Remote Sensing of Air Quality, Climate Change and Their Interactions
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 601
Special Issue Editors
Interests: transboundary air pollution; interactions between land, air quality and climate change; air quality forecast and future projection; sensitivity model development and application; artificial intelligence and air pollution; remote sensing of particulate matter and ozone; air pollutant exposure science; human health assessment
Special Issues, Collections and Topics in MDPI journals
Interests: limb sounding; limb scattering; satellite remote sensing; air quality
Interests: regional and global climate modelling and applications; severe convective storms and hazards; meteorological instrumentation; land–atmosphere interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Climate change has been confidently stated in the fifth and sixth Assessment Reports (AR5 and AR6) of the Intergovernmental Panel on Climate Change (IPCC) and is projected to continue. The climate is one of the critical factors driving air quality. Past research has reported the significant impacts of climate on air quality; nevertheless, our understanding of climate–air quality interactions remains uncertain. Assessing how climate change interacts with air quality becomes one of the major global challenges.
Remote sensing technologies such as satellites or LiDARs offer a unique and powerful tool for studying the climate–air quality interaction as the technologies allow for the collection of detailed data on atmospheric conditions at multiple scales, providing insights into the spatiotemporal dynamics of atmospheric systems. This has led to a growing interest in the use of remote sensing in climate and air quality research, particularly in the development of models and strategies for mitigating the impacts of these environmental challenges.
This Special Issue aims to provide an overview of the remote sensing applications for the study of climate–air quality interactions, and the future outlook and perspectives. The topic will cover state-of-the-art remote sensing technologies and explore how these tools are being used to understand the links between climate and air quality from both observational and modelling perspectives. In addition, this Special Issue will examine the potential future developments of remote sensing, and how it can assist in addressing the ongoing challenges of future air quality projection. Articles may address, but are not limited, to the following topics:
- Climate change observation and modelling;
- Aerosol–radiation–cloud interaction;
- Wildfire and climate change;
- Biomass burning—past and future;
- Haze and weather interaction and impacts;
- LiDAR application in air quality;
- Satellite retrieval of surface air quality;
- Ozone and heatwaves;
- Data assimilation in air quality projection;
- Artificial intelligence (AI) application in remote sensing for air quality assessment;
- New remote sensing tools for air quality monitoring;
- Public health.
Dr. Steve Hung Lam Yim
Dr. Christopher E. Sioris
Dr. Jingyu Wang
Dr. Tao Huang
Guest Editors
Manuscript Submission Information
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Keywords
- regional climate change
- air quality assessment
- remote sensing development
- extreme weather and air pollution
- aerosol-radiation-cloud interaction
- air pollution observation and modelling
- future air quality projection
- public health
- artificial intelligence
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