Forecasting the weather and aviation meteorology
Convener: Yong Wang | Co-conveners: Jing Chen, Ken Mylne, David Richardson, Kathrin Wapler, Andrew Heymsfield
| Fri, 12 Apr, 08:30–12:30
Room 0.49
| Attendance Fri, 12 Apr, 14:00–15:45
Hall X5

This session will focus on weather forecasting and aviation meteorology, particularly related to high impact weather conditions, as well as the ones that affect aviation operations.
Recent research and developments on forecasting techniques and in-situ observations, in particular those related to operations and impact scenarios will be considered for submission. In addition to nowcasting, meso-scale, ensemble prediction, and statistical post-processing models, applications of these to aviation operations will also be considered. Airports and flights are affected by the poor weather conditions including low visibilities, strong wind shear and turbulence, and heavy rain or snow. Extreme weather conditions impact sensor performance, and the ability of airborne systems to maintain flight operations are critical for flights, and specifically for UAVs. Poor weather and associated airport conditions create challenges to the aviation Industry and results in billion dollars of financial loss.
In situ and remote sensing observations of weather, prediction by NWP models and integrated systems, as well as artificial intelligence/machine learning and aviation weather decision support systems are becoming important for aviation operations and decision making. This session will bring researchers together to discuss NWP model development for high impact weather and its application to aviation meteorological issues to reduce risk and adverse weather conditions.

Key Words: NWPs, Aviation meteorology, in-situ observations, forecast technique, nowcasting, convection permitting modelling, ensemble prediction, integrated weather observing systems,