A new LES-based system for short-range forecasting of near-surface high impact weather at airports (ALERT)
|Funded by:||Deutscher Wetterdienst (DWD)|
The overall goal of the project is to provide a tested and evaluated LES-based forecasting system for airport environments. The system will act as a magnifying lens and will be suitable for the forecast of high-impact weather conditions related to the turbulent processes in the near-surface atmospheric boundary layer that cannot be adequately represented in state-of-the-art numerical weather prediction (NWP) models. The system shall allow the operational forecast of critical conditions relevant for aviation and airport operation, namely the forecast of dense fog and severe wind gusts in stormy weather. The model shall be able to be driven by NWP model data and run fast enough at operational level with reasonable (limited) computational resources. In order to achieve this overall goal, the established and highly-optimized LES model PALM will be used.
In the course of the proposed project, analysis tools will be developed for the statistical evaluation of the four-dimensional LES data in order to extract spatial and temporal warning information relevant for the operation of airports. Also, one goal will be to minimize the computational requirements for operational use of the LES system by performing sensitivity studies regarding the required model domain size and grid resolution to capture all relevant turbulent processes.
Unlike current NWP models, the LES-based system aims at explicitly resolving the effects of the actual airport buildings and other surface properties, such as vegetation, impervious surfaces, and soil on the boundary layer turbulence. This will allow to explicitly predict e.g. effects of wake turbulence generated by airport buildings on aircraft during final approach. The three-dimensional character of the LES also will allow to retrieve spatial information of critical conditions, distributed along the runway track.