Probabilistic Nowcasting of Wind and Wind Profiles at the Vienna International Airport (Profcast)
Airplanes can only land safely when crosswinds or tailwinds do not exceed certain thresholds. Air traffic control needs accurate forecasts of the wind field for the final descent from about 2 km above ground to the runway in order to direct airplanes to a safe landing. In addition, knowing ahead of time when and how the wind will shift allows air traffic control to maximize airport capacity and minimize delays for travelers.
Objectives and Methods
The goal of this project is to produce near-realtime probabilistic forecasts for wind speed and wind direction along the final approach paths and at the touch-down points of the Vienna International Airport. We will use advanced statistical regression models with input from measurements at the airport and its vicinity including surface observations, remote sensing and aircraft measurements (MODE-S/AMDAR) and additional input from numerical weather prediction (NWP) systems.
Project Leader: Achim Zeileis (Department of Statistics, UIBK)
(Austro Control Österreichische Gesellschaft für Zivilluftfahrt mit beschränkter Haftung)