Abstract
Weather events have a significant impact on airport performance and cause delayed operations if the airport capacity is constrained. We provide quantification of the individual airport performance with regards to an aggregated weather-performance metric. Specific weather phenomena are categorized by the air traffic management airport performance weather algorithm, which aims to quantify weather conditions at airports based on aviation routine meteorological reports. Our results are computed from a data set of 20.5 million European flights of 2013 and local weather data. A methodology is presented to evaluate the impact of weather events on the airport performance and to select the appropriate threshold for significant weather conditions. To provide an efficient method to capture the impact of weather, we modelled departing and arrival delays with probability distributions, which depend on airport size and meteorological impacts. These derived airport performance scores could be used in comprehensive air traffic network simulations to evaluate the network impact caused by weather induced local performance deterioration.
Highlights
Future 4D aircraft trajectories demand consideration of economic, environmental and operational constraints
Instead of analysing single meteorological elements of Meteorological Aviation Routine Weather Report (METAR), we use the ATMAP algorithm [37], which offers an approach to quantify and aggregate the METAR data focusing on their particular impacts to the air traffic
The use of delay probability distributions to model the impact of weather as a function of airport size and ATMAP score is an efficient method to capture the impact of weather on the Air Traffic Management (ATM) network level
Summary
Future 4D aircraft trajectories demand consideration of economic, environmental and operational constraints. We analyse the correlation of the on-time performance of flight operations with the weather present at airports, taken from the Meteorological Aviation Routine Weather Report (METAR). This approach could be used to predict delay generation and propagation through the network as well as to analyse and implement reliable mitigation strategies. The quantified weather conditions are compared against a comprehensive data set of European flights of 2013 with about 20.5 million flights and are statistically analysed This analysis results in both a quantification of the individual airport performance and an aggregated performance metric, which could be used in comprehensive air traffic network simulations to evaluate the network impact of local performance deterioration.
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