Distribution and Transport
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Aerosols".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 10
Special Issue Editors
Interests: aerosol observations and multi-dimensional modeling; new particle formation; biological aerosols such as pollen and fungal spores; aerial transport; aerosol radiative forcing; aerosol cloud interaction; biosphere-atmosphere interaction
Interests: atmospheric nucleation and growth; drizzle initiation and rain enhancement; atmospheric transport; algorithms for eliminating numerical diffusion in gridded atmospheric models
Special Issues, Collections and Topics in MDPI journals
Interests: global and regional modeling of aerosols and their interactions with the earth system including clouds, extreme events, hydrological, and biogeochemical cycles; incorporation of AI and machine-learning to enhance aerosol modeling; natural aerosols such as from wildfires, dust activities and biosphere
Interests: aerosol radiation interactions; aerosol-cryosphere interactions; radiative transfer modeling; satellite remote sensing of aerosols; development of aerosol measurement techniques; multi-platform atmospheric observation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We invite submissions for an upcoming Special Issue, titled “Dynamics of Aerosol Distribution and Transport”, which will address complexities of aerosol behavior in the atmosphere, encompassing their formation, transformation, and movement across various spatial and temporal scales. Key contributions may include the following:
- Mechanisms of aerosol formation and evolution, including new particle formation, growth and removal processes that impact aerosol size distributions, chemical composition, and phase.
- Aerosol transport processes with an emphasis on how meteorological conditions impact particle dispersal and life time.
- Vertical aerosol distributions, including their influences on radiation and cloud microphysical properties.
- Aerosol delivery within the human respiratory system, including the roles of particle size, deposition, and hygroscopicity in pathogen transmission, as well as indoor–outdoor aerosol dynamics influenced by airflow and environmental conditions.
- New approaches including ML/AI to improve model simulations.
Dr. Tamanna Subba
Dr. Robert L. McGraw
Dr. Yan Feng
Dr. Mukunda Gogoi
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
- serosol measurement and modeling
- new particle formation
- aerosol transport
- pathogen transmission
- aerosol–cloud interaction
- ML/AI approaches
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