Air Quality Prediction and Modeling
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Quality".
Deadline for manuscript submissions: closed (1 November 2022) | Viewed by 27433
Special Issue Editor
Special Issue Information
Dear Colleagues,
Air quality forecasting has become a major issue over the years. The societal demand to know the quality of the air that citizens breathe is constantly increasing. Thus, the modeling of atmospheric composition and forecasting systems have appeared worldwide.
The use of these atmospheric chemistry models, whether offline or online, allows for decision makers to choose the actions that need to be taken to limit the impact of pollution peaks on human health and the environment. Air-quality modelling also allows the impact of different physico-chemical processes on the occurrence of pollution episodes to be studied, and to for determination of the actions that need to be taken to limit pollution episodes in the long-term.
We call for contributions to quantify these impacts, which are essential to improve air quality modeling and develop more efficient forecasting platforms. Here are some examples of potential topics:
- Estimating the impact of different physical processes on air quality;
- Improving the meteorological dependence of anthropogenic emissions used as input to air-quality forecasting models;
- Validating new forecasting platforms;
- Improving air quality models’ response to socio-economic changes.
Dr. Joaquim Arteta
Guest Editor
Manuscript Submission Information
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Keywords
- air quality
- forecasting
- assimilation
- air pollution
- Ozone
- NOx
- particulate matter
- chemistry transport model
- operational system
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