Aniel JardinesUniversity Carlos III de Madrid | UC3M
Aniel Jardines
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7
Publications
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Publications
Publications (7)
In recent years, convective weather has been the cause of significant delays in the European airspace. With climate experts anticipating the frequency and intensity of convective weather to increase in the future, it is necessary to find solutions that mitigate the impact of convective weather events on the airspace system. Analysis of historical a...
Convective weather is a large source of disruption for air traffic management operations. Being able to predict thunderstorms the day before operations can help traffic managers plan around weather and improve air traffic flow management operations. In this paper, machine learning is applied on data from satellite storm observations and ensemble nu...
A main objective of Air Traffic Flow Management is matching airspace and airport capacity with demand. Being able to accurately predict unexpected disruptions to the air traffic network, such as convective weather is essential in order to make better informed decisions and improve performance of the system. In this paper we demonstrate how machine...
In recent years, convective weather has been the cause of significant delays in the European airspace. With climate experts anticipating the frequency and intensity of convective weather to increase in the future, it is necessary to find solutions to mitigate the impact of convective weather events on the airspace system. Analysis of historical air...
Projects
Projects (2)
The general objective of MetATS is to improve the air traffic system, in terms of efficiency and safety, by integrating improved weather information, and in particular improved weather prediction uncertainty. Several post-processing techniques of meteorological information (Ensemble Prediction Systems - EPS, and Rapidly Developing Thunderstorms) and several air traffic problems (both at the trajectory scale and at the traffic scale) will be addressed in the project. In particular, the problems to be tackled are: 1) generation of more efficient and safer reference trajectories that incorporate the avoidance of weather hazards such as convective activity and turbulence, 2) tactical aircraft trajectory planning in the presence of evolving thunderstorms, 3) conflict detection and resolution with a look-ahead time of up to 60 minutes, and 4) learning control techniques to improve the precision in tracking the planned trajectories in airspaces with high traffic density.
