Observation and Simulation of Aerosol, Cloud and Their Interactions
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 74
Special Issue Editors
Interests: cloud physics; aerosol–cloud interaction; remote sensing
Interests: aerosol–cloud interaction; aerosol–radiation interaction; global climate model
Special Issue Information
Dear Colleagues,
Aerosols and clouds play important roles in Earth’s climate system by modulating the radiative energy balance and the hydrological cycle. However, the large variability of cloud/aerosol properties and complex aerosol–cloud interactions (ACIs) remain a major source of uncertainty in future climate predictions.
Remote sensing technologies, such as satellite missions (e.g., geostationary satellites, CALIPSO, and CloudSat), airborne sensors, and ground-based networks, have been widely used for detecting aerosols, clouds, and radiation with high resolution and global coverage. The development of retrieval algorithms, data assimilation, machine learning, and multi-sensor fusion for these active and passive sensors provide encouraging and promising opportunities to advance the understanding of aerosols, clouds, and their interactions, as well as for better quantifying the climate impacts of anthropogenic aerosol emission mediated by clouds.
This Special Issue calls for original research focusing on remote sensing techniques, novel retrieval algorithms, high-accuracy simulations, and their applications in aerosol, cloud, precipitation, and radiation studies. The goal is to solicit new research aimed at improving the understanding of the key mechanisms related to cloud formation, dissipation, new particle formation (e.g., UAP), and ACIs. We especially encourage submissions revealing new insights into aerosol effects on cloud formation, lifetime cycle, and precipitation efficiency, as well as further feedback on regional climate based on observation/simulation.
Manuscripts addressing, but not limited to, the following topics are encouraged for submission:
- Aerosol–cloud interaction;
- Aerosol–cloud–radiation feedback mechanisms;
- Aerosol compositions and optical properties;
- AI application in aerosol–cloud interaction;
- Cloud microphysical/macrophysical properties;
- Cloud radiative effects;
- New particle formation;
- Ultrafine aerosol particles;
- Novel retrieval algorithms of aerosol and cloud;
- Simulation of aerosol–cloud interactions;
- Prediction of aerosol and cloud impacts on climate;
- Validation and application of aerosol and cloud remote sensing datasets;
- Newly designed remote sensing instruments for cloud/aerosol observations.
Prof. Dr. Zengxin Pan
Dr. Yawen Liu
Dr. Xin Lu
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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2700 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
- cloud
- aerosol–cloud interaction
- satellite observation
- simulation
- deep learning
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