Numerical Simulation and Forecast of Fog

Dear Colleagues,

Fog is a kind of typical low-visibility weather phenomenon that exerts adverse effects such as causing traffic accidents, impairing human health, and interrupting electrical services. Since the development of computer science and atmospheric numerical theory, enormous efforts have been put into fog numerical simulation and forecast. Numerical models, from simplified 1D models to complex 3D meteorology–chemistry coupled models, have been widely used during recent decades. Although much progress has been made, some issues still require intensive studies: 1) the qualitative and quantitative effect of natural and anthropogenic factors on fog; 2) physical and chemical progress in fog; 3) how to improve the simulation/forecast performance of numerical models.

Areas covered in our scope may include, but are not limited to, the following:

1. Fog lifecycles (formation, development, and dissipation).
2. Impact factors of fog (geography, climate/weather, boundary layer, underlying surface, air pollution, etc.).
3. Physical and chemical characteristics of fog (aerosols, microphysics, radiation, turbulence, etc.).
4. Development in fog numerical models (1D to 3D models, large-eddy models, new physical schemes, improved physical processes, etc.).
5. Fog/visibility diagnostic scheme in models.
6. Fog numerical forecast (data assimilation, ensemble forecast, statistic- and AI-based model post-processing, etc.).

Numerical models should be covered in submitted works. Using existing models or developing new models are both welcome.

Dr. Shuqi Yan
Prof. Dr. Duanyang Liu
Guest Editors

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• fog
• impact factors
• physical and chemical characteristics
• numerical forecast