Methodology for Predicting Sector Capacity in Convective Weather Conditions

Convective weather conditions limit airspace capacity and increase the complexity of air traffic. Currently, air nav-igation service providers calculate sector capacity using air traffic controller workload as reference. The aim of the research is to propose a method for predicting sector capacity in convective weather using air traffic complexity model. In this proposal existing air traffic complexity model should be remodeled to enable finer resolution of com-plexity results. Also, the model should be upgraded with a new type of indicator showing aircraft-weather interactions. The adopted air traffic complexity model, in combination with the trajectory prediction model and the Weather En-semble Forecast, should be able to provide a statistical characterisation of sector capacity under impending convec-tive weather conditions