Deadline for manuscript submissions: 20 May 2020.

Dear Colleagues,

We would like to draw your attention to a Special Issue of Atmosphere dedicated to contemporary research on particle transport in turbulent flows.

Interaction of solid particles and liquid droplets with turbulence is a common phenomenon in the atmosphere. The turbulent transport of mineral dust, aerosol or cloud droplets occurs continuously with different intensity and at different scales. A thorough analysis of these multiscale and multiphase flows is an important research task for a better understanding of atmospheric processes.

Apart from scientific aims, detailed knowledge in this field finds a large number of applications. In the area of environmental engineering, knowledge is important for predicting the dispersion of industrial pollution, and thus reducing the risk of environmental disasters. Another well-known growing problem is so-called low emission, the source of which are motorization and coal furnaces. Low emission leads to the release of smog, dust, and toxic gases. Further, the knowledge is central for meteorological applications. These include modeling of desert sandstorms, transport of volcanic ash and sea salt or precipitation formation from cloud droplets and ice crystals (such as rain, snow, hail, and graupel).

In recent years, great effort has been focused on the development of advanced weather forecasting systems. Today, the mesoscale numerical weather prediction (NWP) models provide regular forecasts at horizontal resolutions varying from several kilometers down to 1 kilometer. Development of NWP models is still progressing, and the current efforts are focused on their further improvement mainly by improving parameterizations of cloud microphysical processes and including effects of aerosol transport. A thorough analysis of turbulent transport should allow developing more realistic parameterization of cloud microphysical processes in the NWP systems.

We would like to invite you to contribute articles to this Special Issue by reporting on numerical, observational, and experimental studies that address this topic.

Dr. hab. Bogdan Rosa, prof. IMGW-PIB
Guest Editor