| Session Details | |
| Section | AS - Atmospheric Sciences |
| Session Title | Analysis and Prediction of Aviation Weather Hazards Including the Impact of Climate Variability and Change |
| Main Convener | Dr. Jung-Hoon Kim (National Oceanic and Atmospheric Administration, United States) |
| Co-convener(s) | Prof. Hye-Yeong Chun (Yonsei University, Korea, South) Dr. Todd Lane (The University of Melbourne, Australia) |
| Session Description | Rapidly growing air travel and frequent high-impact weather events have contributed to increased weather-related aircraft incidents all over the world. These justify the need for better predictions of aviation weather hazards such as deep convection, turbulence, wave breaking, low-level wind shear, gust wind and crosswind, low ceiling and visibility, lightning, winter storms, icing threats, high ice water content, and contrails. Recent advances in weather analysis and forecasting techniques have arisen from improved observations (e.g., remote sensing, in situ aircraft measurements, and high frequency soundings), high-resolution Numerical Weather Prediction (NWP) models, new statistical evaluation tools, and data mining and machine learning skills. These advances directly and indirectly improve the safety, efficiency, and environmental impact of aviation operations. For the next-generation of globally harmonized and environmentally friendly Air-Traffic Management (ATM) decision-support strategies, there are significant opportunities in all areas of weather analysis, forecasting, and climate research. This session solicits observational, theoretical, and modeling studies relevant to aviation weather hazards. Topics include (but not limited to): 1) Improvements in remote sensing, in situ measurement, and sounding data techniques for better situational awareness 2) Advances in data assimilation, dynamic core, initial and boundary conditions, and physical parameterizations in NWP models 3) Better understanding of synoptic, mesoscale, and microscale meteorological processes and hazard generation mechanisms 4) Case studies of the downscaling processes using observational campaigns and/or high-resolution model simulations 5) Development of the integrated and automated post-processing algorithms and their evaluations 6) Better representations of weather uncertainties based on robust and calibrated spread of NWP ensemble members 7) Realistic projection and downscaling studies of the impact of climate variability and change on aviation |