Recent Advances in Atmospheric Optics: From Advanced Instrumentation and Techniques to Applications in Aerosol Monitoring
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".
Deadline for manuscript submissions: 18 April 2025 | Viewed by 537
Special Issue Editor
Interests: remote sensing techniques for environmental monitoring; long-range transport of aerosols; pollution; environmental engineering; atmospheric pollution; analytical microscopy; nanoscale imaging and spectroscopy; optical atmosphere; spectroscopy and lasers; physics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Atmospheric optics is an interdisciplinary field that studies the interaction of light with the Earth's atmosphere. It has wide applications in fields such as air pollution, meteorology, climatology, astronomy, and telecommunications. Recent years have seen significant progress in atmospheric optics due to the development of new instruments and observation techniques.
This Special Issue presents the latest advances in atmospheric optics, with a focus on applications in aerosol monitoring. The topics covered will address the impact of atmospheric aerosols on air quality, human health, climate, and visibility, as well as their sources and monitoring methods. It will include a variety of articles, from literature reviews and case studies to presentations of advanced tools and techniques, covering the following areas of interest:
- Technological breakthroughs and advances
- Development of advanced optical instruments and new and improved techniques for investigating atmospheric aerosols;
- Advanced modelling and simulation of light propagation in complex aerosol environments.
- Applications and impact
- Air quality monitoring and air pollution;
- Detection and characterisation of aerosol emissions from natural and anthropogenic sources;
- Contributions to climate and climate change;
- Applications in meteorology, telecommunications, and other related fields.
- Machine learning technologies for analysing atmospheric data
- Machine learning algorithms for processing and interpreting data from atmospheric optical instruments;
- Development of predictive models to determine trends in atmospheric parameters;
- Identifying complex patterns in atmospheric data using deep learning techniques;
- Improving data quality and correcting measurement errors;
- Automatic classification of aerosol types and identification of their sources;
- Forecasting air quality and extreme weather events;
- Development of early warning systems for air pollution.
- Case studies (examples)
- Presentation of practical examples of the use of new optical instruments and techniques for the study of aerosols in different environments and regions;
- Analysis of the impact of these studies on understanding the atmosphere and addressing issues of air quality and climate change;
- Use of machine learning to analyse atmospheric data and identify trends in global aerosol concentrations for the development of prediction models.
Dr. Marius M. Cazacu
Guest Editor
Manuscript Submission Information
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Keywords
- advanced optical instruments
- advanced modelling and simulation
- machine learning technologies
- air quality monitoring
- atmospheric aerosol and pollution
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