The session committee seeks contributions from all areas of aviation meteorology and meteorological research related to high impact weather events focusing on observational, theoretical, and modeling studies. Improved aviation meteorological products can enhance flight safety and efficiency, economic benefits, and minimizing the environmental impact of aviation worldwide. We invite submissions treating high-impact weather events over all scales from a few meters up to synoptic scales that affect aviation planning, performing, and evaluating.

Contributions are solicited specifically on all aspects of aviation meteorology including:
1) weather conditions affecting aviation industry: fog, icing, heavy precipitation, low visibility, lightning, wind shear, turbulence, wake vortices, tornados and hurricanes,
2) science of contrails: formation, development, and dissipation, nucleation processes, prediction, effect on local weather and climate change, and its occurrence over Arctic regions,
3) Arctic weather systems: ice fog, icing, ice clouds, blowing snow, heavy snow, and their predictions,
4) Unmanned Aerial Systems (UAS), tethered balloon systems, and aircraft use for understanding physics and dynamics of the clouds, including aircraft contrails, nowcasting, and ground validation for aviation operations,
5) new and emerging remote sensing technology including satellites, radars, lidars, ceilometers, and new platforms, including integrated observing systems,
6) field campaigns and projects (e.g. SAAWSO, NEXTGEN, SESAR) on cloud, weather, and the Air Traffic Management (ATM): testbed applications, instruments, observational based nowcasting, and flight planning,
7) weather aviation products related to nowcasting and missing planning: status and modernization of instruments used for visibility, icing, turbulence, and wind shear,
8) climatology of high impact weather events and their effect on aviation applications, and
9) use of aircraft and UAS observations for NWP Model improvements including microphysics of clouds and their parameterizations.