The terminal-area challenge
Aviation efficiency is won or lost in the Terminal Maneuvering Area (TMA). Standard global models often fail to predict the precise onset and dissipation of fog or low clouds, leading to conservative spacing and capacity reductions.
Weatherwise focuses on the aerodrome scale. By running hectometric models (200m–500m), we resolve the local moisture and cooling processes that drive fog formation. This allows airport operators and ATC to predict visibility changes with greater accuracy, optimizing runway throughput.
Safety against wind shear, turbulence and icing
Low-level wind shear is a critical safety hazard, often caused by terrain or nearby buildings disrupting airflow.
- Terrain Effects: We model the interaction of wind with surrounding topography, predicting shear zones on approach paths.
- Convection: Our physics-based approach resolves the early stages of convective cell development, giving pilots and dispatchers earlier warning of developing storms than radar extrapolation alone.
Low-level wind shear is a critical safety hazard, often caused by terrain or nearby buildings disrupting airflow.
- Terrain Effects: We model the interaction of wind with surrounding topography, predicting shear zones on approach paths.
- Convection: Our physics-based approach resolves the early stages of convective cell development, giving pilots and dispatchers earlier warning of developing storms than radar extrapolation alone.
Winter operations & de-icing
Winter weather is the biggest disruptor of airline schedules. Accurate prediction of precipitation type (snow vs. freezing rain) and accumulation rates is vital for de-icing logistics.
Our high-resolution output distinguishes between mixed-phase precipitation types at the surface. This supports "De-icing Management Systems," helping ground handlers optimize fluid usage and hold-over times, ensuring aircraft are safe to depart without unnecessary delays.
Winter weather is the biggest disruptor of airline schedules. Accurate prediction of precipitation type (snow vs. freezing rain) and accumulation rates is vital for de-icing logistics.
Our high-resolution output distinguishes between mixed-phase precipitation types at the surface. This supports "De-icing Management Systems," helping ground handlers optimize fluid usage and hold-over times, ensuring aircraft are safe to depart without unnecessary delays.
Integration with CDM
Collaborative Decision Making (CDM) relies on a shared view of reality. We provide the meteorological backbone for this collaboration.
Airlines and airports can trigger high-resolution forecasts for specific hubs via our API. The data—wind profiles, temperature, visibility—is delivered systematically to your S3 bucket, feeding flight planning software and operations centers with the fidelity needed for precise fuel planning and slot management.
Collaborative Decision Making (CDM) relies on a shared view of reality. We provide the meteorological backbone for this collaboration.
Airlines and airports can trigger high-resolution forecasts for specific hubs via our API. The data—wind profiles, temperature, visibility—is delivered systematically to your S3 bucket, feeding flight planning software and operations centers with the fidelity needed for precise fuel planning and slot management.
