Numerical Weather Prediction Models in Atmospheric Dispersion
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".
Deadline for manuscript submissions: closed (20 September 2019) | Viewed by 4180
Special Issue Editor
Special Issue Information
Dear Colleagues,
Atmospheric dispersion of pollutants is of major interest to the public: from city-scale (such as vehicle emissions, industrial accidents) to continental and even global scale (such as the spread of volcanic gases and particulate matter), dispersion effects are likely to be of high impact and are often hazardous. Thus, the ability to realistically model such dispersion is crucial.
Recent advances in computational power have allowed numerical weather prediction (NWP) models to simulate the release and subsequent dispersion of pollutants. There are many advantages of using NWP models to simulate dispersion: such models usually contain state-of-the-art representations of a whole range of physical processes, such as turbulence and microphysics, they employ time-varying meteorological boundary conditions coupled with detailed surface characteristics, and they have a wide user base and support network. Some models also include full or partial chemistry, others simulate dispersion using passive tracers.
Articles are invited on all aspects of the use of NWP-type models in atmospheric dispersion including, but not limited to, case studies of individual events, broader climatological studies, novel techniques and applications of NWP in atmospheric dispersion modelling, emergency planning and the response to natural phenomena such as volcanic activity, the effects of topography upon dispersion, the influence of physical processes such as radiative effects, deposition, buoyancy, idealised frameworks or large-eddy formulations to determine or characterise dispersion properties.
Dr. Ralph Burton
Guest Editor
Manuscript Submission Information
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Keywords
- Atmospheric dispersion
- Numerical weather prediction
- Modelling
- Air quality
- Chemical transport
